MIRNA MODULATORS OF THERMOGENESIS

Information

  • Patent Application
  • 20150211005
  • Publication Number
    20150211005
  • Date Filed
    April 22, 2013
    12 years ago
  • Date Published
    July 30, 2015
    10 years ago
Abstract
Provided are novel methods and compositions for the modulation of thermogenesis. Such methods are particularly advantageous in that they allow for the reduction of body fat in a subject without the subject having to adjust their caloric intake through dieting, modify their physical activity or undergo bariatric surgery. Accordingly, the methods of the invention are particularly useful for treating or preventing obesity. Also provided are methods of screening for novel agents that modulate the activity of thermogenic regulators.
Description
BACKGROUND OF THE INVENTION

Obesity has reached pandemic proportions, affecting all ages and socioeconomic groups. The World Health Organization estimated that in 2008, 1.5 billion adults aged 20 years and older were overweight and over 200 million men and 300 million women were obese. These figures are estimated to increase to 2.16 billion overweight and 1.12 billion obese individuals by 2030. Obesity is the source of lost earnings, restricted activity days, absenteeism, lower productivity at work (presenteeism), reduced quality of life, permanent disability, significant morbidity and mortality, and shortened lifespan. Indeed, the total annual economic cost of overweight and obesity in the United States and Canada caused by medical costs, excess mortality and disability was estimated to be about $300 billion in 2009. International studies on the economic costs of obesity have shown that they account for between 2% and 10% of total health care costs.


Obesity is the result of a chronic imbalance between energy intake and expenditure. This leads to storage of excess energy into adipocytes, which typically exhibit both hypertrophy (increase in cell size) and hyperplasia (increase in cell number or adipogenesis). The recent worsening of obesity is due to the combination of excessive consumption of energy-dense foods high in saturated fats and sugars, and reduced physical activity.


The current symptomatic medical treatments of obesity fail to achieve their long-term therapeutic goals, largely due to limited drug efficacy and patients' poor adherence with lifestyle changes and therapies. Several obesity drugs have been removed from the market for safety reasons and small molecules currently in development are struggling to gain regulatory approval because of their modest short-term efficacy and unknown safety profile. Presently, only restrictive and malabsorptive bariatric surgery can achieve significant long-term reduction of weight excess with some favorable cardiovascular benefits.


Accordingly, there is a need in the art for novel treatments for obesity.


SUMMARY OF THE INVENTION

Obesity is the consequence of a chronic imbalance of energy intake over expenditure, leading to the storage of excess energy inside white adipocytes. This disclosure features a novel treatment for obesity targeting peripheral adipocytes, including energy-storing lipid-filled white adipocytes (WAT), and energy-expending mitochondria-rich brown adipocytes (BAT). In addition, the disclosure provides methods for the modulation of thermogenesis (the process of heat production in organisms) using microRNA (miRNAs) agents. The methods described herein generally involve the direct and/or indirect modulation of at least one thermogenic regulator (e.g., a mitochondrial uncoupler, such as Uncoupling Protein 1 (UCP1 also known as Thermogenin) or Uncoupling Protein 2 (UCP2)) in a cell, tissue and/or subject using an isolated miRNA agent. UCPs uncouple oxidative phosphorylation from ATP synthesis. In certain instances, this uncoupling reaction results in energy dissipated as heat. Such methods are particularly advantageous in that they allow for the reduction of body fat in a subject without the subject having to adjust their caloric intake through dieting, modify their physical activity or undergo bariatric surgery. Accordingly, the methods of the invention are particularly useful for treating or preventing obesity.


The invention also provides novel miRNA agent compositions (e.g., miRNA, agomirs, and antagomirs) that can modulate the activity of thermogenic regulators. Yet further, the invention provides methods of screening for novel miRNA agents that modulate the activity of thermogenic regulators. Further still, the invention provides novel agent compositions (e.g. aptamer-miRNA complexes or “aptamirs”) that provide cell/tissue-specific delivery of the miRNA agents.


Accordingly, in one aspect, the invention provides a method of modulating respiratory chain uncoupling in a cell, the method comprising contacting the cell with an isolated miRNA agent that modulates the expression level and/or activity of at least one mitochondrial uncoupler. In some embodiments, the method further comprises the step of selecting a subject in need of modulating respiratory chain uncoupling (e.g., an obese patient). In one embodiment, the miRNA agent increases the expression level and/or activity of the at least one mitochondrial uncoupler. In certain embodiments, the mitochondrial uncoupler is UCP1 or UCP2. In some embodiments, the method increases respiratory chain uncoupling in a cell in vivo. In other embodiments, the method increases respiratory chain uncoupling in a cell ex vivo. In certain embodiments, the method further comprises determining the level of expression (mRNA or protein) or activity of the mitochondrial uncoupler. In certain embodiments, the cell is a pre-adipocyte, adipocyte, adipose tissue derived mesenchymal stem cell, hepatocyte, myocyte, or a precursor thereof. Optionally, adipocytes can be white fat or brown fat adipocytes.


In another aspect, the invention provides a method of modulating thermogenesis in a tissue, the method comprising contacting the tissue with an isolated miRNA agent that modulates the expression level and/or activity of at least one mitochondrial uncoupler. In some embodiments, the method further comprises the step of selecting a subject in need of modulating thermogenesis (e.g., an obese patient). In one embodiment, the miRNA agent increases the expression level and/or activity of the at least one mitochondrial uncoupler. In certain embodiments, the mitochondrial uncoupler is UCP1 or UCP2. In certain embodiments, the method involves increasing thermogenesis. In certain embodiments, the method further comprises determining the level of expression (mRNA or protein) or activity of the mitochondrial uncoupler. In certain embodiments, the tissue is brown fat, white fat, subcutaneous adipose tissue, liver or muscle. In certain embodiments, the tissue is contacted with the miRNA agent ex vivo.


In another aspect, the invention provides a method of treating obesity in human subject in need of treatment thereof, the method generally comprising administering to the human subject an effective amount of a miRNA agent that modulates activity of at least one mitochondrial uncoupler. In certain embodiments, the human subject selected for treatment has a genetic or epigenetic predisposition to obesity. In certain embodiments, the mitochondrial uncoupler is UCP1, UCP2 or UCP3.


In certain embodiments of all of the above aspects, the miRNA agent is an isolated miRNA selected from the group consisting of hsa-miR-1-1, hsa-miR-1-2, miR-19a-b, hsa-miR-105, hsa-miR-1283, hsa-mir-129, hsa-miR-133a-1, hsa-miR-133a-2, hsa-miR-143, hsa-mir-143-5p, hsa-mir-147, hsa-mir-149, hsa-mir-199a, hsa-mir-199b, hsa-mir-200c, hsa-mir-204, hsa-mir-205, hsa-miR-206, hsa-mir-21, hsa-mir-211, hsa-mir-218, hsa-mir-218-1, hsa-mir-218-2, hsa-mir-219-2, hsa-mir-219-2-3p, hsa-mir-22, hsa-mir-22-3p, hsa-mir-22-5p, hsa-mir-24-2, hsa-miR-30a-e, hsa-miR-3177-5p, hsa-mir-325, hsa-mir-331, hsa-mir-331-5p, hsa-miR-3613-3p, hsa-mir-362, hsa-mir-362-5p, hsa-miR-3658, hsa-mir-367, hsa-mir-371, hsa-mir-371-5p, hsa-mir-377, hsa-mir-378, hsa-mir-378a-5p, hsa-mir-382, hsa-mir-383, hsa-mir-422a, hsa-mir-425, hsa-miR-455-3p, hsa-miR-455-5p, hsa-miR-491, hsa-mir-508, hsa-mir-508-5p, hsa-mir-512-1, hsa-mir-512-2, hsa-miR-515-3p, hsa-mir-519e, hsa-miR-520a, hsa-mir-543, hsa-mir-545, hsa-mir-549, hsa-mir-556, and hsa-miR-568, hsa-mir-620, hsa-mir-643, hsa-mir-654-3p, hsa-miR-7a-g, hsa-mir-765, hsa-mir-871, hsa-mir-888, hsa-mir-888-3p, hsa-mir-92b, hsa-mir-93, hsa-mir-96, and hsa-mir-99a. In certain embodiments of all of the above aspects, the miRNA agent is an isolated miRNA that is 80%, 85%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, or 99% identical to the sequence of a miRNA listed above. In certain embodiments of all of the above aspects, the miRNA agent is a seed sequence of a miRNA listed above.


In certain embodiments of all of the above aspects, the miRNA agent is an isolated miRNA selected from the group consisting of the 536 miRNAs set forth in Table 1. In certain embodiments of all of the above aspects, the miRNA agent is an isolated miRNA that is 80%, 85%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, or 99% identical to the sequence of a miRNA listed in Table 1. In certain embodiments of all of the above aspects, the miRNA agent is a seed sequence of a miRNA listed in Table 1.









TABLE 1





Adipocyte miRNAs listed in ascending order


(miRBase 19 nomenclature):

















hsa-let-7a-3p



hsa-let-7a-5p



hsa-let-7b-3p



hsa-let-7b-5p



hsa-let-7c



hsa-let-7d-3p



hsa-let-7d-5p



hsa-let-7e-5p



hsa-let-7f-1-3p



hsa-let-7f-5p



hsa-let-7g-3p



hsa-let-7g-5p



hsa-let-7i-3p



hsa-let-7i-5p



hsa-miR-1



hsa-miR-100-5p



hsa-miR-101-3p



hsa-miR-101-5p



hsa-miR-103a-2-5p



hsa-miR-103a-3p



hsa-miR-103b



hsa-miR-105-5p



hsa-miR-106a-5p



hsa-miR-106b-3p



hsa-miR-106b-5p



hsa-miR-107



hsa-miR-10a-3p



hsa-miR-10a-5p



hsa-miR-10b-3p



hsa-miR-10b-5p



hsa-miR-1179



hsa-miR-1185-5p



hsa-miR-1208



hsa-miR-122-5p



hsa-miR-1227-3p



hsa-miR-1228-5p



hsa-miR-1229-3p



hsa-miR-124-3p



hsa-miR-125a-3p



hsa-miR-125a-5p



hsa-miR-125b-1-3p



hsa-miR-125b-2-3p



hsa-miR-125b-5p



hsa-miR-126-3p



hsa-miR-126-5p



hsa-miR-1260a



hsa-miR-1260b



hsa-miR-1268a



hsa-miR-127-3p



hsa-miR-127-5p



hsa-miR-1271-5p



hsa-miR-1273a



hsa-miR-1277-3p



hsa-miR-128



hsa-miR-128-2



hsa-miR-1285-3p



hsa-miR-1287



hsa-miR-1288



hsa-miR-129-5p



hsa-miR-1290



hsa-miR-1292-5p



hsa-miR-1301



hsa-miR-1305



hsa-mir-1307-3p



hsa-miR-130a-3p



hsa-miR-130b-3p



hsa-miR-130b-5p



hsa-miR-132-3p



hsa-miR-132-5p



hsa-miR-1323



hsa-miR-133a



hsa-miR-133b



hsa-miR-134



hsa-miR-135a-5p



hsa-miR-135b-5p



hsa-miR-136-3p



hsa-miR-136-5p



hsa-miR-137



hsa-miR-138-1-3p



hsa-miR-138-5p



hsa-miR-139-3p



hsa-miR-139-5p



hsa-miR-140-3p



hsa-miR-140-5p



hsa-miR-141-3p



hsa-miR-142-3p



hsa-miR-142-5p



hsa-miR-143-3p



hsa-miR-143-5p



hsa-miR-144-3p



hsa-miR-144-5p



hsa-miR-145-3p



hsa-miR-145-5p



hsa-miR-1468



hsa-miR-146a-5p



hsa-miR-146b-3p



hsa-miR-146b-5p



hsa-miR-147a



hsa-miR-148a-3p



hsa-miR-148a-5p



hsa-miR-148b-3p



hsa-miR-148b-5p



hsa-miR-149-5p



hsa-miR-150-3p



hsa-miR-150-5p



hsa-miR-151a-3p



hsa-miR-151a-5p



hsa-miR-151b



hsa-miR-152



hsa-miR-153



hsa-miR-1539



hsa-miR-154-3p



hsa-miR-154-5p



hsa-miR-155-5p



hsa-miR-15a-3p



hsa-miR-15a-5p



hsa-miR-15b-3p



hsa-miR-15b-5p



hsa-miR-16-1-3p



hsa-miR-16-2-3p



hsa-miR-16-5p



hsa-miR-17-3p



hsa-miR-17-5p



hsa-miR-181a-2-3p



hsa-miR-181a-3p



hsa-miR-181a-5p



hsa-miR-181b-5p



hsa-miR-181c-3p



hsa-miR-181c-5p



hsa-miR-181d



hsa-miR-182-5p



hsa-miR-183-5p



hsa-miR-184



hsa-miR-185-3p



hsa-miR-185-5p



hsa-miR-186-3p



hsa-miR-186-5p



hsa-miR-187-3p



hsa-miR-188-5p



hsa-miR-18a-3p



hsa-miR-18a-5p



hsa-miR-18b-5p



hsa-miR-1909-3p



hsa-miR-190a



hsa-miR-190b



hsa-miR-191-3p



hsa-miR-191-5p



hsa-miR-192-5p



hsa-miR-193a-3p



hsa-miR-193a-5p



hsa-miR-193b-3p



hsa-miR-193b-5p



hsa-miR-194-5p



hsa-miR-195-3p



hsa-miR-195-5p



hsa-miR-196a-5p



hsa-miR-196b-5p



hsa-miR-197-3p



hsa-miR-198



hsa-miR-199a-3p



hsa-miR-199a-5p



hsa-miR-199b-3p



hsa-miR-199b-5p



hsa-miR-19a-3p



hsa-miR-19b-3p



hsa-miR-200a-3p



hsa-miR-200a-5p



hsa-miR-200b-3p



hsa-miR-200c-3p



hsa-miR-202-3p



hsa-miR-203a



hsa-miR-204-5p



hsa-miR-205-5p



hsa-miR-206



hsa-miR-20a-3p



hsa-miR-20a-5p



hsa-miR-20b-5p



hsa-miR-21-3p



hsa-miR-21-5p



hsa-miR-210



hsa-miR-211-5p



hsa-miR-2110



hsa-miR-212-3p



hsa-miR-214-3p



hsa-miR-214-5p



hsa-miR-215



hsa-miR-216a-5p



hsa-miR-217



hsa-miR-218-5p



hsa-miR-219-1-3p



hsa-miR-219-5p



hsa-miR-22-3p



hsa-miR-22-5p



hsa-miR-221-3p



hsa-miR-221-5p



hsa-miR-222-3p



hsa-miR-222-5p



hsa-miR-223-3p



hsa-miR-223-5p



hsa-miR-224-3p



hsa-miR-224-5p



hsa-miR-2355-3p



hsa-miR-23a-3p



hsa-miR-23b-3p



hsa-miR-23b-5p



hsa-miR-24-1-5p



hsa-miR-24-2-5p



hsa-miR-24-3p



hsa-miR-25-3p



hsa-miR-26a-2-3p



hsa-miR-26a-5p



hsa-miR-26b-3p



hsa-miR-26b-5p



hsa-miR-27a-3p



hsa-miR-27a-5p



hsa-miR-27b-3p



hsa-miR-27b-5p



hsa-miR-28-3p



hsa-miR-28-5p



hsa-miR-296-5p



hsa-miR-297



hsa-miR-298



hsa-miR-299-3p



hsa-miR-299-5p



hsa-miR-29a-3p



hsa-miR-29a-5p



hsa-miR-29b-1-5p



hsa-miR-29b-2-5p



hsa-miR-29b-3p



hsa-miR-29c-3p



hsa-miR-29c-5p



hsa-miR-301a-3p



hsa-miR-301b



hsa-miR-302a-5p



hsa-miR-302b-5p



hsa-miR-302c-5p



hsa-miR-302d-3p



hsa-miR-3065-3p



hsa-miR-3065-5p



hsa-miR-3074-3p



hsa-miR-3074-5p



hsa-miR-30a-3p



hsa-miR-30a-5p



hsa-miR-30b-3p



hsa-miR-30b-5p



hsa-miR-30c-1-3p



hsa-miR-30c-2-3p



hsa-miR-30c-5p



hsa-miR-30d-3p



hsa-miR-30d-5p



hsa-miR-30e-3p



hsa-miR-30e-5p



hsa-miR-31-3p



hsa-miR-31-5p



hsa-miR-3120-3p



hsa-miR-3120-5p



hsa-miR-3184-5p



hsa-miR-32-3p



hsa-miR-32-5p



hsa-miR-320a



hsa-miR-320b



hsa-miR-320c



hsa-miR-323a-3p



hsa-miR-324-3p



hsa-miR-324-5p



hsa-miR-325



hsa-miR-326



hsa-miR-328



hsa-miR-329



hsa-miR-330-3p



hsa-miR-330-5p



hsa-miR-331-3p



hsa-miR-331-5p



hsa-miR-335-3p



hsa-miR-335-5p



hsa-miR-337-3p



hsa-miR-337-5p



hsa-miR-338-3p



hsa-miR-338-5p



hsa-miR-339-3p



hsa-miR-339-5p



hsa-miR-33a-5p



hsa-miR-33b-5p



hsa-miR-340-3p



hsa-miR-340-5p



hsa-miR-342-3p



hsa-miR-342-5p



hsa-miR-345-5p



hsa-miR-346



hsa-miR-34a-5p



hsa-miR-34b-3p



hsa-miR-34b-5p



hsa-miR-34c-5p



hsa-miR-3545-5p



hsa-miR-3591-3p



hsa-miR-361-3p



hsa-miR-361-5p



hsa-miR-3613-5p



hsa-miR-3615



hsa-miR-362-3p



hsa-miR-362-5p



hsa-miR-363-3p



hsa-miR-363-5p



hsa-mir-365a-3p



hsa-mir-3653



hsa-miR-3656



hsa-miR-365a-3p



hsa-miR-365a-5p



hsa-miR-367-3p



hsa-mir-3676-3p



hsa-miR-369-3p



hsa-miR-369-5p



hsa-miR-370



hsa-miR-371a-3p



hsa-miR-373-3p



hsa-miR-373-5p



hsa-miR-374a-3p



hsa-miR-374a-5p



hsa-miR-374b-3p



hsa-miR-374b-5p



hsa-miR-375



hsa-mir-376a-2-5p



hsa-miR-376a-3p



hsa-miR-376a-5p



hsa-miR-376b-3p



hsa-miR-376c-3p



hsa-miR-377-3p



hsa-miR-378a-3p



hsa-miR-378a-5p



hsa-miR-378c



hsa-miR-378d



hsa-miR-379-5p



hsa-miR-380-3p



hsa-miR-381-3p



hsa-miR-382-5p



hsa-miR-383



hsa-miR-384



hsa-miR-3912



hsa-miR-3928



hsa-miR-409-3p



hsa-miR-409-5p



hsa-miR-410



hsa-miR-411-5p



hsa-miR-421



hsa-miR-422a



hsa-miR-422b



hsa-miR-423-3p



hsa-miR-423-5p



hsa-miR-424-3p



hsa-miR-424-5p



hsa-miR-425-3p



hsa-miR-425-5p



hsa-miR-429



hsa-miR-431-5p



hsa-miR-432-5p



hsa-miR-433



hsa-miR-4421



hsa-miR-449a



hsa-miR-450a-5p



hsa-miR-450b-3p



hsa-miR-450b-5p



hsa-miR-4510



hsa-miR-4516



hsa-miR-451a



hsa-miR-452-3p



hsa-miR-452-5p



hsa-miR-454-3p



hsa-miR-454-5p



hsa-miR-455-3p



hsa-miR-455-5p



hsa-miR-4634



hsa-miR-4732-5p



hsa-miR-4792



hsa-miR-483-3p



hsa-miR-483-5p



hsa-miR-484



hsa-miR-485-5p



hsa-miR-486-3p



hsa-miR-486-5p



hsa-miR-487b



hsa-miR-488-3p



hsa-miR-489



hsa-miR-491-3p



hsa-miR-491-5p



hsa-miR-492



hsa-miR-493-3p



hsa-miR-493-5p



hsa-miR-494



hsa-miR-495-3p



hsa-miR-497-5p



hsa-miR-498



hsa-miR-499a-5p



hsa-miR-500a-3p



hsa-miR-501-3p



hsa-miR-501-5p



hsa-miR-502-3p



hsa-miR-502-5p



hsa-miR-503-5p



hsa-miR-504



hsa-miR-505-3p



hsa-miR-505-5p



hsa-miR-506-3p



hsa-miR-509-3p



hsa-miR-511



hsa-miR-513a-3p



hsa-miR-513a-5p



hsa-miR-513b



hsa-miR-514a-3p



hsa-miR-515-3p



hsa-miR-516b-3p



hsa-miR-516b-5p



hsa-miR-518b



hsa-miR-518e-3p



hsa-miR-518e-5p



hsa-miR-518f-3p



hsa-miR-519a-5p



hsa-miR-519b-5p



hsa-miR-519c-3p



hsa-miR-519c-5p



hsa-miR-519d



hsa-miR-520c-3p



hsa-miR-520e



hsa-miR-520f



hsa-miR-520g



hsa-miR-520h



hsa-miR-521



hsa-miR-522-5p



hsa-miR-523-5p



hsa-miR-525-3p



hsa-miR-532-3p



hsa-miR-532-5p



hsa-miR-539-5p



hsa-miR-542-3p



hsa-miR-542-5p



hsa-miR-545-3p



hsa-miR-545-5p



hsa-miR-548d-3p



hsa-miR-548e



hsa-miR-548i



hsa-miR-548m



hsa-miR-550a-5p



hsa-miR-551b-3p



hsa-miR-552



hsa-miR-553



hsa-miR-554



hsa-miR-557



hsa-miR-563



hsa-miR-564



hsa-miR-567



hsa-miR-569



hsa-miR-570-3p



hsa-miR-572



hsa-miR-574-3p



hsa-miR-574-5p



hsa-miR-575



hsa-miR-576-3p



hsa-miR-576-5p



hsa-miR-582-3p



hsa-miR-582-5p



hsa-miR-583



hsa-miR-584-5p



hsa-miR-585



hsa-miR-586



hsa-miR-589-5p



hsa-miR-590-3p



hsa-miR-590-5p



hsa-miR-595



hsa-miR-598



hsa-miR-601



hsa-miR-602



hsa-miR-603



hsa-miR-605



hsa-miR-606



hsa-miR-609



hsa-miR-611



hsa-miR-615-3p



hsa-miR-619



hsa-miR-625-5p



hsa-miR-627



hsa-miR-628-3p



hsa-miR-628-5p



hsa-miR-629-3p



hsa-miR-629-5p



hsa-miR-630



hsa-miR-636



hsa-miR-638



hsa-miR-639



hsa-miR-641



hsa-miR-642a-3p



hsa-miR-642a-5p



hsa-miR-646



hsa-miR-649



hsa-miR-651



hsa-miR-652-3p



hsa-miR-653



hsa-miR-654-3p



hsa-miR-659-3p



hsa-miR-660-5p



hsa-miR-663a



hsa-miR-664a-3p



hsa-miR-664a-5p



hsa-miR-668



hsa-miR-671-5p



hsa-miR-675-3p



hsa-miR-675-5p



hsa-miR-7-2-3p



hsa-miR-7-5p



hsa-miR-708-3p



hsa-miR-708-5p



hsa-miR-718



hsa-miR-744-5p



hsa-miR-765



hsa-miR-769-5p



hsa-miR-770-5p



hsa-miR-874



hsa-miR-885-3p



hsa-miR-887



hsa-miR-889



hsa-miR-890



hsa-miR-891a



hsa-miR-891b



hsa-miR-9-5p



hsa-miR-92a-3p



hsa-miR-92b-3p



hsa-miR-93-3p



hsa-miR-93-5p



hsa-miR-935



hsa-miR-942



hsa-miR-95



hsa-miR-96-3p



hsa-miR-96-5p



hsa-miR-98-5p



hsa-miR-99a-3p



hsa-miR-99a-5p



hsa-miR-99b-3p



hsa-miR-99b-5p










In certain embodiments of all of the above aspects, the miRNA agent is a miRNA selected from the group consisting of the isolated miRNAs set forth in Tables 11, 13 and 14. In certain embodiments of all of the above aspects, the miRNA agent is an isolated miRNA that is 80%, 85%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, or 99% identical to the sequence of a miRNA listed in Tables 1, 11, 13 and 14. In certain embodiments of all of the above aspects, the miRNA agent is a seed sequence of a miRNA listed in Tables 11, 13 and 14.


In certain embodiments of all of the above aspects, the miRNA agent is an agomir or antagomir of a miRNA selected from the group consisting of the miRNAs set forth in Table 1. In certain embodiments of all of the above aspects, the miRNA agent is an agomir or antagomir of a miRNA selected from the group consisting of hsa-miR-1-1, hsa-miR-1-2, miR-19a-b, hsa-miR-105, hsa-miR-1283, hsa-mir-129, hsa-miR-133a-1, hsa-miR-133a-2, hsa-miR-143, hsa-mir-143-5p, hsa-mir-147, hsa-mir-149, hsa-mir-199a, hsa-mir-199b, hsa-mir-200c, hsa-mir-204, hsa-mir-205, hsa-miR-206, hsa-mir-21, hsa-mir-211, hsa-mir-218, hsa-mir-218-1, hsa-mir-218-2, hsa-mir-219-2, hsa-mir-219-2-3p, hsa-mir-22, hsa-mir-22-3p, hsa-mir-22-5p, hsa-mir-24-2, hsa-miR-30a-e, hsa-miR-3177-5p, hsa-mir-325, hsa-mir-331, hsa-mir-331-5p, hsa-miR-3613-3p, hsa-mir-362, hsa-mir-362-5p, hsa-miR-3658, hsa-mir-367, hsa-mir-371, hsa-mir-371-5p, hsa-mir-377, hsa-mir-378, hsa-mir-378a-5p, hsa-mir-382, hsa-mir-383, hsa-mir-422a, hsa-mir-425, hsa-miR-455-3p, hsa-miR-455-5p, hsa-miR-491, hsa-mir-508, hsa-mir-508-5p, hsa-mir-512-1, hsa-mir-512-2, hsa-miR-515-3p, hsa-mir-519e, hsa-miR-520a, hsa-mir-543, hsa-mir-545, hsa-mir-549, hsa-mir-556, and hsa-miR-568, hsa-mir-620, hsa-mir-643, hsa-mir-654-3p, hsa-miR-7a-g, hsa-mir-765, hsa-mir-871, hsa-mir-888, hsa-mir-888-3p, hsa-mir-92b, hsa-mir-93, hsa-mir-96, and hsa-mir-99a.


In certain embodiments of all of the above aspects, the miRNA agent is an agomir or antagomir of a miRNA selected from the group consisting of the miRNAs set forth in Table 11.


In certain embodiments of all of the above aspects, the miRNA agent is an antagomir of a miRNA selected from the group consisting of hsa-miR-19b-2-5p, hsa-miR-21-5p, hsa-miR-130b-5p, hsa-miR-211, hsa-miR-325, hsa-miR-382-3p/5p, hsa-miR-543, hsa-miR-515-3p, and hsa-miR-545.


In certain embodiments of all of the above aspects, the miRNA agent is an antagomir of a miRNA selected from the group consisting of hsa-miR-331-5p, hsa-miR-552, hsa-miR-620, and hsa-miR-1179.


In certain embodiments of all of the above aspects, the miRNA agent is linked to a targeting moiety (e.g., an aptamer). In one embodiment, the targeting moiety delivers the miRNA agent to a specific cell type or tissue.


In certain embodiments of all of the above aspects, the miRNA agent directly binds to the mRNA or promoter region of at least one mitochondrial uncoupler.


In certain embodiments of all of the above aspects, the miRNA agent directly binds to the 5′UTR or coding sequence of the mRNA of at least one mitochondrial uncoupler. In certain embodiments of all of the above aspects, the miRNA agent directly binds to the 3′UTR of the mRNA of at least one mitochondrial uncoupler.


In certain embodiments of all of the above aspects, the miRNA agent modulates the activity of an activator or repressor of a mitochondrial uncoupling protein. In one embodiment, the miRNA agent directly binds to the mRNA or promoter region of the activator or repressor. In one embodiment, the miRNA agent directly binds to the 5′UTR or coding sequence of the mRNA of the activator or repressor. In one embodiment, the miRNA agent directly binds to the 3′UTR of the mRNA of the activator or repressor. In one embodiment, the activator or repressor is selected from the group listed in Table 2.


In certain embodiments of all of the above aspects, the mRNA or protein expression of the mitochondrial uncoupling protein is upregulated.


In certain embodiments of all of the above aspects, the mitochondrial uncoupling activity of the mitochondrial uncoupling protein is upregulated.


In another aspect, the invention provides a method of screening for a miRNA agent that modulates thermogenesis, the method generally comprising: providing an indicator cell; contacting the indicator cell with a test miRNA agent; and determining the cellular activity of at least one thermogenic regulator in the indicator cell in the presence and absence of the miRNA agent, wherein a change in the activity of the thermogenic regulator in the presence of the test miRNA agent identifies the test miRNA agent as a miRNA agent that modulates thermogenesis. The indicator cell can be a mammalian cell. In certain embodiments, the indicator cell is a human cell comprising at least a portion of a human genome.


In certain embodiments, the cell is a pre-adipocyte, adipocyte, adipose tissue derived mesenchymal stem cell, hepatocyte, myocyte, or a precursor thereof.


In certain embodiments, the cellular activity of the thermogenic regulator determined in the method is the mRNA expression level, protein expression level or mitochondrial uncoupling activity of the thermogenic regulator.


In certain embodiments, the test miRNA agent increases the activity of the thermogenic regulator compared to the level of activity of the thermogenic regulator in the absence of the test miRNA agent.


In certain embodiments, the thermogenic regulator is UCP1 or UCP2.


In another aspect, the invention provides an agomir or antagomir that modulates the activity of at least one thermogenic regulator in a cell.


In certain embodiments, the agomir or antagomir is an agomir or antagomir of a miRNA selected from the group consisting of the miRNAs set forth in Tables 11, 13 and 14.


In certain embodiments, the agomir or antagomir is an agomir or antagomir of a miRNA selected from the group consisting of the miRNAs set forth in Table 1.


In certain embodiments, the agomir or antagomir is an agomir or antagomir of a miRNA selected from the group consisting of hsa-miR-1-1, hsa-miR-1-2, miR-19a-b, hsa-miR-105, hsa-miR-1283, hsa-mir-129, hsa-miR-133a-1, hsa-miR-133a-2, hsa-miR-143, hsa-mir-143-5p, hsa-mir-147, hsa-mir-149, hsa-mir-199a, hsa-mir-199b, hsa-mir-200c, hsa-mir-204, hsa-mir-205, hsa-miR-206, hsa-mir-21, hsa-mir-211, hsa-mir-218, hsa-mir-218-1, hsa-mir-218-2, hsa-mir-219-2, hsa-mir-219-2-3p, hsa-mir-22, hsa-mir-22-3p, hsa-mir-22-5p, hsa-mir-24-2, hsa-miR-30a-e, hsa-miR-3177-5p, hsa-mir-325, hsa-mir-331, hsa-mir-331-5p, hsa-miR-3613-3p, hsa-mir-362, hsa-mir-362-5p, hsa-miR-3658, hsa-mir-367, hsa-mir-371, hsa-mir-371-5p, hsa-mir-377, hsa-mir-378, hsa-mir-378a-5p, hsa-mir-382, hsa-mir-383, hsa-mir-422a, hsa-mir-425, hsa-miR-455-3p, hsa-miR-455-5p, hsa-miR-491, hsa-mir-508, hsa-mir-508-5p, hsa-mir-512-1, hsa-mir-512-2, hsa-miR-515-3p, hsa-mir-519e, hsa-miR-520a, hsa-mir-543, hsa-mir-545, hsa-mir-549, hsa-mir-556, and hsa-miR-568, hsa-mir-620, hsa-mir-643, hsa-mir-654-3p, hsa-miR-7a-g, hsa-mir-765, hsa-mir-871, hsa-mir-888, hsa-mir-888-3p, hsa-mir-92b, hsa-mir-93, hsa-mir-96, and hsa-mir-99a.


In certain embodiments, the agomir or antagomir is an antagomir of a miRNA selected from the group consisting of hsa-miR-19b-2-5p, ha-miR-21-5p, hsa-miR-130b-5p, hsa-miR-211, hsa-miR-325, hsa-miR-382-3p/5p, hsa-miR-543, hsa-miR-515-3p, and hsa-miR-545.


In certain embodiments, the agomir or antagomir is an antagomir of a miRNA selected from the group consisting of hsa-miR-331-5p, hsa-miR-552, hsa-miR-620, and hsa-miR-1179.


In certain embodiments, the agomir or antagomir is linked to a targeting moiety.


In certain embodiments, the targeting moiety is an aptamer.


In certain embodiments, the targeting moiety delivers the agomir or antagomir to a specific cell type or tissue.


In certain embodiments, the agomir or antagomir directly binds to the mRNA or promoter region of at least one mitochondrial uncoupler.


In certain embodiments, the agomir or antagomir directly binds to the 5′UTR or coding sequence of the mRNA of at least one mitochondrial uncoupler.


In certain embodiments, the agomir or antagomir directly binds to the 3′UTR of the mRNA of at least one mitochondrial uncoupler.


In certain embodiments, the agomir or antagomir modulates the activity of an activator or repressor of a mitochondrial uncoupling protein.


In certain embodiments, the activator or repressor is selected from the group listed in Table 2.


In certain embodiments, the agomir or antagomir directly binds to the mRNA or promoter region of the activator or repressor.


In certain embodiments, the agomir or antagomir directly binds to the 5′UTR or coding sequence of the mRNA of the activator or repressor. In other embodiments, the agomir or antagomir directly binds to the 3′UTR of the mRNA of the activator or repressor.


The disclosure also provides a pharmaceutical composition comprising two or more miRNAs selected from hsa-let-7a agomir, hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-1 antagomir, hsa-miR-19b agomir, hsa-miR-19b antagomir, hsa-miR-30b agomir and hsa-miR-30b antagomir. In certain embodiments the pharmaceutical composition also includes a pharmaceutically acceptable excipient. In certain embodiments, the two or more miRNAs are expressed from a recombinant vector. The recombinant vector can be selected from DNA plasmids, viral vectors and DNA minicircles.


The disclosure also provides a method of inducing pre-adipocytes to differentiate initially into white adipocytes and subsequently into brown adipocytes comprising administering to a population of pre-adipocytes one or more miRNAs selected from hsa-let-7a agomir, hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-1 antagomir, hsa-miR-19b agomir, hsa-miR-19b antagomir, hsa-miR-30b agomir and hsa-miR-30b antagomir. The one or more miRNAs can also be selected from hsa-let-7a agomir, hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-1 antagomir, hsa-miR-19b agomir, hsa-miR-19b antagomir, hsa-miR-30b agomir and hsa-miR-30b antagomir. In certain embodiments, the induction of pre-adipocytes to differentiate into adipocytes is greater than the differentiation of pre-adipocytes to adipocytes when pre-adipocytes are exposed to 100 nM rosiglitazone for two days followed by maintenance medium. In certain embodiments, the adipocytes are brown adipocytes. In other embodiments, the adipocytes are white adipocytes. Additional criteria for differentiation can be found in the Examples, below.


The disclosure also provides a method for decreasing the lipid content of adipocytes comprising administering to a population of adipocytes one or more miRNAs selected from the group consisting of hsa-let-7a agomir, hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-1 antagomir, hsa-miR-19b agomir, hsa-miR-19b antagomir, hsa-miR-30b agomir and hsa-miR-30b antagomir. In certain embodiments, the lipid content of the adipocytes is less than the lipid content of adipocytes exposed to 100 nM rosiglitazone for two days followed by maintenance medium or less than the fat content of adipocytes exposed to 100 nM rosiglitazone for the duration of culture. The duration of culture can be 8-16, 10-14 or 14 days. The duration of culture can also be 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 or 20 days. Additional criteria for lipid content of adipocytes can be found in the Examples, below.


The disclosure also provides a method for increasing insulin sensitivity in a subject in need thereof comprising administering the subject one or more miRNAs selected from the group consisting of hsa-let-7a agomir, hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-1 antagomir, hsa-miR-19b agomir, hsa-miR-19b antagomir, hsa-miR-30b agomir and hsa-miR-30b antagomir.


In certain embodiments, the subject is a mammal.


The disclosure also provides a method of increasing expression or activity of one or more uncoupling proteins in a cell comprising administering to the cell one or more, two or more, or three or more miRNAs selected from the group consisting of hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-19b agomir and hsa-miR-30b agomir. In certain embodiments, the cell is selected from the group consisting of a brown adipocyte, a white adipocyte, a subcutaneous adipocyte, a liver cell or a muscle cell. In other embodiments, the one or more uncoupling proteins include UCP1 or UCP2. In certain embodiments, the method is an ex vivo method. In other embodiments, the method is an in vivo method. In certain embodiments, the method involves selecting a subject (e.g., a human) in need of increasing the level of expression or activity of one or more uncoupling proteins (e.g., UCP1, UCP2). In some embodiments, the subject has, or is at risk of developing, obesity. In certain embodiments, the subject has, or is at risk of developing, diabetes. In certain embodiments, the method further comprises determining the expression level (mRNA or protein) or activity of the one or more uncoupling proteins.


The disclosure also provides a method of causing fat loss in a subject in need thereof comprising administering the subject one or more miRNAs selected from the group consisting of hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-19b agomir and hsa-miR-30b agomir. In certain embodiments, the subject is a mammal. In other embodiments, the mammal is a human.





BRIEF DESCRIPTION OF THE DRAWINGS


FIGS. 1A and 1B are schematic representations of the interactions of 83 thermogenic regulators determined using the STRING 9.0 database at two different levels of stringency.



FIG. 2A is a schematic representation of the interaction of 83 thermogenic regulators determined using the Ingenuity Pathway Analysis Software program.



FIG. 2B is a schematic representation of the interaction of 83 thermogenic regulators determined using the Reactome Functional Interaction Network program.



FIG. 3 is a schematic representation of the overlap of results from multiple miRNA prediction programs predicting miRNA binding sites in the 5′UTR, promoter region, coding sequence and 3′UTR of the human UCP1 gene.



FIG. 4 is a schematic representation of the overlap of results from multiple miRNA prediction programs predicting miRNA binding sites in the 5′UTR, promoter region, coding sequence and 3′UTR of the genes of 83 thermogenic regulators.



FIG. 5 is a schematic representation of oxidative phosphorylation in mitochondria, illustrating the uncoupling of oxidative phosphorylation from ATP synthesis by UCP1 to generate heat.



FIG. 6 depicts the transcriptional control of UCP1 by other exemplary thermogenic regulators.



FIG. 7 depicts exemplary positive (a) and negative (b) transcriptional regulators of UCP1 gene transcription.



FIG. 8A depicts the location of various regulatory elements in reference to the transcription start site (position 5,001) in the 15,910 base pair (bp) sequence of the human UCP1 gene (NCBI Reference Sequence: gi|237858805|ref|NG012139.1| Homo sapiens uncoupling protein 1 (mitochondrial, proton carrier) (UCP1), RefSeqGene on chromosome 4).



FIG. 8B depicts the location of various regulatory elements in reference to the transcription start site (position 5,001) in the 15,174 bp sequence of the human UCP2 gene (ENSG00000175567), including 5,000 bp 5′UTR and 2,000 bp 3′UTR on chromosome 11.



FIG. 9 is a bar graph showing relative fluorescence in pre-adipocytes either unlabeled or transfected with a Dy547-labeled non-targeting miRNA mimic or hairpin inhibitor.



FIG. 10A is a bar graph showing the reduction of GAPDH gene expression in pre-adipocytes transfected with siRNA control and a GAPDH siRNA 4 days after transfection.



FIG. 10B is a bar graph showing the reduction of GAPDH gene expression in pre-adipocytes transfected with siRNA control and a GAPDH siRNA 12 days after transfection.



FIG. 11A is a light micrograph of pre-adipocytes stained with Oil Red O cultured for 2 weeks in maintenance medium alone.



FIG. 11B is a light micrograph of pre-adipocytes stained with Oil Red O cultured in the presence of insulin, tri-iodothyronine, dexamethasone, isobutyl-methylxanthine and rosiglitazone for two days followed by maintenance medium for 12 days.



FIG. 11C is a light micrograph of pre-adipocytes stained with Oil Red O cultured in the presence of insulin, tri-iodothyronine, dexamethasone, isobutyl-methylxanthine and rosiglitazone throughout the experiment.



FIG. 11D is a light micrograph of pre-adipocytes stained with Oil Red O cultured in the presence of hsa-miR-30b mimic.



FIG. 11E is a light micrograph of pre-adipocytes stained with Oil Red O cultured in the presence of a non-targeting miRNA mimic.



FIG. 11F is a light micrograph of pre-adipocytes stained with Oil Red O cultured in the presence of a non-targeting miRNA inhibitor.



FIG. 12A is a bar graph showing mRNA expression of thermogenesis targets in the presence of rosiglitazone.



FIG. 12B is a bar graph showing mRNA expression of thermogenesis targets in the presence of hsa-let-7a inhibitor.



FIG. 12C is a bar graph showing mRNA expression of thermogenesis targets in the presence of hsa-miR-1 mimic.



FIG. 12D is a bar graph showing mRNA expression of thermogenesis targets in the presence of hsa-miR-19b mimic.



FIG. 12E is a bar graph showing mRNA expression of thermogenesis targets in the presence of and hsa-miR-30b mimic.



FIG. 12F is a bar graph showing mRNA expression of thermogenesis targets in untreated pre-adipocytes.



FIG. 13 is an M-A plot showing the mean gene expression on the x-axis and the difference between pairs in logarithmic scale on the y-axis.



FIG. 14 is a schematic showing a Venn Diagram showing that the numbers of genes significantly upregulated in the presence of the miRNA analogs hsa-let-7a inhibitor, hsa-miR-1 mimic, hsa-miR-19b mimic and hsa-miR-30b mimic were respectively 305, 247, 255 and 267. A set of 127 genes was commonly upregulated by the listed miRNA analogs.



FIG. 15 is a schematic showing a Venn diagram showing that the numbers of genes significantly downregulated in the presence of the miRNA analogs hsa-let-7a inhibitor, hsa-miR-1 mimic, hsa-miR-19b mimic and hsa-miR-30b mimic were respectively 143, 177, 115 and 165. A set of 60 genes was commonly downregulated by the listed miRNA analogs.



FIG. 16 is a bar graph showing relative fluorescence in adipocytes either unlabeled or transfected with a Dy547 labeled non-targeting miRIDIAN mimic or hairpin inhibitor.



FIG. 17A is a bar graph showing the reduction of GAPDH gene expression in cells transfected with siRNA control and a GAPDH siRNA 4 days after transfection.



FIG. 17B is a bar graph showing the reduction of GAPDH gene expression in cells transfected with siRNA control and a GAPDH siRNA 12 days after transfection.



FIG. 18A is a light micrograph of mature adipocytes stained with Oil Red O cultured for 2 weeks in maintenance medium alone.



FIG. 18B is a light micrograph of mature adipocytes stained with Oil Red O cultured in the presence of rosiglitazone for two weeks.



FIG. 18C is a light micrograph of mature adipocytes stained with Oil Red O cultured in the presence of a non-targeting miRNA.



FIG. 18D is a light micrograph of mature adipocytes stained with Oil Red O cultured in the presence of hsa-miR-30b mimic.



FIG. 19 is a bar graph showing the amount of lipids (Nile Red fluorescent dye) in mature adipocytes exposed to various miRNA analogs or rosiglitazone.



FIG. 20 is a bar graph showing the amounts of total RNA extracted from mature adipocytes exposed to various transfecting agents.



FIG. 21 is a bar graph showing reduction of GAPDH gene expression in mature adipocytes transfected with a GAPDH-specific miRNA mimic using various transfecting agents.



FIG. 22 represents bright field micrographs of mature adipocytes cultured for 2 weeks in maintenance medium alone (control), 50 nM hsa-let-7a inhibitor, 10 μM beta adrenergic receptor agonist CL316,243, 50 nM hsa-miR-1 mimic, 10 nM thyroid hormone tri-iodothyronine, 50 nM hsa-miR-19b mimic, 100 nM Rosiglitazone or 50 nM hsa-miR-30b mimic.



FIG. 23 is a schematic representation of the Cell-SELEX process use to isolate aptamers specifically directed against unique targets at the surface of human cells.



FIG. 24 depicts the results of a FACS experiment assessing binding of selected fluorescent aptamers to human hepatocytes and adipocytes.





DETAILED DESCRIPTION OF THE INVENTION
I. Definitions

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. In case of conflict, the present application, including definitions, will control.


As used herein, the term “miRNA agent” refers to an oligonucleotide or oligonucleotide mimetic that directly or indirectly modulates the activity of a thermogenic regulator (e.g., a mitochondrial uncoupler or an activator or repressor thereof). miRNA agents can act on a target gene or on a target miRNA.


As used herein, the term “miRNA” refers to a single-stranded RNA molecule (or a synthetic derivative thereof), which is capable of binding to a target gene (either the mRNA or the DNA) and regulating expression of that gene. In certain embodiments, the miRNA is naturally expressed in an organism.


As used herein, the term “seed sequence” refers to a 6-8 nucleotide (nt) long substring within the first 8 nt at the 5′-end of the miRNA (i.e., seed sequence) that is an important determinant of target specificity.


As used herein, the term “agomir” refers to a synthetic oligonucleotide or oligonucleotide mimetic that functionally mimics a miRNA. An agomir can be an oligonucleotide with the same or similar nucleic acid sequence to a miRNA or a portion of a miRNA. In certain embodiments, the agomir has 1, 2, 3, 4, 5, 6, 7, 8, 9 or 10 nucleotide differences from the miRNA that it mimics. Further, agomirs can have the same length, a longer length or a shorter length than the miRNA that it mimics. In certain embodiments, the agomir has the same sequence as 6-8 nucleotides at the 5′ end of the miRNA it mimics. In other embodiments, an agomir can be 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49 or 50 nucleotides in length. In other embodiments, an agomir can be 5-10, 6-8, 10-20, 10-15 or 5-500 nucleotides in length. In certain embodiments, agomirs include any of the sequences shown in Tables 1, 11, 13 and 14. These chemically modified synthetic RNA duplexes include a guide strand that is identical or substantially identical to the miRNA of interest to allow efficient loading into the miRISC complex, whereas the passenger strand is chemically modified to prevent its loading to the Argonaute protein in the miRISC complex (Thorsen S B et al., Cancer J., 18(3):275-284 (2012); Broderick J A et al., Gene Ther., 18(12):1104-1110 (2011)).


As used herein, the term “antagomir” refers to a synthetic oligonucleotide or oligonucleotide mimetic having complementarity to a specific microRNA, and which inhibits the activity of that miRNA. In certain embodiments, the antagomir has 1, 2, 3, 4, 5, 6, 7, 8, 9 or 10 nucleotide differences from the miRNA that it inhibits. Further, antagomirs can have the same length, a longer length or a shorter length than the miRNA that it inhibits. In certain embodiments, the antagomir hybridizes to 6-8 nucleotides at the 5′ end of the miRNA it inhibits. In other embodiments, an antagomir can be 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49 or 50 nucleotides in length. In other embodiments, an antagomir can be 5-10, 6-8, 10-20, 10-15 or 5-500 nucleotides in length. In certain embodiments, antagomirs include nucleotides that are complementary to any of the sequences shown in Tables 1, 11, 13 and 14. The antagomirs are synthetic reverse complements that tightly bind to and inactivate a specific miRNA. Various chemical modifications are used to improve nuclease resistance and binding affinity. The most commonly used modifications to increase potency include various 2′ sugar modifications, such as 2′-O-Me, 2′-O-methoxyethyl (2′-MOE), or 2′-fluoro (2′-F). The nucleic acid structure of the miRNA can also be modified into a locked nucleic acid (LNA) with a methylene bridge between the 2′ oxygen and the 4′ carbon to lock the ribose in the 3′-endo (North) conformation in the A-type conformation of nucleic acids (Lennox K A et al. Gene Ther. December 2011; 18(12):1111-1120; Bader A G et al. Gene Ther. December 2011; 18(12):1121-1126). This modification significantly increases both target specificity and hybridization properties of the molecules.


As used herein, the term “aptamir” refers to the combination of an aptamer (oligonucleic acid or peptide molecule that bind to a specific target molecule) and an agomir or antagomir as defined above, which allows cell or tissue-specific delivery of the miRNA agents.


As used herein, the term “interfering RNA” refers to any double stranded or single stranded RNA sequence capable of inhibiting or down-regulating gene expression by mediating RNA interference. Interfering RNAs include, but are not limited to, small interfering RNA (“siRNA”) and small hairpin RNA (“shRNA”). “RNA interference” refers to the selective degradation of a sequence-compatible messenger RNA transcript.


As used herein, the term “small interfering RNA” or “siRNA” refers to any small RNA molecule capable of inhibiting or down regulating gene expression by mediating RNA interference in a sequence specific manner. The small RNA can be, for example, about 16 to 21 nucleotides long.


As used herein, the term “shRNA” (small hairpin RNA) refers to an RNA molecule comprising an antisense region, a loop portion and a sense region, wherein the sense region has complementary nucleotides that base pair with the antisense region to form a duplex stem. Following post-transcriptional processing, the small hairpin RNA is converted into a small interfering RNA (siRNA) by a cleavage event mediated by the enzyme Dicer, which is a member of the RNase III family.


As used herein, the term “antisense oligonucleotide” refers to a synthetic oligonucleotide or oligonucleotide mimetic that is complementary to a DNA or mRNA sequence (e.g., a miRNA).


As used herein, the term “miR-mask” refers to a single stranded antisense oligonucleotide that is complementary to a miRNA binding site in a target mRNA, and that serves to inhibit the binding of miRNA to the mRNA binding site. See, e.g., Xiao, et al. “Novel approaches for gene-specific interference via manipulating actions of microRNAs: examination on the pacemaker channel genes HCN2 and HCN4,” Journal of Cellular Physiology, vol. 212, no. 2, pp. 285-292, 2007, which is incorporated herein in its entirety.


As used herein, the term “miRNA sponge” refers to a synthetic nucleic acid (e.g. a mRNA transcript) that contains multiple tandem-binding sites for a miRNA of interest, and that serves to titrate out the endogenous miRNA of interest, thus inhibiting the binding of the miRNA of interest to its endogenous targets. See, e.g., Ebert et al., “MicroRNA sponges: competitive inhibitors of small RNAs in mammalian cells,” Nature Methods, vol. 4, no. 9, pp. 721-726, 2007, which is incorporated herein in its entirety.


As used herein, the term “respiratory chain uncoupling” refers to the dissipation of the mitochondrial inner membrane proton gradient, thereby preventing the synthesis of ATP in the mitochondrion by oxidative phosphorylation.


As used herein, the term “mitochondrial uncoupler” refers to a protein (or the encoding nucleic acid) that can dissipate of the mitochondrial inner membrane proton gradient, thereby preventing the synthesis of ATP in the mitochondrion by oxidative phosphorylation. Exemplary mitochondrial uncouplers include UCP1 and UCP2.


As used herein, the terms “activator” or “repressor” of a mitochondrial uncoupler refers to a protein that serves to upregulate or downregulate, respectively, an activity of a mitochondrial uncoupler.


As used herein, the term “thermogenic regulator” refers to a protein (or the encoding nucleic acid) that regulates thermogenesis either directly or indirectly. The term encompasses mitochondrial uncouplers, and also activators and repressors of mitochondrial uncouplers. Exemplary thermogenic regulators are set forth in Table 2 herein.


As used herein, the term “modulate” refers to increasing or decreasing a parameter. For example, to modulate the activity of a protein that protein's activity could be increased or decreased.


As used herein, the term “activity” of mitochondrial uncoupler or thermogenic regulator refers to any measurable biological activity including, without limitation, mRNA expression, protein expression, or respiratory chain uncoupling.


The “effective amount” of the miRNA agent composition is an amount sufficient to be effective in treating or preventing a disorder or to regulate a physiological condition in humans. In certain embodiments, this physiological condition is obesity.


A “subject” is a vertebrate, including any member of the class Mammalia, including humans, domestic and farm animals, zoo, sports or pet animals, such as mouse, rabbit, pig, sheep, goat, cattle and higher primates.


The term “mammal” refers to any species that is a member of the class Mammalia, including rodents, primates, dogs, cats, camelids and ungulates. The term “rodent” refers to any species that is a member of the order rodentia including mice, rats, hamsters, gerbils and rabbits. The term “primate” refers to any species that is a member of the order primates, including monkeys, apes and humans. The term “camelids” refers to any species that is a member of the family camelidae including camels and llamas. The term “ungulates” refers to any species that is a member of the superorder ungulata including cattle, horses and camelids. According to some embodiments, the mammal is a human.


“Treatment”, or “treating” as used herein, is defined as the application or administration of a therapeutic agent (e.g., a miRNA agent or vector or transgene encoding same) to a patient, or application or administration of a therapeutic agent to an isolated tissue or cell line from a patient, who has the disease or disorder, a symptom of disease or disorder or a predisposition toward a disease or disorder, with the purpose to cure, heal, alleviate, relieve, alter, remedy, ameliorate, improve or affect the disease or disorder, the symptoms of the disease or disorder, or the predisposition toward disease.


“Pharmacogenomics”, as used herein, refers to the application of genomics technologies such as gene sequencing, statistical genetics, and gene expression analysis to drugs in clinical development and on the market. More specifically, the term refers to the study of how a patient's genes determine his or her response to a drug (e.g., a patient's “drug response phenotype”, or “drug response genotype”).


The “effective amount” of the miRNA agent composition is an amount sufficient to be effective in treating or preventing a disorder or to regulate a physiological condition in humans.


II. Thermogenesis and Obesity

In certain embodiments, the invention provides methods for modulating thermogenesis. These methods generally involve contacting cells or tissue with a miRNA agent that modulates activity of at least one mitochondrial uncoupler (e.g., UCP1 and/or UCP2). Such methods and compositions are particularly useful for treating obesity.


Mammalian adipocytes can be categorized into two major categories based on their functional profiles: 1) energy-storing and releasing, lipid-filled white adipocytes (WAT) and; 2) energy-expending and heat producing, mitochondria-rich brown adipocytes (BAT). Until recently, it was believed that BAT underwent rapid involution in early childhood, leaving only vestigial amounts in adults. However, positron-emission tomography (PET) studies performed in humans with the tracer 18F-fluorodeoxyglucose (18F-FDG) demonstrated that: 1) multiple depots of BAT are still present in the cervical, supraclavicular, axillary and paravertebral regions in adult subjects; 2) BAT in adult humans can be rapidly activated by exposure to cold temperatures; 3) there is an inverse correlation between the activity of BAT and age, body-mass index (BMI), the percentage of body fat, fasting plasma glucose level, beta-blocker use and outdoor temperature; and 4) BAT expansion may drive the weight loss associated with catecholamine-producing phaeochromocytomas, whereas beta3-adrenoreceptor polymorphisms leading to a reduction in receptor function have been linked to weight gain and early onset type 2 diabetes mellitus.


Although WAT and BAT are derived from mesenchymal stem cells, they have distinct lineages, with Myf5 (Myogenic Regulatory Factor 5) (shared with skeletal myocyte progenitors), PGC-1alpha and PRDM16 (PR-domain-containing 16) expression distinguishing the brown from white adipocyte precursors. In addition to the classic brown adipocytes, a different type of brown fat cells can be induced in tissues where WAT predominates. The termed “brite” (brown-in-white) adipocyte has been coined and the appearance of brown-like adipocytes within WAT depots is associated with improved metabolic phenotypes. Increasing BAT mass and/or activity offers a degree of protection from obesity. Heat production by BAT is 300 W/g compared to 1 W/g in all other tissues. Relatively limited amounts of BAT would be required to make significant impact on energy balance, since as little as 50 g of BAT would account for 20% of daily energy expenditure. It has been speculated that the estimated 63 g of BAT found in the supraclavicular/paracervical depot of one subject could combust the energy equivalent of 4.1 kg of WAT over 1 year.


Mitochondrial uncoupling proteins (UCP) are members of the family of mitochondrial anion carrier proteins (MACP). UCPs separate oxidative phosphorylation from ATP synthesis with energy dissipated as heat (also referred to as the “mitochondrial proton leak”). UCPs facilitate the transfer of anions from the inner to the outer mitochondrial membrane and the return transfer of protons from the outer to the inner mitochondrial membrane generating heat in the process. UCPs are the primary proteins responsible for thermogenesis and heat dissipation. Uncoupling Protein 1 (UCP1), also named thermogenin, is a BAT specific protein responsible for thermogenesis and heat dissipation. UCP2 is another Uncoupling Protein also expressed in adipocytes. UCPs are part of network of thermogenic regulator proteins (see FIG. 1). Exemplary thermogenic regulators are set forth in Table 2.


Modulation of thermogenic regulators to induce BAT differentiation and/or mitochondrial uncoupling proteins provides a method to induce thermogenesis in a subject and, hence, to treat obesity. However, chemical pharmacologic approaches cannot target these molecules, as they do not belong to the classic ‘target classes’ (kinases, ion channels, G-protein coupled receptors, etc.) that dominate the ‘druggable space’ of traditional drug discovery. Accordingly, the invention provides novel methods and compositions for modulating these thermogenic regulators using miRNA agents.


In certain embodiments, miRNA agents are employed to upregulate the activity of a mitochondrial uncoupler (e.g., the mRNA expression level, protein expression level, or mitochondrial uncoupling activity). Upregulation of a mitochondrial uncoupler can be achieved in several ways. In one embodiment, the miRNA agent directly inhibits the activity of a naturally occurring miRNA that is responsible for downregulation of the activity (e.g., the mRNA expression level, protein expression level) of the mitochondrial uncoupler. In another embodiment, the miRNA agent upregulates the activity (e.g., the mRNA expression level or the protein expression level) of an activator of the mitochondrial uncoupler. This upregulation can be achieved, for example, by directly inhibiting the activity of a naturally occurring miRNA that is responsible for downregulation of the expression of the activator. In yet another embodiment, the miRNA agent downregulates the activity (e.g., the mRNA expression level or the protein expression level) of a repressor of the mitochondrial uncoupler. This downregulation can be achieved, for example, by directly inhibiting the expression of a repressor of a mitochondrial uncoupler using a miRNA agent.


In certain embodiments, miRNA agents are employed that are capable of modulating the activity of multiple thermogenic regulators simultaneously (Pathway-specific miRNA agents as opposed to universal miRNA agents). For example, a single miRNA, agomir or antagomir that binds to multiple thermogenic regulators can be used. This approach is particularly advantageous in that it allows for the modulation of multiple members of an entire signaling pathway using a single miRNA agent.


In certain embodiments, multiple inhibitory miRNA agents (e.g., antagomirs or miR-masks) are employed. These inhibitory miRNA agents can have the same or different miRNA targets.


III. miRNA Agents

In certain embodiments, the invention employs miRNA agents for the modulation of thermogenic regulators (e.g., mitochondrial uncouplers, such as UCP1 and/or UCP2). miRNA agents, suitable for use in the methods disclosed herein, included, without limitation, miRNA, agomirs, antagomirs, miR-masks, miRNA-sponges, siRNA (single- or double-stranded), shRNA, antisense oligonucleotides, ribozymes, or other oligonucleotide mimetics which hybridize to at least a portion of a target nucleic acid and modulate its function.


In certain embodiments, the miRNA agents are miRNA molecules or synthetic derivatives thereof (e.g., agomirs). In one particular embodiment, the miRNA agent is a miRNA. miRNAs are a class of small (e.g., 18-24 nucleotides) non-coding RNAs that exist in a variety of organisms, including mammals, and are conserved in evolution. miRNAs are processed from hairpin precursors of about 70 nucleotides which are derived from primary transcripts through sequential cleavage by the RNAse III enzymes drosha and dicer. Many miRNAs can be encoded in intergenic regions, hosted within introns of pre-mRNAs or within ncRNA genes. Many miRNAs also tend to be clustered and transcribed as polycistrons and often have similar spatial temporal expression patterns. In general, miRNAs are post-transcriptional regulators that bind to complementary sequences on a target gene (mRNA or DNA), resulting in gene silencing by, e.g., translational repression or target degradation. One miRNA can target many different genes simultaneously. Exemplary miRNA molecules for use in the disclosed methods include without limitation: hsa-miR-1-1, hsa-miR-1-2, hsa-miR-7a-g, hsa-miR-105, hsa-miR-1283, hsa-mir-129, hsa-miR-133a-1, hsa-miR-133a-2, hsa-miR-143, hsa-mir-143-5p, hsa-mir-147, hsa-mir-149, hsa-miR-19a-b, hsa-mir-199a, hsa-mir-199b, hsa-mir-200c, hsa-mir-204, hsa-mir-205, hsa-miR-206, hsa-mir-21, hsa-mir-211, hsa-mir-218, hsa-mir-218-1, hsa-mir-218-2, hsa-mir-219-2, hsa-mir-219-2-3p, hsa-mir-22, hsa-mir-22-3p, hsa-mir-22-5p, hsa-mir-24-2, hsa-miR-30a-e, hsa-miR-3177-5p, hsa-mir-325, hsa-mir-331, hsa-mir-331-5p, hsa-miR-3613-3p, hsa-mir-362, hsa-mir-362-5p, hsa-mir-367, hsa-mir-371, hsa-mir-371-5p, hsa-mir-377, hsa-mir-378, hsa-mir-378a-5p, hsa-mir-382, hsa-mir-383, hsa-miR-3658, hsa-mir-422a, hsa-mir-425, hsa-miR-455-3p, hsa-miR-455-5p, hsa-miR-491, hsa-mir-508, hsa-mir-508-5p, hsa-mir-512-1, hsa-mir-512-2, hsa-miR-515-3p, hsa-mir-519e, hsa-miR-520a, hsa-mir-543, hsa-mir-545, hsa-mir-549, hsa-mir-556, hsa-miR-568, hsa-mir-620, hsa-mir-643, hsa-mir-654-3p, hsa-mir-765, hsa-mir-871, hsa-mir-888, hsa-mir-888-3p, hsa-mir-92b, hsa-mir-93, hsa-mir-96, hsa-mir-99a. In other embodiments, exemplary miRNA molecules for use in the disclosed methods miRNA disclosed in Tables 1, 11, 13 and 14, herein. In one particular embodiment, the miRNA agent is human miR-22, or a functional derivative thereof.


In another particular embodiment, the miRNA agent is an agomir. Agomirs of a particular miRNA can be identified using the screening methods disclosed herein. In one particular embodiment, the agomir is a functional mimetic of human miR-22 (Davidson B L et al., Nat. Rev. Genet., 12(5):329-340 (2011).


In certain embodiments, the miRNA agents are oligonucleotide or oligonucleotide mimetics that inhibit the activity of one or more miRNA. Examples of such molecules include, without limitation, antagomirs, interfering RNA, antisense oligonucleotides, ribozymes, miRNA sponges and miR-masks. In one particular embodiment, the miRNA agent is an antagomir. In general, antagomirs are chemically modified antisense oligonucleotides that bind to a target miRNA and inhibit miRNA function by preventing binding of the miRNA to its cognate gene target. Antagomirs can include any base modification known in the art. In one particular embodiment, the antagomir inhibits the activity of human miR-22 (van Rooij E et al., Circ. Res., 110(3):496-507 (2012); Snead N M et al., Nucleic Acid Ther., 22(3):139-146 (2012); Czech M P et al., Nat. Rev. Endocrinol., 7(8):473-484 (2011).


In certain embodiments, the miRNA agents are 10 to 50 nucleotides in length. One having ordinary skill in the art will appreciate that this embodies oligonucleotides having antisense portions of 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, or 50 nucleotides in length, or any range therewithin.


In certain embodiments, the miRNA agents are chimeric oligonucleotides that contain two or more chemically distinct regions, each made up of at least one nucleotide. These oligonucleotides typically contain at least one region of modified nucleotides that confers one or more beneficial properties (such as, for example, increased nuclease resistance, increased uptake into cells, increased binding affinity for the target) and a region that is a substrate for enzymes capable of cleaving RNA:DNA or RNA:RNA hybrids. Chimeric inhibitory nucleic acids of the invention may be formed as composite structures of two or more oligonucleotides, modified oligonucleotides, oligonucleosides and/or oligonucleotide mimetics as described above. Such compounds have also been referred to in the art as hybrids or gapmers. Representative United States patents that teach the preparation of such hybrid structures comprise, but are not limited to, U.S. Pat. Nos. 5,013,830; 5,149,797; 5,220,007; 5,256,775; 5,366,878; 5,403,711; 5,491,133; 5,565,350; 5,623,065; 5,652,355; 5,652,356; and 5,700,922, each of which is herein incorporated by reference in its entirety.


In certain embodiments, the miRNA agents comprise at least one nucleotide modified at the 2′ position of the sugar, most preferably a 2′-O-alkyl, 2′-O-alkyl-O-alkyl or 2′-fluoro-modified nucleotide. In other preferred embodiments, RNA modifications include 2′-fluoro, 2′-amino and 2′ O-methyl modifications on the ribose of pyrimidines, a basic residue or an inverted base at the 3′ end of the RNA. Such modifications are routinely incorporated into oligonucleotides and these oligonucleotides have been shown to have a higher Tm (i.e., higher target binding affinity) than 2′-deoxyoligonucleotides against a given target.


A number of nucleotide and nucleoside modifications have been shown to make an oligonucleotide more resistant to nuclease digestion, thereby prolonging in vivo half-life. Specific examples of modified oligonucleotides include those comprising backbones comprising, for example, phosphorothioates, phosphotriesters, methyl phosphonates, short chain alkyl or cycloalkyl intersugar linkages or short chain heteroatomic or heterocyclic intersugar linkages. Most preferred are oligonucleotides with phosphorothioate backbones and those with heteroatom backbones, particularly CH2—NH—O—CH2, CH2˜N(CH3)˜O˜CH2 (known as a methylene(methylimino) or MMI backbone], CH2—O—N(CH3)—CH2, CH2—N(CH3)—N(CH3)—CH2 and O—N(CH3)—CH2—CH2 backbones, wherein the native phosphodiester backbone is represented as O—P—O—CH,); amide backbones (see De Mesmaeker et al. Ace. Chem. Res. 1995, 28:366-374); morpholino backbone structures (see Summerton and Weller, U.S. Pat. No. 5,034,506); peptide nucleic acid (PNA) backbone (wherein the phosphodiester backbone of the oligonucleotide is replaced with a polyamide backbone, the nucleotides being bound directly or indirectly to the aza nitrogen atoms of the polyamide backbone, see Nielsen et al., Science 1991, 254, 1497), each of which is herein incorporated by reference in its entirety. Phosphorus-containing linkages include, but are not limited to, phosphorothioates, chiral phosphorothioates, phosphorodithioates, phosphotriesters, aminoalkylphosphotriesters, methyl and other alkyl phosphonates comprising 3′ alkylene phosphonates and chiral phosphonates, phosphinates, phosphoramidates comprising 3′-amino phosphoramidate and aminoalkylphosphoramidates, thionophosphoramidates, thionoalkylphosphonates, thionoalkylphosphotriesters, and boranophosphates having normal 3′-5′ linkages, 2′-5′ linked analogs of these, and those having inverted polarity wherein the adjacent pairs of nucleoside units are linked 3′-5′ to 5′-3′ or 2′-5′ to 5′-2; see U.S. Pat. Nos. 3,687,808; 4,469,863; 4,476,301; 5,023,243; 5,177,196; 5,188,897; 5,264,423; 5,276,019; 5,278,302; 5,286,717; 5,321, 131; 5,399,676; 5,405,939; 5,453,496; 5,455, 233; 5,466,677; 5,476,925; 5,519,126; 5,536,821; 5,541,306; 5,550,111; 5,563, 253; 5,571,799; 5,587,361; and 5,625,050, each of which is herein incorporated by reference in its entirety. Morpholino-based oligomeric compounds are described in Dwaine A. Braasch and David R. Corey, Biochemistry, 2002, 41(14), 4503-4510); Genesis, volume 30, issue 3, 2001; Heasman, J., Dev. Biol., 2002, 243, 209-214; Nasevicius et al., Nat. Genet., 2000, 26, 216-220; Lacerra et al., Proc. Natl. Acad. Sci., 2000, 97, 9591-9596; and U.S. Pat. No. 5,034,506, issued Jul. 23, 1991, each of which is herein incorporated by reference in its entirety. Cyclohexenyl nucleic acid oligonucleotide mimetics are described in Wang et al., J. Am. Chem. Soc., 2000, 122, 8595-8602, the contents of which is incorporated herein in its entirety.


Modified oligonucleotide backbones that do not include a phosphorus atom therein have backbones that are formed by short chain alkyl or cycloalkyl internucleoside linkages, mixed heteroatom and alkyl or cycloalkyl internucleoside linkages, or one or more short chain heteroatomic or heterocyclic internucleoside linkages. These comprise those having morpholino linkages (formed in part from the sugar portion of a nucleoside); siloxane backbones; sulfide, sulfoxide and sulfone backbones; formacetyl and thioformacetyl backbones; methylene formacetyl and thioformacetyl backbones; alkene containing backbones; sulfamate backbones; methyleneimino and methylenehydrazino backbones; sulfonate and sulfonamide backbones; amide backbones; and others having mixed N, O, S and CH2 component parts; see U.S. Pat. Nos. 5,034,506; 5,166,315; 5,185,444; 5,214,134; 5,216,141; 5,235,033; 5,264,562; 5,264,564; 5,405,938; 5,434,257; 5,466,677; 5,470,967; 5,489,677; 5,541,307; 5,561,225; 5,596,086; 5,602,240; 5,610,289; 5,602,240; 5,608,046; 5,610,289; 5,618,704; 5,623,070; 5,663,312; 5,633,360; 5,677,437; and 5,677,439, each of which is herein incorporated by reference in its entirety.


In certain embodiments, miRNA agents comprise one or more substituted sugar moieties, e.g., one of the following at the 2′ position: OH, SH, SCH3, F, OCN, OCH3 OCH3, OCH3 O(CH2)n CH3, O(CH2)n NH2 or O(CH2)n CH3 where n is from 1 to about 10; Ci to CIO lower alkyl, alkoxyalkoxy, substituted lower alkyl, alkaryl or aralkyl; CI; Br; CN; CF3; OCF3; O-, S-, or N-alkyl; O-, S-, or N-alkenyl; SOCH3; SO2 CH3; ONO2; NO2; N3; NH2; heterocycloalkyl; heterocycloalkaryl; aminoalkylamino; polyalkylamino; substituted silyl; an RNA cleaving group; a reporter group; an intercalator; a group for improving the pharmacokinetic properties of an oligonucleotide; or a group for improving the pharmacokinetic/pharmacodynamic properties of an oligonucleotide and other substituents having similar properties. A preferred modification includes 2′-methoxyethoxy [2′-O—CH2CH2OCH3, also known as 2′-O-(2-methoxyethyl)] (Martin et al., Helv. Chim. Acta, 1995, 78, 486). Other preferred modifications include 2′-methoxy (2′-O—CH3), 2′-propoxy (2′-OCH2 CH2CH3) and 2′-fluoro (2′-F). Similar modifications may also be made at other positions on the oligonucleotide, particularly the 3′ position of the sugar on the 3′ terminal nucleotide and the 5′ position of 5′ terminal nucleotide. Oligonucleotides may also have sugar mimetics such as cyclobutyls in place of the pentofuranosyl group.


In certain embodiments, miRNA agents comprise one or more base modifications and/or substitutions. As used herein, “unmodified” or “natural” bases include adenine (A), guanine (G), thymine (T), cytosine (C) and uracil (U). Modified bases include, without limitation, bases found only infrequently or transiently in natural nucleic acids, e.g., hypoxanthine, 6-methyladenine, 5-Me pyrimidines, particularly 5-methylcytosine (also referred to as 5-methyl-2′ deoxycytosine and often referred to in the art as 5-Me-C), 5-hydroxymethylcytosine (HMC), glycosyl HMC and gentobiosyl HMC, as well as synthetic bases, e.g., 2-aminoadenine, 2-(methylamino)adenine, 2-(imidazolylalkyl)adenine, 2-(aminoalklyamino)adenine or other heterosubstituted alkyladenines, 2-thiouracil, 2-thiothymine, 5-bromouracil, 5-hydroxymethyluracil, 8-azaguanine, 7-deazaguanine, N6 (6-aminohexyl)adenine and 2,6-diaminopurine. Kornberg, A., DNA Replication, W. H. Freeman & Co., San Francisco, 1980, pp 75-77; Gebeyehu, G., et al. Nucl. Acids Res. 1987, 15:4513). A “universal” base known in the art, e.g., inosine, can also be included. 5-Me-C substitutions can also be included. These have been shown to increase nucleic acid duplex stability by 0.6-1.2OC. (Sanghvi, Y. S., in Crooke, S. T. and Lebleu, B., eds., Antisense Research and Applications, CRC Press, Boca Raton, 1993, pp. 276-278). Further suitable modified bases are described in U.S. Pat. No. 3,687,808, as well as U.S. Pat. Nos. 4,845,205; 5,130,302; 5,134,066; 5,175,273; 5,367,066; 5,432,272; 5,457,187; 5,459,255; 5,484,908; 5,502,177; 5,525,711; 5,552,540; 5,587,469; 5,596,091; 5,614,617; 5,750,692, and 5,681,941, each of which is herein incorporated by reference.


It is not necessary for all positions in a given oligonucleotide to be uniformly modified, and in fact more than one of the aforementioned modifications may be incorporated in a single oligonucleotide or even at a single nucleoside within an oligonucleotide.


In certain embodiments, both a sugar and an internucleoside linkage, i.e., the backbone, of the nucleotide units are replaced with novel groups. The base units are maintained for hybridization with an appropriate nucleic acid target compound. One such oligomeric compound, an oligonucleotide mimetic that has been shown to have excellent hybridization properties, is referred to as a peptide nucleic acid (PNA). In PNA compounds, the sugar-backbone of an oligonucleotide is replaced with an amide containing backbone, for example, an aminoethylglycine backbone. The nucleobases are retained and are bound directly or indirectly to aza nitrogen atoms of the amide portion of the backbone. Representative United States patents that teach the preparation of PNA compounds comprise, but are not limited to, U.S. Pat. Nos. 5,539,082; 5,714,331; and 5,719,262, each of which is herein incorporated by reference. Further teaching of PNA compounds can be found in Nielsen et al., Science, 1991, 254, 1497-1500.


In certain embodiments, the miRNA agent is linked (covalently or non-covalently) to one or more moieties or conjugates that enhance the activity, cellular distribution, or cellular uptake of the oligonucleotide. Such moieties include, without limitation, lipid moieties such as a cholesterol moiety (Letsinger et al., Proc. Natl. Acad. Sci. USA, 1989, 86, 6553-6556), cholic acid (Manoharan et al., Bioorg. Med. Chem. Let., 1994, 4, 1053-1060), a thioether, e.g., hexyl-S-tritylthiol (Manoharan et al., Ann. N. Y. Acad. Sci., 1992, 660, 306-309; Manoharan et al., Bioorg. Med. Chem. Let., 1993, 3, 2765-2770), a thiocholesterol (Oberhauser et al., Nucl. Acids Res., 1992, 20, 533-538), an aliphatic chain, e.g., dodecandiol or undecyl residues (Kabanov et al., FEBS Lett., 1990, 259, 327-330; Svinarchuk et al., Biochimie, 1993, 75, 49-54), a phospholipid, e.g., di-hexadecyl-rac-glycerol or triethylammonium 1,2-di-O-hexadecyl-rac-glycero-3-H-phosphonate (Manoharan et al., Tetrahedron Lett., 1995, 36, 3651-3654; Shea et al., Nucl. Acids Res., 1990, 18, 3777-3783), a polyamine or a polyethylene glycol chain (Mancharan et al., Nucleosides & Nucleotides, 1995, 14, 969-973), or adamantane acetic acid (Manoharan et al., Tetrahedron Lett., 1995, 36, 3651-3654), a palmityl moiety (Mishra et al., Biochim. Biophys. Acta, 1995, 1264, 229-237), or an octadecylamine or hexylamino-carbonyl-t oxycholesterol moiety (Crooke et al., J. Pharmacol. Exp. Ther., 1996, 277, 923-937), each of which is herein incorporated by reference in its entirety. See also U.S. Pat. Nos. 4,828,979; 4,948,882; 5,218,105; 5,525,465; 5,541,313; 5,545,730; 5,552,538; 5,578,717, 5,580,731; 5,580,731; 5,591,584; 5,109,124; 5,118,802; 5,138,045; 5,414,077; 5,486,603; 5,512,439; 5,578,718; 5,608,046; 4,587,044; 4,605,735; 4,667,025; 4,762,779; 4,789,737; 4,824,941; 4,835,263; 4,876,335; 4,904,582; 4,958,013; 5,082,830; 5,112,963; 5,214,136; 5,082,830; 5,112,963; 5,214,136; 5,245,022; 5,254,469; 5,258,506; 5,262,536; 5,272,250; 5,292,873; 5,317,098; 5,371,241, 5,391,723; 5,416,203, 5,451,463; 5,510,475; 5,512,667; 5,514,785; 5,565,552; 5,567,810; 5,574,142; 5,585,481; 5,587,371; 5,595,726; 5,597,696; 5,599,923; 5,599,928 and 5,688,941, each of which is herein incorporated by reference in its entirety.


In one particular embodiment, the miRNA agent is linked to (covalently or non-covalently) to a nucleic acid aptamer. Aptamers are synthetic oligonucleotides or peptide molecules that bind to a specific target molecule. Aptamers appropriate for use with the miRNA agents provided herein are described in U.S. Provisional Patent Application No. 61/695,477 filed Aug. 31, 2012 and incorporated by reference herein in its entirety.


Accordingly, in a first aspect, the invention provides an adipocyte-specific miRNA modulator composition comprising: I) a targeting moiety that selectively binds to a cellular surface marker on an adipose target cell in a human and II) a thermogenic miRNA modulator moiety, wherein the targeting moiety facilitates uptake of the miRNA modulatory moiety by the target cell such that the miRNA is capable of targeting a thermogenic pathway and up regulating thermogenesis in the target cell.


In one embodiment, the composition comprises an aptamir comprising an aptamer as the targeting moiety.


In certain embodiments, the aptamers used with the miRNAs disclosed herein specifically bind to cell surface marker proteins on an adipose tissue mesenchymal stem cell (ATMSC), white adipose tissue (WAT) adipocytes and brown adipose tissue (BAT) adipocytes. Cell surface markers for ATMSCs include CD9, CD10, CD13, CD29, CD36, CD44, CD49d, CD54, CD55, CD59, CD73, CD90, CD91, CD105, CD137, CD146, CD166, and HLA-ABC. Cell surface markers for WAT adipocytes include Adiponectin, Caveolin-1, Caveolin-2, CD36 (FAT), CLH-22 (Clathrin Heavy Chain Chr 22), FABP4 (Adipocyte protein 2, aP2), SLC27A1 (FATP1), SLC27A2 (FATP2), GLUT4 (Glucose Transporter 4), Perilipin 2 or Resistin. Cell surface markers for all adipocytes include Neprilysin (CD10), FAT (CD36), Thy-1 (CD90), Low density lipoprotein receptor-related protein 1 (LRP1 or CD91), Caveolin-1, Caveolin-2, Fatty acid binding protein 4 (FABP4), Cell surface glycoprotein MUC18 (CD146), Activated leukocyte cell adhesion molecule (CD166) and Natriuretic peptide receptor A (NPR1). According to other embodiments, the aptamers for use with the miRNAs disclosed herein can also specifically bind to markers of adipose tissue including adiponectin, leptin, resistin, FGF 17, FGF 19, BMP7, PYY, MetAP2, RBP4, endostatin, and angiostatin.


In certain embodiments, the aptamers are selected by the Cell-SELEX technology which uses whole living cells as the target, whereby aptamers that recognize specific molecules in their native conformation in their natural environment on the surface of intact cells are selected by repeated amplification and binding to living cells. In this cell-based selection, specific cell surface molecules or even unknown membrane receptors can be directly targeted within their native environment, allowing a straightforward enrichment of cell-specific aptamers.


In certain exemplary embodiments, the miRNA modulator is combined with an aptamer to create an “AptamiR” composition. There are many different ways to combine an aptamer and miRNA analog(s) to create an aptamir. They include, for example, aptamer-miRNA analog chimeras, aptamer-splice-switching oligonucleotide chimeras, and aptamer conjugated to nanoparticles or liposomes containing the miRNA analog(s). “Escort Aptamers” may be inserted at the surface of functional polymers, liposomes, and nanoparticles, each of which can carry many miRNA analogs. For instance, the size of thioaptamer-conjugated liposomes is about 120 nm. Nanoparticle approaches have several functional advantages, including, for example, cellular uptake, the ability to cross membranes, and triggered nanoparticle disassembly.


In one embodiment, an aptamiR composition comprises an aptamer that is directly linked or fused to a miRNA modulator. Such aptamiRs are entirely chemically synthesized, which provides more control over the composition of the conjugate. For instance, the stoichiometry (ratio of miRNA analog per aptamer) and site of attachment can be precisely defined. The linkage portion of the conjugate presents a plurality (2 or more) of nucleophilic and/or electrophilic moieties that serve as the reactive attachment point for the aptamers and miRNA analogs. In addition, the aptamir may further comprise a linker between the aptamer and the miRNA analog. In some embodiments, the linker is a polyalkylene glycol, particularly a polyethylene glycol. In other embodiments, the linker is a liposome, exosome, dendrimer, or comb polymer. Other linkers can mediate the conjugation between the aptamer and the miRNA analog, including a biotinstreptavidin bridge, or a ribonucleic acid. Exemplary non-covalent linkers include linkers formed by base pairing a single stranded portion or overhang of the miRNA moiety and a complementary single-stranded portion or overhang of the aptamer moiety.


In another particular embodiment, an aptamer is combined with a miRNA analog in the form of a liposome-based aptamiR. Liposomes are spherical nanostructures made of a lipid bilayer that can be loaded with pharmaceuticals, such as miRNAs. Furthermore, the liposome surface can be loaded with different substances, such as polyethylene glycol (extending their systemic half-life) or molecular recognition moieties like aptamers for specific binding to targeted cells. For example, aptamer-modified liposomes have been developed, with each liposome displaying approximately 250 aptamers tethered to its surface to facilitate target binding. In a preferred embodiment, liposomes are created to encapsulate miRNA analog(s) and display at their surface aptamers that specifically bind with high affinity and specificity to molecules (e.g. lipid transporters) highly expressed at the surface of adipocytes and ATMSCs. The fusion of the liposomes with the targeted cells causes the release of the miRNA analog(s) into the cell cytoplasm, which then alter a specific intra-cellular pathway. Alternatively, stable thioaptamers may be inserted at the surface of liposomes to guide delivery of the liposome miRNA analog(s) load to targeted ATMSCs and adipocytes.


In a further particular embodiment, an aptamer is combined with a miRNA analog in the form of a carrier-based aptamiR. Exemplary carriers include nanoparticles, lipsomes or exosomes. Such carrier-based aptamiR compositions have the capability of delivering a cargo of multiple miRNA modulators to the target cell in a single carrier. To accomplish targeting and accumulation, the carriers are formulated to present the targeting moiety on their external surface so they can react/bind with selected cell surface antigens or receptors on the adipose target cell. As an example, carriers may be created to encapsulate miRNA modulators while displaying at their surface aptamers that specifically bind with high affinity and specificity to molecules (e.g. lipid transporters) highly expressed at the surface of adipocytes and ATMSCs. The internalized exosomes release inside the cell cytoplasm their miRNA analog(s) load, which alters a specific intra-cellular pathway.


In one embodiment, the carrier is an exosome. Exosomes, which originate from late endosomes, are naturally occurring nanoparticles that are specifically loaded with proteins, mRNAs, or miRNAs, and are secreted endogenously by cells. Exosomes are released from host cells, are not cytotoxic, and can transfer information to specific cells based on their composition and the substance in/on the exosome. Because exosomes are particles of approximately 20-100 nm in diameter, the exosomes evade clearance by the mononuclear phagocyte system (which clears circulating particles >100 nm in size), and are very efficiently delivered to target tissues.


Moreover, synthetic exosomes may offer several advantages over other carriers. For example, they may deliver their cargo directly into the cytosol, while their inertness avoids attack and clearance in the extracellular environment. The structural constituents of exosomes may include small molecules responsible for processes like signal transduction, membrane transport, antigen presentation, targeting/adhesion, among many others.


The miRNA agents must be sufficiently complementary to the target mRNA, i.e., hybridize sufficiently well and with sufficient specificity, to give the desired effect. “Complementary” refers to the capacity for pairing, through hydrogen bonding, between two sequences comprising naturally or non-naturally occurring bases or analogs thereof. For example, if a base at one position of a miRNA agent is capable of hydrogen bonding with a base at the corresponding position of a target nucleic acid sequence, then the bases are considered to be complementary to each other at that position. In certain embodiments, 100% complementarity is not required. In other embodiments, 100% complementarity is required.


miRNA agents for use in the methods disclosed herein can be designed using routine methods. While the specific sequences of certain exemplary target nucleic acid sequences and miRNA agents are set forth herein, one of skill in the art will recognize that these serve to illustrate and describe particular embodiments within the scope of the present invention. Additional target segments are readily identifiable by one having ordinary skill in the art in view of this disclosure. Target segments of 5, 6, 7, 8, 9, 10 or more nucleotides in length comprising a stretch of at least five (5) consecutive nucleotides within the seed sequence, or immediately adjacent thereto, are considered to be suitable for targeting a gene. In some embodiments, target segments can include sequences that comprise at least the 5 consecutive nucleotides from the 5′-terminus of one of the seed sequence (the remaining nucleotides being a consecutive stretch of the same RNA beginning immediately upstream of the 5′-terminus of the seed sequence and continuing until the miRNA agent contains about 5 to about 30 nucleotides). In some embodiments, target segments are represented by RNA sequences that comprise at least the 5 consecutive nucleotides from the 3′-terminus of one of the seed sequence (the remaining nucleotides being a consecutive stretch of the same miRNA beginning immediately downstream of the 3′-terminus of the target segment and continuing until the miRNA agent contains about 5 to about 30 nucleotides). One having skill in the art armed with the sequences provided herein will be able, without undue experimentation, to identify further preferred regions to target using miRNA agents. Once one or more target regions, segments or sites have been identified, inhibitory nucleic acid compounds are chosen that are sufficiently complementary to the target, i.e., that hybridize sufficiently well and with sufficient specificity (i.e., do not substantially bind to other non-target nucleic acid sequences), to give the desired effect.


In certain embodiments, miRNA agents used to practice this invention are expressed from a recombinant vector. Suitable recombinant vectors include, without limitation, DNA plasmids, viral vectors or DNA minicircles. Generation of the vector construct can be accomplished using any suitable genetic engineering techniques well known in the art, including, without limitation, the standard techniques of PCR, oligonucleotide synthesis, restriction endonuclease digestion, ligation, transformation, plasmid purification, and DNA sequencing, for example as described in Sambrook et al. Molecular Cloning: A Laboratory Manual. (1989), Coffin et al. (Retroviruses. (1997) and “RNA Viruses: A Practical Approach” (Alan J. Cann, Ed., Oxford University Press, (2000)). As will be apparent to one of ordinary skill in the art, a variety of suitable vectors are available for transferring nucleic acids of the invention into cells. The selection of an appropriate vector to deliver nucleic acids and optimization of the conditions for insertion of the selected expression vector into the cell, are within the scope of one of ordinary skill in the art without the need for undue experimentation. Viral vectors comprise a nucleotide sequence having sequences for the production of recombinant virus in a packaging cell. Viral vectors expressing nucleic acids of the invention can be constructed based on viral backbones including, but not limited to, a retrovirus, lentivirus, adenovirus, adeno-associated virus, pox virus or alphavirus. The recombinant vectors can be delivered as described herein, and persist in target cells (e.g., stable transformants).


In certain embodiments, miRNA agents used to practice this invention are synthesized in vitro using chemical synthesis techniques, as described in, e.g., Adams (1983) J. Am. Chem. Soc. 105:661; Belousov (1997) Nucleic Acids Res. 25:3440-3444; Frenkel (1995) Free Radic. Biol. Med. 19:373-380; Blommers (1994) Biochemistry 33:7886-7896; Narang (1979) Meth. Enzymol. 68:90; Brown (1979) Meth. Enzymol. 68: 109; Beaucage (1981) Tetra. Lett. 22: 1859; U.S. Pat. No. 4,458,066, each of which is herein incorporated by reference in its entirety.


IV. Methods of Treatment

In one aspect, the invention provides a method of treating obesity in human subject. The method generally comprises administering to the human subject an effective amount of a miRNA agent that modulates activity of at least one thermogenic regulator, (e.g., a mitochondrial uncoupler, such as UCP1 and/or UCP2).


Such methods of treatment may be specifically tailored or modified, based on knowledge obtained from the field of pharmacogenomics. Thus, another aspect of the invention provides methods for tailoring an individual's prophylactic or therapeutic treatment with either the target gene molecules of the present invention or target gene modulators according to that individual's drug response genotype. Pharmacogenomics allows a clinician or physician to target prophylactic or therapeutic treatments to patients who will most benefit from the treatment and to avoid treatment of patients who will experience toxic drug-related side effects.


miRNA agents can be tested in an appropriate animal model e.g., an obesity model including ob/ob mice (Lindstrom P., Scientific World Journal, 7:666-685 (2007) and db/db mice (Sharma K et al., Am J Physiol Renal Physiol., 284(6):F1138-1144 (2003)). For example, a miRNA agent (or expression vector or transgene encoding same) as described herein can be used in an animal model to determine the efficacy, toxicity, or side effects of treatment with said agent. Alternatively, a therapeutic agent can be used in an animal model to determine the mechanism of action of such an agent. For example, a miRNA agent can be used in an animal model to determine the efficacy, toxicity, or side effects of treatment with such an agent. Alternatively, an agent can be used in an animal model to determine the mechanism of action of such an agent.


The disclosure also provides a method of inducing pre-adipocytes to differentiate into white adipocytes and white adipocytes into brown adipocytes, comprising administering to a population of pre-adipocytes one or more miRNAs selected from hsa-let-7a agomir, hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-1 antagomir, hsa-miR-19b agomir, hsa-miR-19b antagomir, hsa-miR-30b agomir and hsa-miR-30b antagomir. In certain embodiments, the induction of pre-adipocytes to differentiate into adipocytes is greater than the differentiation of pre-adipocytes to adipocytes than when pre-adipocytes are exposed to 100 nM rosiglitazone for two days followed by maintenance medium. In certain embodiments, the adipocytes are brown adipocytes. In other embodiments, the adipocytes are white adipocytes.


The disclosure also provides a method for increasing insulin sensitivity in a subject in need thereof comprising administering the subject one or more miRNAs selected from the group consisting of hsa-let-7a agomir, hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-1 antagomir, hsa-miR-19b agomir, hsa-miR-19b antagomir, hsa-miR-30b agomir and hsa-miR-30b antagomir. In certain embodiments, the subject is a mammal.


The disclosure also provides a method of causing fat loss in a subject in need thereof comprising administering the subject one or more miRNAs selected from the group consisting of hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-19b agomir and hsa-miR-30b agomir. In certain embodiments, the subject is a mammal. In other embodiments, the mammal is a human.


A miRNA agent modified for enhancing uptake into cells (e.g., adipose cells) can be administered at a unit dose less than about 15 mg per kg of bodyweight, or less than 10, 5, 2, 1, 0.5, 0.1, 0.05, 0.01, 0.005, 0.001, 0.0005, 0.0001, 0.00005 or 0.00001 mg per kg of bodyweight, and less than 200 nmole of miRNA agent (e.g., about 4.4×1016 copies) per kg of bodyweight, or less than 1500, 750, 300, 150, 75, 15, 7.5, 1.5, 0.75, 0.15, 0.075, 0.015, 0.0075, 0.0015, 0.00075, 0.00015 nmole of RNA silencing agent per kg of bodyweight. The unit dose, for example, can be administered by injection (e.g., intravenous or intramuscular), an inhaled dose, or a topical application. Particularly preferred dosages are less than 2, 1, or 0.1 mg/kg of body weight.


Delivery of a miRNA agent directly to an organ or tissue (e.g., directly to adipose tissue) can be at a dosage on the order of about 0.00001 mg to about 3 mg per organ/tissue, or preferably about 0.0001-0.001 mg per organ/tissue, about 0.03-3.0 mg per organ/tissue, about 0.1-3.0 mg per organ/tissue or about 0.3-3.0 mg per organ/tissue. The dosage can be an amount effective to treat or prevent obesity or to increase insulin sensitivity. In one embodiment, the unit dose is administered less frequently than once a day, e.g., less than every 2, 4, 8 or 30 days. In another embodiment, the unit dose is not administered with a frequency (e.g., not a regular frequency). For example, the unit dose may be administered a single time. In one embodiment, the effective dose is administered with other traditional therapeutic modalities.


In certain embodiment, a subject is administered an initial dose, and one or more maintenance doses of a miRNA agent. The maintenance dose or doses are generally lower than the initial dose, e.g., one-half less of the initial dose. A maintenance regimen can include treating the subject with a dose or doses ranging from 0.01 mg/kg to 1.4 mg/kg of body weight per day, e.g., 10, 1, 0.1, 0.01, 0.001, or 0.00001 mg per kg of bodyweight per day. The maintenance doses are preferably administered no more than once every 5, 10, or 30 days. Further, the treatment regimen may last for a period of time which will vary depending upon the nature of the particular disease, its severity and the overall condition of the patient. In preferred embodiments the dosage may be delivered no more than once per day, e.g., no more than once per 24, 36, 48, or more hours, e.g., no more than once every 5 or 8 days. Following treatment, the patient can be monitored for changes in condition, e.g., changes in percentage body fat. The dosage of the compound may either be increased in the event the patient does not respond significantly to current dosage levels, or the dose may be decreased if a decrease in body fat is observed, or if undesired side effects are observed.


The effective dose can be administered in a single dose or in two or more doses, as desired or considered appropriate under the specific circumstances. If desired to facilitate repeated or frequent infusions, implantation of a delivery device, e.g., a pump, semi-permanent stent (e.g., sub-cutaneous, intravenous, intraperitoneal, intracisternal or intracapsular), or reservoir may be advisable. In one embodiment, a pharmaceutical composition includes a plurality of miRNA agent species. In another embodiment, the miRNA agent species has sequences that are non-overlapping and non-adjacent to another species with respect to a naturally occurring target sequence. In another embodiment, the plurality of miRNA agent species is specific for different naturally occurring target genes. In another embodiment, the miRNA agent is allele specific. In another embodiment, the plurality of miRNA agent species target two or more SNP alleles (e.g., two, three, four, five, six, or more SNP alleles).


Following successful treatment, it may be desirable to have the patient undergo maintenance therapy to prevent the recurrence of the disease state, wherein the compound of the invention is administered in maintenance doses, ranging from 0.01 mg per kg to 100 mg per kg of body weight (see U.S. Pat. No. 6,107,094).


The concentration or amount of miRNA agent administered will depend on the parameters determined for the agent and the method of administration, e.g. nasal, buccal, or pulmonary. For example, nasal formulations tend to require much lower concentrations of some ingredients in order to avoid irritation or burning of the nasal passages. It is sometimes desirable to dilute an oral formulation up to 10-100 times in order to provide a suitable nasal formulation.


Certain factors may influence the dosage required to effectively treat a subject, including but not limited to the severity of the disease or disorder, previous treatments, the general health and/or age of the subject, and other diseases present. Moreover, treatment of a subject with a therapeutically effective amount of a miRNA agent can include a single treatment or, preferably, can include a series of treatments. It will also be appreciated that the effective dosage of a miRNA agent for treatment may increase or decrease over the course of a particular treatment. Changes in dosage may result and become apparent from the results of diagnostic assays as described herein. For example, the subject can be monitored after administering a miRNA agent composition. Based on information from the monitoring, an additional amount of the miRNA agent composition can be administered.


Dosing is dependent on severity and responsiveness of the disease condition to be treated, with the course of treatment lasting from several days to several months, or until a cure is effected or a diminution of disease state is achieved. Optimal dosing schedules can be calculated from measurements of drug accumulation in the body of the patient. Persons of ordinary skill can easily determine optimum dosages, dosing methodologies and repetition rates. Optimum dosages may vary depending on the relative potency of individual compounds, and can generally be estimated based on EC50s found to be effective in in vitro and in vivo animal models. In some embodiments, the animal models include transgenic animals that express a human gene, e.g., a gene that produces a target mRNA (e.g., a thermogenic regulator). The transgenic animal can be deficient for the corresponding endogenous mRNA. In another embodiment, the composition for testing includes a miRNA agent that is complementary, at least in an internal region, to a sequence that is conserved between a nucleic acid sequence in the animal model and the target nucleic acid sequence in a human.


Several studies have reported successful mammalian dosing using miRNA agents. For example, Esau C, et al., Cell Metabolism, 3(2): 87-98 (2006) reported dosing of normal mice with intraperitoneal doses of miR-122 antisense oligonucleotide ranging from 12.5 to 75 mg/kg twice weekly for 4 weeks. The mice appeared healthy and normal at the end of treatment, with no loss of body weight or reduced food intake. Plasma transaminase levels were in the normal range (AST ¾45, ALT ¾35) for all doses with the exception of the 75 mg/kg dose of miR-122 ASO, which showed a very mild increase in ALT and AST levels. They concluded that 50 mg/kg was an effective, nontoxic dose. Another study by Krutzfeldt J., et al., Nature, 438, 685-689 (2005), injected antagomirs to silence miR-122 in mice using a total dose of 80, 160 or 240 mg per kg body weight. The highest dose resulted in a complete loss of miR-122 signal. In yet another study, locked nucleic acids (“LNAs”) were successfully applied in primates to silence miR-122. Elmen J., et al., (2008) Nature 452, 896-899, report that efficient silencing of miR-122 was achieved in primates by three doses of 10 mg per kg LNA-antimiR, leading to a long-lasting and reversible decrease in total plasma cholesterol without any evidence for LNA-associated toxicities or histopathological changes in the study animals.


In certain embodiments, miRNA agents used to practice this invention are administered through expression from a recombinant vector. Suitable recombinant vectors include, without limitation, DNA plasmids, viral vectors or DNA minicircles. Generation of the vector construct can be accomplished using any suitable genetic engineering techniques well known in the art, including, without limitation, the standard techniques of PCR, oligonucleotide synthesis, restriction endonuclease digestion, ligation, transformation, plasmid purification, and DNA sequencing, for example as described in Sambrook et al. Molecular Cloning: A Laboratory Manual. (1989)), Coffin et al. (Retroviruses. (1997)) and “RNA Viruses: A Practical Approach” (Alan J. Cann, Ed., Oxford University Press, (2000)). As will be apparent to one of ordinary skill in the art, a variety of suitable vectors are available for transferring nucleic acids of the invention into cells. The selection of an appropriate vector to deliver nucleic acids and optimization of the conditions for insertion of the selected expression vector into the cell, are within the scope of one of ordinary skill in the art without the need for undue experimentation. Viral vectors comprise a nucleotide sequence having sequences for the production of recombinant virus in a packaging cell. Viral vectors expressing nucleic acids of the invention can be constructed based on viral backbones including, but not limited to, a retrovirus, lentivirus, adenovirus, adeno-associated virus, pox virus or alphavirus. The recombinant vectors can be delivered as described herein, and persist in target cells (e.g., stable transformants).


miRNA agents may be directly introduced into a cell (e.g., an adipocyte); or introduced extracellularly into a cavity, interstitial space, into the circulation of an organism, introduced orally, or may be introduced by bathing a cell or organism in a solution containing the nucleic acid. Vascular or extravascular circulation, the blood or lymph system, and the cerebrospinal fluid are sites where the nucleic acid may be introduced.


The miRNA agents of the invention can be introduced using nucleic acid delivery methods known in art including injection of a solution containing the nucleic acid, bombardment by particles covered by the nucleic acid, soaking the cell or organism in a solution of the nucleic acid, or electroporation of cell membranes in the presence of the nucleic acid. Other methods known in the art for introducing nucleic acids to cells may be used, such as lipid-mediated carrier transport, chemical-mediated transport, and cationic liposome transfection such as calcium phosphate, and the like. The miRNA agents may be introduced along with other components e.g., compounds that enhance miRNA agent uptake by a cell.


In certain embodiments, the methods described herein include co-administration of miRNA agents with other drugs or pharmaceuticals, e.g., compositions for modulating thermogenesis, compositions for treating diabetes, compositions for treating obesity. Compositions for modulating thermogenesis include beta-3 adrenergic receptor agonists, thyroid hormones, PPARG agonists, leptin, adiponectin, and orexin.


V. Screening Methods

In another aspect, the invention provides a method of screening for a miRNA agent that modulates thermogenesis, decreases obesity, or improves insulin sensitivity. The method generally comprises the steps of: providing an indicator cell; contacting the indicator cell with a test miRNA agent; and determining the expression level and/or cellular activity of at least one thermogenic regulator in the indicator cell in the presence and absence of the miRNA agent, wherein a change in the activity of the thermogenic regulator in the presence of the test miRNA agent identifies the test miRNA agent as a miRNA agent that modulates thermogenesis, decreases obesity, or improves insulin sensitivity. In certain embodiments, the method involves determining an increase the expression level and/or activity of the thermogenic regulator (e.g., UCP1, UCP2). The indicator cell can be a mammalian cell. In certain embodiments, the mammalian cell is a human cell, which comprises at least a portion of a human genome.


Any thermogenic regulator can be assayed in the methods disclosed herein. Exemplary thermogenic regulators are set forth in Table 2. In a preferred embodiment, the thermogenic regulator is a mitochondrial uncoupling protein e.g., UCP1 and/or UCP2.


Any cell in which the activity of a thermogenic regulator can be measured is suitable for use in the methods disclosed herein. Exemplary cells include pre-adipocytes, adipocytes, adipose tissue derived mesenchymal stem cells, hepatocytes, myocytes, or precursors thereof.


Any activity of a thermogenic regulator can be assayed, including, without limitation, mRNA expression level, protein expression level or mitochondrial uncoupling activity of the thermogenic regulator. Methods for determining such activities are well known in the art.


Any miRNA agent can be screened, including, without limitation, miRNA, agomirs, antagomirs, aptamirs, miR-masks, miRNA sponges, siRNA (single- or double-stranded), shRNA, antisense oligonucleotides, ribozymes, or other oligonucleotide mimetics which hybridize to at least a portion of a target nucleic acid and modulate its function.


VI. Pharmaceutical Compositions

In one aspect, the methods disclosed herein can include the administration of pharmaceutical compositions and formulations comprising miRNA agents capable of modulating the activity of at least one thermogenic modulator.


In certain embodiments, the compositions are formulated with a pharmaceutically acceptable carrier. The pharmaceutical compositions and formulations can be administered parenterally, topically, by direct administration into the gastrointestinal tract (e.g., orally or rectally), or by local administration, such as by aerosol or transdermally. The pharmaceutical compositions can be formulated in any way and can be administered in a variety of unit dosage forms depending upon the condition or disease and the degree of illness, the general medical condition of each patient, the resulting preferred method of administration and the like. Details on techniques for formulation and administration of pharmaceuticals are well described in the scientific and patent literature, see, e.g., Remington: The Science and Practice of Pharmacy, 21st ed., 2005.


The miRNA agents can be administered alone or as a component of a pharmaceutical formulation (composition). The compounds may be formulated for administration, in any convenient way for use in human or veterinary medicine. Wetting agents, emulsifiers and lubricants, such as sodium lauryl sulfate and magnesium stearate, as well as coloring agents, release agents, coating agents, sweetening, flavoring and perfuming agents, preservatives and antioxidants can also be present in the compositions.


Formulations of the compositions of the invention include those suitable for intradermal, inhalation, oral/nasal, topical, parenteral, rectal, and/or intravaginal administration. The formulations may conveniently be presented in unit dosage form and may be prepared by any methods well known in the art of pharmacy. The amount of active ingredient (e.g., nucleic acid sequences of this invention) which can be combined with a carrier material to produce a single dosage form will vary depending upon the host being treated, the particular mode of administration, e.g., intradermal or inhalation. The amount of active ingredient which can be combined with a carrier material to produce a single dosage form will generally be that amount of the compound which produces a therapeutic effect, e.g., an antigen specific T cell or humoral response.


Pharmaceutical formulations of the invention can be prepared according to any method known to the art for the manufacture of pharmaceuticals. Such drugs can contain sweetening agents, flavoring agents, coloring agents and preserving agents. A formulation can be admixtured with nontoxic pharmaceutically acceptable excipients which are suitable for manufacture. Formulations may comprise one or more diluents, emulsifiers, preservatives, buffers, excipients, etc. and may be provided in such forms as liquids, powders, emulsions, lyophilized powders, sprays, creams, lotions, controlled release formulations, tablets, pills, gels, on patches, in implants, etc.


Pharmaceutical formulations for oral administration can be formulated using pharmaceutically acceptable carriers well known in the art in appropriate and suitable dosages. Such carriers enable the pharmaceuticals to be formulated in unit dosage forms as tablets, pills, powder, dragées, capsules, liquids, lozenges, gels, syrups, slurries, suspensions, etc., suitable for ingestion by the patient. Pharmaceutical preparations for oral use can be formulated as a solid excipient, optionally grinding a resulting mixture, and processing the mixture of granules, after adding suitable additional compounds, if desired, to obtain tablets or dragée cores. Suitable solid excipients are carbohydrate or protein fillers include, e.g., sugars, including lactose, sucrose, mannitol, or sorbitol; starch from corn, wheat, rice, potato, or other plants; cellulose such as methyl cellulose, hydroxypropylmethyl-cellulose, or sodium carboxy-methylcellulose; and gums including arabic and tragacanth; and proteins, e.g., gelatin and collagen. Disintegrating or solubilizing agents may be added, such as the cross-linked polyvinyl pyrrolidone, agar, alginic acid, or a salt thereof, such as sodium alginate. Push-fit capsules can contain active agents mixed with a filler or binders such as lactose or starches, lubricants such as talc or magnesium stearate, and, optionally, stabilizers. In soft capsules, the active agents can be dissolved or suspended in suitable liquids, such as fatty oils, liquid paraffin, or liquid polyethylene glycol with or without stabilizers.


Aqueous suspensions can contain an active agent (e.g., nucleic acid sequences of the invention) in admixture with excipients suitable for the manufacture of aqueous suspensions, e.g., for aqueous intradermal injections. Such excipients include a suspending agent, such as sodium carboxymethylcellulose, methylcellulose, hydroxypropylmethylcellulose, sodium alginate, polyvinylpyrrolidone, gum tragacanth and gum acacia, and dispersing or wetting agents such as a naturally occurring phosphatide (e.g., lecithin), a condensation product of an alkylene oxide with a fatty acid (e.g., polyoxyethylene stearate), a condensation product of ethylene oxide with a long chain aliphatic alcohol (e.g., heptadecaethylene oxycetanol), a condensation product of ethylene oxide with a partial ester derived from a fatty acid and a hexitol (e.g., polyoxyethylene sorbitol mono-oleate), or a condensation product of ethylene oxide with a partial ester derived from fatty acid and a hexitol anhydride (e.g., polyoxyethylene sorbitan mono-oleate). The aqueous suspension can also contain one or more preservatives such as ethyl or n-propyl p-hydroxybenzoate, one or more coloring agents, one or more flavoring agents and one or more sweetening agents, such as sucrose, aspartame or saccharin. Formulations can be adjusted for osmolarity.


In certain embodiments, oil-based pharmaceuticals are used for administration of the miRNA agents. Oil-based suspensions can be formulated by suspending an active agent in a vegetable oil, such as arachis oil, olive oil, sesame oil or coconut oil, or in a mineral oil such as liquid paraffin; or a mixture of these. See e.g., U.S. Pat. No. 5,716,928 describing using essential oils or essential oil components for increasing bioavailability and reducing inter- and intra-individual variability of orally administered hydrophobic pharmaceutical compounds (see also U.S. Pat. No. 5,858,401). The oil suspensions can contain a thickening agent, such as beeswax, hard paraffin or cetyl alcohol. Sweetening agents can be added to provide a palatable oral preparation, such as glycerol, sorbitol or sucrose. These formulations can be preserved by the addition of an antioxidant such as ascorbic acid. As an example of an injectable oil vehicle, see Minto (1997) J. Pharmacol. Exp. Ther. 281:93-102.


In certain embodiments, the pharmaceutical compositions and formulations are in the form of oil-in-water emulsions. The oily phase can be a vegetable oil or a mineral oil, described above, or a mixture of these. Suitable emulsifying agents include naturally-occurring gums, such as gum acacia and gum tragacanth, naturally occurring phosphatides, such as soybean lecithin, esters or partial esters derived from fatty acids and hexitol anhydrides, such as sorbitan mono-oleate, and condensation products of these partial esters with ethylene oxide, such as polyoxyethylene sorbitan mono-oleate. The emulsion can also contain sweetening agents and flavoring agents, as in the formulation of syrups and elixirs. Such formulations can also contain a demulcent, a preservative, or a coloring agent. In alternative embodiments, these injectable oil-in-water emulsions of the invention comprise a paraffin oil, a sorbitan monooleate, an ethoxylated sorbitan monooleate and/or an ethoxylated sorbitan trioleate.


In certain embodiments, the pharmaceutical compositions and formulations are administered by in intranasal, intraocular and intravaginal routes including suppositories, insufflation, powders and aerosol formulations (for examples of steroid inhalants, see e.g., Rohatagi (1995) J. Clin. Pharmacol. 35: 1 187-1193; Tjwa (1995) Ann. Allergy Asthma Immunol. 75: 107-1 11). Suppositories formulations can be prepared by mixing the drug with a suitable non-irritating excipient which is solid at ordinary temperatures but liquid at body temperatures and will therefore melt in the body to release the drug. Such materials are cocoa butter and polyethylene glycols.


In certain embodiments, the pharmaceutical compositions and formulations are delivered transdermally, by a topical route, formulated as applicator sticks, solutions, suspensions, emulsions, gels, creams, ointments, pastes, jellies, paints, powders, and aerosols.


In certain embodiments, the pharmaceutical compositions and formulations are delivered as microspheres for slow release in the body. For example, microspheres can be administered via intradermal injection of drug which slowly release subcutaneously; see Rao (1995) J. Biomater Sci. Polym. Ed. 7:623-645; as biodegradable and injectable gel formulations, see, e.g., Gao (1995) Pharm. Res. 12:857-863 (1995); or, as microspheres for oral administration, see, e.g., Eyles (1997) J. Pharm. Pharmacol. 49:669-674.


In certain embodiments, the pharmaceutical compositions and formulations are parenterally administered, such as by intravenous (IV) administration or administration into a body cavity or lumen of an organ. These formulations can comprise a solution of active agent dissolved in a pharmaceutically acceptable carrier. Acceptable vehicles and solvents that can be employed are water and Ringer's solution, an isotonic sodium chloride. In addition, sterile fixed oils can be employed as a solvent or suspending medium. For this purpose any bland fixed oil can be employed including synthetic mono- or diglycerides. In addition, fatty acids such as oleic acid can likewise be used in the preparation of injectables. These solutions are sterile and generally free of undesirable matter. These formulations may be sterilized by conventional, well-known sterilization techniques. The formulations may contain pharmaceutically acceptable auxiliary substances as required to approximate physiological conditions such as pH adjusting and buffering agents, toxicity adjusting agents, e.g., sodium acetate, sodium chloride, potassium chloride, calcium chloride, sodium lactate and the like. The concentration of active agent in these formulations can vary widely, and will be selected primarily based on fluid volumes, viscosities, body weight, and the like, in accordance with the particular mode of administration selected and the patient's needs. For IV administration, the formulation can be a sterile injectable preparation, such as a sterile injectable aqueous or oleaginous suspension. This suspension can be formulated using those suitable dispersing or wetting agents and suspending agents. The sterile injectable preparation can also be a suspension in a nontoxic parenterally-acceptable diluent or solvent, such as a solution of 1,3-butanediol. The administration can be by bolus or continuous infusion (e.g., substantially uninterrupted introduction into a blood vessel for a specified period of time).


In certain embodiments, the pharmaceutical compounds and formulations are lyophilized. Stable lyophilized formulations comprising an inhibitory nucleic acid can be made by lyophilizing a solution comprising a pharmaceutical of the invention and a bulking agent, e.g., mannitol, trehalose, raffinose, and sucrose or mixtures thereof. A process for preparing a stable lyophilized formulation can include lyophilizing a solution about 2.5 mg/mL nucleic acid, about 15 mg/mL sucrose, about 19 mg/mL NaCl, and a sodium citrate buffer having a pH greater than 5.5 but less than 6.5. See, e.g., U.S. 20040028670.


In certain embodiments, the pharmaceutical compositions and formulations are delivered by the use of liposomes. By using liposomes, particularly where the liposome surface carries ligands specific for target cells, or are otherwise preferentially directed to a specific organ, one can focus the delivery of the active agent into target cells in vivo. See, e.g., U.S. Pat. Nos. 6,063,400; 6,007,839; Al-Muhammed (1996) J. Microencapsul. 13:293-306; Chonn (1995) Curr. Opin. Biotechnol. 6:698-708; Ostro (1989) Am. J. Hosp. Pharm. 46: 1576-1587.


The formulations of the invention can be administered for prophylactic and/or therapeutic treatments. In certain embodiments, for therapeutic applications, compositions are administered to a subject who is need of reduced triglyceride levels, or who is at risk of or has a disorder described herein, in an amount sufficient to cure, alleviate or partially arrest the clinical manifestations of the disorder or its complications; this can be called a therapeutically effective amount. For example, in certain embodiments, pharmaceutical compositions of the invention are administered in an amount sufficient to treat obesity in a subject.


The amount of pharmaceutical composition adequate to accomplish this is a therapeutically effective dose. The dosage schedule and amounts effective for this use, i.e., the dosing regimen, will depend upon a variety of factors, including the stage of the disease or condition, the severity of the disease or condition, the general state of the patient's health, the patient's physical status, age and the like. In calculating the dosage regimen for a patient, the mode of administration also is taken into consideration.


The dosage regimen also takes into consideration pharmacokinetics parameters well known in the art, i.e., the active agents' rate of absorption, bioavailability, metabolism, clearance, and the like (see, e.g., Hidalgo-Aragones (1996) J. Steroid Biochem. Mol. Biol. 58:611-617; Groning (1996) Pharmazie 51:337-341; Fotherby (1996) Contraception 54:59-69; Johnson (1995) J. Pharm. Sci. 84: 1 144-1 146; Rohatagi (1995) Pharmazie 50:610-613; Brophy (1983) Eur. J. Clin. Pharmacol. 24: 103-108; Remington: The Science and Practice of Pharmacy, 21st ed., 2005). The state of the art allows the clinician to determine the dosage regimen for each individual patient, active agent and disease or condition treated. Guidelines provided for similar compositions used as pharmaceuticals can be used as guidance to determine the dosage regiment, i.e., dose schedule and dosage levels, administered practicing the methods of the invention are correct and appropriate. Single or multiple administrations of formulations can be given depending on for example: the dosage and frequency as required and tolerated by the patient, the degree and amount of cholesterol homeostasis generated after each administration, and the like. The formulations should provide a sufficient quantity of active agent to effectively treat, prevent or ameliorate conditions, diseases or symptoms, e.g., treat obesity.


In certain embodiments, pharmaceutical formulations for oral administration are in a daily amount of between about 1 to 100 or more mg per kilogram of body weight per day. Lower dosages can be used, in contrast to administration orally, into the blood stream, into a body cavity or into a lumen of an organ. Substantially higher dosages can be used in topical or oral administration or administering by powders, spray or inhalation. Actual methods for preparing parenterally or non-parenterally administrable formulations will be known or apparent to those skilled in the art and are described in more detail in such publications as Remington: The Science and Practice of Pharmacy, 21st ed., 2005.


VII. Exemplification

The present invention is further illustrated by the following examples which should not be construed as further limiting. The contents of Sequence Listing, figures and all references, patents and published patent applications cited throughout this application are expressly incorporated herein by reference.


Furthermore, in accordance with the present invention there may be employed conventional molecular biology, microbiology, and recombinant DNA techniques within the skill of the art. Such techniques are explained fully in the literature. See, e.g., Sambrook, Fritsch & Maniatis, Molecular Cloning: A Laboratory Manual, Second Edition (1989) Cold Spring Harbor Laboratory Press, Cold Spring Harbor, N.Y. (herein “Sambrook et al., 1989”); DNA Cloning: A Practical Approach, Volumes I and II (D. N. Glover ed. 1985); Oligonucleotide Synthesis (M. J. Gait ed. 1984); Nucleic Acid Hybridization [B. D. Hames & S. J. Higgins eds. (1985)]; Transcription And Translation [B. D. Hames & S. J. Higgins, Eds. (1984)]; Animal Cell Culture [R. I. Freshney, ed. (1986)]; Immobilized Cells And Enzymes [IRL Press, (1986)]; B. Perbal, A Practical Guide To Molecular Cloning (1984); F. M. Ausubel et al. (eds.), Current Protocols in Molecular Biology, John Wiley & Sons, Inc. (1994).


Example 1
In-Silico Analysis of Thermogenic Regulators

Eighty-three proteins that are involved in regulation of thermogenesis were selected based upon a critical assessment and review of the available scientific information and our own experimental data. These proteins were categorized as activators or repressors of thermogenesis based upon their functions. These thermogenic regulator proteins are set forth in Table 2.









TABLE 2







Thermogenic regulator proteins:











Name
Entrez Gene ID
Ensembl Gene ID











Activators










1
ALDH1A1
216
ENSG00000165092


2
ANP (NPPA)
4878
ENSG00000175206


3
AZGP1
563
ENSG00000160862


4
BMP7
655
ENSG00000101144


5
BMP8B
656
ENSG00000116985


6
CEBPA
1050
ENSG00000245848


7
CEBPB
1051
ENSG00000172216


8
CEBPD
1052
ENSG00000221869


9
CIDEA
1149
ENSG00000176194


10
COX7A1
1346
ENSG00000161281


11
CRAT
1384
ENSG00000095321


12
CREB1
1385
ENSG00000118260


13
CREBBP
1387
ENSG00000005339


14
CTBP1
1487
ENSG00000159692


15
CTBP2
1488
ENSG00000175029


16
DIO2
1734
ENSG00000211448


17
ELOVL3
83401
ENSG00000119915


18
FGF16
8823
ENSG00000196468


19
FGF19
9965
ENSG00000162344


20
FGF21
26291
ENSG00000105550


21
FNDC5
252995
ENSG00000160097


22
FOXC2
2303
ENSG00000176692


23
GDF3
9573
ENSG00000184344


24
HCRT (OREXIN)
3060
ENSG00000161610


25
HOXC8
3224
ENSG00000037965


26
INSR
3643
ENSG00000171105


27
IRS1
3667
ENSG00000169047


28
KDM3A (JMJD1A)
55818
ENSG00000115548


29
KLF5
688
ENSG00000102554


30
KLF11
8462
ENSG00000172059


31
KLF15
28999
ENSG00000163884


32
LRP6
4040
ENSG00000070018


33
MAPK14
1432
ENSG00000112062


34
MED13
9969
ENSG00000108510


35
NCOA1
8648
ENSG00000084676


36
NCOA2
10499
ENSG00000140396


37
NCOA3
8202
ENSG00000124151


38
NR4A3
8013
ENSG00000119508


39
NRF1
4899
ENSG00000106459


40
PLAC8
51316
ENSG00000145287


41
PPARA
5465
ENSG00000186951


42
PPARD
5467
ENSG00000112033


43
PPARG
5468
ENSG00000132170


44
PPARGC1A
10891
ENSG00000109819


45
PPARGC1B
133522
ENSG00000155846


46
PRDM16
63976
ENSG00000142611


47
PRDX3
10935
ENSG00000165672


48
PRKAA1 (AMPKA1)
5562
ENSG00000132356


49
PRKAA2 (AMPKA2)
5563
ENSG00000162409


50
PRKACA
5566
ENSG00000072062


51
PRKACB
5567
ENSG00000142875


52
PRKAR1A
5573
ENSG00000108946


53
SIRT1
23411
ENSG00000096717


54
SIRT3
23410
ENSG00000142082


55
SLC27A2 (FATP2)
11001
ENSG00000140284


56
SREBF1
6720
ENSG00000072310


58
SREBF2
6721
ENSG00000198911


58
STAT5A
6776
ENSG00000126561


59
TRPM8
79054
ENSG00000144481


60
UCP1 (SLC25A7)
7350
ENSG00000109424


61
UCP2 (SLC25A8)
7351
ENSG00000175567


62
UCP3 (SLC25A9)
7352
ENSG00000175564







Repressors










1
ATG7
10533
ENSG00000197548


2
BMP2
650
ENSG00000125845


3
BMP4
652
ENSG00000125378


4
CIDEC
63924
ENSG00000187288


5
CTNNB1
1499
ENSG00000168036


6
DLK1 (Pref-1)
8788
ENSG00000185559


7
E2F4 (p107)
1874
ENSG00000205250


8
EIF4EBP1
1978
ENSG00000187840


9
ESRRA (NR3B1)
2101
ENSG00000173153


10
IKBKE
9641
ENSG00000143466


11
NR1H3 (LXRA)
10062
ENSG00000025434


12
NRIP1 (RIP140)
8204
ENSG00000180530


13
RB1 (pRb)
5925
ENSG00000139687


14
NR0B2 (SHP)
8431
ENSG00000131910


15
RPS6KB1
6198
ENSG00000108443


16
RUNX1T1
862
ENSG00000079102


17
RUNX2
860
ENSG00000124813


18
TNFRSF1A
7132
ENSG00000067182


19
TWIST1
7291
ENSG00000122691


20
WNT5A
7474
ENSG00000114251


21
WNT10B
7480
ENSG00000169884









The STRING 9.0 database of known and predicted protein interactions (string-db.org/) was used to test these 83 candidate molecules. The interactions include direct (physical) and indirect (functional) associations; they are derived from four sources: genomic context; high-throughput experiments; co-expression; and previous knowledge. STRING quantitatively integrates interaction data from these sources for a large number of organisms, and transfers information between these organisms where applicable. The database currently covers 5,214,234 proteins from 1,133 organisms. As an example, the relationships between the 83 thermogenic regulator molecules were centered on UCP1, and molecules having direct and indirect connections with UCP1 could be distinguished using the highest confidence score of 0.90. This relationship is set forth in schematic form in FIG. 1A. From this analysis, it was discovered that nine molecules (CEBPB, CIDEA, KDM3A, NRIP1, PRDM16, PPARG, PPARGC1A, PPKAA2, and UCP2) are directly linked to UCP1, whereas many more molecules are connected to UCP1 on a second or higher degree order.


When the degree of confidence was set to high with a score of 0.70, eight additional proteins were found to be directly linked to UCP1 (AZGP1, DIO2, KLF11, KLF15, NR1H3, PPARA, PPARD, and PPARGC1B), FIG. 1B.


Similarly, the interactions among these 83 thermogenic regulator molecules were independently assessed using other software programs. The interactions predicted by the Ingenuity Pathway Analysis (IPA) Software program (www.ingenuity.com) are shown in FIG. 2A (UCP1 in yellow, activators in green and repressors in purple). The interactions predicted by the Reactome Functional Interaction (Reactome IF) Software program (http://wiki.reactome.org) are shown in FIG. 2B (UCP1 in yellow, activators in green and repressors in purple). The IPA and Reactome IF networks differ from the ones set forth in FIGS. 1A and 1B, obtained with the STRING program. It is not surprising that the results of these algorithms are different because they rely on different predefined parameters, sources of information and selection criteria.


Example 2
In-Silico Selection of Relevant miRNA Targets

To select thermogenic regulators suitable as targets for miRNA agents, several internet-based resources were employed to match miRNAs and their targets (the “micronome”). Exemplary tools are set forth in Table 3.









TABLE 3







Exemplary bioinformatics tools used to select miRNAs and their targets:








Field & Name
Web Address





Integrated Data Mining (8)



BioCarta
http://www.biocarta.com/


Database for Annotation,
http://david.abcc.ncifcrf.gov/home.jsp


Visualization and Integrated


Discovery (DAVID)


GeneOntology
http://www.geneontology.org/


Gene Set Enrichment Analysis
http://www.broadinstitute.org/gsea/index.jsp


(GSEA)


KEGG
http://www.genome.jp/kegg/


PubGene
http://www.pubgene.org/


Reactome
http://www.reactome.org/ReactomeGWT/entrypoint.html


STRING
http://string-db.org/


miRNA Mining & Mapping (8)


deepBase
http://deepbase.sysu.edu.cn/


Human microRNA disease database
http://202.38.126.151/hmdd/mirna/md/


(HMDD)


miRBase V19
http://www.mirbase.org/


miRGen 2.0
http://diana.cslab.ece.ntua.gr/mirgen/


miRNAMap
http://mirnamap.mbc.nctu.edu.tw/


miRSel
http://services.bio.ifi.lmu.de/mirsel/


miRStart
http://mirstart.mbc.nctu.edu.tw/home.php


miR2Disease
http://www.mir2disease.org


miRNA Targets & Expression (21)


DIANA-microT 3.0
http://diana.cslab.ece.ntua.gr/microT/


DIANA-mirExTra
http://diana.cslab.ece.ntua.gr/hexamers/


GSEA Molecular Signatures
http://www.broadinstitute.org/gsea/index.jsp


Database v3.0


MicroCosm Targets
http://www.ebi.ac.uk/enright-srv/microcosm/cgi-bin/targets/v5/download.pl


MicroInspector
http://bioinfo.uni-plovdiv.bg/microinspector/


microRNA.org (ex. miRanda)
http://www.microma.org/microma/home.do


miRDB
http://mirdb.org/miRDB/


miRTarBase
http://mirtarbase.mbc.nctu.edu.tw/index.html


miRTar.Human
http://mirtar.mbc.nctu.edu.tw/human/download.php


miRvestigator
http://mirvestigator.systemsbiology.net/


mirZ
http://www.mirz.unibas.ch/ElMMo2/


MultiMiTar
http://www.isical.ac.in/~bioinfo_miu/multimitar.htm


PhenomiR
http://mips.helmholtz-muenchen.de/phenomir/index.gsp


PicTar
http://pictar.mdc-berlin.de/


PITA
http://genie.weizmann.ac.il/pubs/mir07/mir07_data.html


RepTar
http://bioinformatics.ekmd.huji.ac.il/reptar/


RNAhybrid
http://bibiserv.techfak.uni-bielefeld.de/rnahybrid/


RNA22
http://cbcsrv.watson.ibm.com/rna22.html


Sylamer
http://www.ebi.ac.uk/enright/sylamer/


TarBase 6.0
http://diana.cslab.ece.ntua.gr/DianaToolsNew/index.php?r=tarbase/index


TargetScanHuman 6.2
http://www.targetscan.org/


Integrated miRNA Targets &


Expression Tools (13)


GOmir
http://www.bioacademy.gr/bioinformatics/projects/GOmir/


MAMI (MetaMiR:Target Inference)
http://mami.med.harvard.edu/


mimiRNA
http://mimima.centenary.org.au/mep/formulaire.html


MMIA (microRNA and mRNA
http://147.46.15.115/MMIA/index.html


Integrated Analysis)


mirDIP
http://ophid.utoronto.ca/mirDIP/


miRGator V3.0
http://mirgator.kobic.re.kr


miRecords
http://mirecords.biolead.org/


MIRNA-DISTILLER
http://www.ikp-stuttgart.de/content/language1/html/10415.asp


MiRonTop
http://www.microarray.fr:8080/miRonTop/index


miRror
http://www.proto.cs.huji.ac.il/mirror


miRSystem
http://mirsystem.cgm.ntu.edu.tw/


miRWalk
http://www.ma.uni-heidelberg.de/apps/zmf/mirwalk/index.html


StarBase
http://starbase.sysu.edu.cn/index.php


miRNA Secondary Structure (5)


OligoWalk
http://rna.urmc.rochester.edu/cgi-bin/server_exe/oligowalk/oligowalk_form.cgi


PicTar RNA Studio
http://www.pictar.org/


RNA2D
http://protein3d.ncifcrf.gov/shuyun/rna2d.html


Vienna RNA Package
http://www.tbi.univie.ac.at/ivo/RNA/


Whitehead siRNA algorithm
http://jura.wi.mit.edu/bioc/siRNAext/


Network Searches & Analyses (8)


ARIADNE
http://www.ariadnegenomics.com/products/pathway-studio/


Pathway Studio


Cytoscape
http://www.cytoscape.org/


Database for Annotation,
http://david.abcc.ncifcrf.gov/home.jsp


Visualization and Integrated


Discovery (DAVID)


Genego MetaCore
http://www.genego.com/metacore.php


Ingenuity Systems IPA
http://www.ingenuity.com/products/IPA/microRNA.html


(Ingenuity Pathway Analysis)


MATISSE
http://acgt.cs.tau.ac.il/matisse/


(Module Analysis via Topology of


Interactions and Similarity Sets)


MIR@NT@N
http://mironton.uni.lu


NAViGaTOR
http://ophid.utoronto.ca/navigator/index.html


Molecular Visualization (4)


Foldit
http://fold.it/portal/info/science


PyMOL
http://www.pymol.org/


Qlucore Omics Explorer
http://www.qlucore.com/ProdOverviewmiRNA.aspx


WebMol
http://www.cmpharm.ucsf.edu/cgi-bin/webmol.pl


Information Integration (1)


TIBCO Spotfire
http://spotfire.tibco.com/









Specifically, these tools were used to perform: 1) Integrated Data Mining (8 tools); 2) miRNA Mining and Mapping (6 tools); 3) miRNA Target Targets and Expression (21 tools); 4) Integrated miRNA Targets and Expression (13 tools); 5) miRNA Secondary Structure Prediction and Comparison (5 tools); 6) Network Searches and Analyses (8 tools); 7) Molecular Visualization (4 tools); and 8) Information Integration and Exploitation (1 tool).


A single gene target can be controlled by several miRNAs whereas a single miRNA can control several gene targets. Sophisticated bioinformatics resources have been developed to select the most relevant miRNAs to target diseases (Gallagher I J, et al. Genome medicine. 2010; Fujiki K, et al. BMC Biol. 2009; Okada Y, et al., J Androl. 2010; Hao T, et al., Mol Biosyst. 2012; Hao T, et al., Mol Biosyst. 2012). However, the results of these algorithms are acutely dependent on predefined parameters and the degree of convergence between these algorithms is rather limited. Therefore, there is a need to develop better performing bioinformatics tools with improved sensitivity, specificity and selectivity for the identification of miRNA/target relationships.


The interactions between miRNAs and their targets go beyond the original description of miRNAs as post-transcriptional regulators whose seed region of the driver strand (5′ bases 2-7) bind to complementary sequences in the 3′ UTR region of target mRNAs, usually resulting in translational repression or target degradation and gene silencing. The interactions can also involve various regions of the driver or passenger strands of the miRNAs as well as the 5′UTR, promoter, and coding regions of the mRNAs.


Upon analysis of the available data, it was decided to favor pathway-specific miRNAs which target multiple genes within one discrete signaling pathway, rather than universal miRNAs which are involved in many signaling pathways, functions or processes. Using 34 publicly available Internet tools predicting miRNA targets, specific human miRNAs were searched for that could potentially modulate several targets among the 83 thermogenic regulator molecules (which include 36 Transcription Factors) selected in Example 1.


Several paradigms were considered:


A) A One microRNA-Multiple mRNAs Pathway-Specific Paradigm.


A1. First Example of One microRNA-Multiple mRNAs Pathway-Specific Paradigm The methylation state of histones can be dynamically regulated by histone methyltransferases and demethylases. The human lysine (K)-specific demethylase 3A (KDM3A) is critically important in regulating the expression of metabolic genes. Its loss of function results in obesity and hyperlipidemia in mice. Beta-adrenergic stimulation of KDM3A binding to the PPAR responsive element (PPRE) of the UCP1 gene not only decreases levels of H3K9me2 (dimethylation of lysine 9 of histone H3) at the PPRE, but also facilitates the recruitment of PPARG and RXRA and their co-activators PPARGC1A, CREBBP and NCOA1 to the PPRE. The interrogation of the TargetScan Human database (release 6.0) revealed that the human KDM3A 3′ UTR 29-35 region is a conserved target for hsa-miR-22. Several other miRNA Targets Databases also confirmed this match between hsa-miR-22 and KDM3A. Therefore, increased production of the demethylase KDM3A by an hsa-miR-22 antagomir should lead to demethylation of the UCP1 gene promoter region, thus facilitating binding of several regulatory elements and increased UCP1 production.


In addition, we used the 34 miRNA Targets and Expression tools (Table 4) to identify the mRNA targets of a given miRNA.










TABLE 4








Bioinformatics tools used to select miRNAs and their targets:


































1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23







DIANA-micro T, 3.0

1
X

























DIANA-mirExTra
2

X

























GOmir

3


X




















4


GSEA MSD v3.0
4



X























MAMI

5




X


















5



MicroCasm Targets

6





X





















Microinspector

7






X




















microRNA.org

8







X



















mimiRNA

9








X














4



MMIA

10









X













3



miRDB

11










X
















mirDIP

12











X











7



miRGator V3

13












X










9



miRecords

14













X









8



MIRNA Distiller

15














X








3



MiRonTop

16















X







4



miRror

17
















X






9



miRSystem

18

















X





8



miRTarBAse

19


















X







miRTarHuman
20



















X






MiRvesigator
21




















X


8



MiRWalk

22





















X





mirZ

23






















X



MultiMiTax
24


























PhenomiR
25



























PicTar

26



























PITA

27


























RepTax
28



























RNA22

29



























RNAhybrid

30



























StarBase

31























5


Sylameg
32



























TarBase 6.0

33



























TargetScanHuman

34




























6




6
1
12


4


2




1



1











Bioinformatics tools used to select miRNAs and their targets:

























23
24
25
26
27
28
29
30
31
32
33
34








DIANA-micro T, 3.0

1
















DIANA-mirExTra
2

















GOmir

3












4



GSEA MSD v3.0
4

















MAMI

5












5




MicroCasm Targets

6

















Microinspector

7

















microRNA.org

8

















mimiRNA

9












4




MMIA

10












3




miRDB

11

















mirDIP

12












7




miRGator v3

13












9




miRecords

14












8




MIRNA Distiller

15












3




MiRonTop

16












4




miRror

17












9




miRSystem

18












8



miRTarBAse
19
















miRTarHuman
20
















MiRvesigator
21

















MiRWalk

22












8




mirZ

23
X















MultiMiTax
24

X














PhenomiR
25


X














PicTar

26



X













PITA

27




X











RepTax
28





X











RNA22

29






X










RNAhybrid

30







X









StarBase

31








X



5



Sylameg
32









X







TarBase 6.0

33










X






TargetScanHuman

34











X






1


12
8

7
3


2
13






Meta Tools in bold (13)


Engines called by Meta Tools in italics (13)






Applying the above in silico strategy, it was discovered that hsa-miR-22-3p and hsa-miR-22-5p interact respectively with a total of 42 and 8 of the chosen 83 thermogenic targets. This data is set forth in Table 5.









TABLE 5





Thermogenic regulators identified as predicted and/or


validated targets for hsa-miR-22:

















hsa-miR-22-3p



ALDH1A1



BMP4



BMP7



CEBPA



CEBPD



CIDEC



CREB1



CREBBP



CTNNB1



DIO2



FGF19



FGF21



FOXC2



INSR



KDM3A



KLF11



LRP6



MAPK14



NCOA1



NPPA



NRF1



NRIP1



PPARA



PPARGC1A



PPARGC1B



PRDM16



PRDX3



PRKAA1



PRKACA



PRKACB



PRKAR1A



RUNX1T1



RUNX2



SIRT1



SREBF1



SREBF2



STAT5A



TNFRSF1A



TRPM8



UCP2



WNT10B



WNT5A



hsa-miR-22-5p



BMP7



DIO2



FNDC5



IKBKE



INSR



MAPK14



NR1H3



PPARA










A2. Other Examples of One microRNA-Multiple mRNAs Pathway-Specific Paradigm


We also utilized the 34 miRNA Targets and Expression tools (Table 4) to look for potential relations between any of the adipocyte 536 miRNAs (Table 1) and the 83 thermogenic targets (Table 2).


It appears that many adipocyte miRNAs interact (prediction and/or validation) with at least one of the 83 thermogenic targets. For example, miR-17-3p and hsa-miR-17-5p interact respectively with a total of 23 and 65 of the chosen thermogenic 83 targets. This data is set forth in Table 6.









TABLE 6





Thermogenic regulators identified as predicted and/or


validated targets for hsa-miR-17:

















hsa-miR-17-3p



ATG7



BMP2



BMP4



CEBPB



CREB1



CTBP2



E2F4



FGF19



IKBKE



IRS1



KLF11



MAPK14



NCOA3



PLAC8



PPARA



PPARD



PRDM16



RB1



RUNX1T1



STAT5A



TNFRSF1A



TWIST1



WNT10B



hsa-miR-17-5p



ALDH1A1



ATG7



BMP2



BMP4



BMP7



BMP8b



CEBPA



CEBPB



CEBPD



CIDEC



COX7A1



CRAT



CREB1



CREB2



CTNNB1



CTBP1



CTBP2



DIO2



ELOVL3



FGF19



FGF21



FNDC5



FOXC2



GDF3



HCRT



HOXC8



IKBKE



INSR



IRS1



KLF11



MAPK14



MED13



NCOA1



NCOA2



NCOA3



NPPA



NR1H3



NR4A3



NRF1



NRIP1



PLAC8



PPARA



PPARD



PPARG



PPARGC1A



PPARGC1B



PRDX3



PRKAA1



PRKAA2



PRKACA



PRKACB



PRKAR1A



RB1



RPS6KB1



RUNX1T1



RUNX2



SIRT1



SIRT3



SREBF1



STAT5A



TNFRSF1A



TWIST1



UCP1



UCP3



WNT5A










Once the lists of miRNAs of interest and their mRNA targets were produced, the following filters were applied to refine the results:


Parameters

1 Expression of miRNAs in tissue/cell of interest


2 Number of algorithms predicting one miRNA for a given gene or set of genes


3 Score/percent from algorithms


4 Number of preferred genes targeted by one miRNA


5 Number of binding sites in a target gene for one miRNA


6 Number of binding sites in a target gene for several miRNAs


7 Over-representation of one miRNA seed complementary sequence among target genes (miRvestigator)


8 Validated miRNA-mRNA target couples


9 Genomic location of miRNA binding site (5′UTR-Promoter-CDS-3′UTR)


10 Intronic location of miRNA


11 Clustering of miRNAs


12 Abundance of miRNA in specific tissue/cell of interest


Applying the above parameters, it was discovered that 229 miRNAs met at least two of these criteria. This data is set forth in Table 7.









TABLE 7





Ranking of miRNAs according to decreasing number of


selection criteria:

















hsa-miR-20b-5p



hsa-miR-27b-3p



hsa-miR-103a-3p



hsa-miR-22-3p



hsa-miR-34a-5p



hsa-miR-130b-3p



hsa-miR-132-3p



hsa-miR-181b-5p



hsa-miR-211-5p



hsa-miR-148b-3p



hsa-miR-17-5p



hsa-miR-182-5p



hsa-miR-20a-5p



hsa-miR-27a-3p



hsa-miR-301a-3p



hsa-miR-204-5p



hsa-miR-143-3p



hsa-miR-1



hsa-miR-9-5p



hsa-miR-30a-5p



hsa-miR-138-5p



hsa-miR-217



hsa-miR-19b-3p



hsa-miR-382-5p



hsa-miR-106a-5p



hsa-miR-107



hsa-miR-135a-5p



hsa-miR-93-5p



hsa-miR-21-5p



hsa-miR-515-3p



hsa-miR-106b-3p



hsa-miR-125a-5p



hsa-miR-148a-3p



hsa-miR-155-5p



hsa-miR-181a-5p



hsa-miR-519d



hsa-miR-96-5p



hsa-miR-212-3p



hsa-miR-29a-3p



hsa-miR-98-5p



hsa-let-7c



hsa-let-7d-5p



hsa-miR-141-3p



hsa-miR-183-5p



hsa-miR-19a-3p



hsa-miR-196a-5p



hsa-miR-30b-5p



hsa-miR-378a-3p



hsa-miR-302c-5p



hsa-miR-30e-5p



hsa-miR-130a-3p



hsa-let-7e-5p



hsa-miR-216a-5p



hsa-miR-450a-5p



hsa-let-7d-3p



hsa-miR-26b-5p



hsa-miR-181c-5p



hsa-miR-186-5p



hsa-miR-519c-3p



hsa-let-7b-5p



hsa-miR-10b-5p



hsa-miR-125b-5p



hsa-miR-134



hsa-miR-137



hsa-miR-150-5p



hsa-miR-153



hsa-miR-15b-5p



hsa-miR-16-5p



hsa-miR-195-5p



hsa-miR-196b-5p



hsa-miR-23a-3p



hsa-miR-29c-3p



hsa-miR-373-3p



hsa-miR-7-5p



hsa-miR-214-3p



hsa-miR-421



hsa-miR-15a-5p



hsa-miR-193b-3p



hsa-miR-194-5p



hsa-miR-223-3p



hsa-miR-30d-5p



hsa-miR-424-5p



hsa-miR-454-3p



hsa-miR-545-3p



hsa-miR-485-5p



hsa-miR-335-5p



hsa-miR-133a



hsa-miR-222-3p



hsa-miR-494



hsa-miR-498



hsa-miR-513a-5p



hsa-miR-92a-3p



hsa-miR-495-3p



hsa-miR-503-5p



hsa-miR-539-5p



hsa-miR-16-2-3p



hsa-miR-302b-5p



hsa-miR-425-3p



hsa-miR-99a-3p



hsa-let-7a-3p



hsa-miR-126-3p



hsa-miR-20a-3p



hsa-miR-499a-5p



hsa-let-7g-5p



hsa-miR-152



hsa-miR-26a-5p



hsa-miR-124-3p



hsa-miR-203a



hsa-miR-24-3p



hsa-miR-301b



hsa-miR-590-3p



hsa-miR-1179



hsa-miR-325



hsa-miR-552



hsa-miR-185-5p



hsa-miR-455-3p



hsa-miR-583



hsa-miR-122-5p



hsa-miR-1305



hsa-miR-139-5p



hsa-miR-146a-5p



hsa-miR-18a-5p



hsa-miR-18b-5p



hsa-miR-199b-5p



hsa-miR-340-5p



hsa-miR-34c-5p



hsa-miR-423-3p



hsa-miR-489



hsa-miR-520f



hsa-miR-520g



hsa-miR-605



hsa-miR-668



hsa-let-7a-5p



hsa-let-7f-5p



hsa-miR-10a-3p



hsa-miR-135b-5p



hsa-miR-144-3p



hsa-miR-181d



hsa-miR-200b-3p



hsa-miR-200c-3p



hsa-miR-218-5p



hsa-miR-23b-3p



hsa-miR-25-3p



hsa-miR-29b-3p



hsa-miR-383



hsa-miR-202-3p



hsa-miR-381-3p



hsa-miR-377-3p



hsa-miR-452-5p



hsa-miR-501-3p



hsa-miR-514a-3p



hsa-miR-654-3p



hsa-let-7b-3p



hsa-miR-125a-3p



hsa-miR-133b



hsa-miR-192-5p



hsa-miR-199a-3p



hsa-miR-30c-5p



hsa-miR-335-3p



hsa-miR-374a-5p



hsa-miR-410



hsa-miR-429



hsa-miR-497-5p



hsa-miR-513a-3p



hsa-miR-542-3p



hsa-miR-653



hsa-miR-122-3p



hsa-miR-101-5p



hsa-miR-1178-3p



hsa-miR-191-5p



hsa-miR-214-5p



hsa-miR-302d-5p



hsa-miR-572



hsa-miR-574-3p



hsa-miR-26a-2-3p



hsa-miR-611



hsa-let-7f-1-3p



hsa-let-7i-3p



hsa-miR-100-5p



hsa-miR-106b-5p



hsa-miR-132-5p



hsa-miR-135b-3p



hsa-miR-136-3p



hsa-miR-150-3p



hsa-miR-154-3p



hsa-miR-15a-3p



hsa-miR-15b-3p



hsa-miR-16-1-3p



hsa-miR-181a-2-3p



hsa-miR-181c-3p



hsa-miR-186-3p



hsa-miR-195-3p



hsa-miR-20b-3p



hsa-miR-223-5p



hsa-miR-224-3p



hsa-miR-24-1-5p



hsa-miR-24-2-5p



hsa-miR-27a-5p



hsa-miR-27b-5p



hsa-miR-29b-1-5p



hsa-miR-302a-5p



hsa-miR-3065-5p



hsa-miR-30d-3p



hsa-miR-34a-3p



hsa-miR-371a-3p



hsa-miR-373-5p



hsa-miR-374a-3p



hsa-miR-376a-5p



hsa-miR-378a-5p



hsa-miR-424-3p



hsa-miR-451a



hsa-miR-452-3p



hsa-miR-487b



hsa-miR-493-5p



hsa-miR-500a-3p



hsa-miR-502-3p



hsa-miR-516b-3p



hsa-miR-518e-3p



hsa-miR-518f-3p



hsa-miR-519a-5p



hsa-miR-519b-5p



hsa-miR-521



hsa-miR-523-5p



hsa-miR-545-5p



hsa-miR-585



hsa-miR-7-2-3p



hsa-miR-93-3p



hsa-miR-96-3p



hsa-miR-99b-3p











B) A Multiple microRNAs-One mRNA Paradigm.


B1. One Exemplary Multiple miRNAs-One mRNA Paradigm Involves UCP1.


In adipocytes the key thermogenic regulator ultimately is UCP1 (also named thermogenin) and, thus, all thermogenic regulators must ultimately impact UCP1 activity. UCP1 is a mitochondrial transporter protein that creates proton leaks across the inner mitochondrial membrane, thus uncoupling oxidative phosphorylation from ATP synthesis. As a result, energy is dissipated in the form of heat (adaptive thermogenesis) (see FIG. 5) Lowell et al., Nature (2000); Friedman et al., Bioinformatics (2010); Hsu et al., Nucleic acids research (2011); Rieger et al., Frontiers in Genetics (2011)).


UCP1 biosynthesis is mainly controlled at the transcription level. FIG. 6 depicts the transcriptional control of UCP1 by other exemplary thermogenic regulators. The promoter's region of the UCP1 gene contains many distinct regulatory sites, allowing a wide range of proteins to influence its transcription, both positively (see FIG. 7a) and negatively (see FIG. 7b).


Mendelian randomization is a method of using measured variation in genes of known function to examine the causal effect of a modifiable exposure on disease in non-experimental studies. Mendelian randomization can be thought of as a “natural” Randomized Clinical Trial.


Genetic polymorphism of the UCP1 gene, such as the -3826 A/G single nucleotide polymorphism in the promoter in exon 2 of UCP1, has been reported to be associated with reduced mRNA expression and obesity. Healthy children with the G/G genotype had a lower capacity for thermogenesis in response to a high-fat meal and acute cold exposure. The same -3826 A/G UCP1 genetic polymorphism diminishes resting energy expenditure and thermoregulatory sympathetic nervous system activity in young females. In a study of 367 Korean women, the G allele of -3826A>G and the C allele of -412A>C were significantly associated with larger areas of abdominal subcutaneous fat in a dominant model (p<0.001 and p<0.0004, respectively); combining them together (ht2[GC]) enhanced this significance (p<0.00005). A study of 100 severe obese adults (BMI>40 kg/m2) and 100 normal-weight control subjects (BMI range=19-24.9 kg/m2) identified 7 variations in the promoter region, 4 in the intronic region and 4 in the exonic region of the UCP1 gene. These variations could contribute to the development of obesity, particularly, g.-451C>T, g.940G>A, and g.IVS4-208T>G could represent “thrifty” factors that promote energy storage. Finally, two polymorphisms (A-3826G and C-3740A), located in the upstream promoter region of the UCP1 gene affect gene expression and are correlated with human longevity.


All aforementioned information supports targeting UCP1 expression and activity as a meaningful way to alter adaptive thermogenesis and consequently treat human obesity. Many strategies could be implemented to achieve this goal, however, the one employed in the methods of the invention uses miRNA agents to modulate simultaneously several elements within the thermogenic pathways to increase UCP1 synthesis and activity. Both direct and indirect interactions between miRNAs and the UCP1 gene are considered. Direct interaction means the direct binding of miRNAs to the various regions of the UCP1 gene, resulting in alterations of the transcription, translation, stability and/or degradation of the UCP1 mRNA. Indirect interaction means that miRNAs alter the transcription, translation, stability and/or degradation of thermogenic mRNAs, whose expressed proteins alter the transcription of the UCP1 gene. Furthermore, indirect interaction means that miRNAs alter the transcription, translation, stability and/or degradation of other miRNAs that modify the transcription of the UCP1 gene.


The promoter region of the human UCP1 gene (gi|237858805|ref|NG012139.1| Homo sapiens uncoupling protein 1 (mitochondrial, proton carrier) (UCP1), RefSeqGene on chromosome 4) is particularly rich is regulatory element motifs (Table 8).









TABLE 8







UCP1 Gene Regulatory Elements:












Name of regulatory


Nucleotide



element
Sequence
Number
Location





 1
BRE1 (Brown Fat Response
CCTCTCTGCTTCTTCT
 1
 1,129 to 1,144



Element 1)








 2
BRE2 (Brown Fat Response
CTCCTTGGAA
 1
 1,269 to 1,278



Element 2)








 3
CRE2
ATTCTTTA
 4
 1,121 to 1,128;






 3,631 to 3,638;






10,982 to 10,989;






15,881 to 15,888





 4
CREB
ACGTCA
 5
 1,082 to 1,087;






 1,345 to 1,350;






 1,348 to 1,343;






11,439 to 11,434;






13,831 to 13,836





 5
DR1
TTGCCCTTGCTCA
 1
 1,099 to 1,111





 6
DR4
ACGTCATAAAGGGTCA
 1
 1,082 to 1,097





 7
DR4 Type RARE
RGKTCANNNNRGKTCA
 1
 1,316 to 1,301





 8
ERE
GCTCATACTGACCT
 1
 1,107 to 1,120





 9
PRE
GTTAATGTGTTCT
 1
 1,009 to 1,021





10
RARE
TGACCACAGTTTGATCA
 1
   983->999





11
RXR
AGGTCA
12
 1,120 to 1,115;






 1,316 to 1,311;






 3,517 to 3,522;






 3,560 to 3,555;






 3,813 to 3,808;






 5,318 to 5,313;






 6,233 to 6,238;






 6,831 to 6,836;






 8,122 to 8,127;






 9,966 to 9,971;






11,339 to 11,334;






11,412 to 11,407





12
GC Box 1
CGCCC
 7
 4,593 to 4,589;






 4,615 to 4,619;






 4,615 to 4,619;






 4,747 to 4,751;






 4,765 to 4,769;






 5,914 to 5,910;






13,715 to 13,711





13
GC Box 2
GCGGG
 9
 4,463 to 4,459;






 4,585 to 4,589;






 4,593 to 4,597;






 4,639 to 4,643;






 4,883 to 4,887;






 5,176 to 5,172;






 5,929 to 5,933;






 5,940 to 5,944;






14,994 to 14,990





14
GT Box 1
CACCC
25
   194 to 190;






   452 to 448;






 1,184 to 1,188;






 1,803 to 1,807;






 2,428 to 2,424;






 3,037 to 3,041;






 3,330 to 3,334;






 4,137 to 4,141;






 4,566 to 4,562;






 4,599 to 4,595;






 4,869 to 4,865;






 5,104 to 5,108;






 5,461 to 5,457;






 6,237 to 6,241;






 6,293 to 6,289;






 8,096 to 8,092;






 8,198 to 8,194;






 9,649 to 9,645;






 9,912 to 9,908;






12,962 to 12,958;






13,136 to 13,132;






13,723 to 13,719;






14,404 to 14,400;






14,960 to 14,964;






15,576 to 15,572





15
GT Box 2
GTGGG
20
    25 to 21;






 1,805 to 1,801;






 1,809 to 1,805;






 2,119 to 2,123;






 3,854 to 3,850;






 4,310 to 4,314;






 4,339 to 4,343;






 4,765 to 4,761;






 4,867 to 4,871;






 6,291 to 6,295;






 7,554 to 7,558;






 8,280 to 8,284;






 8,681 to 8,685;






 9,615 to 9,619;






 9,689 to 9,693;






 9,906 to 9,910;






10,363 to 10,359;






13,074 to 13,070;






13,640 to 13,644;






13,941 to 13,945





16
CpG Methylation Island
CG
366
 4,519 to 5,258;






 5,639 to 6,694










FIG. 8A depicts the location of these various regulatory elements in reference to the UCP1 transcription start site at nucleotide position 5,001 of the 15,910 base pair human UCP-1 gene (FASTA accession number: >gi|237858805|ref|NG012139.1|Homo sapiens uncoupling protein 1 (mitochondrial, proton carrier) (UCP1), RefSeqGene on chromosome 4; NCBI Reference Sequence: NG012139.1).


Direct or indirect activation or repression of these regulatory elements by miRNAs will result in alterations of UCP1 gene expression and activity. Under normal conditions, the UCP1 gene expression and activity are repressed by a rich network of regulatory elements, in order to avoid energy wasting. Under stress, such as exposure to a cold environment, the expression of the UCP1 gene is upregulated, via various activators and repressors which are under the control of several miRNAs.


An initial survey of miRNAs targeting the human UCP1 3′UTR with several programs, including microRNA.org, was negative. However, other programs, including MicroCosm Targets, using the UCP1 Ensembl 1,462 base pair transcript ENST00000262999 as a target revealed binding sites for 27 miRNAs at 28 locations in UCP1 3′UTR as shown in Table 9.









TABLE 9







Binding sites for miRNAs in the 3′UTR of UCP1 (NCBI


Reference Sequence NG_012139.1) determined using


microCosm Targets:













From
To



Name
Sequence
bp
bp
Length





hsa-miR-21
AATGTAATGCAGATAAGCTA
14143
14162
20





hsa-miR-219-2-3p
ACATGTTTTAATTACAATTC
14217
14236
20





hsa-miR-22
GATTGGCAGCTT
14857
14868
12





hsa-miR-222a
GATTTTTAATGTTTAGAGTCCAG
14500
14522
23





hsa-miR-290-3p
TTTAGAGCTGGAGGGTACTT
14621
14640
20





hsa-miR-292-3p
TTTAGAGCTGGAGGGTACTT
14621
14640
20





hsa-miR-292-5p
GACAGAGGAACAGTTTGAG
14648
14666
19





hsa-miR-325
ATTTTGGCAGGATTGCTACTAG
14568
14589
22





hsa-miR-331-5p
TTTTGAGATCTATACCTGG
14383
14401
19





hsa-miR-362-5p
ATTTTAAGCTAAATCCAAGGATT
14838
14860
23





hsa-miR-367
TGACCATTTCTGGAGTGCAATT
14170
14191
22





hsa-miR-371-5p
ACAGTTTGAT
  988
  997
10





hsa-miR-371-5p
ACAGTTTGAG
14657
14666
10





hsa-miR-377
CTGGAGTGCAATTGTGTGA
14179
14197
19





hsa-miR-378
TTTTAATGTTTAGAGTCCAG
14503
14522
20





hsa-miR-382
TGATGACATCTCTAACAACTTC
14526
14547
22





hsa-miR-460
AGAAACTGAGTGAAATGCAG
14250
14269
20





hsa-miR-508-5p
TGACCATTTCTGGAGTG
14170
14186
17





hsa-miR-543
TACTCTGAATGTT
14478
14490
13





hsa-miR-549
TTAACCACAGTTGTCA
14321
14336
16





hsa-miR-643
CAAGTTCACTAGAATACAAG
14412
14431
20





hsa-miR-654-3p
AAGGTTACAGGCTGCCAGACAT
14880
14901
22





hsa-miR-664
GTGTGAATGAATG
14192
14204
13





hsa-miR-871
TAGGCATGAACCTACTCTGAATG
14466
14488
23





hsa-miR-883a-3p
AAACTGAGTGAAATGCAGTT
14252
14271
20





hsa-miR-883b-3p
AAACTGAGTGAAATGCAGTT
14252
14271
20





hsa-miR-888-3p
TTTATTAACCACAGTTGTCAGTT
14317
14339
23





hsa-miR-92b
GAGTGCAAT
14182
14190
 9









Other programs, such as miRWalk, miRGen, miRGator-miRanda, and DIANA microT, using the UCP1 Ensembl 1,462 base pair transcript (ENST00000262999), the UCP1 Ensembl 9,371 base pair gene sequence (ENSG00000109424) or the 15,910 base pair UCP1 sequence (NCBI Reference Sequence: NG012139.1) as targets, revealed binding sites for a total of 50 miRNAs at 69 locations in UCP1 3′UTR as shown in Table 10.









TABLE 10







Binding sites for miRNAs in the 3′UTR of UCP1


(NCBI Reference Sequence. NG_012139.1) according


to several programs:















From
To




Name
Sequence
bp
bp
Length





 1
hsa-miR-1179
AAGTATCCTTT
15346
15356
11





 2
hsa-miR-1302
ATGGGACACA
15021
15030
10





 3
hsa-miR-130b
TTATTTTCCCT
15161
15171
11





 4
hsa-miR-146a
TGACAACTGT
14327
14336
10






hsa-miR-146a
AGGGAACTGA
15231
15240
10






hsa-miR-146a
TGTGAACTGG
15679
15688
10





 5
hsa-miR-181c
AACCATAGT
15304
15312
 9





 6
hsa-miR-19b-2
ACTTTTGCGG
14991
15000
10





 7
hsa-miR-203
TTAAATGTT
15584
15592
 9





 8
hsa-miR-204-5p
TTCCTTTATC
14006
14015
10






hsa-miR-204-5p
TTCCTCTGTC
14648
14657
10





 9
hsa-miR-21-5p
TAGCTTATCT
14153
14162
10





10
hsa-miR-211-5p
TTCCCTATCTC
14779
14789
11





11
hsa-miR-214
CAGCAAGCA
15052
15060
 9





12
hsa-miR-22-3p
AAGCTGCCAA
14859
14868
10






hsa-miR-22-5p
AGTTCTTCACA
14203
14213
11





13
hsa-miR-26a-2-3p
CATTTTCTTG
13918
13927
10






hsa-miR-26a-2-3p
CCAATCCTTG
14853
14862
10






hsa-miR-26a-2-3p
CCTTTTCATG
15616
15625
10





14
hsa-miR-30b
GTAACCTTCC
14878
14887
10





15
hsa-miR-325
CAGAGTAGGT
14475
14484
10






hsa-miR-325
CCTTGTAGGC
15378
15387
10





16
hsa-miR-328
CTGTTCCTCT
14651
14660
10





17
hsa-miR-362-5p
ATCCTTGGAT
14850
14859
10





18
hsa-miR-367-3p
AATTGCACTC
14182
14191
10





19
hsa-miR-371a-3p
AAGTGCCTGC
15435
15444
10






hsa-miR-371a-5p
TCTCAAACTG
14658
14667
10





20
hsa-miR-378a-3p
ACTGGCCTTG
15816
15825
10





21
hsa-miR-382-3p
ATTCATTCAC
14194
14203
10





22
hsa-miR-382-5p
GAAGTTGTTAGAGAT
14533
14547
15





23
hsa-miR-383
AGATTAGAA
14545
14553
 9





24
hsa-miR-421
ATTAACTGAC
14333
14342
10






hsa-miR-421
CTCAAAAGAC
14380
14389
10





25
hsa-miR-422a
ACTGGCCTT
15817
15825
 9





26
hsa-miR-431
TGTCTGGCA
14892
14900
 9





27
hsa-miR-452
TTATCTGC
14151
14158
 8






hsa-miR-452
TCTTCTGC
14773
14780
 8






hsa-miR-452
ACATCTGC
15009
15016
 8





28
hsa-miR-455-3p
CAGTCCAT
13893
13900
 8






hsa-miR-455-5p
TGTGTGCCTT
15641
15650
10





29
hsa-miR-491-5p
AATGGGGAAG
14975
14984
10





30
hsa-miR-501-3p
ATGCATCAGG
15547
15556
10





31
hsa-miR-504
AGACCCTGT
15325
15333
 9





32
hsa-miR-508-5p
TATTCTAGTGAACTTGACTCTTA
14405
14427
23





33
hsa-miR-512-5p
CACTCAG
14255
14261
 7





34
hsa-miR-514a-3p
TTGACTCTT
14406
14414
 9





35
hsa-miR-515-3p
GACTGCCTT
15539
15547
 9






hsa-miR-515-3p
GTGTGCCTT
15641
15649
 9





36
hsa-miR-517a-3p
ATGGTGCATT
15650
15659
10





37
hsa-miR-545
CAGCAAGCACT
15050
15060
11





38
hsa-miR-549
TGACAACTGT
14327
14336
10





39
hsa-miR-552
CACAGGTGA
15130
15138
 9





40
hsa-miR-616-5p
ACTCTAAAC
14510
14518
 9





41
hsa-miR-620
ATGAATATAG
14560
14569
10





42
hsa-miR-643
ACTGGTATGT
13933
13942
10






hsa-miR-643
TCTTGTATTC
14423
14432
10






hsa-miR-643
CCTTGTAGGC
15378
15387
10






hsa-miR-643
ACATGCATGC
15553
15562
10





43
hsa-miR-651
TTAAAATAAG
13988
13997
10






hsa-miR-651
TTAGGTTAAA
13993
14002
10






hsa-miR-651
TCATGATAAG
15700
15709
10





44
hsa-miR-654-3p
TATCTCTTCT
14775
14784
10






hsa-miR-654-3p
TATGTATACT
15493
15502
10





45
hsa-miR-655
GTAATACAT
15593
15601
 9





46
hsa-miR-767-3p
CCTGCTCAT
14871
14879
 9





47
hsa-miR-888-3p
GACTGACTCC
15772
15781
10





48
hsa-miR-92b-3p
ATTGCACTCC
14181
14190
10





49
hsa-miR-941
CACCCAGGT
14396
14404
 9





50
hsa-miR-99a-3p
AAGCTGGCTC
15117
15126
10









Alignment of the sequence of the human UCP1 gene with several miRNA sequences yielded matches in the 5′UTR, the promoter region and the coding regions of the UCP1 gene. Interrogation of the publicly available Internet tools predicting miRNAs targeting the various regions of the UCP1 gene elicited several hits. Surprisingly, the overlap between these prediction tools was zero, as shown in FIG. 3.


Nevertheless, miRNA databases were screened using the alignment program Geneious. A total of 191 human microRNAs were found which have complementary 450 binding sites in the UCP1 gene sequence (Table 11). The length of the matches goes from 7 bases to 12 bases (e.g. hsa-miR-24-2-5p and hsa-miR-192-5p). The number of hits per miRNA varies from 1 to several (e.g. 9 for hsa-miR-19b2 (an abundant adipocyte miRNA), 14 for hsa-miR-26a-2-3p, 11 for hsa-miR-181c, and 12 for hsa-miR-620).









TABLE 11







miRNAs with predicted binding sites in the 


UCP1 gene sequence (NCBI Reference  


Sequence: NG_012139.1):













From
To



miRNA
Sequence
bp
bp
Length





hsa-let-7c
TAGAGTTTC
 5918
 5926
 9





hsa-let-7e
GGAGGTAGG
13283
13291
 9





hsa-let-7e
TGAAGTAGG
 7612
 7620
 9





hsa-let-7e
AGAGGTAGG
 3306
 3314
 9





hsa-let-7i-3p
CTGTGCAAG
 3588
 3596
 9





hsa-miR-17
CAAAGTGCT
12200
12208
 9





hsa-miR-17
CAAAGTGCT
 9931
 9939
 9





hsa-miR-17
CAAAGTGCT
  218
  226
 9





hsa-miR-19a
TGTGCAAAT
 3916
 3924
 9





hsa-miR-19a
TGTGCAAAT
  834
  842
 9





hsa-miR-19b-2
ACTTTTGCGG
14991
15000
10





hsa-miR-19b-2
AGTTTTACAA
11998
12007
10





hsa-miR-19b-2
AGTTTTGTAT
10023
10032
10





hsa-miR-19b-2
AGTCTTGAAG
 9399
 9408
10





hsa-miR-19b-2
AGGTTTGTAG
 7758
 7767
10





hsa-miR-19b-2
AGTATTGAAG
 7159
 7168
10





hsa-miR-19b-2
AGGCTTGCAG
 3546
 3555
10





hsa-miR-19b-2
AATTTGGCAG
  529
  538
10





hsa-miR-19b-2
AGTTTTGGAA
  312
  321
10





hsa-miR-20b
CAAAGTGCT
12200
12208
 9





hsa-miR-20b
CAAAGTGCT
 9931
 9939
 9





hsa-miR-20b
CAAAGTGCT
  218
  226
 9





hsa-miR-21-5p
TAGCTTATCT
14153
14162
10





hsa-miR-22-3p
AAGCTGCCAA
14859
14868
10





hsa-miR-22-3p
AAGCTTCCAG
 1482
 1491
10





hsa-miR-22-5p
AGTTCTTCACA
14203
14213
11





hsa-miR-22-5p
AATTCTTCAGG
 8032
 8042
11





hsa-miR-22-5p
GGTTCTTCAGC
 5389
 5399
11





hsa-miR-24-2-5p
TGCCTACTGGCC
 8651
 8662
12





hsa-miR-25-3p
CATTGCAC
11565
11572
 8





hsa-miR-25-5p
AGGCGGAG
 5963
 5970
 8





hsa-miR-26a-2-3p
CCTTTTCATG
15616
15625
10





hsa-miR-26a-2-3p
CCAATCCTTG
14853
14862
10





hsa-miR-26a-2-3p
CATTTTCTTG
13918
13927
10





hsa-miR-26a-2-3p
CCTACTCTTC
13505
13514
10





hsa-miR-26a-2-3p
ACGATTCTTG
13192
13201
10





hsa-miR-26a-2-3p
TCTATTCTTT
12883
12892
10





hsa-miR-26a-2-3p
CATATTTTTG
10197
10206
10





hsa-miR-26a-2-3p
GCTAGTCTTG
 9978
 9987
10





hsa-miR-26a-2-3p
CATATTTTTG
 9890
 9899
10





hsa-miR-26a-2-3p
CCTTTTCTTT
 6631
 6640
10





hsa-miR-26a-2-3p
CCCATTCTCG
 4709
 4718
10





hsa-miR-26a-2-3p
TTTATTCTTG
 3893
 3902
10





hsa-miR-26a-2-3p
CCTTTACTTG
 1885
 1894
10





hsa-miR-26a-2-3p
GCGATTCTTG
  376
  385
10





hsa-miR-27-5p
AGAGCTTAGG
 2949
 2958
10





hsa-miR-30b
GTAACCTTCC
14878
14887
10





hsa-miR-30b
GTAACCATCA
12991
13000
10





hsa-miR-30b
GTAATCATAC
12831
12840
10





hsa-miR-30b
GTCAACATCA
11401
11410
10





hsa-miR-30b
GTAAACATAA
 9365
 9374
10





hsa-miR-30b
GTACTCATCC
 9016
 9025
10





hsa-miR-30b
CTATACATCC
 8586
 8595
10





hsa-miR-30b
CTAAACATCT
 7495
 7504
10





hsa-miR-31
GGCTATGCC
 7712
 7720
 9





hsa-miR-32
ATTGCACA
11564
11571
 8





hsa-miR-92b
ATTGCACTCC
14181
14190
10





hsa-miR-92b
ATTGCACTAG
11282
11291
10





hsa-miR-93
CAAAGTGCTG
12199
12208
10





hsa-miR-93
CAAAGTGCTG
  217
  226
10





hsa-miR-93-3p
ACTCCTGGGCT
12356
12366
11





hsa-miR-93-3p
ACTGATAAGCT
11055
11065
11





hsa-miR-93-3p
ACTCCTGACCT
 9966
 9976
11





hsa-miR-96-3p
AATCATGTGCC
 8659
 8669
11





hsa-miR-99a-3p
AAGCTGGCTC
15117
15126
10





hsa-miR-99a-3p
AAACTCTTTC
13344
13353
10





hsa-miR-99a-3p
AATCTTGTTC
11952
11961
10





hsa-miR-99a-3p
AAGCTCCTTT
11050
11059
10





hsa-miR-99a-3p
AAGCTCCTTT
 8099
 8108
10





hsa-miR-99a-3p
AAGCTCTGTC
 7523
 7532
10





hsa-miR-99b-3p
CAACCTCGAG
13666
13675
10





hsa-miR-99b-3p
CGAGCTCCTG
13660
13669
10





hsa-miR-99b-3p
GAAGCTTGTG
 6436
 6445
10





hsa-miR-99b-3p
CAAACTCCTG
  257
  266
10





hsa-miR-100
TCCAGTAGAT
11866
11875
10





hsa-miR-100
ACGCGCAGAT
 5634
 5643
10





hsa-miR-106b-5p
CAAAGTGCTG
12199
12208
10





hsa-miR-106b-5p
CAAAGTGCTG
  217
  226
10





hsa-miR-126-3P
TCATACAGT
12828
12836
 9





hsa-miR-126-3P
TTGTACTGT
11542
11550
 9





hsa-miR-126-3P
TGGTCCCGT
 7922
 7930
 9





hsa-miR-126-3P
TCATACAGT
  932
  940
 9





hsa-miR-130b
TTATTTTCCCT
15161
15171
11





hsa-miR-130b
CTCTTTTCAGT
 9670
 9680
11





hsa-miR-130b
CTCTCTTCACT
 8977
 8987
11





hsa-miR-130b
CTCTTTTTCCC
 8444
 8454
11





hsa-miR-130b
CTTTTTCCCCT
 6624
 6634
11





hsa-miR-130b
CTATTTTCCGT
 5742
 5752
11





hsa-miR-130b
TTCCTTTCCCT
 5007
 5017
11





hsa-miR-130b
CTCTTTGCCCC
 1845
 1855
11





hsa-miR-130b
CTCCTTTCCTT
 1033
 1043
11





hsa-miR-133a-1
TTTGGTGCCC
 7393
 7402
10





hsa-miR-140-3p
TACCACAG
 5893
 5900
 8





hsa-miR-141
TAACACTG
 5852
 5859
 8





hsa-miR-143
GGTGCAGTG
 4132
 4140
 9





hsa-miR-143-3p
TGAGATGAGG
13727
13736
10





hsa-miR-143-3p
TGAGATGGAG
10172
10181
10





hsa-miR-143-3p
TTAGATGAAG
 9572
 9581
10





hsa-miR-144-3p
TACAGTATT
12825
12833
 9





hsa-miR-144-3p
TACAATATA
 8859
 8867
 9





hsa-miR-144-3p
GACAGTATA
 1491
 1499
 9





hsa-miR-146a
CCTCTGAAA
 3499
 3507
 9





hsa-miR-146a
TGTGAACTGG
15679
15688
10





hsa-miR-146a
AGGGAACTGA
15231
15240
10





hsa-miR-146a
TGACAACTGT
14327
14336
10





hsa-miR-146a
TAAGAACTAA
 8935
 8944
10





hsa-miR-146a
TTAGAACAGA
 7908
 7917
10





hsa-miR-146a
TGAGAAGTGC
 6926
 6935
10





hsa-miR-146a
TGAAAACTTA
 3883
 3892
10





hsa-miR-146a
ACAGAACTGA
 2259
 2268
10





hsa-miR-146a
TGAGACCAGA
 2235
 2244
10





hsa-miR-146a
TGAGAAATAA
 1614
 1623
10





hsa-miR-147
TGTGTGGATAA
 7223
 7233
11





hsa-miR-147
TTTGTGCAAAT
 3916
 3926
11





hsa-miR-154
AATCATACA
12830
12838
 9





hsa-miR-154
AATCATACA
  934
  942
 9





hsa-miR-181c
AACCATAGT
15304
15312
 9





hsa-miR-181c
AACCAAAGA
13244
13252
 9





hsa-miR-181c
AACCATCAC
12990
12998
 9





hsa-miR-181c
ATCCAGCGA
11466
11474
 9





hsa-miR-181c
AAACATCTA
 7494
 7502
 9





hsa-miR-181c
AAAAATCGA
 6201
 6209
 9





hsa-miR-181c
AACCCCCGA
 5540
 5548
 9





hsa-miR-181c
AACCCTCTA
 3614
 3622
 9





hsa-miR-181c
AGCCAGCGA
 3471
 3479
 9





hsa-miR-181c
AACCATAGG
 2801
 2809
 9





hsa-miR-181c
AACCATCAC
  194
  202
 9





hsa-miR-185
TGGAGAGAA
 2979
 2987
 9





hsa-miR-192-5p
CTAACATATGAA
  114
  125
12





hsa-miR-194-1
TGTAACAGCA
 1895
 1904
10





hsa-miR-196a
AGGTAGTTT
12139
12147
 9





hsa-miR-199a-5p
CCCTGTGTTC
 5753
 5762
10





hsa-miR-200a
TAACACTG
 5852
 5859
 8





hsa-miR-200b
TAATAATGCC
11184
11193
10





hsa-miR-200b
GAATACTGCC
10340
10349
10





hsa-miR-200c-3p
TAATACTGT
12466
12474
 9





hsa-miR-200c-3p
TAATAATGC
11185
11193
 9





hsa-miR-200c-3p
GAATACTGC
10341
10349
 9





hsa-miR-200c-3p
TAATACAGC
 7594
 7602
 9





hsa-miR-203
TTAAATGTT
15584
15592
 9





hsa-miR-203
TGAAATTTT
 9782
 9790
 9





hsa-miR-203
TGAAAGGTT
 4495
 4503
 9





hsa-miR-204-5p
TTCCTCTGTC
14648
14657
10





hsa-miR-204-5p
TTCCTTTATC
14006
14015
10





hsa-miR-205
TCCTTCATT
10659
10667
 9





hsa-miR-208b
ATAAGAAGA
 9493
 9501
 9





hsa-miR-208b
ATAAGAAGA
 1770
 1778
 9





hsa-miR-211-5p
TTCCCTATCTC
14779
14789
11





hsa-miR-211-5p
TCCCCTCTGTC
 5238
 5248
11





hsa-miR-211-5p
TTCCCTTGCTC
 5002
 5012
11





hsa-miR-211-5p
TTCCCATTCTC
 4710
 4720
11





hsa-miR-214
CAGCAAGCA
15052
15060
 9





hsa-miR-214
CAGAAGGCA
 6918
 6926
 9





hsa-miR-214
CCGCAGGCA
 5935
 5943
 9





hsa-miR-214
CACCAGGCA
 2087
 2095
 9





hsa-miR-218
TGTGCTTGA
10385
10393
 9





hsa-miR-302c
TTTAACATG
 2932
 2940
 9





hsa-miR-324-5p
CGCGTCCCCT
 4876
 4885
10





hsa-miR-325
CCTTGTAGGC
15378
15387
10





hsa-miR-325
CAGAGTAGGT
14475
14484
10





hsa-miR-325
CCAAGTAGCT
10066
10075
10





hsa-miR-325
CCAAGTAGCT
  354
  363
10





hsa-miR-328
CTGTTCCTCT
14651
14660
10





hsa-miR-328
CTGGCTCCCT
 8215
 8224
10





hsa-miR-328
CTGGCCCTTC
 8062
 8071
10





hsa-miR-328
CTGGCACTCA
 6653
 6662
10





hsa-miR-328
CTGGCTTTCT
 6496
 6505
10





hsa-miR-328
CTGCCCCTCC
 6048
 6057
10





hsa-miR-328
CTGGGCCGCT
 4804
 4813
10





hsa-miR-328
CTGGAGCTCT
 4477
 4486
10





hsa-miR-328
CTGACCCTTT
 1089
 1098
10





hsa-miR-330
CAAAGCACAC
13845
13854
10





hsa-miR-330
CAAAGCACAC
11657
11666
10





hsa-miR-331-5p
CTAGGTGTGG
 7719
 7728
10





hsa-miR-361-3p
CCCCCAGG
 5112
 5119
 8





hsa-miR-362-5p
ATCCTTGGAT
14850
14859
10





hsa-miR-367-3p
AATTGCACTC
14182
14191
10





hsa-miR-367-3p
AAATGCACTT
  999
 1008
10





hsa-miR-369
AATAATACA
 2266
 2274
 9





hsa-miR-371a-3p
AAGTGCCTGC
15435
15444
10





hsa-miR-371a-3p
AAGAGCCGAC
11455
11464
10





hsa-miR-371a-3p
ACGTGCCACC
10044
10053
10





hsa-miR-371a-3p
AAGTGCCTCT
 7047
 7056
10





hsa-miR-371a-3p
AAGTGCACCC
 5457
 5466
10





hsa-miR-371a-5p
TCTCAAACTG
14658
14667
10





hsa-miR-372
AAAGTGCTG
12199
12207
 9





hsa-miR-372
AAAGTGCTG
  217
  225
 9





hsa-miR-374a-3p
TCATCAGATT
10606
10615
10





hsa-miR-377-3p
AGCACACAAA
13842
13851
10





hsa-miR-378a-3p
ACTGGCCTTG
15816
15825
10





hsa-miR-378a-3p
ACTGGTCTTG
11837
11846
10





hsa-miR-378a-5p
CTCCTGCCTC
12216
12225
10





hsa-miR-378a-5p
CTCCTGCCTC
10082
10091
10





hsa-miR-378a-5p
CTCCTGTCTC
 8207
 8216
10





hsa-miR-378a-5p
CTCCTAACTC
 7650
 7659
10





hsa-miR-382-3p
ATTCATTCAC
14194
14203
10





hsa-miR-383
AGATTAGAA
14545
14553
 9





hsa-miR-383
AGATTAGAA
 7912
 7920
 9





hsa-miR-383
AGAACAGAA
 5801
 5809
 9





hsa-miR-412
ACTTCACCT
  737
  745
 9





hsa-miR-421
CTCAAAAGAC
14380
14389
10





hsa-miR-421
ATTAACTGAC
14333
14342
10





hsa-miR-421
AACATCAGAC
11398
11407
10





hsa-miR-421
ATCAACTGAG
 3427
 3436
10





hsa-miR-421
ATCAACAGGT
 2443
 2452
10





hsa-miR-421
ATCAAAAGAT
 2333
 2342
10





hsa-miR-422a
ACTGGCCTT
15817
15825
 9





hsa-miR-422a
ACTGGTCTT
11838
11846
 9





hsa-miR-422a
ACTGGACGT
 5847
 5855
 9





hsa-miR-425
AGCGGGAAGGT
 5167
 5177
11





hsa-miR-431
TGTCTGGCA
14892
14900
 9





hsa-miR-431
TGTCTAGCA
 9218
 9226
 9





hsa-miR-432-5p
TCCTGGAGT
13624
13632
 9





hsa-miR-432-5p
TATTGGAGT
10785
10793
 9





hsa-miR-432-5p
TCTTAGAGT
 9263
 9271
 9





hsa-miR-432-5p
TCTTAGAGT
 6666
 6674
 9





hsa-miR-432-5p
TCTTGGAGC
 2180
 2188
 9





hsa-miR-452
ACATCTGC
15009
15016
 8





hsa-miR-452
TCTTCTGC
14773
14780
 8





hsa-miR-452
TTATCTGC
14151
14158
 8





hsa-miR-452
TCCTCTGC
13488
13495
 8





hsa-miR-452
TCATGTGC
 8660
 8667
 8





hsa-miR-452
TCATCTGG
 8221
 8228
 8





hsa-miR-452
TCATGTGC
 7945
 7952
 8





hsa-miR-452
ACATCTGC
 7508
 7515
 8





hsa-miR-452
CCATCTGC
 6787
 6794
 8





hsa-miR-452
TCATCCGC
 5912
 5919
 8





hsa-miR-452
TCATCTGT
 4053
 4060
 8





hsa-miR-452
TCATCTCC
 3667
 3674
 8





hsa-miR-452
TCCTCTGC
 3457
 3464
 8





hsa-miR-452
TCTTCTGC
 2210
 2217
 8





hsa-miR-455-3p
CAGTCCAT
13893
13900
 8





hsa-miR-455-5p
TGTGTGCCTT
15641
15650
10





hsa-miR-455-5p
TCTGTGCCTT
11203
11212
10





hsa-miR-455-5p
TATGTGCTTT
10522
10531
10





hsa-miR-483-3p
CACTCCTC
13536
13543
 8





hsa-miR-483-3p
CACTCCTC
10333
10340
 8





hsa-miR-483-3p
CACTCCTC
 6101
 6108
 8





hsa-miR-486-5p
TCATGTACT
 9835
 9843
 9





hsa-miR-486-5p
TCCTGTCCT
 6526
 6534
 9





hsa-miR-487a
AATCATACAG
12829
12838
10





hsa-miR-487a
AATCATACAG
  933
  942
10





hsa-miR-491-5p
AATGGGGAAG
14975
14984
10





hsa-miR-491-5p
AGAGGGGACC
12315
12324
10





hsa-miR-491-5p
AGTTGGGCAC
11555
11564
10





hsa-miR-491-5p
AGTAGAGAAC
 6909
 6918
10





hsa-miR-491-5p
GGTGAGGAAC
 6005
 6014
10





hsa-miR-491-5p
AGCGGGGCAC
 4455
 4464
10





hsa-miR-491-5p
AGTGGGAAAT
 3846
 3855
10





hsa-miR-496
TTAGTATTA
10948
10956
 9





hsa-miR-496
TGAGTATAA
10768
10776
 9





hsa-miR-496
TCAGTATTA
 9666
 9674
 9





hsa-miR-501-3p
ATGCATCAGG
15547
15556
10





hsa-miR-501-3p
ATCCACCGGG
11497
11506
10





hsa-miR-501-3p
AGGCACCAGG
 2089
 2098
10





hsa-miR-504
AGACCCTGT
15325
15333
 9





hsa-miR-504
AGCCCCTGG
12898
12906
 9





hsa-miR-504
AGTCCCTGG
10591
10599
 9





hsa-miR-504
AGACCCGGG
 4767
 4775
 9





hsa-miR-508-3p
TGATTATAGC
13565
13574
10





hsa-miR-508-3p
TGAGTGTAGC
 3231
 3240
10





hsa-miR-512-3p
CAGTGCTGTC
13211
13220
10





hsa-miR-512-3p
AAGTGCTCTC
 7688
 7697
10





hsa-miR-512-3p
AAGTGCTCTC
 3184
 3193
10





hsa-miR-512-5p
CACTCAG
14255
14261
 7





hsa-miR-512-5p
CACTCAG
13591
13597
 7





hsa-miR-512-5p
CACTCAG
12291
12297
 7





hsa-miR-512-5p
CACTCAG
 6652
 6658
 7





hsa-miR-512-5p
CACTCAG
 5067
 5073
 7





hsa-miR-514a-3p
TTGACTCTT
14406
14414
 9





hsa-miR-514a-3p
TTGACAGTT
13870
13878
 9





hsa-miR-514a-3p
TTAACACTT
11237
11245
 9





hsa-miR-514a-3p
ATGACACTT
10617
10625
 9





hsa-miR-515-3p
GTGTGCCTT
15641
15649
 9





hsa-miR-515-3p
GACTGCCTT
15539
15547
 9





hsa-miR-515-3p
GAGTGACTT
 1371
 1379
 9





hsa-miR-516a-3p
TGCTTCCT
10301
10308
 8





hsa-miR-517a-3p
ATGGTGCATT
15650
15659
10





hsa-miR-517a-3p
ATCTTGCTTC
10303
10312
10





hsa-miR-519b-3p
AAAGTGCAT
13782
13790
 9





hsa-miR-519e-3p
AAGTGCCTC
 7048
 7056
 9





hsa-miR-520a-5p
CTCCAGATGG
 6274
 6283
10





hsa-miR-545
CAGCAAGCACT
15050
15060
11





hsa-miR-545
CAGAACACATT
11639
11649
11





hsa-miR-545
CTGCAAACACT
 3450
 3460
11





hsa-miR-549
TGACAACTGT
14327
14336
10





hsa-miR-551b-3p
GCTACCCAT
 2411
 2419
 9





hsa-miR-552
CACAGGTGA
15130
15138
 9





hsa-miR-552
AACAGGTCA
11407
11415
 9





hsa-miR-552
AACATGTGA
 9513
 9521
 9





hsa-miR-552
AACAGGTTA
 2441
 2449
 9





hsa-miR-552
AACAGGTAA
 1569
 1577
 9





hsa-miR-583
AAAAGAGGA
 2921
 2929
 9





hsa-miR-583
CAAATAGGA
 2833
 2841
 9





hsa-miR-583
CAACGAGGA
 1824
 1832
 9





hsa-miR-583
CAAAGAAGA
 1139
 1147
 9





hsa-miR-593-3p
TGTCTCTGT
 8204
 8212
 9





hsa-miR-593-3p
TGGCTCTGC
 6852
 6860
 9





hsa-miR-593-3p
TGCCTCTGC
  231
  239
 9





hsa-miR-593-5p
AGGCACCAG
 2090
 2098
 9





hsa-miR-593-5p
AGGCACCAG
 2083
 2091
 9





hsa-miR-598
ACGTCATC
11432
11439
 8





hsa-miR-611
GCGAGGTCTC
 4779
 4788
10





hsa-miR-611
GAGAGGCCCC
 2121
 2130
10





hsa-miR-611
GAGAGGACCT
 1546
 1555
10





hsa-miR-616-5p
ACTCTAAAC
14510
14518
 9





hsa-miR-619
GACCTGGA
 5824
 5831
 8





hsa-miR-620
ATGAATATAG
14560
14569
10





hsa-miR-620
ATGGAAATAT
12111
12120
10





hsa-miR-620
TTGGATATAG
11026
11035
10





hsa-miR-620
GTGGAGATGG
10397
10406
10





hsa-miR-620
ATGGAGATCC
 6268
 6277
10





hsa-miR-620
ATGGAGGGAG
 5626
 5635
10





hsa-miR-620
CTGGAGAAAG
 3827
 3836
10





hsa-miR-620
ATCCAGATAG
 2959
 2968
10





hsa-miR-620
ATGGGGCTAG
 2843
 2852
10





hsa-miR-620
AGGGAGAGAG
 1551
 1560
10





hsa-miR-620
CAGGAGATAG
 1430
 1439
10





hsa-miR-620
TTGGAGAGAG
 1201
 1210
10





hsa-miR-623
TCCCTTGC
 8306
 8313
 8





hsa-miR-623
TCCCTTGC
 5004
 5011
 8





hsa-miR-631
CACCTGGCC
 9900
 9908
 9





hsa-miR-631
GACATGGCC
 8632
 8640
 9





hsa-miR-634
AACCAGCAC
 4520
 4528
 9





hsa-miR-636
TGTGCTTG
10386
10393
 8





hsa-miR-638
ACGGAGCGCG
 4905
 4914
10





hsa-miR-638
AGGGAGGGCG
 4615
 4624
10





hsa-miR-642a-5p
ATCCCTCTC
 8983
 8991
 9





hsa-miR-642a-5p
GTCCCTCCC
 4722
 4730
 9





hsa-miR-643
ACATGCATGC
15553
15562
10





hsa-miR-643
CCTTGTAGGC
15378
15387
10





hsa-miR-643
TCTTGTATTC
14423
14432
10





hsa-miR-643
ACTGGTATGT
13933
13942
10





hsa-miR-643
ACTTCTATTC
12886
12895
10





hsa-miR-643
ACTTTTCTGC
12044
12053
10





hsa-miR-643
GCTTGTAAGC
11698
11707
10





hsa-miR-643
AGTTGTATGT
10531
10540
10





hsa-miR-643
ACTTGGAAGC
 8105
 8114
10





hsa-miR-643
ACTTGTGTGG
 7227
 7236
10





hsa-miR-643
ACTTGTTTGA
 1880
 1889
10





hsa-miR-643
ACATGTTTGC
 1695
 1704
10





hsa-miR-650
AGGAGGCAC
 9647
 9655
 9





hsa-miR-650
AGAAGGCAG
 6917
 6925
 9





hsa-miR-650
AGGAGCCAG
 3474
 3482
 9





hsa-miR-650
ATGAGGCAG
 3052
 3060
 9





hsa-miR-651
TCATGATAAG
15700
15709
10





hsa-miR-651
TTAGGTTAAA
13993
14002
10





hsa-miR-651
TTAAAATAAG
13988
13997
10





hsa-miR-651
TTAGCATAAC
12788
12797
10





hsa-miR-651
TTATGATGAG
12617
12626
10





hsa-miR-651
TTTGGATGAG
11069
11078
10





hsa-miR-651
TGAGTATAAG
10767
10776
10





hsa-miR-651
TTACAATAAG
10546
10555
10





hsa-miR-651
TAAGGATAAA
 8265
 8274
10





hsa-miR-651
TGTGGATAAG
 7222
 7231
10





hsa-miR-651
GTAGGATAGG
 5553
 5562
10





hsa-miR-651
CTAGGAAAAG
 2823
 2832
10





hsa-miR-651
CTATGATAAG
 1635
 1644
10





hsa-miR-651
TAAGGATAGG
 1562
 1571
10





hsa-miR-654-3p
TATGTATACT
15493
15502
10





hsa-miR-654-3p
TATCTCTTCT
14775
14784
10





hsa-miR-654-3p
TCTATCTGCT
 8354
 8363
10





hsa-miR-654-3p
AATGTCTGGT
 6720
 6729
10





hsa-miR-654-3p
TATGTTTCCT
 6638
 6647
10





hsa-miR-654-3p
TTTTTCTGCT
 6586
 6595
10





hsa-miR-654-3p
TATGTCTTTT
 6534
 6543
10





hsa-miR-654-3p
TATATCTGCA
 6214
 6223
10





hsa-miR-654-3p
TATGTAGGCT
   97
  106
10





hsa-miR-655
GTAATACAT
15593
15601
 9





hsa-miR-655
ATAGTACAT
 4200
 4208
 9





hsa-miR-655
ATAAGACAT
 3642
 3650
 9





hsa-miR-655
ATAATACAG
 2265
 2273
 9





hsa-miR-655
ACAATACAT
 1757
 1765
 9





hsa-miR-656
AATATTATA
  657
  665
 9





hsa-miR-664-3p
TATTCATTT
 9385
 9393
 9





hsa-miR-765
TGGAGGA
 5020
 5026
 7





hsa-miR-766
CTCCAGCCCC
12901
12910
10





hsa-miR-766
CTCCAGCCCC
 5032
 5041
10





hsa-miR-767-3p
CCTGCTCAT
14871
14879
 9





hsa-miR-767-3p
TCTTCTCAT
 9155
 9163
 9





hsa-miR-875
CCTGGAAATA
 5820
 5829
10





hsa-miR-875
CCTAGAAACA
 5294
 5303
10





hsa-miR-876
TGGATTTCT
 6366
 6374
 9





hsa-miR-876
TGGATTTCT
  142
  150
 9





hsa-miR-888-3p
GACTGACTCC
15772
15781
10





hsa-miR-888-3p
GACTGACAGC
 9119
 9128
10





hsa-miR-890
TACTTGGAAG
 8106
 8115
10





hsa-miR-940
AAGGCAGTG
 1807
 1815
 9





hsa-miR-941
CACCCAGGT
14396
14404
 9





hsa-miR-941
CACCCTGCC
13715
13723
 9





hsa-miR-941
CACCCCTCT
13128
13136
 9





hsa-miR-941
CACTCAGCT
12289
12297
 9





hsa-miR-941
CTCCCGGGT
10102
10110
 9





hsa-miR-941
CAGCCTGCT
10034
10042
 9





hsa-miR-941
CACCCACCT
 9904
 9912
 9





hsa-miR-941
CACCTGGCC
 9900
 9908
 9





hsa-miR-941
CATCTGGCT
 8219
 8227
 9





hsa-miR-941
CACTCGACT
 8148
 8156
 9





hsa-miR-941
CTCCCAGCT
 6840
 6848
 9





hsa-miR-941
CTCACGGCT
 6031
 6039
 9





hsa-miR-941
CAGCCCGCT
 5928
 5936
 9





hsa-miR-941
CACCTGACT
 5510
 5518
 9





hsa-miR-941
CACGCCGCT
 5142
 5150
 9





hsa-miR-941
CTCCCTGCT
 3983
 3991
 9





hsa-miR-941
CACCAGGCA
 2087
 2095
 9





hsa-miR-941
CTCCCGGGT
  390
  398
 9





hsa-miR-941
CACCCAGCC
  186
  194
 9





hsa-miR-941-2
ATCCGACTGT
 9657
 9666
10





hsa-miR-941-2
TCCCTGCTGT
 8726
 8735
10





hsa-miR-941-2
TCCCAGCTGT
 6838
 6847
10





hsa-miR-941-2
AGCCCGCTGT
 5926
 5935
10





hsa-miR-941-2
ACCCGGGCGT
 4764
 4773
10





hsa-miR-1179
AAGTATCCTTT
15346
15356
11





hsa-miR-1179
ATGCATTCTGT
 3357
 3367
11





hsa-miR-1179
ATGCATTCTCT
 1854
 1864
11





hsa-miR-1207-5p
TGGCAGGG
11441
11448
 8





hsa-miR-1224-3p
CTCCACCTCC
  399
  408
10





hsa-miR-1228-3p
TCCCACCTG
13637
13645
 9





hsa-miR-1228-3p
TCACGCCTG
 4992
 5000
 9





hsa-miR-1231
GTGTCTGGC
12807
12815
 9





hsa-miR-1231
GTGTCCGGG
 4739
 4747
 9





hsa-miR-1245
AAGTGATCT
 8341
 8349
 9





hsa-miR-1245
AAGTGATCT
 2020
 2028
 9





hsa-miR-1249
CGCCCTTC
 5907
 5914
 8





hsa-miR-1251
ACTCTAGGT
12854
12862
 9





hsa-miR-1251
ACTCTATCT
 8357
 8365
 9





hsa-miR-1251
ACTCCAGCT
 4044
 4052
 9





hsa-miR-1251
AGTCTAGCT
  457
  465
 9





hsa-miR-1252
AGAGGGAAAT
 3819
 3828
10





hsa-miR-1252
GGAAGGAAAT
 1625
 1634
10





hsa-miR-1268
CGGGCGTGG
 4762
 4770
 9





hsa-miR-1270
CTGGAAATA
 5820
 5828
 9





hsa-miR-1270
CTGGAGATG
 5055
 5063
 9





hsa-miR-1270
CTGGAGAAA
 3828
 3836
 9





hsa-miR-1270
CAGGAGATA
 1431
 1439
 9





hsa-miR-1272
GATGATGA
10622
10629
 8





hsa-miR-1275
GTAGGGGAGA
 1189
 1198
10





hsa-miR-1302
ATGGGACACA
15021
15030
10





hsa-miR-1302
TTTGGATATA
11027
11036
10





hsa-miR-1302
TTAGGGCATA
 8421
 8430
10





hsa-miR-1302
TTGGAACAGA
 6076
 6085
10





hsa-miR-1302
CTGGGACTTA
 4819
 4828
10





hsa-miR-1302
GTGGGAAATA
 3845
 3854
10





hsa-miR-1302
TTGTGAGATA
 1944
 1953
10





hsa-miR-1302
CTGGGAAATA
  867
  876
10





hsa-miR-1324
TCAAGACAGA
 9426
 9435
10





hsa-miR-1827
TGAGGCAGT
 3051
 3059
 9





hsa-miR-1911-3p
CACCAGGCA
 2087
 2095
 9





hsa-miR-1915
CCCCAGGG
 5111
 5118
 8





hsa-miR-2909
TTTAGGGCC
 3728
 3736
 9









B2. Another Exemplary Multiple miRNAs-One mRNA Paradigm Involves UCP2.


UCP2 is a mitochondrial transporter protein expressed in WAT, skeletal muscle, pancreatic islets and the central nervous system. Like UCP1, it creates proton leaks across the inner mitochondrial membrane, thus uncoupling oxidative phosphorylation from ATP synthesis (adaptive thermogenesis, see FIG. 5) (Lowell et al., Nature (2000)).


Two recent meta-analyses report an association between polymorphisms in the promoter region of UCP2 and obesity (Liu et al., Gene (2013); Andersen et al., Int. J. Obes. (2013)). The first meta-analysis included 14 studies (7,647 cases and 11,322 controls) and concluded that there is a significant association of the A allele of the UCP2 -866G/A polymorphism with reduced risk of obesity, especially in European populations. In the second meta-analysis including 12,984 subjects, the common UCP2 -866G allele is associated with obesity. The same UCP2 -866G allele is associated with decreased insulin sensitivity in 17,636 Danish subjects. In a study, UCP2 mRNA levels in visceral fat were decreased in subjects with the GG phenotype (Esterbauer et al., Nat. Genet. (2001)). A trend toward a negative correlation between subcutaneous adipocyte UCP2 mRNA and percent body fat was found in another study (Wang et al., American Journal of Physiol. (2004)). This information supports targeting UCP2 expression and activity as a meaningful way to alter adaptive thermogenesis and consequently treat human obesity. Many strategies could be implemented to achieve this goal, however, the one employed in the methods of the invention uses miRNA agents to modulate simultaneously several elements within the thermogenic pathways to increase UCP2 synthesis and activity. Both direct and indirect interactions between miRNAs and the UCP2 gene are considered. Direct interaction means the direct binding of miRNAs to the various regions of the UCP2 gene, resulting in alterations of the transcription, translation, stability and/or degradation of the UCP1 mRNA. Indirect interaction means that miRNAs alter the transcription, translation, stability and/or degradation of thermogenic mRNAs, whose expressed proteins alter the transcription of the UCP2 gene. Furthermore, indirect interaction means that miRNAs alter the transcription, translation, stability and/or degradation of other miRNAs that modify the transcription of the UCP2 gene.


The promoter region of the human UCP2 gene (ENSG00000175567, Homo sapiens uncoupling protein 2 (mitochondrial, proton carrier) (UCP2), RefSeqGene on chromosome 11) is rich is regulatory element motifs (Table 12).









TABLE 12 







UCP2 Gene Regulatory Elements:












Name of






regulatory element
Sequence
Number
Nucleotide Location














1
RXR/T3RE
AGGTCA
8
1,074 to 1,079; 3,083 to 3,088;






3,239 to 3,244; 4,304 to 4,309;






6,965 to 6,970; 7,420 to 7,425;






7,677 to 7,682; 13,319 to 13,324





2
GC Box 1
CGCCC
16
2,605 to 2,609; 4,323 to 4,327;






4,523 to 4,527; 4,933 to 4,937;






4,959 to 4,963; 5,048 to 5,052;






5,066 to 5,070; 5,146 to 5,150;






5,155 to 5,159; 5,387 to 5,391;






5,483 to 5,487; 6,067 to 6,071;






8,523 to 8,527; 9,790 to 9,794;






10,819 to 10,823; 11,754 to 11,758





3
GC Box 2
GCGGG
5
4,263 to 4,267; 4,757 to 4,761;






4,860 to 4,864; 7,619 to 7,623;






11,262 to 11,266





4
GT Box 1
CACCC
30
1,421 to 1,425; 1,677 to 1,681;






1,761 to 1,765; 1,825 to 1,829;






1,833 to 1,837; 2,036 to 2,040;






3,003 to 3,007; 4,903 to 4,907;






4,947 to 4,951; 5,210 to 5,214;






6,204 to 6,208; 6,247 to 6,251;






6,469 to 6,473; 6,828 to 6,832;






7,681 to 7,685; 8,048 to 8,052;






8,437 to 8,441; 8,572 to 8,576;






8,599 to 8,603; 8,702 to 8,706;






11,077 to 11,081; 11,235 to 11,239;






12,006 to 12,010; 12,374 to 12,378;






13,475 to 13,479; 13,666 to 13,670;






13,687 to 13,691; 13,838 to 13,842;






14,410 to 14,414; 14,545 to 14,549





5
GT Box 2
GTGGG
26
123 to 127; 1,006 to 1,010;






2,105 to 2,109; 4,562 to 4,566;






5,793 to 5,797; 6,029 to 6,033;






6,034 to 6,038; 6,040 to 6,044;






6,150 to 6,154; 7,271 to 7,275;






7,392 to 7,396; 9,040 to 9,044;






9,697 to 9,701; 10,227 to 10,231;






10,238 to 10,242; 10,247 to 10,251;






11,817 to 11,821; 12,410 to 12,414;






12,414 to 12,418; 12,678 to 12,682;






13,047 to 13,051; 13,238 to 13,742;






13,743 to 13,747; 14,252 to 14,256;






14,969 to 14,973; 15,104 to 15,108





6
CpG Methylation
CG
295
4,071 to 5,212



Island










FIG. 8B depicts the location of these various regulatory elements in reference to the UCP2 transcription start site at nucleotide position 5,001 of the 15,174 base pair human UCP2 gene. Direct or indirect activation or repression of these regulatory elements by miRNAs will result in alterations of UCP2 gene expression and activity.


A survey of miRNAs targeting the human UCP2 3′UTR with several prediction programs, using the UCP2 Ensembl 2,113 base pair transcript ENST00000310473 as a target revealed binding sites for 161 miRNAs as shown in Table 13.









TABLE 13





miRNAs with predicted binding sites in the 3′UTR of


UCP2 transcript sequence:

















hsa-miR-1



hsa-miR-1-2



hsa-miR-101-1



hsa-miR-101-2



hsa-miR-103



hsa-miR-105-1



hsa-miR-105-2



hsa-miR-106b



hsa-miR-107



hsa-miR-1204



hsa-miR-1207



hsa-miR-1208



hsa-miR-1226



hsa-miR-1246



hsa-miR-1252



hsa-miR-1253



hsa-miR-1255a



hsa-miR-1255b-1



hsa-miR-1255b-2



hsa-miR-1260a



hsa-miR-1262



hsa-miR-1263



hsa-miR-1265



hsa-miR-1275



hsa-miR-1276



hsa-miR-1278



hsa-miR-1285-1



hsa-miR-1286



hsa-miR-1293



hsa-miR-1300



hsa-miR-1302-1



hsa-miR-1302-10



hsa-miR-1302-11



hsa-miR-1302-2



hsa-miR-1302-3



hsa-miR-1302-4



hsa-miR-1302-5



hsa-miR-1302-6



hsa-miR-1302-7



hsa-miR-1302-8



hsa-miR-1302-9



hsa-miR-1303



hsa-miR-130a



hsa-miR-1321



hsa-miR-138-1



hsa-miR-138-2



hsa-miR-149



hsa-miR-150-3p



hsa-miR-150-5p



hsa-miR-1538



hsa-miR-155



hsa-miR-15a



hsa-miR-15b



hsa-miR-16-1



hsa-miR-16-2



hsa-miR-184



hsa-miR-185-3p



hsa-miR-185-5p



hsa-miR-186



hsa-miR-188



hsa-miR-18a



hsa-miR-18b



hsa-miR-193a



hsa-miR-195



hsa-miR-199b



hsa-miR-200a



hsa-miR-203



hsa-miR-206



hsa-miR-214



hsa-miR-219-1



hsa-miR-219-2



hsa-miR-221-5p



hsa-miR-23b



hsa-miR-24-1



hsa-miR-24-2



hsa-miR-27b-5p



hsa-miR-28



hsa-miR-296-3p



hsa-miR-296-5p



hsa-miR-3064



hsa-miR-323a



hsa-miR-328



hsa-miR-330



hsa-miR-331



hsa-miR-338



hsa-miR-342



hsa-miR-3619



hsa-miR-370



hsa-miR-377



hsa-miR-378a



hsa-miR-383



hsa-miR-411



hsa-miR-412



hsa-miR-422a



hsa-miR-424



hsa-miR-425



hsa-miR-4291



hsa-miR-432-3p



hsa-miR-4505



hsa-miR-450b



hsa-miR-453



hsa-miR-4533



hsa-miR-4539



hsa-miR-4745



hsa-miR-4747



hsa-miR-485-5p



hsa-miR-486



hsa-miR-490



hsa-miR-491



hsa-miR-493



hsa-miR-497



hsa-miR-498



hsa-miR-503w



hsa-miR-505



hsa-miR-508-3p



hsa-miR-532



hsa-miR-539



hsa-miR-541



hsa-miR-5481



hsa-miR-552



hsa-miR-563



hsa-miR-575



hsa-miR-577



hsa-miR-580



hsa-miR-583



hsa-miR-584



hsa-miR-608



hsa-miR-612



hsa-miR-613



hsa-miR-615-3p



hsa-miR-618



hsa-miR-625



hsa-miR-626



hsa-miR-634



hsa-miR-635



hsa-miR-638



hsa-miR-645



hsa-miR-646



hsa-miR-647



hsa-miR-652



hsa-miR-654



hsa-miR-658



hsa-miR-663a



hsa-miR-663b



hsa-miR-664-5p



hsa-miR-675



hsa-miR-7-1



hsa-miR-7-2



hsa-miR-7-3



hsa-miR-708



hsa-miR-761



hsa-miR-765



hsa-miR-769



hsa-miR-770



hsa-miR-876



hsa-miR-877



hsa-miR-921



hsa-miR-922



hsa-miR-92a-1



hsa-miR-92a-2-5p



hsa-miR-92b










Moreover, a survey of miRNAs targeting the human UCP2 5′UTR with several prediction programs, using the human UCP2 gene (ENSG00000175567, 15,174 base pair (bp), including 5,000 bp 5′UTR as a target revealed binding sites for 54 miRNAs in UCP2 5′UTR as shown in Table 14.









TABLE 14 







miRNAs with predicted binding sites in the


5′UTR of UCP2 gene sequence:












MicroRNA
Seed Length
Start
Sequence
End
P value















hsa-let-7c
9
3052
UAGAGUUAC
3044
0.0374





hsa-let-7i-3p
9
3051
CUGCGCAAG
3043
0.0374





hsa-miR-1228-5p
9
3419
UGGGCGGGG
3411
0.0374





hsa-miR-1229-3p
9
3419
UCUCACCAC
3411
0.0374





hsa-miR-129-1-3p
10
2784
AGCCCUUACC
2775
0.0095





hsa-miR-1302
9
4219
UGGGACAUA
4211
0.0374





hsa-miR-1303
9
2159
UUAGAGACG
2151
0.0374





hsa-miR-136
9
4486
CUCCAUUUG
4478
0.0374





hsa-miR-155
9
2160
UUAAUGCUA
2152
0.0374





hsa-miR-16
10
3603
UAGCAGCACG
3594
0.0095





hsa-miR-18a-3p
10
3603
ACUGCCCUAA
3594
0.0095





hsa-miR-190
9
2428
UGAUAUGUU
2420
0.0374





hsa-miR-191
9
3052
CAACGGAAU
3044
0.0374





hsa-miR-192
9
4390
CUGACCUAU
4382
0.0374





hsa-miR-194
9
1643
UGUAACAGC
1635
0.0374





hsa-miR-197
9
5001
UCACCACCU
4993
0.0374





hsa-miR-19b-2-5p
10
3052
AGUUUUGCAG
3043
0.0095





hsa-miR-203
9
3051
UGAAAUGUU
3043
0.0374





hsa-miR-218
10
3603
UUGUGCUUGA
3594
0.0095





hsa-miR-218-1-3p
9
5001
UGGUUCCGU
4993
0.0374





hsa-miR-219-1-3p
9
3614
AGAGUUGAG
3606
0.0374





hsa-miR-26a-2-3p
9
2163
CCUAUUCUU
2155
0.0374





hsa-miR-27a-3p
10
3603
UUCACAGUGG
3594
0.0095





hsa-miR-27a-5p
11
3336
AGGGCUUAGCU
3326
0.0024





hsa-miR-28-5p
10
3603
AAGGAGCUCA
3594
0.0095





hsa-miR-331-3p
9
4134
GCCCCUGGG
4126
0.0374





hsa-miR-337-5p
10
115
GAACGGCUUC
106
0.0095





hsa-miR-340-3p
9
1872
CCGUCUCAG
1864
0.0374





hsa-miR-34c-3p
11
2162
AAUCACUAACC
2152
0.0024





hsa-miR-373-5p
11
530
ACUCAAAAUGG
520
0.0024





hsa-miR-425
9
1013
AAUGACACG
1005
0.0374





hsa-miR-497
9
3661
AGCAGCACA
3653
0.0374





hsa-miR-501-5p
9
4164
AUC CUUUGU
4156
0.0374





hsa-miR-505
9
1015
GUCAACACU
1007
0.0374





hsa-miR-508-3p
9
1274
GAUUGUAGC
1266
0.0374





hsa-miR-509-3p
12
2554
UGAUUGGUACGU
2543
0.0006





hsa-miR-512-5p
10
987
ACUCAGCCUU
978
0.0095





hsa-miR-514
9
5001
UUGACACUU
4993
0.0374





hsa-miR-515-5p
9
59
UUCUCCAAA
51
0.0374





hsa-miR-518a-3p
9
19
GAAAGCGCU
11
0.0374





hsa-miR-519e-5p
11
2525
UCUCCAAAAGG
2515
0.0024





hsa-miR-548a-3p
10
680
CAAAACUGGC
671
0.0095





hsa-miR-550a-3p
9
4312
GUCUUACUC
4304
0.0374





hsa-miR-571
9
739
UGAGUUGGC
731
0.0374





hsa-miR-578
9
1377
CUUCUUGUG
1369
0.0374





hsa-miR-606
9
4420
AACUACUGA
4412
0.0374





hsa-miR-615-5p
10
1140
GGGGGUCCCC
1131
0.0095





hsa-miR-638
9
2710
GGGAUCGCG
2702
0.0374





hsa-miR-657
12
1316
GCAGGUUCUCAC
1305
0.0006





hsa-miR-658
9
3673
GGCGGAGGG
3665
0.0374





hsa-miR-877-3p
9
4349
UCCUCUUCU
4341
0.0374





hsa-miR-93-3p
9
799
ACUGCUGAG
791
0.0374





hsa-miR-96-3p
9
799
AAUCAUGUG
791
0.0374





hsa-miR-99b-3p
9
2163
CAAGCUCGU
2155
0.0374










C) A Multiple microRNAs-Multiple mRNAs Paradigm.


The 83 thermogenic regulator molecules selected in Table 2 were screened for high stringency Multiple miRNAs-Multiple mRNAs associations. The results of these analyses with 7 major prediction tools are shown in FIG. 4. The union of these 7 tools produces 4439 miRNA-gene couples. Overlap between these tools decreases as the number of tools increases, reaching only 15 miRNA-gene couples when 7 tools are considered.


D) An Over-Representation of One microRNA Seed Sequence Motif Among Co-Regulated mRNA Targets Paradigm.


Several approaches can be used to identify pathway-specific miRNAs. For example, searching the 3′-UTRs of putatively co-regulated genes for an over-represented sequence from a miRNA seed region could identify a common regulatory miRNA. To determine if particular miRNA seed sequences were overrepresented among the 3′ UTR of the chosen 83 thermogenesis targets, the miRvestigator web application (miRvestigator. systemsbiology.net/) was employed. Using the following parameters (motif size of 8 bp, default Weeder model, seed model of 8 mer, 100% complementarity homology and 0.25 wobble base-pairing allowed), it was determined that that the motif 5′-UUUGUACA-3′ recognized by hsa-miR-19a/19b is overrepresented among 15 of the 83 thermogenesis targets with a complementarity p value of 1.7×10−04 as shown in Table 15. Of note is that hsa-miR-19 has been reported as an abundant human adipocyte miRNA.









TABLE 15







Complementarity between the common motif UUUGUACA and hsa-miR-19a/19b:















Length of

Complementarity


miRNA Name
miRNA Seed
Seed Model
Complementarity
Complementary Base-Pairing
P-Value





hsa-miR-19a hsa-miR-19b
UGUGCAAA
8mer
8


embedded image


17e-04









The Minimum Free Energy levels of the hsa-miR-19 mRNA/miRNA duplexes identified by miRvestigator were quite low, favoring tight binding. Accordingly, the miRvestigator analysis was repeated with less stringent levels of complementarity. This analysis identified a further 10 additional targets (CEBPD, PRKAA1, TWIST1, IRS1, NCOA1, NCOA2, NCOA3, KLF5, RPS6KB1, NRIP1) with 95% similarity to the consensus hsa-miR-19 motif. Interestingly, hsa-miR-19 is among the most abundant miRNAs in adipose tissue. The genes identified as containing a sequence complementary to hsa-miR-19 seed region are set forth in Table 16.









TABLE 16 







Thermogenic regulators identified as targets for hsa-miR-19:















Start Relative

Minimum Free



Gene
Sequence
to Stop
% Similarity to Consensus Motif
Energy (MFE) of


Gene
symbol
of Site
Codon (bp)
(Quality = High | Medium | Fair)
mRNA-mIRNA Duplex















650
BMP2
UUUGUACA
366
100.00
−6.80





1052
CEBPD
UUUGUAAA
263
95.44
−3.40





7132
TNFRSF1A
UUUGUAAA
510
100.00
−6.80





5562
PRKAA1
UUUGUAAA
2400
95.44
−3.40





5563
PRKAA2
UUUGUACA
542
100.00
−6.80





655
BMP7
UUUGUACA
1927
100.00
−6.80





652
BMP4
UUUGUACA
770
100.00
−6.80





133522
PPARGC1B
UUUGUACA
7199
100.00
−6.80





7474
WNT5A
UUUGUACA
1414
100.00
−6.80





6720
SREBF1
UUUGUACA
510
100.00
−6.80





7291
TWIST1
UUUGUAAA
649
95.44
−3.40





3667
IRS
UUUGUAAA
992
95.44
−3.40





10499
NCOA2
UUUGUAAA
1381
95.44
−3.40





8204
NRIP1
UUUGUACA
1718
100.00
−6.80





8024
NRIP1
UUUGUAAA
1935
95.44
−3.40





8202
NCOA3
UUUGUAAA
965
95.44
−3.40





1385
CREB1
UUUGUAAA
1973
95.44
−3.40





1385
CREB1
UUUGUACA
2822
100.00
−6.80





1385
CREB1
UUUGUACA
2822
100.00
−6.80





1385
CREB1
UUUGUAAA
4175
95.44
−3.40





3643
INSR
UUUGUAAA
2105
95.44
−3.40





8013
NR4A3
UUUGUACA
2347
100.00
−6.80





660
RUNX2
UUUGUACA
2425
100.00
−6.80





6776
STAT5A
UUUGUACA
1214
100.00
−6.80





1874
E2F4
UUUGUACA
755
100.00
−6.80





688
KLF5
UUUGUAAA
549
95.44
−3.40





8648
NCOA1
UUUGUAAA
381
95.44
−3.40





6195
RPS6KB1
UUUGUAAA
2531
95.44
−3.40









Accordingly, the miRvestigator analysis was repeated with less stringent levels of complementarity (motif size of 8 bp, default Weeder model, seed model of 8 mer, 95% complementarity homology and 0.25 wobble base-pairing allowed). This analysis identified a further 10-12 additional targets (CEBPD, CREB1, PRKAA1, TWIST1, INSR, IRS1, NCOA1, NCOA2, NCOA3, KLF5, RPS6KB1, NRIP1) with 95% similarity to the consensus hsa-miR-19 motif. Interestingly, hsa-miR-19 is among the most abundant miRNAs in adipose tissue. The genes identified as containing a sequence complementary to hsa-miR-19 seed region are set forth in Table 17.









TABLE 17 







Thermogenic regulators identified as targets for hsa-miR-19a/b with 95% to 100%


similarity to concensus motif:















Start Relative

Minimum Free



Gene
Sequence
to Stop
% Similarity to Consensus Motif
Energy (MFE) of


Gene
symbol
of Site
Codon (bp)
(Quality = High | Medium | Fair)
mRNA-mIRNA Duplex















650
BMP2
UUUGUACA
386
100.00
−6.80





1052
CEBPD
UUUGUAAA
263
95.42
−3.40





7132
TNFRSF1A
UUUGUACA
510
100.00
−6.80





4040
LRP6
UUUGUACA
151
100.00
−6.80





4040
LRP6
UUUGUAAA
4965
95.42
−3.40





5562
PRKAA1
UUUGUAAA
2400
95.42
−3.40





5563
PRKAA2
UUUGUACA
542
100.00
−6.80





655
BMP7
UUUGUACA
1927
100.00
−6.80





652
BMP4
UUUGUACA
770
100.00
−6.80





133522
PPARGC1B
UUUGUACA
7199
100.00
−6.80





1874
E2F4
UUUGUACA
755
100.00
−6.80





7474
WNT5A
UUUGUACA
1414
100.00
−6.80





6720
SREBF1
UUUGUACA
510
100.00
−6.80





7291
TWIST1
UUUGUAAA
649
95.42
−3.40





3667
IRS1
UUUGUAAA
992
95.42
−3.40





10499
NCOA2
UUUGUAAA
1381
95.42
−3.40





8204
NRIP1
UUUGUACA
1718
100.00
−6.80





8204
NRIP1
UUUGUAAA
1935
95.42
−3.40





8202
NCOA3
UUUGUAAA
965
95.42
−3.40





3643
INSR
UUUGUAAA
2105
95.42
−3.40





8013
NR4A3
UUUGUACA
2347
100.00
−6.80





6776
STAT5A
UUUGUACA
1214
100.00
−6.80





688
KLF5
UUUGUAAA
549
95.42
−3.40





8648
NCOA1
UUUGUAAA
381
95.42
−3.40





860
RUNX2
UUUGUACA
2425
100.00
−6.80





1385
CREB1
UUUGUAAA
1973
95.42
−3.40





1385
CREB1
UUUGUACA
2822
100.00
−6.80





1385
CREB1
UUUGUAAA
4175
95.42
−3.40





6198
RPS6LB1
UUUGUAAA
2531
95.42
−3.40









Without wobbling, the same motif 5′-UUUGUACA-3′ is overrepresented among targets of hsa-miR-1283 with a complementarity p value of 1.4×10−4. Furthermore, hsa-miR-1283 binds to other mRNAs of interest like ABCA1 (cholesterol transporter), the adiponectin receptor and the transcription factor TCF7L2 that is implicated in genetic human obesity.


Similarly, other miRNA over-represented seed sequences were identified for miRNAs expressed in adipocytes. They include the universal hsa-let-7 family (sequence CUAUACAA, p value=7.5e-04) and the adipocyte-rich hsa-miR-30 family (sequence UGUAAACA, p value=1.9×10−3) to name a few.


With respect to PRDM16, CIDEA, NRIP1, KDM3A, CEPPB, PPARG, PPARGC1A, and PPKAA2, which according to the STRING software package are directly linked to UCP1, it appears that all of them share (at motif size 8 bp, default Weeder model, seed model 8 mer, 95% complementarity homology and 0.25 wobble base-pairing allowed) a consensus sequence with several miRNAs, including hsa-miR-3658 (p value=1.9e-003) and the hsa-miR-30 family (p value=6.3e-003) as follows:




embedded image


E) An Intronic miRNA-Multiple mRNAs Pathway-Specific Paradigm.


Many mammalian miRNAs are located within introns of protein-coding genes rather than in their own unique transcription units. Intronic miRNAs are typically expressed and processed with the precursor mRNA in which they reside. Although the intronic miRNAs and their host genes can be regulated independently, an intronic miRNA can down-regulate its own host protein-coding gene by targeting the host gene's UTR. Feedback regulation on host protein-coding genes could be achieved by selecting the transcription factors that are miRNA targets or by protein-protein interactions between intronic miRNA host gene product and miRNA target gene products. As an example, miR-33 acts in concert with the SREBP host genes to control cholesterol homeostasis and the pharmacological inhibition of miR-33a and miR-33b is a promising therapeutic strategy to raise plasma HDL and lower VLDL triglyceride levels for the treatment of dyslipidemias.


Examination of the 83 thermogenic target genes reveals two intronic miRNAs: miR-378 located in the PPARGC1B gene and miR-4251 located in the PRDM16 gene.


Mining of the Internet tools predicting miRNA targets indicates that miR-378 targets include BMP2, PPARA, PPARGC1A, PRDM16, STAT5 and WNT10A as well as ADIPOQ and IGFR1; and that miR-4251 targets include BMP2, CTBP1, CTBP2, MAPK14, NCOA3, PLAC8, PPARA, PPARD, TRPM8, as well as ABCA5, ABCA13, ADIPOQR2, KDM5B, KLF-12, KLF-14 and TCF7L2.


Example 3
High-Content Cellular Phenotypic Screening

High-content screening methods are used to screen for novel miRNA agents that modulate the activity of thermogenic regulators (e.g., UCP1 and UCP2). High-content screening is a drug discovery method that uses images of living cells to facilitate molecule discovery. Such automated image based screening methods are particularly suitable for identifying agents which alter cellular phenotypes.


WAT cells contain large lipid droplets, whereas, in contrast, BAT cells contain numerous smaller droplets and a much higher number of mitochondria, which contain iron and make them appear brown. The large number of mitochondria in BAT leads to an increased oxygen consumption, when compared to WAT. Accordingly, it is possible to distinguish between BAT and WAT cells visually based on their cellular phenotype.


Accordingly, high-content screening methods were used to screen for novel miRNA agents that modulate the activity of thermogenic regulators. Specifically, the phenotypic appearance of cultured human adipocytes and adipose tissue derived mesenchymal stem cells grown in the presence and absence of miRNA agonists or antagonists was assessed over two weeks by phase contrast microscopy of the cultured cells, measurement of the cellular lipid content (using Oil Red O Staining or Nile Red fluorescence); mitochondrial content (e.g., using Life Technologies Mito-Tracker Red FM), and/or oxygen consumption in vitro (e.g., using the Seahorse Bioscience Extra-Cellular Flux Instrument). mRNA expression is measured by targeted q-RT-PCR, NanoString and universal RNA-Sequencing. Protein expression is measured by targeted Western Blotting and universal proteomic profiling.


A. Differentiation of Human Pre-Adipocytes into Adipocytes.


1. Differentiation Protocol.


In order to assess the effect of miRNA analogs on human pre-adipocytes differentiation into mature adipocytes, human subcutaneous pre-adipocytes (SuperLot 0048 from 8 female donors, ZenBio, NC) were plated on Day 0 into 96-well plates and allowed to attach overnight in preadipocyte medium (DMEM/Ham's F-12 (1:1, v/v), HEPES buffer, Fetal bovine serum and Antibiotics). The next day (Day 1), the medium was removed and replaced with differentiation medium (DMEM/Ham's F-12 (1:1, v/v), 100 μM Ascorbic Acid, 0.85 μM insulin, 20 nM sodium selenite, 0.2 nM, tri-iodothyronine, 1 μM dexamethasone, 100 μM isobutyl-methylxanthine, 100 nM Rosiglitazone and Antibiotics. The cells were allowed to incubate for 2 days at 37°, 5% CO2. After 2 days (Day 3), the medium was removed and replaced with fresh maintenance medium (DMEM/Ham's F-12 (1:1, v/v), 100 μM Ascorbic Acid, 0.85 μM insulin, 20 nM sodium selenite, 0.2 nM tri-iodothyronine, and Antibiotics). On Day 3, the cells were transfected with miRNA analogs (Dharmacon specific miRIDIAN Mimics and Hairpin Inhibitors) using the transfecting agent Dharmafect1. All treatments were in triplicate. Post transfection, the negative control was maintenance medium only and the positive control was maintenance medium with 100 nM of the PPARG agonist rosiglitazone. After 2 days, medium was removed and replaced with fresh maintenance medium. The maintenance medium then changed every two days until the end of the treatment period (Day 15). At the end of the treatment (total of 15 days in culture) cells were processed for Phenotyping and Genotyping Screening.


2. Transfection of Pre-Adipocytes.


Transfection reagents are used to facilitate the penetration of miRNA analogs into target cells. As an example, the extent of transfection efficiency we achieved in pre-adipocytes with the transfecting agent Dharmafect 1 (Dharmacon, CO) is depicted herein. Transfection efficiency was assessed in two ways:


a. Measurement of cellular epifluorescence after transfection with fluorescent miRNA analogs.


Fluorescence was measured on Day 15 (540 excitation/590 emission) in cells transfected on Day 3 with the Dy547-labeled non-targeting miRIDIAN Mimic and Hairpin Inhibitor (100 nM). As shown in FIG. 9, there was a significantly greater fluorescence of cells transfected with the fluorescent miRNA analogs, even 12 days after transfection:


b. Reduction of control gene expression.


To confirm successful transfection of pre-adipocytes, the reduction of expression of the control gene GAPDH (“housekeeping gene”) was measured 4 days (Day 7) (FIG. 10A) and 12 days (Day 15) (FIG. 10B) after transfection of pre-adipocytes with a GAPDH-specific siRNA. Cell lysates were obtained and RT-PCR was conducted using pure RNA obtained by Cells-to-Ct reagents. 91% and 86% knockdowns of the GAPDH mRNA expression were observed at Day 4 and Day 12 post transfection, both highly significant, as shown in FIGS. 10A and 10B.


3. Phenotypic Changes During Human Pre-Adipocytes Differentiation into Adipocytes.


At the end of treatment (15 days in culture) cells were stained with Oil Red O for assessment of lipid content. As shown in FIGS. 11A to F, in the presence of medium without rosiglitazone, the pre-adipocytes show little differentiation into lipid-loaded mature adipocytes. In the presence of differentiation medium including 100 nM Rosiglitazone for 2 days followed by maintenance medium for 12 days (negative control), some differentiation into lipid-loaded mature adipocytes is noted. In the presence of 100 nM rosiglitazone throughout the experiment (positive control), most of the cells became lipid-loaded mature adipocytes. As an example, in the presence of 25 nM hsa-miR-30b mimic, about half of the cells became lipid-loaded mature adipocytes. The non-targeting miRNA mimic and inhibitor showed patterns similar to the negative control.


4. Genotypic Changes During Human Pre-Adipocyte Differentiation into Adipocytes.


Profiling of mRNA changes occurring during the differentiation of human pre-adipocyte into mature adipocyte induced by rosiglitazone or miRNA analogs was performed by RNA-Seq technology. Small RNA sequencing (RNA-Seq) is a high-throughput next-generation sequencing platform which now allows transcriptome-wide profiling of all small RNAs, known and unknown, with no need for prior sequence or secondary structure information.


RNA samples were extracted from pre-adipocytes (pre-adipocyte negative control) and from pre-adipocytes cultured in the presence of 100 nM rosiglitazone (differentiation positive control) or 25 nM miRNA mimics or inhibitors for 12 days. RNA sequencing was performed on the Illumina Hi-Seq 2000 equipment. The results were mapped against Human Genome 19 (http://genome.ucsc.edu/). It appears that in the presence of a miRNA analog, between 313 and 449 mRNA are significantly differentially expressed in reference to pre-adipocytes. In reference to Rosiglitazone, the number of significantly differentially expressed genes is reduced between 111 and 216, thus suggesting common pathways of activation of adipocyte differentiation between miRNAs and the PPARG analog.


Regarding our 83 thermogenic activators and inhibitors, the expression of 73 of them is altered in the presence of rosiglitazone or miRNA analogs. The changes of mRNA expression of the thermogenesis targets in the presence of rosiglitazone (FIG. 12A) or miRNA analogs hsa-let-7a inhibitor, hsa-miR-1 mimic, hsa-miR-19b mimic, hsa-miR-30b mimic or control adipocytes are shown on FIGS. 12B-F, respectively).


Changes in mRNA expression of UCP1, 2 and 3 were also measured in the presence of rosiglitazone or miRNA analogs, as shown below in Table 18.









TABLE 18







Changes in thermogenic mRNA expression









mRNA Expression changes



(log ratios)












Agent
UCP1
UCP2
UCP3
















Rosiglitazone
15.70
263
0.26



hsa-let-7a inhibitor
2.23
173
0.65



hsa-miR-1 mimic
0.41
110
0.40



hsa-miR-19b mimic
0.18
33
0.26



hsa-miR-30b mimic
0.76
119
0.28



Baseline level in
0.02
1.35
0.30



pre-adipocytes










The expression levels of the three Uncoupling Proteins were low in pre-adipocytes. The expression of UCP1 was significantly increased in the presence of rosiglitazone 100 nM which was renewed with the culture medium every other day. The magnitude of UCP1 mRNA rise with the miRNA analogs was lower than with rosiglitazone, but one has to keep in mind the miRNA analogs concentration used (25 nM) and the fact that only one transfection was performed 12 days before RNA extraction. A major finding is the dramatic increase of UCP2 expression in the presence of rosiglitazone as well as the miRNA analogs. The expression of UCP3 did not change in any condition, as expected for a gene that is mainly expressed in myocytes. This increase in UCP1 and UCP2 expression suggests that administration of these miRNA produces a cellular differentiation into adipocytes with greater potential for thermogenesis and thus are likely effective pharmaceuticals for the treatment of obesity and other metabolic diseases and disorders.


Furthermore, we looked at genes differentially expressed during pre-adipocyte culture in the presence of miRNA analogs. As an example shown on FIG. 13, an M-A plot was created to visualize the differences of mRNA expression between pre-adipocytes grown in maintenance medium and pre-adipocytes grown in the presence of hsa-miR-19b mimic. The x-axis is the mean gene expression and the y-axis is the difference between pairs in logarithmic scale. The red dots are the differentially expressed genes (up regulated above zero and down regulated below zero). The gray dots are the genes not differentially expressed between control and hsa-miR-19b mimic (up regulated above zero and down regulated below zero).


As an example shown on FIG. 14, in reference to pre-adipocytes cultured in maintenance medium only, the numbers of significantly differentially expressed genes in the presence of the miRNA analogs hsa-let-7a inhibitor, hsa-miR-1 mimic, hsa-miR-19b mimic and hsa-miR-30b mimic were respectively 406, 382, 370 and 433. A set of 127 genes was commonly upregulated by these 4 miRNA analogs (Venn Diagram, FIG. 14).


They include not only some of our 83 thermogenic targets like ALDH1A1, AZGP1, CEBPA, PPARGC1A, UCP1 and UCP2, but also numerous genes involved in lipid metabolism and adipocyte differentiation (Table 19).









TABLE 19





Set of 127 genes commonly upregulated by 4 miRNA analogs:

















ABCC6



ABCD2



ACACB



ACHE



ACSF2



ACSM5



ACSS2



ADH1B



AIF1L



AKR1C3



ALDH1A1



AOC3



AOC4



APCDD1



APOC1



AQP3



AQP7



AQP9



AZGP1



BBOX1



BHLHE22



C11orf87



C14orf180



C1orf115



C1orf95



C3



CA2



CADM3



CDO1



CEBPA



CFD



CFHR1



CHI3L2



CILP



CKB



CKMT1B



CLCA2



CLMN



COL14A1



COL21A1



CPB1



CYB5A



CYP4F12



CYP4F22



DARC



DGAT2



DHCR24



DPT



DTX4



EPHB6



FABP4



FADS2



FAM65C



FMO1



FMO2



G0S2



GPD1



GPR109A



GPR109B



HAVCR2



HRASLS5



IGSF10



ITIH1



ITIH5



KCNE3



KCNK3



KIT



KLB



LBP



LEP



LGALS12



LIPE



LPL



LRRC4C



LRRN4CL



MAN1C1



MAOA



MAOB



MARCO



MCAM



METTL7A



MGP



MLXIPL



MOBKL2B



MOSC1



MVD



NAT8L



NKD2



PCSK9



PFKFB1



PKD1L2



PLA2G2A



PLIN1



PLIN4



PLXDC1



PPARGC1A



PPL



PPP1R1A



PRKAR2B



PTGDS



QPRT



RASL12



RNF157



S100B



SDPR



SELENBP1



SEMA3G



SEPP1



SLC2A4



SLC2A5



SLC40A1



SLCO4C1



SMOC2



SNCG



SPARCL1



SPRY1



SVEP1



TF



TM7SF2



TMEM132C



TMEM176B



TMEM37



TNMD



TPRG1



TRIL



UCP1



UCP2










A set of 60 genes was commonly downregulated by these 4 miRNA analogs (Venn Diagram, FIG. 15).


They include numerous chemokines genes and genes involved in cell proliferation and (Table 20).









TABLE 20





Set of 60 genes commonly downregulated by 4 miRNA analogs:

















ACTC1



ANLN



ARSI



ATOH8



AURKB



BLM



BRCA2



BUB1



BUB1B



CASC5



CCL26



CDC6



CDCA5



CDCA8



CDH15



CENPF



CKAP2L



CXCL1



CXCL2



CXCL3



CXCL5



CXCL6



E2F7



ESCO2



FAM83D



GABBR2



GREM2



GTSE1



HAS1



HJURP



ID1



ID3



IER3



IL13RA2



IL6



IL8



INHBA



IQGAP3



KIAA1244



KIF11



KIF14



KIF18B



KIF2C



KIFC1



KRT34



KRTAP2-1



MALL



MMP3



NCAPH



PHLDA1



PLK1



PPAPDC1A



PTGS2



RELN



SHCBP1



SLC17A9



SLC6A17



THBD



TMSL3



TOP2A










B. Differentiation of Human White Adipocytes into Brown Adipocytes.


1. Differentiation Protocol.


In order to assess the effect of miRNA analogs on human white adipocytes differentiation into brown adipocytes, human subcutaneous pre-adipocytes (SuperLot 0048 from 8 female donors, ZenBio, NC) were plated on Day 0 into 96-well plates and allowed to attach overnight in preadipocyte medium (DMEM/Ham's F-12 (1:1, v/v), HEPES buffer, Fetal bovine serum and Antibiotics). The next day (Day 1), the medium was removed and replaced with differentiation medium-2 (DMEM/Ham's F-12 (1:1, v/v), HEPES buffer, Fetal bovine serum, Biotin, Pantothenate, Human insulin, Dexamethasone, Isobutyl-methylxanthine, Proprietary PPARG agonist and Antibiotics. The cells were allowed to incubate for 7 days at 37° C., 5% CO2. After 7 days (Day 7), a partial medium exchange was performed with AM-1 adipocyte maintenance medium (DMEM/Ham's F-12 (1:1, v/v), HEPES buffer, Fetal bovine serum, Biotin, Pantothenate, Human insulin, Dexamethasone and Antibiotics). The cells were allowed to incubate for an additional 7 days at 37° C., 5% CO2. On Day 17, the cells were transfected with miRNA analogs (Dharmacon specific miRIDIAN Mimics and Hairpin Inhibitors) using the transfecting agent Dharmafect 3. All treatments were in triplicate. Post transfection, the negative control was maintenance medium only and the positive control was maintenance medium with 100 nM of the PPARG agonist rosiglitazone. After 2 days, medium was removed and replaced with fresh maintenance medium. The maintenance medium then changed every two to three days until the end of the treatment period (Day 30). At the end of the treatment (total of 30 days in culture) cells were processed for Phenotyping and Genotyping Screening.


2. Transfection of Adipocytes.


Transfection reagents are used to facilitate the penetration of miRNA analogs into target cells.


As an example, the extent of transfection efficiency we achieved in adipocytes with the transfecting agent Dharmafect 3 (Dharmacon, CO) is depicted herein. Transfection efficiency was assessed in two ways:

    • a. Measurement of cellular epifluorescence after transfection with fluorescent miRNA analogs.


Fluorescence was measured on Day 30 (540 excitation/590 emission) in cells transfected on Day 17 with the Dy547-labeled non-targeting miRIDIAN Mimic and Hairpin Inhibitor (100 nM). As shown in FIG. 16, there was a significantly greater fluorescence of cells transfected with the fluorescent miRNA analogs, even 12 days after transfection.

    • b. Reduction of control gene expression.


To confirm successful transfection of adipocytes, the reduction of expression of the control gene GAPDH (“housekeeping gene”) was measured 4 days (Day 22) and 12 days (Day 30) after Dharmafect 3 (Dharmacon, CO) mediated transfection of adipocytes with a GAPDH-specific siRNA. Cell lysates were obtained and RT-PCR was conducted using pure RNA obtained by Cells-to-Ct reagents. Efficient transfection of mature adipocytes (a cell type known to be difficult to transfect) was achieved with the transfecting agent Dharmafect 3. 54% and 73% knockdowns of the GAPDH mRNA expression were observed at Day 4 and Day 12 post transfection, both highly significant, as shown in FIG. 17.


3. Phenotypic Changes During Maintenance of Human Adipocytes in Culture for Thirty Days.


At the end of treatment (total of 30 days in culture) cells were stained with Oil Red O for assessment of lipid content (FIG. 18). In the presence of maintenance medium only from Day 16 to Day 30 (control), the adipocytes appear loaded with large lipid droplets. In the presence of 100 nM rosiglitazone throughout the experiment (positive control), the intensity of the red staining seems reduced and the lipid droplets appear smaller. As an example, in the presence of 25 nM hsa-miR-30b mimic, the intensity of the red staining seems also reduced and the lipid droplets appear smaller. No such change was notice in the presence of a non targeting miRNA analog.


The amount of lipids present in the mature adipocytes at Day 30 was measured with the fluorescent Nile Red Dye. As shown in FIG. 19, the highest fluorescence was noted in the adipocytes which were not exposed to rosiglitazone from Day 15 to day 30. A similar fluorescence level was noted in the cells which were transfected with the non-targeting miRNA mimic and inhibitor. When the cells were exposed to rosiglitazone for two days, the fluorescence dropped significantly and was further reduced in the presence of rosiglitazone from Day 15 to Day 30. It appears that in the presence of the miRNA inhibitors tested, the level of fluorescence is within the range observed with rosiglitazone 2 day to throughout. In the presence of miRNA mimics, the level of fluorescence appears lower, an indication of lower lipid content.


4. Optimization of Human Mature Adipocyte Transfection.


As efficient transfection of mature adipocytes is known to be difficult to achieve, we tested eleven different transfecting agents and assessed the degree of reduction of mRNA expression of the control gene GAPDH. Human subcutaneous pre-adipocytes were plated in E-well plates and differentiated for two weeks following the protocol described above. Subsequently, a miRNA mimic (50 nM) targeting GAPDH was introduced into the differentiated adipocytes using transfecting agents following their manufacters' protocol. The transfected cells were incubated for 72 hours with reagents and miRNA mimic, then switched to maintenance medium. Fourteen days post-transfection, RNA was isolated using RNeasy Mini kit and RT-PCR reactions for the control gene GAPDH and the reference gene 18S were performed in triplicate using 100 ng of cDNA per well.


The amounts of RNA extracted per well were very similar, except for the transfecting agents TransIT TKO and TransIT siQuest which may produce potential cellular toxicity in the conditions of the experiment (FIG. 20).


The cells transfected with Dharmafect 1 and siPORT NeoFX had significantly reduced levels of 18S expression and were excluded from the RT-PCR experiment analysis. Among the remaining 7 transfecting agents analyzed, the often-used transfecting agent Lipofectamine RNAiMAX led to a 66% reduction of GAPDH expression at day 14 post-transfection, Dharmafect 3 and Dharmafect 4 respectively produced 60% and 75% reduction of GAPDH expression (FIG. 21).


5. Phenotypic Changes of Human Mature Adipocytes Cultured for Two Weeks in the Presence of miRNA Analogs or Known Activators of Adipogenesis and/or Thermogenesis.


Human subcutaneous adipocytes were plated in 6-well plates at a density of 391,000 cells per well as described above. Using Dharmafect 4, these adipocytes were transfected at Day 14 with:


1. One of the following miRNA analogs (50 nM):

    • hsa-let-7a inhibitor (hsa-let-7a is a universal miRNA reported to modulate adipogenesis)
    • hsa-miR-1 mimic (hsa-miR-1 has been reported to modulate PRDM16 and UCP1)
    • hsa-miR-19b mimic (hsa-miR-19b is an abundant adipocyte miRNA which according to our in silico work is predicted to interact with many of our 83 mRNA targets) or
    • hsa-miR-30b mimic (hsa-miR-30b is a miRNA which according to our in silico work is predicted to interact with many of our 83 mRNA targets and whose over-expression stimulates adipogenesis)


      2. A negative control (mock transfection)


      3. Three positive controls (the PPARG agonist rosiglitazone (100 nM), the beta 3 adrenergic receptor agonist CL316,243 (10 μM) or the thyroid hormone tri-iodothyronine (10 nM) known to alter adipogenesis and/or adaptive thermogenesis).


At day 17, the cells were switched to maintenance medium, which was then changed every two-three days until day 28 when bright field microscopy pictures of the cells were taken.


As shown on FIG. 22, and in reference to the control condition, there is an increase in cell density and “browning” appearance in the presence of the positive controls CL316,243 and Rosiglitazone as well as in the presence of hsa-let-7a inhibitor, has-miR-19b and hsa-miR-30b mimic. The effects on cell density, lipid content, number and size of lipid droplets of the different agents are summarized in Table 21.













TABLE 21






Picture






field
Cell area



covered by
occupied
Number
Average



adipocytes
by lipid
of lipid
size of



(% of
droplets
droplet
lipid


Agent
control)
(%)
per cell
droplet



















Control
Ref
42%
68
Ref


50 nM hsa-let-7a inhibitor
+147%
56%
103
−13%


10 μM CL316,243
+24%
44%
124
−44%


50 nM hsa-miR-1 mimic
+15%
36%
69
−16%


10 nM T3
+13%
42%
94
−27%


50 nM hsa-miR-19b mimic
+145%
58%
91
+3%


100 nM Rosiglitazone
+198%
57%
113
−19%


50 nM hsa-miR-30b mimic
+246%
53%
140
−63%









Example 4
High-Throughput miRNA Target Screening by Luciferase Activity and qRT-PCR

High-throughput screening using luciferase reporter assay constructs are used to identify novel miRNA targets involved in thermogenesis.


Luciferase is commonly used as a reporter to assess the transcriptional activity in cells that are transfected with a genetic construct containing the luciferase gene under the control of a promoter of interest. SwitchGear Genomics has created a genome-wide library of over 18,000 human promoters and 12,000 human 3′ UTR regions cloned into an optimized luciferase reporter vector system containing SwitchGear's RenSP reporter cassette (GoClone™) as a component of the LightSwitch™ Luciferase Assay System. This modified form of luciferase greatly facilitates detailed kinetic studies, especially those focusing on repression, which might otherwise be obscured by reporter protein accumulation.


The multiple microRNAs-one mRNA paradigm was tested with the SwitchGear Genomic GoClone system, using UCP1 as the single thermogenic target gene. In order to explore the possible interactions between various human miRNAs and the 3′UTR region, the 5′UTR region and the promoter/enhancer region of the human UCP1 gene in Hela and HepG2 cells, three reporter constructs were made:

  • 1. A human UCP1 3′UTR construct containing a reporter gene driven by a strong constitutive promoter (RPL10-prom) with a 2,218 bp 3′UTR fragment of the human UCP1 sequence cloned in the 3′UTR region of the reporter gene. The effects of a specific miRNA mimic, inhibitor, or non-targeting control on this reporter's activity are compared to those of an empty-3′UTR and an Actin Beta-3′UTR to identify effects that are specific to the putative UCP1 3′UTR construct.
  • 2. A human UCP1 Promoter construct containing a reporter gene driven by a 4,147 bp 5′UTR fragment of the human UCP1 sequence that spans the Transcription Start Site and upstream region covering the methylation region and the enhancer region of the human UCP1 gene sequence. The effects of a specific miRNA mimic, inhibitor, or non-targeting control on this reporter's activity are compared to those of an Actin Beta-Promoter to identify effects that are specific to the putative UCP1 5′UTR construct.
  • 3. A human UCP1 Enhancer Region construct containing a reporter gene driven by a short minimal promoter from the HSV-TK locus with a 601 bp 5′UTR fragment of the human UCP1 sequence that spans the Enhancer Region of the human UCP1 gene sequence. The effects of a specific miRNA mimic, inhibitor, or non-targeting control on this reporter's activity are compared to those of an empty 5′Enhancer Region to identify effects that are specific to the putative UCP1 5′Enhancer construct.


In addition, miRNAxxx3′UTR constructs were made. They contain the reporter gene driven by a strong promoter (RPL10_prom) with a perfect match to the target sequence of miRNAxxx cloned into the 3′UTR region of the reporter gene. The effect of a miRNA mimic, inhibitor, or non-targeting control on this reporter's activity can be compared to EMPTY3′UTR and Actin B3′UTR to determine whether a miRNA mimic's or inhibitor's activity can be reasonably detected in the experimental cell type. If the cell type has no endogenous expression of the miRNA in question, the addition of a mimic should knock down the activity of this reporter, and the addition of an inhibitor should have no significant effect. If the cell type has high endogenous expression of the miRNA in question, the addition of an inhibitor should increase the activity of this reporter, and the addition of a mimic should have no significant effect. The range of endogenous miRNA expression in Hela and HepG2 cell types is broad, so the synthetic target activity changes are likely to reflect this variability.


For each miRNA candidate (38 in total), the following conditions were tested:


miRNA mimic (specific)*8 reporter constructs in Hela cells


miRNA mimic (specific)*8 reporter constructs in HepG2 cells


miRNA mimic non-targeting control*8 reporter constructs in Hela cells


miRNA mimic non-targeting control*8 reporter constructs in HepG2 cells


miRNA inhibitor (specific)*8 reporter constructs in Hela cells


miRNA inhibitor (specific)*8 reporter constructs in HepG2 cells


miRNA inhibitor non-targeting control*8 reporter constructs in Hela cells


miRNA inhibitor non-targeting control*8 reporter constructs in HepG2 cells


To the extensive list of miRNAs that may bind to the UCP1 sequence, 10 filters were applied (in addition to required binding to UCP1 3′UTR region) to reduce the number of miRNA candidates to be tested. These filters were length of binding sites, number of binding sites, binding to the 5′UTR region, chromosomal clustering with other miRNAs, intronic location, wobbling, expression across species, binding to the Enhancer Region, binding to the Methylation Region and proof of experimental evidence of a relation to UCP1. 38 miRNAs that met at least 3 of these criteria were tested (Table 22).









TABLE 22







miRNA with putative binding sites in the UCP1 gene sequence:






















# of
Binding
# of


Chr.


Inter-
Enhancer
Methylation
Exp.



miRNA
criteria
length
sites
3'UTR
5'UTR
Clusters
Intronic
Wobbling
species
Region
Region
Evidence























1
hsa-miR-130b-5p
7
11
3
+
+
22



+
+
+


2
hsa-miR-328
6
10
4
+
+




+
+
+


3
hsa-miR-655
6
10
5
+
+
14




+
+


4
hsa-miR-19b-2-5p
5
10
4
+
+
X

+



+


5
hsa-miR-26a-2-3p
5
10
7
+
+





+
+


6
hsa-miR-367-3p
5
10 to 18
3
+
+
4

+
+
+




7
hsa-miR-371a-5p
5
10 to 12
9
+
+
19


+


+


8
hsa-miR-377-3p
5
10 to 14
5
+
+
14


+


+


9
hsa-miR-378a-3p
5
7 to 13
19
+
+

+
+
+


+


10
hsa-miR-382-3p/5p
5
15
2
+
+
14

+
+





11
hsa-miR-421
5
10
5
+
+
X





+


12
hsa-miR-515-3p
5
9
3
+
+
19



+

+


13
hsa-miR-620
5
10
7
+
+




+

+


14
hsa-miR-941/2
5
9
5
+
+
20




+



15
hsa-miR-1179
4
11
3
+
+
15

+






16
hsa-miR-1302
4
10
5
+
+





+



17
hsa-miR-146a
4
9 to 10
8
+
+






+


18
hsa-miR-181c
4
9
5
+
+
19





+


19
hsa-miR-203
4
9
1
+

14




+
+


20
hsa-miR-331-5p
4
8 to 15
6
+
+
12

+
+





21
hsa-miR-422a
4
7 to 14
6
+
+


+
+


+


22
hsa-miR-452
4
8
7
+
+
X





+


23
hsa-miR-491-5p
4
10
3
+
+









24
hsa-miR-501-3p
4
10
2
+
+
X





+


25
hsa-miR-543
4
10 to 14
4
+
+
14

+
+





26
hsa-miR-545
4
11
2
+
+
X





+


27
hsa-miR-549
4
13 to 14
3
+
+



+


+


28
hsa-miR-643
4
10 to 14
9
+
+


+



+


29
hsa-miR-651
4
10
6
+
+






+


30
hsa-miR-654-3p
4
8 to 10
11
+
+
14

+






31
hsa -miR-21-5p
3
10 to 14
2
+
+


+
+


+


32
hsa-miR-211-5p
3
11
1
+






+
+


33
hsa-miR-22-3p
3
9
5
+
+


+



+


34
hsa-miR-30b-5p
3
10
1
+

8





+


35
hsa-miR-325
3
7 to 8
11
+
+






+


36
hsa-miR-362-5p
3
10
1
+

X





+


37
hsa-miR-504
3
9
2
+
+





+
+


38
hsa-miR-552
3
9
3
+
+






+









In these Luciferase reporter gene assay experiments, a miRNA candidate was considered to interact with UCP1 if both the specific miRNA inhibitor increases the luciferase signal and the specific miRNA mimic decreases the luciferase signal with an Inhibitor/Mimic Ratio≧1.5 and or/a p value<0.05. These selection criteria identify 9 miRNAs (hsa-miR-19b-2-5p, hsa-miR-21-5p, hsa-miR-130b-5p, hsa-miR-211, hsa-miR-325, hsa-miR-382-3p/5p, hsa-miR-543, hsa-miR-515-3p, and hsa-miR-545) (Table 23). A few more barely missed these selection criteria; they are hsa-miR-331-5p, hsa-miR-552, hsa-miR-620, and hsa-miR-1179.









TABLE 23







miRNA identified as regulators of UCP1 gene


expression by luciferase reporter assay in


Hela and/or HepG2 cells:










Cell Line(s)
miRNA







Hela
hsa-miR-130b-5p



Hela + HepG2
hsa-miR-19b-2-5p



HepG2
hsa-miR-382-3p/5p



Hela
hsa-miR-515-3p



Hela
hsa-miR-543



HepG2
hsa-miR-545



Hela + HepG2
hsa-miR-21-5p



Hela
hsa-miR-211-5p



Hela + HepG2
hsa-miR-325










Out of these 9 selected miRNAs, 3 appear to bind to the 3 regions of UCP1 which were studied (hsa-miR-21-5p, hsa-miR-211, and hsa-miR-515-3p); 3 appear to bind to 2 regions of UCP1 (hsa-miR-19b-2-5p, hsa-miR-130b-5p, and hsa-miR-325), and 3 bind to a single region of UCP1 (hsa-miR-331-5p, hsa-miR-543, and hsa-miR-545). All but hsa-miR-331-5p appear to bind to the 3′UTR region of UCP1 (Table 24).









TABLE 24







miRNA identified as regulators of UCP1 gene


expression by luciferase reporter assay:













UCP1
UCP1
UCP1



miRNA
3′ UTR
Enhancer
Promoter















1
hsa-miR-21-5p
X
X
X


2
hsa-miR-211
X
X
X


3
hsa-miR-515-3p
X
X
X


4
hsa-miR-19b-2-5p
X

X


5
hsa-miR-130b-5p
X
X


6
hsa-miR-325
X
X


7
hsa-miR-331-5p

X


8
hsa-miR-543
X


9
hsa-miR-545
X









Further screening is performed by transfection of the promoter/3′UTR library into human adipocytes or adipose-derived mesenchymal stem cells in cell culture, followed by addition of miRNA agents (e.g., agomirs or antagomirs) to the cell culture. Measurement of luciferase activity and identification of mRNAs is performed 24 hours after transfection and addition of miRNA agents.


In order to confirm the results of the transfection experiments set forth above over a longer time frame, lentiviral transduction experiments are performed using lentiviral vectors containing the miRNA agents of interest (from System Biosciences (SBI) collection of miRNA precursors expressed in the pMIRNA1 SBI vectors allowing the expression of the copGFP fluorescent marker). Specifically, cells containing the promoter/3′UTR library are transduced with lentiviral particles at an MOI of 1:10 and GFP-positive cells are sorted by FACS, according to the supplier's instructions. The level of expression of the mature miRNAs and their targeted mRNAs is assessed at several time points (0, 3, and 6 hr.; 1, 4, and 7 days) by Taqman Quantitative Real-time PCR in control cells (HEK293 cells), Human Adipose-Derived Mesenchymal Stem Cells, Human Subcutaneous Pre-adipocytes, and Human Proliferating Subcutaneous Adipocytes. Pooling of RNAs from 5 different time points after transduction is optionally employed to reduce the complexity of the qRT-PCR based screening approach while preserving the detection sensitivity.


Example 5
Proteomic Profiling

Proteomic Profiling is also used to identify novel miRNA targets involved in thermogenesis.


Shotgun proteomics is a method of identifying proteins in complex mixtures using high performance liquid chromatography (HPLC) combined with mass spectrometry (MS). Transfected and transduced cells with miRNA agents and promoter/3′UTR library (as described in Example 4) are harvested and lysed to produce crude soluble (cytosolic) and insoluble (nuclear) fractions. Peptides are from these fractions are then separated by HPLC and analyzed using nanoelectrospray-ionization tandem MS using the isotopic labeling technique SILAC to quantify protein abundance. Spectra are searched against the Ensembl release 54 human protein-coding sequence database using Sequest (Bioworks version 3.3.1, Thermo Scientific).


To avoid missing low abundance proteins, a targeted proteomics approach is also employed to accurately quantify a set of proteins that are known regulators of adipogenesis, adipocyte differentiation and BAT function. Some examples include UCP1, KDM3A, PRDM16, PPARA, PPARGC1A, CEBPB, CIDEA, BMP7, COX7A1, SIRT1, SIRT3, DIO2, FABP4, and ADIPOQ. These proteins are analyzed via ELISA based or Luminex based immunoassays using commercially available antibodies.


Optionally, the protein fractions are analyzed using Multiple Reaction Monitoring-Mass Spectrometry on a proteomics platform, whereby only one protein (e.g. UCP1) of the thermogenic pathway is accurately quantified using LC-MS-MS.


Example 6
Development and Characterization of Clonal DNA Aptamers Specifically Targeting Human Adipocytes

We used the Cell-SELEX technology to develop and characterize DNA aptamers that specifically recognize mature human subcutaneous adipocytes. With Cell-SELEX, aptamers recognizing specific molecules in their native conformation in their natural environment on the surface of intact cells are selected by repeated amplification and binding to living cells. In this cell-based selection illustrated in FIG. 23, specific known and unknown cell surface markers or membrane receptors can be directly targeted within their native environment, allowing a straightforward enrichment of cell-specific aptamers. Cell-SELEX consists of a combination of positive selection with the target cells and negative selection with non-targeted cells. In the present case, negative selection was performed with freshly isolated human hepatocytes and positive selection utilized primary cultures of human subcutaneous adipocytes. Two rounds of negative selection and five rounds of positive selection from a 32 mer library were completed. Isolated aptamers were sequenced, synthesized and labeled with 6-fluorescein amidite (FAM) for binding studies. Human hepatocytes (negative cells) and adipocytes (positive cells) were labeled for 15 minutes at room temperature with a saturating concentration (1 μM) of FAM conjugated aptamers and analyzed by fluorescence-activated cell sorting (FACS). As shown on FIG. 24, some aptamers (e.g. aptamer 974) do not bind to adipocytes nor hepatocytes, some aptamers (e.g. aptamer 975 bind to both adipocytes and hepatocytes, ratio: 2.69) and other aptamers bind preferentially to adipocytes (e.g. aptamers 972 and 973, ratio: 4.76 and 5.40, respectively). Further characterization of these adipocyte-specific aptamers is in progress.


Example 7
Reconciliation of the Phenotypic, Genotyping, and Proteomic Datasets

The results of the in vitro experiments set forth in Examples 3-5, herein, are reconciled. Specifically, to narrow further the initial set of microRNAs, mRNAs and target proteins and pathways to a relevant yet manageable number of targets, the experimental data is integrated with Network Searches and Analyses Packages (DAVID, Ingenuity Systems IPA and ARIADNE Pathway Studio.


Global analysis of the results of the in vitro experiments set forth in Examples 3-5, herein, is performed the Business Intelligence tool TIBCO Spotfire. This allows for a visualization of the relationships between the miRNA agents and target gene.


Example 8
Animal Models of Obesity

Several animal models of obesity have been developed and validated (Kanasaki K et al., J. Biomed. Biotechnol., 2011:197636 (2011); Speakman J et al., Obesity reviews: an official journal of the International Association for the Study of Obesity, 8 Suppl 1:55-61 (2007)). The most commonly used are the Leptin Signaling Defects Lepob/ob and Leprdb/db Mouse Models as well as the High-Fat Diet model in C57BL/6J mice (Wang C Y et al., Methods in molecular biology, 821:421-433 (2012). This diet-induced obesity (DIO) model closely mimics the increased availability of the high-fat/high-density foods in modern society.


A DIO mouse model is used for in vivo validation of the effectiveness of the miRNA analogs described herein for the increase in thermogenesis and/or the treatment of obesity and other metabolic disorders (Yin H et al., Cell Metab., 17(2):210-224 (2013)).


DIO mice are administered one or more of an hsa-let-7a agomir, hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-1 antagomir, hsa-miR-19b agomir, hsa-miR-19b antagomir, hsa-miR-30b agomir, and hsa-miR-30b antagomir. Rosiglitazone is used as a positive control. Food intake, blood metabolic parameters, body composition (body weight, body fat, bone mineral and lean mass, body fat distribution, body temperature, O2 consumption and CO2 production, exercise induced thermogenesis, cold induced thermogenesis and resting thermogenesis are measured in the mice prior to and after treatment. A reduction in body mass or body fat or an increase in body temperature or any kind of thermogenesis indicate the in vivo effectiveness of the administered composition.


Example 9
Nucleic Acid Sequences of Human UCP1 and UCP2 Genes and Transcripts









TABLE 25 







Nucleic acid sequence of the 1,462 base pair (bp) transcript ENST00000262999 of the


human UCP1 gene (Six Exons are in capital letters):












No.
Exon/Intron
Start
End
Length
Sequence
















5′ upstream



..........gtcggttcaaaaaacagaaatcgggtttgctg



sequence



cccggcggacaggcgtga





1
ENSE00001081761
141,489,959
141,489,758
202
AGAGCAAGGGAAAGGAACTTCC







TCCACCTTCGGGGCTGGAGCCCT







TTTCCTCTGCATCTCCAGTCTCTG







AGTGAAGATGGGGGGCCTGACA







GCCTCGGACGTACACCCGACCCT







GGGGGTCCAGCTCTTCTCAGCTG







GAATAGCGGCGTGCTTGGCGGAC







GTGATCACCTTCCCGCTGGACAC







GGCCAAAGTCCGGCTCCAG






Intron 1-2
141,489,757
141,489,132
626
gtagctaggcagaggggtaagacaa..........tgttct







gcacctttcttatttccag





2
ENSE00001009006
141,489,131
141,488,933
199
GTCCAAGGTGAATGCCCGACGTC







CAGTGTTATTAGGTATAAAGGTG







TCCTGGGAACAATCACCGCTGTG







GTAAAAACAGAAGGGCGGATGA







AACTCTACAGCGGGCTGCCTGCG







GGGCTTCAGCGGCAAATCAGCTC







CGCCTCTCTCAGGATCGGCCTCT







ACGACACGGTCCAGGAGTTCCTC







ACCGCAGGGAAAGAAA






Intron 2-3
141,488,932
141,484,673
4,260
gtaagccgtgagcgttcctgggagg..........aataat







tttttttctactggatag





3
ENSE00001081759
141,484,672
141,484,472
201
CAGCACCTAGTTTAGGAAGCAAG







ATTTTAGCTGGTCTAACGACTGG







AGGAGTGGCAGTATTCATTGGGC







AACCCACAGAGGTCGTGAAAGTC







AGACTTCAAGCACAGAGCCATCT







CCACGGAATCAAACCTCGCTACA







CGGGGACTTATAATGCGTACAGA







ATAATAGCAACAACCGAAGGCTT







GACGGGTCTTTGGAAAG






Intron 3-4
141,484,471
141,484,366
106
gtaactaacttcaaaatgggtttta..........acattttctt







tttttttttccccag





4
ENSE00001081762
141,484,365
141,484,264
102
GGACTACTCCCAATCTGATGAGA







AGTGTCATCATCAATTGTACAGA







GCTAGTAACATATGATCTAATGA







AGGAGGCCTTTGTGAAAAACAAC







ATATTAGCAG






Intron 4-5
141,484,263
141,483,528
736
gtaacttcccatttcatataacaaa..........gacctgttt







catcgatccattttag





5
ENSE00001081763
141,483,527
141,483,347
181
ATGACGTCCCCTGCCACTTGGTG







TCGGCTCTTATCGCTGGATTTTGC







GCAACAGCTATGTCCTCCCCGGT







GGATGTAGTAAAAACCAGATTTA







TTAATTCTCCACCAGGACAGTAC







AAAAGTGTGCCCAACTGTGCAAT







GAAAGTGTTCACTAACGAAGGAC







CAACGGCTTTCTTCAAGGG






Intron 5-6
141,483,346
141,481,165
2,182
gtaagatatgatcttgtgtatctgt..........cgaacgat







gacatgcacttttctag





6
ENSE00001081760
141,481,164
141,480,588
577
GTTGGTACCTTCCTTCTTGCGACT







TGGATCCTGGAACGTCATTATGT







TTGTGTGCTTTGAACAACTGAAA







CGAGAACTGTCAAAGTCAAGGC







AGACTATGGACTGTGCCACATAA







TCAGCTTCAAGAAAATGATGTAA







CATACCAGTGGGAATCTTGCTGA







CTGGATCATAAAAACAAACAAA







ACTTATTCACTTATTTTAACCTAA







AAAGATAAAGGAATTTTGGCAG







AGAATTTTGGACTTTTTTATATAA







AAAAGAGGAAAATTAATGCCTAT







TTCATATAACTTTTTTTTTTTCTC







AGTGTCTTAAGAAGGGGAAAGC







AAAACATTCAGCATATACCCTGG







CAAATGTAATGCAGATAAGCTAC







TGCATTTGACCATTTCTGGAGTG







CAATTGTGTGAATGAATGTGAAG







AACTTTAACATGTTTTAATTACA







ATTCCAACTGGTGGAAAAGAAAC







TGAGTGAAATGCAGTTTATATTT







ATAAATACTTAAAAATGAAGTTA







TTAAAAATATTAGTTTTTATTAAC







CACAGTTGTCAGTTAATATATTC







AATAAAGTATTGCTAATACCTTT







T






3′ downstream



aaagtttgtcttttgagatctatacctgggtgtaagagtc



sequence



aagttcacta..........
















TABLE 26





Nucleic acid sequence of 9,371 base pair (bp) of the human UCP1 gene


(ENSG00000109424), (Exons are in bold letters):


>chromosome:GRCh37:4:141479988:141490559:−1















AGAGAAGGCCGCAAGGTGCCTGCAAGATGTCTGGGGAGTTGGAGGAATGGAAGAG





TGCCCCGCTCTTCCTTCTGGGAGAGCTCCAGCTAGGCAGAACCTTTCACCAAGGCTC





TGATATCGTGCTGGTTTCCGAAAGCCCCAGCCGAAGGTGTGCAGCCAAAGGGTGAC





AGAAGGTGAGGCACGTGCGGGGGCGCGGGTGCTGACCGCCGCGGTGCGCCCTCCCT





CCGACGTGCGTGTGCGGGGCGCAGACAACCAGCGGCCGGCCCAGGGCTTTCGGGGA





GCGAAGCAGGGCTCCCGAGGCACCGAGCGAGAATGGGAATGGGAGGGACCCGGTG





CTCCCGGACACGCCCCCGGCAGGTCCCACGCCCGGGTCTTCTGAGACCTCGCGCGGC





CCAGCCCGGGAGCGGCCCAGCTATATAAGTCCCAGCGGAAGACCGGAACGCAGAG





GGTCCTGCTGGCGCGAGGGTGGGTAGGAGGGGACGCGGGGACTCGGCCCCCAACAC





CGCGCTCCGTCTGCAGCCGCCGCCTCTGCACCGCCGCTGCCCGGCGGTCGGTTCAAA







embedded image






embedded image






embedded image






embedded image






embedded image




GGTCTCAGGACAGAGGGGACGCTGTTGCGTGCATTCCATTTATTCTCTGCTTTGGTGT





AACCACTGTTTCTAGGTAGGGTAGGTGACCTTCCAAAGCAGTCTGGCCTTGTCCCAG





GGCTGGTGCTTTAGGATGGGAAACTGGAACTTTTTCTGGGATTAGCTGAAGAACCAC





CAGGGCCACAGAGAATGGGTTGACCATGACTACTACCAAATTCTCCCAAAATTTAG





GGTGCACTTAGTATTTTAAGAGCTGAGAATATTGGCCTCTCCTGAGTTTACTAGTCA





GGTGCTTTTTCCTTTCTTTGATTCTTCGGGGGTTCTGTCCTATCCTACTGCCCTAGGGG





TTCTGGAGAGTTCCTGGGGAGGGGGATATTCAAAATGTGCATTGTAGCCAGCCTCCC





TCCATCTGCGCGTGAGCGAACACACACACACACACACACACACACACACACACACA





CACACACACACGGTAGAGGGAGGTGGATGGAAGAGGAATGTTGCTGAGAAAAGAA





ACGGAAAATAGGAACACAGGGGGAAATCTTGGCTTAAGAGTGAACTCAATTTCGCT







embedded image






embedded image






embedded image






embedded image






embedded image




GGCTCCGCTCTGTTCCAAAAAGTGTAACACACAGAGGAGTGGTTTTCATAACAAATT





GGCGAGAAAACATTCATATTTGAACTCTCCCTTCCCCAAACATTAGCTCATTGTTCAT





AGAAAAAAGTATGCAAAATCGATTTTTTAGATGCAGATATATACTTGTAAAGGTCAC





CCAGTCATGGAAGTTTTGTGCCCAGTTTGGATCTCCATCTGGAGAATATGGGTGGGC





TACAGAAAAATGTTTAACTTAAAGTTCTCCAAAGAGGGAAGTATATCAGAAACATC





TATGGAGCTTGTCAGAAATCCAAACGAGGACTACCATGGTCCTCTGAGTCTGAATCC





TCAGGCTAGAGACCAGAGTGTCTTTCCACAAGCTTCCCTCATCATTTCGTGTATGCAA





CAAAGTTCAAAGCCTTCTGTTTGAAGCAAAGAAAGCCAGACTTTTGTGAAGAGAGTT





GAAAGGACAGGAAAAGACATATTTCCTCTTAAGAGGTTCCTCATCAGGTCCAGGAA





AGACCAGAGCAGAAAAAGTGGACGAATGCTGCAGGGAGTTTGTTTAGGGGAAAAA





GAAAAGGAAACATATTTCCTGAGTGCCAGTGCACTCTAAGAATTCCTGTCACTTTAG





GTAGCATTTATTTGAGGGCTTAACTATGAACCAGACATTGTTCTAAGTGCTTCAGAT





ACATTATAACTGGAAGGGTATTAGTACCATTATCCCTTGGCAGATGGGAAAACTGAA





CACAGAGCAGATTCATCACTTGCCCAAGGTCACACAGCTGGGAGGGGGCAGAGCCA





GGGTTCAAACCCAGGCAGTCTGGCCTCGGACTCCAGGCTCCTAACCCTGTTCTCTAC





TGCCTTCTGCACTTCTCATATGATTCTGCCCATCATTCAAACCGCACAACACTGCTGT





GAGTAAAAAGTGTTAGCCGAATATCAGGGTAGTTAAGTAACATGCACAAAATCACA





CAGCTAATCAACATCAGAGGCACTTTCATGTGGAGTAGACAAGCCAGAGAGAAGAT





GTGCTGATGGCACAATGAATACATTAAGTGAAATCCACCTTGTAGATTTCATCATTT





CTGCTGTGAGTAACCTTCAATACTATAATTTTATGGGATAATTTATAAATGTTGTCTA





TACAAATATATAAGTTATACTTATCCACACAAGTACTTTCAAAGTGAAGATAAAGTC





TGGATGTTACTAGATCAAAACTGCATTTTTTTATTTATAGATGTAGCAAGAGAGGAA





ACACAAAGGAGGTAAAGCTGCCCGTTCAGGTGGTTTTCTTCACAGATTGACTGTTCT





ACCAATTGTTGTGGACTTTGGGCACCAAATTAATAGGATATATGTTGGCAGTGTTCT





ATGTTATATAGATTCAGTTTATTTAGTAGGCTTTATTGAACTGCCATGTGCCAGTAAC





TATGTTAGATGTTTAGATGGCAGATGTGTCTCTAGACAGAGCTTACAGTTGAGAGTA





TGGGTTGTGTGGGGAGAAGTGAATAGATGACTATATTCCATGATACATGCTGTATTA





CAATACAGTCCTACTTCACTTAACGATGGGGATACATTCTCAGAAATGAGTTAGGAG





GCAAATTGGTTGTTGAATGAACATCACAGAGAGCACTTACACAAACCTAGATGGCA





TAGCCACACCTAGGCTATATGGTATAATCTATTGCTCCTAGGCTACAAACCTGTGCA





GCATGTTGGTATTGAATACTACAGGCAATTGTTACATAAAGTTAAGTGTTTGTGTAC





CTAAAAATAGAAAAGGTAATGCATTACACTACAGTCTTATGGGGCTGGGATGTCACT





AGGTGATAGGAATTTTTCAGCTCTGTTCTAATCTTACGGGACCACCATCATGTATGC





AGCACATGACTAACTGTAATTACAAGATGGTGGCTATATTAAACAGAACTACTTAAG





CTAGCCATGGAGGTATGGTCCGTGAGATTTTCCTGAAGAATTAACGTCTGGATCAAT





TCTGGAAGGGCCAGCAGGAGTACTCCAGGCAAAGGGGTGAGAAAGGAGCTTCCAA





GTAGAGTGAAGGTCATGTGCAAAGACTCAGTGAGGAGTCGAGTGAACATAGCACAG





GGAGGACATGTTGGTGAGGAAGGAGGGGTGAAGCCACAGAGACAGGAGGGAGCCA





GATGACAGAAGGCCTTGCAGGCGGTGCTAAGGAGTTTGGATTTTATCCTTACAGTGG





TGGGAAGTCATTGTAAAAATATTAAGCAAGGGAGTGGCATAAACAATTTACATTTTC





AAAAGATCACTTTGGCAGCAGATAGAGTATATATGTAAAAGGAGTAAGAAAGAGGT





AAGTTAGAAAGCAAGAAATGATCAGGGTATGCCCTAAAACACTGGCAATAGGGAAA





AAGAGATGTCAATCAGAAAGATTGAGAAAGTATAATTGAATTGACTTGGTGAACAA





ATAGAAGTAAGGCATAAGGGACAGGTAGAAATATGAGATGACTTCCAAGTTTCTGT





TTAAAGATACCCTTTATTGAGAGAGGATGTATAGAAGCTGTCTTAGGGGGAAGACA





AGAAATTTGGTTTAGGCCATGTCAACAGGTAATGGCCAGTAGGCACATGATTCAGTT





TATTTAGTGGGCTCCTTTTAGGAGAAAATCTGAGCCAGATTCCAGGAAGTCACAGCA





GGGACTACCAATAGGGTCAAACAGCAGAGAGTGTGGAAAGGACTGAAAAGTGATC





ATTGTACATAACAAATAGAAGCTCACTGATTTTCTAGCAAAAACATCTTCAGCAGAG





TAGCGTGGTATAAGCTATATTGTAGGGGACTGAGGAAGAAATGGGCTCTGAGAAGT





AAAGACAAACAATATGTTTTGTAAATAAATTTCTTTTAGTTCTTAAAAAAAAAGCCT





CTTTTCCAGCTTGATTGGGAAGTGAAGAGAGGGATTTGAAAGTTGGAGATTGGAGG





ATAGGATGAGTACATCAAGATACACTACGTTGTAGTGCAGTGCATTACAAATGTGA





GCTAAAAGTGAAGGCATTTGTAATCATATGATATTGCTAATTAAAAGACAGCTGTCA





GTCATATGCCCAGCTCCTGGTAAAGCATGATGAGAAGAGTACAATCATGGTAGTGA





TTTAAAAATTGCTGCCAGTTTTGTGGATTTTCTTTATGCTAGACAGTGTAAGCTCTTT





ATCAATATTATTTAACTCACACAACTCTAAGAGGTAGATATTATTATCCCTTTTTGAC





AAATTAGGAAACAGAATTATAATGACTGAGAAAGTCTCTGCTGAGTAAATGTTACT





GAACCTTAATTTTATGTTTACTTAATGATAGAAATGAATATTGGGCTTCAAGACTATT





TGTACTTAATGAAATCTGTCTTGAGCAACATAAGCTATTTTTTTCAAAATTTTAAGAC





AAAAATCACTTTCTTCTCTCCTGTCTTCTTATTTTTGTTCCCTTCACATGTTGTAGCCT





AACACTACTTGATGGCCCATTTTGGTGCAGTTTGTCCACTGGGCTTCATCTAAGGCC





ACCAAGTCCCATAATTAACATGATCATTCGTGGGAGAAAGATCAAGCCTCATTGGTG





ATGGGTGCCTCCTCACAGTCGGATAATACTGAAAAGAGAGCTAAATGTGGGAAAGA





ACCAAGTTGAACACAGGAAAGAATCAGGCCACTGTGAAAATAAGCATTGTGTTTTC





TTGTTCCTTGAAAGTCTTCATTTTTAAAAAATTTCAGACACCTGAAGTTTTCTAGCCT





TACTCTGAGTTGACGCACATTTAGTACATGATCAACACATAAACAAGCATTAGAGAA





ATAGAAAAGCTGTAAGAATACAAAAATATGGGCCAGGTGGGTGGCTCATACCTGTA





ATCCTAGCACTTTGGGAGGCCGAGGCAGACGGATCACCTGAGGTCAGGAGTTCAAG





ACTAGCCTGGCCAATATAGTGAAACCCTGTCTCTACTAAAAATACAAAACTTAGCAG





GCTGTGGTGGCACGTGCCTATAATCCCAGCTACTTGGGAGGCTGAGGCAGGAGAAT





CTCTTGAACCCGGGAGGCGGAGATTGCAGTGAGCCAAGATCACACCACTGCACTCT





AGCCTAGATAACAGAGCAAGACTCCATCTCAAAAAAAAAAAAAATACAAAAATATG





AACCACTGAAAATTAAAAAGACATGCATGCATTCTAGGTCTTTAATTTTTTTTCTTAA







embedded image






embedded image






embedded image






embedded image






embedded image




CAACTAGCAACTTATTGTAAAGTAGAGTTAATAAACATTTTCTTTTTTTTTTTCCCCA







embedded image






embedded image




TTCCCATTTCATATAACAAACAGGTCGCACCTTTAGAAGTTCATCTTGGAGCTTCTGC





AGCCACCTTATACTCAATCTCTTAACTCCAATAGTTTTCTCTTTTTAAAAATTAAGTA





ATTTTGAACCATATATAACTTTGTGAGAAGCAGGAAAAGACCAAAATATTAAGTTTA





AGAAGTTTTGCCACAACAAAAATATTTTGCAACAAAAATAACAGGCAATTTCATGTC





AGCATTATTCTCATTTAATACTAATATATGGGACTTTTGTTAGAATCTTATTCTTTAT





ACAGCAGAATTCAGGAGGTAAGTCCATCCTGCATACTATATCCAAAAGATCTAGTTA





TAAAAGGAGCTTATCAGTGGTCTCATCCAAAAAGTAATACCATAAGATAGGTTCTTA





AAAATAATATTCTAACAACTTCTAGAGACATTGAAATTTCCCTTATTTCAATAAAAA





AGTATTAGATGCTCATATATTAGGCATTATTACAGGCCTTAAAGGCACAGAGGAAAC





TAACAGTTTACTTTCCTAAAGTGTTAACAATCTATTAAGCCATTTACTCTTTACCTTC





TTTTTCTAGTGCAATACCTTTCTTATTTTATTTTATTTATTTATAAGACATCTTCATTG





ACCTACTGTTATCAATAGGTTTATAAAGATATGACAGATAACTAAATTGCAAGCCCC







embedded image






embedded image






embedded image






embedded image






embedded image




GACACTCTCATGTCAAGCAACCGACATTTAGCTTACAAGCCTTAGTATATTCATATA





CTTAGTATTGACTTTTCCTTGCCACAGATTTCTCCAATCCACCAATTCCACTGTGCCA





GAAAGTAAAAAGCCATGATATTCAAATTTTCTCAACTTTGATCAAAGGCTCATTCAA





GACCAGTGCCTTTTCCACTGGTCCCAATCTACTGGAAATGCAGACAGTATTTTGCCTT





CTCTGGGCAAGAAAGTTATAAAGTAGAGGGAAATCATAATAGAGAGCTATGAGAGA





ACAAGATTTGATTTGATTTAATTTGATGGACTCAAGTTTTAACATTGTAAAACTAGA





GATAAGACATCACCACCAATCTAGAAAAGTGATGCAGAAAAGTATTTGATTTGGGT





AATTATTACACTCACCTAGAAACAAGTGTTGTGTAATAGATTACATATTTCCATAAT





GCAATGTTGTATCAGAAACTACCTTCCTAAGAAAATATAGTATGGGCTCGGCGTGGT





GGCTCGCACCTGTAATCCCAGCACTTTGGGAGATGGAGGCAGGAGGATCACTTGAG





CCCAGACTGGGCAACAAAGCGAGACCCTGTCTCAACAAAAAATTTAAAAATTAGCT





GAGTGTGGTGGCACGCACTGATGGTCCCCTCTACTTGGGAAGCTGAGGCAAGAGGA





TCTCCTGAGCCCAGGAGTTCAAGGTTTCAGCGAGCTATGATTGTGCCACTGCACTCC





AGCCTGGGAGACAGAGCAAGTCCCTGTCTCAAAAAAGAAGAAGGAGAAGGAGGAG





AAAATACAGTATTAAGTAATCTGTCAATATATTCCACAAGGATTACACTAGTGGTTT





AATAATAAAATTATATTACCTTTTAAATTGTAAGGCCATTCCTCAAGCTTTATAAAT





TAAGCATGAATGCATCATACACATTTTATAAAAAGTTCCAACTCATCATAATCTGTA





CTTATGATACATTAATACAAATGAAGTTCATTATAAAATTAACTTAAAATGGATATA





CCAGTTATTAAACCATTAACCATTTAATAATTTTATTTTTTTCAAATTTAAAAACCTT





TTGGGGAAGAAATACTACAACATGGATGAACCTTGAAAACGTTATGCTAAGTGAAA





TAAGCCAGACACAAAAGGACAAATACTGTATGATTACACTTAAATGAGGTACCTAG





AGTAGTCAAATTCATAGAGACAGAAAGAATAGAAGTTACCAGGGGCTGGAGGTAGG





AAAAAATGGAGAGCTGTTTAATGGGTAGAGAGTTTCTTTTTGGGGTGACAAAAAGG





TTCTAGAGATGGATAGTGGTGATGGTTACACACAATGTGTGTGTACTTAATGCTACT





GAAATGTAATTTTATATTTTTTTTTTGCAGCAAAATACCCCACATTGGGAAGTGA





AGAGAAACATGTTAAGAGACTTGAAGGAAAAAAATTGGGGCAGAGGGGTGTTTTTT





ATAGGTTAAACAATAAAAGCCATTTAAACAGTAACAATTTCTCTAAGGACAAGAAT





CGTCAAGATTGAGACAGCACTGATTTCTTGACTCTACTCAATACTTCTTTGGTTTCTC





TTCTTCCTTCCCCCTTCTAATAGTTTCCTACCTCCCATTCAGAAAGCAAAGCAAAACA





AGCAAAAATTCCCCCTTCCCTCAAAAAAGGAAAGAGTTTTTGAAAAAGTTCATGTCA





GTGAAGAAAAGACATGTTTTGGGAGTGAAGGATATTTGTGGATTTGTATAGATGTGA





TCATCAGGGCTGTGTTGTTTTGAAGTAATATAGGACATCTAGAGGAAAATTTATTTT





CAGCAGAGGAGGGAAAGATGAAGAGTAGGTACTTTTAAGCATCTTCACTTGAGGAG





TGGCAAAATGAGAAGCATAACCTGCTATAATCACTTTAAGAATTTCAGGCTGAGTGT





GGTGGTGCAGTCTCTAGTCCCAGTTACTCCAGGAGGCTCAGGTGGGAGGATCACTTA





AGCCCAGGAGCTCGAGGTTGCAGTGAGCTATGATTACACTACTGCATTCCAGCCTGG





GCGGCAGGGTGAAGCCTCATCTCAAAAATTAAAAAAAAAAAAAATCAAACAAATTA







embedded image






embedded image






embedded image






embedded image






embedded image






embedded image






embedded image






embedded image






embedded image






embedded image






embedded image






embedded image




AGAATACAAGACTGCCCAATAGCAAATGCAGGTCTTTAGAATCATAGGCATGAACC





TACTCTGAATGTTATTAGTATAGATTTTTAATGTTTAGAGTCCAGATTTGATGACATC





TCTAACAACTTCTAATCTAAGACACTATATTCATTTTGGCAGGATTGCTACTAGAGTC





TTGGTATCTGTGCTAGCATCACATAATTTTAGAGCTGGAGGGTACTTCTGGGAAGAC





AGAGGAACAGTTTGAGATTCCTACTGAGATGAAAACGAATCTTCATGGAATCTTTCA





GCAAAGCCAAATTCAAATTCATCATTAGCACCTGTAGTAACCTTTTCAATGCCTACA





AACTGCATGCAGAAGAGATAGGGAAACAGTAAAACAGATATTAAAAGAAGTTTTTA





AGACAAAGCCCAGCCTGATTTTAAGCTAAATCCAAGGATTGGCAGCTTGGATGAGC





AGGAAGGTTACAGGCTGCCAGACATCATTCTAGTTCTGTTTTAATCAACTCCATGTT





ACATTTACTATCAGGGATTCTCACCTCACCCTCATGCAT
















TABLE 27 





Nucleic acid sequence of 15,910 base pair (bp) of the human UCP1 gene


(NCBI Reference Sequence: NG_012139.1, RefSeqGene on chromosome 4):
















CTGTACAGCT CTCCGACAAT CCCACATCTA GATGCCAAGC TGAGGTTGGC ATTCTCACTA
61





ATTTGCTGTT ATAAATATTA AGCTATCATA AGCGTTAGCC TACATATGAC TCTTTCATAT
121





GTTAGTTAAT TATTTTAGGG TAGAAATCCA AAAGTGGAGT TACCAGAAGT GGATATAGAC
181





ATTCTGGCTG GGTGTGATGG TTCATGCCTG TAATCCCAGC ACTTTGGGAG GCAGAGGCAG
241





GCGGATCACT TGAGGCCAGG AGTTTGAGAT CAGCCTGGGC CAACACAGCG AAACCCCATC
301





TCTACTAAAA ATTCCAAAAC TAGCCAGGCA TAGTGGCACA TGCCTGTACT CCCAGCTACT
361





TGGGAGGCTA AGACACAAGA ATCGCTTGAA CCCGGGAGGG AGGTGGAGGT TGCGGTGAGC
421





TGAGATTGTG CCACCGTACT CCAGCCTGGG TGACACAGCT AGACTCTGTT TCAAAAAAAA
481





AAAGAAAAAG AAAAGAAAAA AATAGACTTT CTCTTGGCTC AGTGTATACT GCCAAATTGT
541





TTTCCAAAAA AATTGTGTCA ATGTATAACA CCATCACTAA TATAGTATTG ATATTATGGT
601





TATTACATTT TAAAATTCAT AATTTGTAAT TATAACATTC ATAATTTATT ACTATTTATA
661





ATATTAATGT AAATGTATAT TATATATAAA TGTTATAGTA ATTATAACTT TGGTAGTGAC
721





AAAGTATTAA TTTATTAGGT GAAGTATATG CTTTTTTATT AGTGATAATA AATATATCCT
781





CTCTCCCATT ATAAAAGTTT GTATTTCTTC TTTTAGAAAT TGATTCTTCT GTCATTTGCA
841





CATTTATCTG TATAATTATA ACAGGGTATT TCCCAGTGGT GGCTAATGAG AGAATTATGG
901





GAAAGTATAG AACACTATTC AAATGCAAAG CACTGTATGA TTTTTATTTA ATAGGAAGAC
961





ATTTTGTGCA GCGATTTCTG ATTGACCACA GTTTGATCAA GTGCATTTGT TAATGTGTTC
1021





TACATTTTCA AAAAGGAAAG GAGAATTTGT TACATTCAGA ACTTGCTGCC ACTCCTTTGC
1081





TACGTCATAA AGGGTCAGTT GCCCTTGCTC ATACTGACCT ATTCTTTACC TCTCTGCTTC
1141





TTCTTTGTGC CAGAAGAGTA GAAATCTGAC CCTTTGGGGA TACCACCCTC TCCCCTACTG
1201





CTCTCTCCAA CCTGAGGCAA ACTTTCTCCT ACTTCCCAGA GCCTGTCAGA AGTGGTGAAG
1261





CCAGCCTGCT CCTTGGAATC CAGAACTACT TTCAGAATCT TGAACTTCTG TGACCTCTCA
1321





GGGTCCCCTT GTGTGAAGTT TTTGACGTCA GCTTCTCCTG TGACCCTTAG AAGTCACTCT
1381





TGTGTCTAGC ACATCCCAGG TGCTCAGTCA CCATTGAACT ACAGTCATAC TATCTCCTGG
1441





CAAAGGCTCT TAACTGTCCA TGTTAGCCTG ATATTAATAT CCTGGAAGCT TATACTGTCG
1501





TTCTTCCTTC CAGGTTTAAA TAAGGCAGCC CCTTTATCCT GTCACAGGTC CTCTCTCCCT
1561





ACCTATCCTT ACCTGTTTTG GATAACAACC TTTCTTATTT CTAATAGATT TATTTATTTC
1621





TCACATTTCC TTCCCTTATC ATAGTTTTCC TCTCACTTTC TCCTCTAGTT TGTCATACTC
1681





TGGCTTTAAA ACATGCAAAC ATGTGCCTTA TGGGGAAAAA AAGACAATTT TAATTTACCT
1741





TGCTTCTTCT TTACAAATGT ATTGTGGCTT CTTCTTATAG TCCAAATCTA AAACTCTTTA
1801





CCCACCCACT GCCTTGAACT CCTTCCTCGT TGTGAAAGTA GGATGGGGCA AAGAGAGAAT
1861





GCATGCCCCT CCCAACTGCT CAAACAAGTA AAGGTGCTGT TACAGTTATC TTTTGCTACC
1921





TTAATACAAT AATTATTTTA TTATATCTCA CAATTTTATG GATCAGGAAT TTAGACTGGG
1981





CTCAGCTAGG CGATTCTTCT GCTTTACTGA CATCATAGGA GATCACTTGG TGGTATTCAA
2041





CTGTCAGGTA GGCTTATCTG GAGGGTCCAA GATAGCTGTA CTCTGGTGCC TGGTGCCTTG
2101





GTAAAGAGGG ATGATGATGT GGGGCCTCTC CAGCATGAAC AGCCTCAGAG AAGTTTGCTT
2161





TCTTACATGC TGGCCCAGGG CTCCAAGAGC AAATGTTGCA GTGAGTAAAG CAGAAGATAC
2221





AAGGACTTTT ATAATCTGGT CTCAGAAGCC ACATGGCATC AGTTCTGTAT TATTCTATTG
2281





GTCAAAACAT TCATAAGCCT GCCAGATGCA AGGGGAAGGC ATATGTACCC TCATCTTTTG
2341





ATGGGAGGAA TGTGATGGAT TTGCAATTAT GTTTTAAAAC TACTACAGAC AGAACCACTG
2401





AGAAAGATTC ATGGGTAGCT TTGGGGTGAG GACTGGGAAT TAACCTGTTG ATAGCAGAGG
2461





TTCACTAGAG TCAACAAGGA ATAAGGTCTC CTCTTGTACA CTTTAGTCAT ACTATACCAA
2521





CATTCTTAAC CACTGCTTAG CCATCAGCCT CACAACATAA CAACTCCATC ATAGTTGTAC
2581





TCCCTAAGAT CACCAACAAT GTTAGAGTCA AATCCGGTAG GTTTTTCTTT GTTTTTGTCC
2641





TCCTGACATT TTTTCTAAAC TTGACACTGG TCAGACCCAA TCTTTCTTTA ATCATATTCT
2701





TAAATACCAG TTCTATCACT GGATATGTTA CTGTTTCTTG TTCTCACTCT ACCTTTGACA
2761





AAGCCATTCT TTCCAGACTA TAACTCTGGG TCTGGGTCCC CCTATGGTTT GGCCCTTGAA
2821





TTCTTTTCCT AGTCCTATTT GACTAGCCCC ATTTTCCCGT GAAAAGCATG CCCCTTTCAT
2881





TGCATCCATA TCATGACTAC CAAATACCTC CTCTATTTCT TCCTCTTTTA GCATGTTAAA
2941





TGCAGCTTCC TAAGCTCTCT ATCTGGATAT CAACAGTATT CTCTCCAAAT AATTCTAAGA
3001





CTTTAAAAAT TGGTTTAATC TTCTTACCCC TAAAATCACC CCCCTTACCA ACTGCCTCAT
3061





GACAATCATT GGTACTGTCA CTGAGCTTGC AACCCATGTT CTTAAACATA GAGTAATCTT
3121





TGACTCCACA TCTAATCATT CATAAAGCTG TATTGTCTAT CAAATTAAAT CTGACATTTA
3181





TGTGAGAGCA CTTCATAGTC TGTAAAGCAC TACACAGGTG ATAACATGAA GCTACACTCA
3241





TAATGGATTT GCAGGCTCTG CTTCTCATTT GGCTTCTACA GCCTCATCCC TCACCAACTT
3301





CTTGCCCTAC CTCTCTCTTT CTTCCCCATC ACCCAATTTC CCAGTCAGTC AGGCCAACAG
3361





AATGCATTCT ATATACGCGA CTTGCTTTCC CCAACATCTT TGCCTGTATG CATGCCACTT
3421





ATTTGCCTCA GTTGATCTTT ATTTCAACAA GTGTTTGCAG AGGAGAAACC TCGCTGGCTC
3481





CTTCTCCTTT CTATTTTTTT TCAGAGGCTA CCCGTCAGGT CAACATTGCC TTTTTCAGGG
3541





AAGCTCTGCA AGCCTGACCT CCCTTGGAAG TGCCTTAGGA CTGGCTTCTT GCACAGTACA
3601





CAACCTTTAC TTATAGAGGG TTTGGAGATT ATTCTTTATT CATGTCTTAT TTCTCCTGCT
3661





CCTGGAGGAG ATGACTCTGA CTTCCACTGA CTCTTTTGGG GGGCTTAAGT CAGGGTTGAG
3721





TACCAGAGGC CCTAAATAGC TGGACGTGGA TTCTGGTAAT ATCAAATCCA TCTTTGGCTT
3781





AACTGAGAGG TTCTGAAAGC TGGGACCTGA CCTTGTCCAT TTCCCTCTTT CTCCAGTTTC
3841





CTATTATTTC CCACTGTTTT TTTTAAAAGT TTTTTGTTTT CTTAAGTTTT CACAAGAATA
3901





AACATTGAAA ATAAAATTTG CACAAAGATC GAACTAGGAA AGGCCACACA ACCAACACAT
3961





ATTACATCAT TATAGGTAAG TTAGCAGGGA GATTTCAGAC CTGGGCTAGC TCTGGAACCA
4021





CATTTTACAC TGTTGAAAAT AAAAGCTGGA GTACAGATGA CTTTCCCAGG TTCACAGAGT
4081





TGGTAAGCTG GAGAGCTGCA CCTGGAGCCA AGCAACCTGC CCTGTCCTTT CCACTGCACC
4141





CTCTAAGAAA TCTAATTAGA AGGAACAGGT GGTATCTCAT TTTGTACGGT GCTTTAGCAA
4201





TGTACTATTT GCTTTCTAGT GTGTCTATTG TCTCGTTTGA CATCTTCTCT CAAAAAGTGA
4261





TGAAACGAAA CGCTCTTTTT GACAAGTTCA GAGTGCTCTT GGTTCCTGTG TGGGATTCTT
4321





CCAAGTCTGA ATTTGGTAGT GGGAAGAGAA GGAATCCGGA GGAAGGAGGA TGAGAAGTTT
4381





AAAGGAGAGG AAAGGGAAGC AGAGAAGGCC GCAAGGTGCC TGCAAGATGT CTGGGGAGTT
4441





GGAGGAATGG AAGAGTGCCC CGCTCTTCCT TCTGGGAGAG CTCCAGCTAG GCAGAACCTT
4501





TCACCAAGGC TCTGATATCG TGCTGGTTTC CGAAAGCCCC AGCCGAAGGT GTGCAGCCAA
4561





AGGGTGACAG AAGGTGAGGC ACGTGCGGGG GCGCGGGTGC TGACCGCCGC GGTGCGCCCT
4621





CCCTCCGACG TGCGGTGTGC GGGGCGCAGA CAACCAGCGG CCGGCCCAGG GCTTTCGGGG
4681





AGCGAAGCAG GGCTCCCGAG GCACCGAGCG AGAATGGGAA TGGGAGGGAC CCGGTGCTCC
4741





CGGACACGCC CCCGGCAGGT CCCACGCCCG GGTCTTCTGA GACCTCGCGC GGCCCAGCCC
4801





GGGAGCGGCC CAGCTATATA AGTCCCAGCG GAAGACCGGA ACGCAGAGGG TCCTGCTGGC
4861





GCGAGGGTGG GTAGGAGGGG ACGCGGGGAC TCGGCCCCCA ACACCGCGCT CCGTCTGCAG
4921





CCGCCGCCTC TGCACCGCCG CTGCCCGGCG GTCGGTTCAA AAAACAGAAA TCGGGTTTGC
4981





TGCCCGGCGG ACAGGCGTGA AGAGCAAGGG AAAGGAACTT CCTCCACCTT CGGGGCTGGA
5041





GCCCTTTTCC TCTGCATCTC CAGTCTCTGA GTGAAGATGG GGGGCCTGAC AGCCTCGGAC
5101





GTACACCCGA CCCTGGGGGT CCAGCTCTTC TCAGCTGGAA TAGCGGCGTG CTTGGCGGAC
5161





GTGATCACCT TCCCGCTGGA CACGGCCAAA GTCCGGCTCC AGGTAGCTAG GCAGAGGGGT
5221





AAGACAAGGG GTCTCAGGAC AGAGGGGACG CTGTTGCGTG CATTCCATTT ATTCTCTGCT
5281





TTGGTGTAAC CACTGTTTCT AGGTAGGGTA GGTGACCTTC CAAAGCAGTC TGGCCTTGTC
5341





CCAGGGCTGG TGCTTTAGGA TGGGAAACTG GAACTTTTTC TGGGATTAGC TGAAGAACCA
5401





CCAGGGCCAC AGAGAATGGG TTGACCATGA CTACTACCAA ATTCTCCCAA AATTTAGGGT
5461





GCACTTAGTA TTTTAAGAGC TGAGAATATT GGCCTCTCCT GAGTTTACTA GTCAGGTGCT
5521





TTTTCCTTTC TTTGATTCTT CGGGGGTTCT GTCCTATCCT ACTGCCCTAG GGGTTCTGGA
5581





GAGTTCCTGG GGAGGGGGAT ATTCAAAATG TGCATTGTAG CCAGCCTCCC TCCATCTGCG
5641





CGTGAGCGAA CACACACACA CACACACACA CACACACACA CACACACACA CACACACGGT
5701





AGAGGGAGGT GGATGGAAGA GGAATGTTGC TGAGAAAAGA AACGGAAAAT AGGAACACAG
5761





GGGGAAATCT TGGCTTAAGA GTGAACTCAA TTTCGCTCCC TTCTGTTCTG CACCTTTCTT
5821





ATTTCCAGGT CCAAGGTGAA TGCCCGACGT CCAGTGTTAT TAGGTATAAA GGTGTCCTGG
5881





GAACAATCAC CGCTGTGGTA AAAACAGAAG GGCGGATGAA ACTCTACAGC GGGCTGCCTG
5941





CGGGGCTTCA GCGGCAAATC AGCTCCGCCT CTCTCAGGAT CGGCCTCTAC GACACGGTCC
6001





AGGAGTTCCT CACCGCAGGG AAAGAAAGTA AGCCGTGAGC GTTCCTGGGA GGGGCAGAAA
6061





AGCCTTGGGC TCCGCTCTGT TCCAAAAAGT GTAACACACA GAGGAGTGGT TTTCATAACA
6121





AATTGGCGAG AAAACATTCA TATTTGAACT CTCCCTTCCC CAAACATTAG CTCATTGTTC
6181





ATAGAAAAAA GTATGCAAAA TCGATTTTTT AGATGCAGAT ATATACTTGT AAAGGTCACC
6241





CAGTCATGGA AGTTTTGTGC CCAGTTTGGA TCTCCATCTG GAGAATATGG GTGGGCTACA
6301





GAAAAATGTT TAACTTAAAG TTCTCCAAAG AGGGAAGTAT ATCAGAAACA TCTATGGAGC
6361





TTGTCAGAAA TCCAAACGAG GACTACCATG GTCCTCTGAG TCTGAATCCT CAGGCTAGAG
6421





ACCAGAGTGT CTTTCCACAA GCTTCCCTCA TCATTTGTGT ATGCAACAAA GTTCAAAGCC
6481





TTCTGTTTGA AGCAAAGAAA GCCAGACTTT GTGAAGAGAG TTGAAAGGAC AGGAAAAGAC
6541





ATATTTCCTC TTAAGAGGTT CCTCATCAGG TCCAGGAAAG ACCAGAGCAG AAAAAGTGGA
6601





CGAATGCTGC AGGGAGTTTG TTTAGGGGAA AAAGAAAAGG AAACATATTT CCTGAGTGCC
6661





AGTGCACTCT AAGAATTCCT GTCACTTTAG GTAGCATTTA TTTGAGGGCT TAACTATGAA
6721





CCAGACATTG TTCTAAGTGC TTCAGATACA TTATAACTGG AAGGGTATTA GTACCATTAT
6781





CCCTTGGCAG ATGGGAAAAC TGAACACAGA GCAGATTCAT CACTTGCCCA AGGTCACACA
6841





GCTGGGAGGG GGCAGAGCCA GGGTTCAAAC CCAGGCAGTC TGGCCTCGGA CTCCAGGCTC
6901





CTAACCCTGT TCTCTACTGC CTTCTGCACT TCTCATATGA TTCTGCCCAT CATTCAAACC
6961





GCACAACACT GCTGTGAGTA AAAAGTGTTA GCCGAATATC AGGGTAGTTA AGTAACATGC
7021





ACAAAATCAC ACAGCTAATC AACATCAGAG GCACTTTCAT GTGGAGTAGA CAAGCCAGAG
7081





AGAAGATGTG CTGATGGCAC AATGAATACA TTAAGTGAAA TCCACCTTGT AGATTTCATC
7141





ATTTCTGCTG TGAGTAACCT TCAATACTAT AATTTTATGG GATAATTTAT AAATGTTGTC
7201





TATACAAATA TATAAGTTAT ACTTATCCAC ACAAGTACTT TCAAAGTGAA GATAAAGTCT
7261





GGATGTTACT AGATCAAAAC TGCATTTTTT TATTTATAGA TGTAGCAAGA GAGGAAACAC
7321





AAAGGAGGTA AAGCTGCCCG TTCAGGTGGT TTTCTTCACA GATTGACTGT TCTACCAATT
7381





GTTGTGGACT TTGGGCACCA AATTAATAGG ATATATGTTG GCAGTGTTCT ATGTTATATA
7441





GATTCAGTTT ATTTAGTAGG CTTTATTGAA CTGCCATGTG CCAGTAACTA TGTTAGATGT
7501





TTAGATGGCA GATGTGTCTC TAGACAGAGC TTACAGTTGA GAGTATGGGT TGTGTGGGGA
7561





GAAGTGAATA GATGACTATA TTCCATGATA CATGCTGTAT TACAATACAG TCCTACTTCA
7621





CTTAACGATG GGGATACATT CTCAGAAATG AGTTAGGAGG CAAATTGGTT GTTGAATGAA
7681





CATCACAGAG AGCACTTACA CAAACCTAGA TGGCATAGCC ACACCTAGGC TATATGGTAT
7741





AATCTATTGC TCCTAGGCTA CAAACCTGTG CAGCATGTTG GTATTGAATA CTACAGGCAA
7801





TTGTTACATA AAGTTAAGTG TTTGTGTACC TAAAAATAGA AAAGGTAATG CATTACACTA
7861





CAGTCTTATG GGGCTGGGAT GTCACTAGGT GATAGGAATT TTTCAGCTCT GTTCTAATCT
7921





TACGGGACCA CCATCATGTA TGCAGCACAT GACTAACTGT AATTACAAGA TGGTGGCTAT
7981





ATTAAACAGA ACTACTTAAG CTAGCCATGG AGGTATGGTC CGTGAGATTT TCCTGAAGAA
8041





TTAACGTCTG GATCAATTCT GGAAGGGCCA GCAGGAGTAC TCCAGGCAAA GGGGTGAGAA
8101





AGGAGCTTCC AAGTAGAGTG AAGGTCATGT GCAAAGACTC AGTGAGGAGT CGAGTGAACA
8161





TAGCACAGGG AGGACATGTT GGTGAGGAAG GAGGGGTGAA GCCACAGAGA CAGGAGGGAG
8221





CCAGATGACA GAAGGCCTTG CAGGCGGTGC TAAGGAGTTT GGATTTTATC CTTACAGTGG
8281





TGGGAAGTCA TTGTAAAAAT ATTAAGCAAG GGAGTGGCAT AAACAATTTA CATTTTCAAA
8341





AGATCACTTT GGCAGCAGAT AGAGTATATA TGTAAAAGGA GTAAGAAAGA GGTAAGTTAG
8401





AAAGCAAGAA ATGATCAGGG TATGCCCTAA AACACTGGCA ATAGGGAAAA AGAGATGTCA
8461





ATCAGAAAGA TTGAGAAAGT ATAATTGAAT TGACTTGGTG AACAAATAGA AGTAAGGCAT
8521





AAGGGACAGG TAGAAATATG AGATGACTTC CAAGTTTCTG TTTAAAGATA CCCTTTATTG
8581





AGAGAGGATG TATAGAAGCT GTCTTAGGGG GAAGACAAGA AATTTGGTTT AGGCCATGTC
8641





AACAGGTAAT GGCCAGTAGG CACATGATTC AGTTTATTTA GTGGGCTCCT TTTAGGAGAA
8701





AATCTGAGCC AGATTCCAGG AAGTCACAGC AGGGACTACC AATAGGGTCA AACAGCAGAG
8761





AGTGTGGAAA GGACTGAAAA GTGATCATTG TACATAACAA ATAGAAGCTC ACTGATTTTC
8821





TAGCAAAAAC ATCTTCAGCA GAGTAGCGTG GTATAAGCTA TATTGTAGGG GACTGAGGAA
8881





GAAATGGGCT CTGAGAAGTA AAGACAAACA ATATGTTTTG TAAATAAATT TCTTTTAGTT
8941





CTTAAAAAAA AAGCCTCTTT TCCAGCTTGA TTGGGAAGTG AAGAGAGGGA TTTGAAAGTT
9001





GGAGATTGGA GGATAGGATG AGTACATCAA GATACACTAC GTTGTAGTGC AGTGCATTAC
9061





AAATGTGAGC TAAAAGTGAA GGCATTTGTA ATCATATGAT ATTGCTAATT AAAAGACAGC
9121





TGTCAGTCAT ATGCCCAGCT CCTGGTAAAG CATGATGAGA AGAGTACAAT CATGGTAGTG
9181





ATTTAAAAAT TGCTGCCAGT TTTGTGGATT TTCTTTATGC TAGACAGTGT AAGCTCTTTA
9241





TCAATATTAT TTAACTCACA CAACTCTAAG AGGTAGATAT TATTATCCCT TTTTGACAAA
9301





TTAGGAAACA GAATTATAAT GACTGAGAAA GTCTCTGCTG AGTAAATGTT ACTGAACCTT
9361





AATTTTATGT TTACTTAATG ATAGAAATGA ATATTGGGCT TCAAGACTAT TTGTACTTAA
9421





TGAAATCTGT CTTGAGCAAC ATAAGCTATT TTTTTCAAAA TTTTAAGACA AAAATCACTT
9481





TCTTCTCTCC TGTCTTCTTA TTTTTGTTCC CTTCACATGT TGTAGCCTAA CACTACTTGA
9541





TGGCCCATTT TGGTGCAGTT TGTCCACTGG GCTTCATCTA AGGCCACCAA GTCCCATAAT
9601





TAACATGATC ATTCGTGGGA GAAAGATCAA GCCTCATTGG TGATGGGTGC CTCCTCACAG
9661





TCGGATAATA CTGAAAAGAG AGCTAAATGT GGGAAAGAAC CAAGTTGAAC ACAGGAAAGA
9721





ATCAGGCCAC TGTGAAAATA AGCATTGTGT TTTCTTGTTC CTTGAAAGTC TTCATTTTTA
9781





AAAAATTTCA GACACCTGAA GTTTTCTAGC CTTACTCTGA GTTGACGCAC ATTTAGTACA
9841





TGATCAACAC ATAAACAAGC ATTAGAGAAA TAGAAAAGCT GTAAGAATAC AAAAATATGG
9901





GCCAGGTGGG TGGCTCATAC CTGTAATCCT AGCACTTTGG GAGGCCGAGG CAGACGGATC
9961





ACCTGAGGTC AGGAGTTCAA GACTAGCCTG GCCAATATAG TGAAACCCTG TCTCTACTAA
10021





AAATACAAAA CTTAGCAGGC TGTGGTGGCA CGTGCCTATA ATCCCAGCTA CTTGGGAGGC
10081





TGAGGCAGGA GAATCTCTTG AACCCGGGAG GCGGAGATTG CAGTGAGCCA AGATCACACC
10141





ACTGCACTCT AGCCTAGATA ACAGAGCAAG ACTCCATCTC AAAAAAAAAA AAAATACAAA
10201





AATATGAACC ACTGAAAATT AAAAAGACAT GCATGCATTC TAGGTCTTTA ATTTTTTTTC
10261





TTAATAATTT TTTTTCTCTC TGGATAGCAG CACCTAGTTT AGGAAGCAAG ATTTTAGCTG
10321





GTCTAACGAC TGGAGGAGTG GCAGTATTCA TTGGGCAACC CACAGAGGTC GTGAAAGTCA
10381





GACTTCAAGC ACAGAGCCAT CTCCACGGAA TCAAACCTCG CTACACGGGG ACTTATAATG
10441





CGTACAGAAT AATAGCAACA ACCGAAGGCT TGACGGGTCT TTGGAAAGGT AACTAACTTC
10501





AAAATGGGTT TTATAACCAC CAAAGCACAT ACATACAACT AGCAACTTAT TGTAAAGTAG
10561





AGTTAATAAA CATTTTCTTT TTTTTTTTCC CCAGGGACTA CTCCCAATCT GATGAGAAGT
10621





GTCATCATCA ATTGTACAGA GCTAGTAACA TATGATCTAA TGAAGGAGGC CTTTGTGAAA
10681





AACAACATAT TAGCAGGTAA CTTCCCATTT CATATAACAA ACAGGTCTGC ACCTTTAGAA
10741





GTTCATCTTG GAGCTTCTGC AGCCACCTTA TACTCAATCT CTTAACTCCA ATAGTTTTCT
10801





CTTTTTAAAA ATTAAGTAAT TTTGAACCAT ATATAACTTT GTGAGAAGCA GGAAAAGACC
10861





AAAATATTAA GTTTAAGAAG TTTTGCCACA ACAAAAATAT TTTGCAACAA AAATAACAGG
10921





CAATTTCATG TCAGCATTAT TCTCATTTAA TACTAATATA TGGGACTTTT GTTAGAATCT
10981





TATTCTTTAT ACAGCAGAAT TCAGGAGGTA AGTCCATCCT GCATACTATA TCCAAAAGAT
11041





CTAGTTATAA AAGGAGCTTA TCAGTGGTCT CATCCAAAAA GTAATACCAT AAGATAGGTT
11101





CTTAAAAATA ATATTCTAAC AACTTCTAGA GACATTGAAA TTTCCCTTAT TTCAATAAAA
11161





AAGTATTAGA TGCTCATATA TTAGGCATTA TTACAGGCCT TAAAGGCACA GAGGAAACTA
11221





ACAGTTTACT TTCCTAAAGT GTTAACAATC TATTAAGCCA TTTACTCTTT ACCTTCTTTT
11281





TCTAGTGCAA TACCTTTCTT ATTTTATTTT ATTTATTTAT AAGACATCTT CATTGACCTA
11341





CTGTTATCAA TAGGTTTATA AAGATATGAC AGATAACTAA ATTGCAAGCC CCCAAAAGTC
11401





TGATGTTGAC CTGTTTCATC GATCCATTTT AGATGACGTC CCCTGCCACT TGGTGTCGGC
11461





TCTTATCGCT GGATTTTGCG CAACAGCTAT GTCCTCCCCG GTGGATGTAG TAAAAACCAG
11521





ATTTATTAAT TCTCCACCAG GACAGTACAA AAGTGTGCCC AACTGTGCAA TGAAAGTGTT
11581





CACTAACGAA GGACCAACGG CTTTCTTCAA GGGGTAAGAT ATGATCTTGT GTATCTGTAA
11641





TGTGTTCTGG CTGTCTGTGT GCTTTGGGAC ACTCTCATGT CAAGCAACCG ACATTTAGCT
11701





TACAAGCCTT AGTATATTCA TATACTTAGT ATTGACTTTT CCTTGCCACA GATTTCTCCA
11761





ATCCACCAAT TCCACTGTGC CAGAAAGTAA AAAGCCATGA TATTCAAATT TTCTCAACTT
11821





TGATCAAAGG CTCATTCAAG ACCAGTGCCT TTTCCACTGG TCCCAATCTA CTGGAAATGC
11881





AGACAGTATT TTGCCTTCTC TGGGCAAGAA AGTTATAAAG TAGAGGGAAA TCATAATAGA
11941





GAGCTATGAG AGAACAAGAT TTGATTTGAT TTAATTTGAT GGACTCAAGT TTTAACATTG
12001





TAAAACTAGA GATAAGACAT CACCACCAAT CTAGAAAAGT GATGCAGAAA AGTATTTGAT
12061





TTGGGTAATT ATTACACTCA CCTAGAAACA AGTGTTGTGT AATAGATTAC ATATTTCCAT
12121





AATGCAATGT TGTATCAGAA ACTACCTTCC TAAGAAAATA TAGTATGGGC TCGGCGTGGT
12181





GGCTCGCACC TGTAATCCCA GCACTTTGGG AGATGGAGGC AGGAGGATCA CTTGAGCCCA
12241





GACTGGGCAA CAAAGCGAGA CCCTGTCTCA ACAAAAAATT TAAAAATTAG CTGAGTGTGG
12301





TGGCACGCAC TGATGGTCCC CTCTACTTGG GAAGCTGAGG CAAGAGGATC TCCTGAGCCC
12361





AGGAGTTCAA GGTTTCAGCG AGCTATGATT GTGCCACTGC ACTCCAGCCT GGGAGACAGA
12421





GCAAGTCCCT GTCTCAAAAA AGAAGAAGGA GAAGGAGGAG AAAATACAGT ATTAAGTAAT
12481





CTGTCAATAT ATTCCACAAG GATTACACTA GTGGTTTAAT AATAAAATTA TATTACCTTT
12541





TTAAATTGTA AGGCCATTCC TCAAGCTTTA TAAATTAAGC ATGAATGCAT CATACACATT
12601





TTATAAAAAG TTCCAACTCA TCATAATCTG TACTTATGAT ACATTAATAC AAATGAAGTT
12661





CATTATAAAA TTAACTTAAA ATGGATATAC CAGTTATTAA ACCATTAACC ATTTAATAAT
12721





TTTATTTTTT TCAAATTTAA AAACCTTTTG GGGAAGAAAT ACTACAACAT GGATGAACCT
12781





TGAAAACGTT ATGCTAAGTG AAATAAGCCA GACACAAAAG GACAAATACT GTATGATTAC
12841





ACTTAAATGA GGTACCTAGA GTAGTCAAAT TCATAGAGAC AGAAAGAATA GAAGTTACCA
12901





GGGGCTGGAG GTAGGAAAAA ATGGAGAGCT GTTTAATGGG TAGAGAGTTT CTTTTTGGGG
12961





TGACAAAAAG GTTCTAGAGA TGGATAGTGG TGATGGTTAC ACACAATGTG TGTGTACTTA
13021





ATGCTACTGA AATGTAATTT TATGATTTTT TTTTTTTGCA GCAAAATACC CCACATTGGG
13081





AAGTGAAGAG AAACATGTTA AGAGACTTGA AGGAAAAAAA TTGGGGCAGA GGGGTGTTTT
13141





TTATAGGTTA AACAATAAAA GCCATTTAAA CAGTAACAAT TTCTCTAAGG ACAAGAATCG
13201





TCAAGATTGA GACAGCACTG ATTTCTTGAC TCTACTCAAT ACTTCTTTGG TTTCTCTTCT
13261





TCCTTCCCCC TTCTAATAGT TTCCTACCTC CCATTCAGAA AGCAAAGCAA AACAAGCAAA
13321





AATTCCCCCT TCCCTCAAAA AAGGAAAGAG TTTTTGAAAA AGTTCATGTC AGTGAAGAAA
13381





AGACATGTTT TGGGAGTGAA GGATATTTGT GGATTTGTAT AGATGTGATC ATCAGGGCTG
13441





TGTTGTTTTG AAGTAATATA GGACATCTAG AGGAAAATTT ATTTTCAGCA GAGGAGGGAA
13501





AGATGAAGAG TAGGTACTTT TAAGCATCTT CACTTGAGGA GTGGCAAAAT GAGAAGCATA
13561





ACCTGCTATA ATCACTTTAA GAATTTCAGG CTGAGTGTGG TGGTGCAGTC TCTAGTCCCA
13621





GTTACTCCAG GAGGCTCAGG TGGGAGGATC ACTTAAGCCC AGGAGCTCGA GGTTGCAGTG
13681





AGCTATGATT ACACTACTGC ATTCCAGCCT GGGCGGCAGG GTGAAGCCTC ATCTCAAAAA
13741





TTAAAAAAAA AAAAAATCAA ACAAATTAAT CGAACGATGA CATGCACTTT TCTAGGTTGG
13801





TACCTTCCTT CTTGCGACTT GGATCCTGGA ACGTCATTAT GTTTGTGTGC TTTGAACAAC
13861





TGAAACGAGA ACTGTCAAAG TCAAGGCAGA CTATGGACTG TGCCACATAA TCAGCTTCAA
13921





GAAAATGATG TAACATACCA GTGGGAATCT TGCTGACTGG ATCATAAAAA CAAACAAAAC
13981





TTATTCACTT ATTTTAACCT AAAAAGATAA AGGAATTTTG GCAGAGAATT TTGGACTTTT
14041





TTATATAAAA AAGAGGAAAA TTAATGCCTA TTTCATATAA CTTTTTTTTT TTCTCAGTGT
14101





CTTAAGAAGG GGAAAGCAAA ACATTCAGCA TATACCCTGG CAAATGTAAT GCAGATAAGC
14161





TACTGCATTT GACCATTTCT GGAGTGCAAT TGTGTGAATG AATGTGAAGA ACTTTAACAT
14221





GTTTTAATTA CAATTCCAAC TGGTGGAAAA GAAACTGAGT GAAATGCAGT TTATATTTAT
14281





AAATACTTAA AAATGAAGTT ATTAAAAATA TTAGTTTTTA TTAACCACAG TTGTCAGTTA
14341





ATATATTCAA TAAAGTATTG CTAATACCTT TTAAAGTTTG TCTTTTGAGA TCTATACCTG
14401





GGTGTAAGAG TCAAGTTCAC TAGAATACAA GACTGCCCAA TAGCAAATGC AGGTCTTTAG
14461





AATCATAGGC ATGAACCTAC TCTGAATGTT ATTAGTATAG ATTTTTAATG TTTAGAGTCC
14521





AGATTTGATG ACATCTCTAA CAACTTCTAA TCTAAGACAC TATATTCATT TTGGCAGGAT
14581





TGCTACTAGA GTCTTGGTAT CTGTGCTAGC ATCACATAAT TTTAGAGCTG GAGGGTACTT
14641





CTGGGAAGAC AGAGGAACAG TTTGAGATTC CTACTGAGAT GAAAACGAAT CTTCATGGAA
14701





TCTTTCAGCA AAGCCAAATT CAAATTCATC ATTAGCACCT GTAGTAACCT TTTCAATGCC
14761





TACAAACTGC ATGCAGAAGA GATAGGGAAA CAGTAAAACA GATATTAAAA GAAGTTTTTA
14821





AGACAAAGCC CAGCCTGATT TTAAGCTAAA TCCAAGGATT GGCAGCTTGG ATGAGCAGGA
14881





AGGTTACAGG CTGCCAGACA TCATTCTAGT TCTGTTTTAA TCAACTCCAT GTTACATTTA
14941





CTATCAGGGA TTCTCACCTC ACCCTCATGC ATGTCTTCCC CATTCATTAC CCGCAAAAGT
15001





GTCTTGTAGC AGATGTCTTC TGTGTCCCAT ACATACCATT TTGCTCTTTA GTGCTTGCTG
15061





GCCTGACTTC CTATTGTCAT GTCAGCATCT GCCCTTTTTA GGGTCTCTGG CCACCAGAGC
15121





CAGCTTTACT CACCTGTGCA TGGCATTCTA GAAGAGCAGC AGGGAAAATA ACACAGCCCC
15181





AGTGCAGCCC TTAACCACCA ATAACTGGTA GTAGTTGGTG TACAAATATC TCAGTTCCCT
15241





CAACTGTCAG GTGGAATACC GCTGAGGGAT CAAACTCTAG TAACACACAG TAGTGTTTTG
15301





CTTACTATGG TTAACTAAAA AATCACAGGG TCTTCATGCA TTTGGAAAGG ATACTTTATT
15361





TCTTACAAAG GGTTACAGCC TACAAGGTGG TCATTCTGCA GGCTAGAAAG CGTAACCTCC
15421





AGCAAAGACC GGAGGCAGGC ACTTCTAGGG AAGGAAGAGT AAGACAGAAA TTTAAATTGA
15481





ATGGGTTGGC CAAGTATACA TATTCAACAG GCTACAGGTG GATTCATGAA TATTCATGAA
15541





GGCAGTCCTG ATGCATGCAT GTTACACCTT GGGGTGGAGG CTTAACATTT AAATGTATTA
15601





CAGTTAGGCC CTATACATGA AAAGGTGAAG CAGTAACACG AAGGCACACA ATGCACCATT
15661





TCTGTAAACA GGCCAGAGCC AGTTCACAGT GGTTGGTCTC TTATCATGAG AAAGCTACTA
15721





AAATCCTCTT GTCCAGTTAA AACTGTAGTT ATGGCTGGTG GAAAATGGGC TGGAGTCAGT
15781





CAACACTTGG TGAAGCTGCA GTTGCTTCAG ACACTCAAGG CCAGTGTTTG TTTAGCTGCT
15841





CGAGAAAAAG AAAAATCTTG TGGCAGTTAG AACATAGTTT ATTCTTTAAG TGTAGGAGTG
15901





TGTGACTTAA //
















TABLE 28 







Nucleic acid sequence of the 2,113 base pair (bp) transcript ENST00000310473


of the human UCP2 gene (Eight Coding Exons are in capital letters):












No.
Exon/Intron
Start
End
Length
Sequence
















5′ upstream



..........aatcgacagcgaggccggtcgcgaggccc



sequence



cagtcccgccctgcaggagcc





1
ENSE00002287650
73,694,352
73,693,766
587
AGCCGCGCGCTCGCTCGCAGGAG







GGTGGGTAGTTTGCCCAGCGTAG







GGGGGCTGGGCCCATAAAAGAG







GAAGTGCACTTAAGACACGGCCC







CGCTGGACGCTGTTAGAAACCGT







CCTGGCTGGGAAGGCAAGAGGT







GTGTGACTGGACAAGACTTGTTT







CTGGCGGTCAGTCTTGCCATCCT







CACAGAGGTTGGCGGCCCGAGA







GAGTGTGAGGCAGAGGCGGGGA







GTGGCAAGGGAGTGACCATCTCG







GGGAACGAAGGAGTAAACGCGG







TGATGGGACGCACGGAAACGGG







AGTGGAGAAAGTCATGGAGAGA







ACCCTAGGCGGGGCGGTCCCCGC







GGAAAGGCGGCTGCTCCAGGGT







CTCCGCACCCAAGTAGGAGCTGG







CAGGCCCGGCCCCGCCCCGCAGG







CCCCACCCCGGGCCCCGCCCCCG







AGGCTTAAGCCGCGCCGCCGCCT







GCGCGGAGCCCCACTGCGAAGCC







CAGCTGCGCGCGCCTTGGGATTG







ACTGTCCACGCTCGCCCGGCTCG







TCCGACGCGCCCTCCGCCAGCCG







ACAGACACAGCCGCACGCACTGC







CGTGTTCTCCCTGCGGCTCG






Intron 1-2
73,693,765
73,692,678
1,088
gtgagcctggccccagccctgcgcc..........actctc







tgcctttgctcacccacag





2
ENSE00001184362
73,692,677
73,692,521
157
GACACATAGTATGACCATTAGGT







GTTTCGTCTCCCACCCATTTTCTA







TGGAAAACCAAGGGGATCGGGC







CATGATAGCCACTGGCAGCTTTG







AAGAACGGGACACCTTTAGAGA







AGCTTGATCTTGGAGGCCTCACC







GTGAGACCTTACAAAGCCGG






Intron 2-3
73,692,520
73,689,523
2,998
gtaagagtccagtccaaggaagagg..........tgggg







cttttctcctcttggcttag





3
ENSE00001184370
73,689,522
73,689,298
225
ATTCCGGCAGAGTTCCTCTATCT







CGTCTTGTTGCTGATTAAAGGTG







CCCCTGTCTCCAGTTTTTCTCCAT







CTCCTGGGACGTAGCAGGAAATC







AGCATCATGGTTGGGTTCAAGGC







CACAGATGTGCCCCCTACTGCCA







CTGTGAAGTTTCTTGGGGCTGGC







ACAGCTGCCTGCATCGCAGATCT







CATCACCTTTCCTCTGGATACTGC







TAAAGTCCGGTTACAG






Intron 3-4
73,689,297
73,689,142
156
gtgaggggatgaagcctgggagtct..........tagcta







ccctgtcttggccttgcag





4
ENSE00001252503
73,689;141
73,688,931
211
ATCCAAGGAGAAAGTCAGGGGC







CAGTGCGCGCTACAGCCAGCGCC







CAGTACCGCGGTGTGATGGGCAC







CATTCTGACCATGGTGCGTACTG







AGGGCCCCCGAAGCCTCTACAAT







GGGCTGGTTGCCGGCTCTGCAGCG







CCAAATGAGCTTTGCCTCTGTCC







GCATCGGCCTGTATGATTCTGTC







AAACAGTTCTACACCAAGGGCTC







TGAGC






Intron 4-5
73,688,930
73,688,063
868
gtgagtatggagcaagggtgtaggc..........cactg







accccatggctcgcccacag





5
ENSE00001184355
73,688,062
73,687,868
195
ATGCCAGCATTGGGAGCCGCCTC







CTAGCAGGCAGCACCACAGGTGC







CCTTGCTTTGGCTGTGGCCCAGC







CCACGGATGTGGTAAAGGTCCGA







TTCCAAGCTCAGGCCCGGGCTGG







AGGTGGTCGGAGATACCAAAGC







ACCGTCAATGCCTACAAGACCAT







TGCCCGAGAGGAAGGGTTCCGG







GGCCTCTGGAAAG






Intron 5-6
73,687,867
73,687,788
80
gtgtgtaccagttgttttcccttcc..........acccagga







tcttcctcctcctacag





6
ENSE00003361285
73,687,787
73,687,686
102
GGACCTCTCCCAATGTTGCTCGT







AATGCCATTGTCAACTGTGCTGA







GCTGGTGACCTATGACCTCATCA







AGGATGCCCTCCTGAAAGCCAAC







CTCATGACAG






Intron 6-7
73,687,685
73,686,717
969
gtgagtcatgaggtagacggtgctg..........tgccttg







cctgctcctccttggcag





7
ENSE00001184349
73,686,716
73,686,536
181
ATGACCTCCCTTGCCACTTCACTT







CTGCCTTTGGGGCAGGCTTCTGC







ACCACTGTCATCGCCTCCCCTGT







AGACGTGGTCAAGACGAGATAC







ATGAACTCTGCCCTGGGCCAGTA







CAGTAGCGCTGGCCACTGTGCCC







TTACCATGCTCCAGAAGGAGGGG







CCCCGAGCCTTCTACAAAGG






Intron 7-8
73,686,535
73,686,167
369
gtgagcctctggtcctccccaccca..........atgacct







gtgatttttctcctctag





8
ENSE00001184368
73,686,166
73,685,712
455
GTTCATGCCCTCCTTTCTCCGCTT







GGGTTCCTGGAACGTGGTGATGT







TCGTCACCTATGAGCAGCTGAAA







CGAGCCCTCATGGCTGCCTGCAC







TTCCCGAGAGGCTCCCTTCTGAG







CCTCTCCTGCTGCTGACCTGATC







ACCTCTGGCTTTGTCTCTAGCCG







GGCCATGCTTTCCTTTTCTTCCTT







CTTTCTCTTCCCTCCTTCCCTTCT







CTCCTTCCCTCTTTCCCCACCTCT







TCCTTCCGCTCCTTTACCTACCAC







CTTCCCTCTTTCTACATTCTCATC







TACTCATTGTCTCAGTGCTGGTG







GAGTTGACATTTGACAGTGTGGG







AGGCCTCGTACCAGCCAGGATCC







CAAGCGTCCCGTCCCTTGGAAAG







TTCAGCCAGAATCTTCGTCCTGC







CCCCGACAGCCCAGCCTAGCCCA







CTTGTCATCCATAAAGCAAGCTC







AACCTTGGCGTC






3′ downstream



tcctccctctcttgtagctcttaccagaggtcttggtcca



sequence



atggcctttt..........
















TABLE 29





Nucleic acid sequence of the 15,174 base pair (bp) of the human UCP2 gene


(ENSG00000175567), inclding 5,000 bp 5′UTR and 2,000 bp 3′UTR, (Eight 


exons are highlighted):















TCCAGCCTGGGCAACAAGAGTGAAACTCGGTCTCAAAAAAAAAAAAAAGAGAAGA





AGAAGAAAGAAAACTAGGTGGAGTGTGGTGGCTTGCACCTATAATCCCAGCACTTT





GGGAGGCCGAGGTGGGTGGATCTATTGAGGCTAGGAGTTCAAGATCAACCTGCCAA





CATGACGAAACCCCACCTCTACTAAAAATACAAAAAATTAGCACGGCGTGGTGTGT





GTGCCTGTAATCCTAGCTACTTGGAAGGCTGAGGCAGGAATCGCTTGAACCTGGGG





GGCAGAGGTTGCAGTGAGCCAAGATCTTGCCACTGCACTCCAGGCTGGGCGACACA





GCACAACTCTATCTCAAAAAAAAAAAGAAAAAACAAAAGAAAACTAATATATCAA





AATAATTTCTAGTTAGTTGGATTCCTCACTTATTCATTCAATGACTTATTGAATTATC





ATATATTACTAGTGCTTTTTAATACATACCTTCTACAATTTTTCAACTGAAAATTACT





TCATTGATCAGGGCTCTTTAAACTGATCTCCATTTGCATTGTTTTACTAACTATAGTT





ATTATTCATGTATTAGCACTCTGAGCCTACTGTAATGATGTGTACCTTAATAAAGAA





CTGAATATTTGTAATGGCTGGCAGTGAATTTAGTAGTTCTTGAATTTAGAGCTCAAA





ATATGGGAGTAATTTGCTGCTTTATTTCCTTTGAGAGGTAATAGAGGAAAAACAGAA





TCTAATAACAATCACAGATTTTCGGGAAAGCACTGTAAAACCATATGATCAATTCTA





GCTTCTTATGTAAACATGGAAAGATTGCCAGCTGAACACCTGTCATGCTCTAAGAAG





TTGGGGAGAATTTGCATTTTTAGAACTGTGAGCAAAATGAGAACGACTGCTATGTTC





ATGCTTTGTGAATTTAGCTTTATTTCATTCACACAATTCATGGGAAAAAATGCATCTT





TTAACTCGGTGTTTTTCAATTCAACTTTTAAAATACAGGAGTGGGCCAGACCCGGTG





GCTCACACCTGTAATCTCATCACTTTGGGAGGCCGAGGCAGGTGGACCACAAGGTC





AAGAGATAGACACCATCCTGGCCAACATGGTGAAACCCCATCTCCACTAAAAATAC





AAAAATTAGCTGGGCATGTTGGCACGTACCTGTAATCCCAGCTACTCGGGAGACTGA





GGCAGGAGAATCGCTTGAACCTGGGAGATGGAGGTTACAGTAAGCCGAGATCGCGC





CACTGCACTCCAGCCTGGCGACAGAGCAAGACTCCATCTCAAAAAAAAAAAAAAAA





AAAAAAAAAAAAAAAAAAAAAAACCAGGATGTGTTACCAAGGAAAATTCATTTAC





AATGGTTAATTATGTGACAAACATGTCAAGTAATTCCATCTGGCTTTGTGTCACCATT





TCCCCACCCTTTTTTCAGAAACCAAAACCAAGAAGAAGAACAAACATCAAAATGGA





CATGGAAATTAACAAATATATGATTCAATTTAATCTCCTAAGAGGTTTTTTAAAATT





ATTTTATTTTGAGACGGAGTCTTGCTCTGTCGCCAGGCTGGAGTGCAGTGGCAGGAT





CTCAGCTCACTGCAACCTCCATCTCCCAGGTTCAAGCGATTCTCCTGCTTCAGCCTCC





CAAGTAGCTGGAACTACAGGCAAGCACCACCACACCCAGCTAATGTTTGTATTTTTG





GTAGAGATGGGGTTTCACCATGTTGGCCAGGATGGTCTCGATCTCTTGACCTCATGA





TCCACCCGCCTTGGCCTCCCAAAGTGCTGGGATTACAGGTATTTTTTATTTTTTTTGA





GACAGGGTCACCCTGTCACCCAGGCTGGAGTGTAGTGGCACAATCATGGCTCACTG





CAGCCTCAACCTCCCAGGCTCAGGTGATCCTCCATGTCAGCCTCCCAAGTAGCTGGA





ACTATAGGCGTGCAACACCATGCCCAGCTAATTTTTGTATTTTTTGTAGAGACAGGG





ATTTGCCATGTTGGCCAGGCTGGTCTTCAACTCCTGGCCTCAAGTGATCCACCCGTCT





CAACCTCCCAAACTGCTAGGATTACAGGTGTGAGCCACCGTGCCCCATCTCTCTGCT





AAGTGGGTTTAAAGAAATTCAGTTTCATGTCAATTTTTAAAATGTATGGTTATCAAA





TTCGACTTCTTTTTAAAAATGCAATCAGATAACTGTATGCTTGTTTGATGAGGGGAG





GAAAGTTAATATAGCCAATCTACTCAATATTTTTAGCAGAAATTATCAGAGACTAAG





GAAATGTTTAAGTTTTTCTCATGTTGGTTTTAATTACCTAATGTTTTCAGTTTTCTCTT





TCATTCTTGTGTCTTTTTTTCATTTTCAGTGTTTCAAATACAGTTTGTATTTAAAGATT





TAGAAGTTCCAAAACTGTAAGCACAGTGGATTGTTTCCTGGGATGATGTTAAAATTA





TACAACAAAATATATGAAACTTTGTCAATTTGGTTATTGGCACATACAAAATATTTA





CAAATAAACGTGTGTGTGTGTGCGTGTACACACAATTCAATGAAATAGATGTGAAA





CAAGTTTTCTTTTTTTTTTTTTTGAGACAGAGTCTTGCTCTGTCGCCCAGGCTGGAGT





GCAATGTCGCAGTCTCAGCTCACTGCAACCTCTGCCTCCCGGGTTCAAGCGATTCTC





CTGCCTCAGCCTCCCGAGTAGCTGGGACTACAGGCACCTACCACCACTCCCAGCTAA





TTTTTGTGTTTTTAGTAGAGACAGGGTTTCACCATGTTAGCCAGGCTAGTCTCCAACT





CCTGACCTCAGGTGATCTGCCCGCCTCAGCCTCCCAAAGTGCTGGGATTGCAGGCGT





GAGCCACCTCACCTGGCTACAAGTTTTCAAAATACATTTATCTGTACCCATACATTCT





CCAGTTTGTCCACAGGACATCTTATGACTTGAGCAAGCTGCTAAAAATCCAAGGGTG





CAGCGTTTGTATGTCTATAGGATTGCTCAGATCTGCCCCCACCCTGAAAGAATTTAA





GAGAATTTCTTGAGGCCAGGCACAGTGGCTCACACCTGTAATTCCAGTACTGTGAGA





GTCCGAGGTCAGAGGACTGCTTGAGGCCAGGAGTTCAAGAGCAGCCTGGACAACAT





AGGGAGACCTGTCACTACAAAGAATAAATAAATTAGCCAGGCTTAGTGGCTCATCC





CTGTGGTCCCAGCTACTAGGGAGGCAGAAGTAGGACTGCTTGTCCCAGGAGGTCAA





GACTGCAGTGAGCTGAGACCCAGCCACCTGCATTCCAGCCTGGGCAACAAAAAGAG





ACCCTGTCTCAAAAAATAAGTTAAATAAATAAATAATAAAAATAGTTTAAACCCTA





AACACATCTTCTTTTTCAAAGAGGACTTCTTAAGGACTTCATGCTGCGTCCTGTTGAT





CTCACTTCCCTTTTTCAGCGTCCACACTTTTAACAGTCTCTTTTGCCAAGGATAATAA





GTATATAGTTTCTGGAATCCAGATTCTTCCCTGTTTGGACAGCCAGGGGGACAATTT





TTGGTCTGCAGGCCTTTGCATCTGTTCTGCTGTTGCTCAGCAATCTCACAGCAAATTT





GCCGAGCCTCTCCGGAATGCACAGCCAGACAGAGCTCAGCGCAAAAGCTAGAGAAC





CTGGCGGAGGGAGACTCACAGTGCCACAAAAAAACTTTATCTTTTCTTTTTTTTTTTC





TTTTCTTTCTTTCTCTTTCTTTCTTGTCTTTCTGTCTTTCCTCTCTCTCTCTCTGTCTTTC





TTTCCTCTCTTTCTTTCTTTTTTCCTACATGGCAAGATCTCCTCATGGCAGAAATAATC





TGCCTTGACTTCTGTTTCCACGCTGCTTCTGCCAGGACCATGCGCTCGGCGTGTTTTT





CTTTCCGCTATAATTATCCAGGCCCATCCCAGCTCTGGTCCCCTCAGCTGTTCCCTGG





CAGTCCCTTCTGCTGGTGAAAACACATATGGCGCCGGCCTGACCAGGGTGTAAGTGT





GTGAATATCAGGAAGATGACTGAACGTCTTTGGGACTCCGTTTCCTCATTGTAAAAT





GGAGGTTAATACCAGCCTTCTTCTACTCCCCAAACGCACGTGTTTGTCCCGGCCAGA





GGGCCCAATTGTTGGCTGTTCACGCGTCAGTTACCCCCACAGGACGGGTCAGCCAAT





TAAAGGCGAACCAGGCCCGGTCCATCTCCTGACGCCTTTTCTCATCCCAGGGCTGGA





CAGGCAGCTGGCCTGGGCCCGGCTCTGCCTTGTCACGTGCGGGGGCCGGCCCGTTTG





CTTGTCTGTGTGTAGGAGCGTGAGGTCACGCTGGGTGCTCCCGCCCCGCCGGGGCCT





TTAGTGTCCTGGTCCCTAAACGCCAGGCCGCTCCACCGGGGGAGAAGGCGCGAACC





CCAGCCGAGCCCAACGGCTGTTGTCGGTTGCCGGGCCACCTGTTGCTGCAGTTCTGA





TTGGTTCCTTCCCCCGACAACGCGGCGGCTGTAACCAATCGACAGCGAGGCCGGTCG





CGAGGCCCCAGTCCCGCCCTGCAGGAGCCAGCCGCGCGCTCGCTCGCAGGAGGGTG





GGTAGTTTGCCCAGCGTAGGGGGGCTGGGCCCATAAAAGAGGAAGTGCACTTAAGA





CACGGCCCCGCTGGACGCTGTTAGAAACCGTCCTGGCTGGGAAGGCAAGAGGTGTG





TGACTGGACAAGACTTGTTTCTGGCGGTCAGTCTTGCCATCCTCACAGAGGTTGGCG





GCCCGAGAGAGTGTGAGGCAGAGGCGGGGAGTGGCAAGGGAGTGACCATCTCGGG





GAACGAAGGAGTAAACGCGGTGATGGGACGCACGGAAACGGGAGTGGAGAAAGTC





ATGGAGAGAACCCTAGGCGGGGCGGTCCCCGCGGAAAGGCGGCTGCTCCAGGGTCT





CCGCACCCAAGTAGGAGCTGGCAGGCCCGGCCCCGCCCCGCAGGCCCCACCCCGGG







embedded image






embedded image






embedded image






embedded image




CGTGCGCTGCCCGCTCTTCCATTTACCTTCTCTCCCACCCAAGTTTGTACTCTTTTCTT





TCTCTCGGTTTTATTTTTTGTTTTTGTTTGTTTGTTTGAGACAGGCTTTCGCTCTGTCTC





CCAGGCTGGAGTGCAGTGGCGCGATCTCGGCTCACTGCAGCCTCCACCTCCCAGGTT





CAAGCGATCCGCCTGCCGAGTAGCTGGGATTACAGGCGCCCGCCACCACGCCTGGC





TAATTTTTGTGTTTTGTAGAGATGGGGTTTCGCCATGTTGGCCAGGCTGGCCTCGAAC





TGCTGAGCTCAAGCAATCCGCCCGCCTCGGCCTCACAAAGTCCTAGAATTTTAGGCA





TGAGCCTCCGGGTCCGGCCTGTGCTAATCCTTTCTGTCCTTGGTTCTTTATTTCTCTTC





TCTCTTTTTCTTAGTCCCTTTTGTTCTTTCCCTCTCCCGTTCAGTTGGCTGTCGTTTGA





GCCTCCACCTTTTCACTCCCTCCTTTCCACCACGATGCCGAGCCCTGCCTTGGATGGG





GACCATCAGCGATGACCACAATGACCTCTCCCTTACCAGGCAGCTCCAGGCAGTGTT





CCTGCACCGCCTTTCCCAGGGCTTGGGGGCTTTTTCTAGTGGGCTTTGAGCTGCTCAA





TCTGGCCTCTGCAGGGCCGGCTCCCAGCCCTTCCAACCTCCTCACAGCCCGACCTGG





GACCTAGCCAATTCCCGGAGAGTCTCTGTCCCATCGTGACCCCCTCACAACTCTCCC





ACTCACCAAAGTCTGATGACTGTGCTAGGGGGTGCTTATATAGAGTACTGAGTGTTA





CAAAAGCAGAAGTCTGGATGAGAACCAATTTGTGATATTAAGCAGGTGGGGTGGGG





GTGGGGAGTGTACCTAGGTTCATTTTCCGCCCTGCTTTTCCCCTTTCCAGTGTGTGCA





CTTAACCAGTCCCTGGGCCCTGTTCCCCATCCCCCTCCAAGGCATGGATTGGGTGGG





CTTGTGTGTCTTGGGGCAGGTGGCCCTTTCTAAACTCTCTGCCTTTGCTCACCCACAG







embedded image






embedded image






embedded image




AGAGTCCAGTCCAAGGAAGAGGTCTCTTGCTGCCTCCTAACCCTGTGGTCTAGGGGC





AGGAGTCAGCAGGGCATTAACAAAAATAATTACCATCCCCACCCCCGACAGTGAAG





TGGCTCTTTCCAGTTCACAGAGCACTCTCACACCTCCCCGCTCTCATTCTGGCCCTTC





AGCTGACTCGGACAAGCCAAGGATCTTGGTCCCCATTTTATAAAGGAGAAAACTGA





GGCCCACGTGTAACAGTGATTGGCCCCAAGTCATCCCGGGAGCCAGCAGAAGAGCT





AGGACAGGAACCTATTGTTCTAACTTCATATTGATGCTAGCTTTTGACTATCCCTGAA





ACCGAGATTGGTAATCAGCCCGGCTCTGAAACTGGTTATTTGCTGGGGACTGTAAAA





TAGGATTAACTATTTCTAGTCCTGCATTTTAATTGCTGTTAGTAGGGCCATCTTACCC





ACCCTCTGAAGGACCTGACTTGGCAAGCCCAAGGCAACATTCAGAATATGGCAGCT





GAACCTCTGTGCACTTGTCTTTGGGCAGCAGCTGGGTCTTATTCTTCTCTGGCCTTCA





CAACATCCTGCAACCCAGCTCAAGGTCAGGAATGTGACAGACTCATGTCATCATATC





TCTGATGCCCAGAGAAGGGATACCATTTGCCTGAGCCTTCTCAGTACTGTTTAATCA





GCCTGTGAGAACTTTCCTTGTGAAAGGCCCTGTCTGTGCCTGGGGCTGATAAAACAG





CAAGAACGAACTGAGGAGCTGGGCAGCAGTGCAAAGCAAATACTACCAGCTTTGGT





GCCTGTAAGTGTGGCTCTTACTCATCTCACATGGAAATAAGGGCAGCCACCTTGCAG





GGCTGCTCTGAGGATTGAGCTAATACAGTGCCCTGGGCGTTGGGGTGGGGAAAGTT





GTGGAGCACCTCCTGGGGGAAGGGGGTGTCAGAGCAGGGAATCTGGGGAGTCCGAG





GGCACCTTCATCAACCCAATCTGTCATTTGAGCACCAGTCTTCACTGAGCCTCGTGG





GCAAGCTGGAGGGAAACAGGAATAAGGTCAGGCCCTGTTCTATAGGTCCCAGTGTA





GTTGCTATGGTGAGTATCTTCATTTCCCTGCTTGCCCCAGCCACCTGGAGTGAGAAG





CCCAAGAGGAAGCTGGGTGAGCTGTTTGTTTCCATGGGTCTCTGTGTTCACAGCTGA





CTCCCTTCACCAGCCAGCCCTTTCACCTGAGCCCCAGCAACAAAGGCAGTCAGGCGG





GGCTCAAAGCAGCTGCTCCAATGAAGTCAAAGAAATAAGCTCAGGGGAAGAAGCA





GGTCACCCTCCCCCACTAGGGTGCTGGGCTCACTTCCTCCTGGGGCAGTGGAGGAGG





GTGTGGTTCCAACTCAGAACAAAATGGGGCTTTTGGTTTACTTTATCACTCTTCACAG





CTCTGACCTGGACCCCTCATCCCTGCCTGTCTTGTGGTGTAAGTGCGGATCCCCCTAA





GTTGGAGGAAAGGAAACTGGCCCAAACAAAAAGGAGAGCAGTTTTCTCTGCATCAC





ATGGTAGGCCAGGAGGAGTCTAATGCCCCAGAGTTTACTCTCAGCCCCCAAAATCA





CCTAGCTAAATGTTACCTTATCTAAGAAGTCCTTAGGTTTTTTGGGGTTTGTTTTTTTT





TTTTTTGAGACAAGGTCTCACTCTCTCACCCAGACTGGAGCACAGTGGCACAATCAC





AGCTCACTGCAGCCTCAACCTCCTGGGCTCAAGCAATCGTCCCAAGTAGCTGGGACT





ATAGGCCTGCACCACCATGTCCAGCTAATTTATTTTTATTTATATTTTTTAGACAGGG





TCTCATTATGTTGCCCTGGCTGGTCTTGAACTCCTGGGTTCAAGCAGTCCTCCCACCT





CTGCCTCCCAAAGTGCTAGGTTTTTTTTTGTTTGTTTGTCTGTTTTTTGAAACAGAGTC





TTGCTCTGTCGCCTAGGCTGGAGTGCAGTGGCACGATCTCAGCTACTGCAACCTCCA





CCTCCTGGGTTCAAGTGATTCTCCTGCCTCAGCCTCCTAAGTAGTTGGGAATACAGG





CGTGTGCCAACACACCCAGCTCATTTTTGTATTTTTAGCGGAGATGGGGTTTTGCCAT





GTTGGCCAAGCTGGTCTCAAACTCCTGACCTCAGGTGATTCGCCCGCCTCAGCCTCC





CAAAGTGCTGGGTTTACAGGCGTGAGCCACCACACCCAGCCCAAGAAGTCTTTTCTG





ATCACCCACTCTTCCTTCTCTCCCAATGGCATTAGTTGTTCCCTCCTTTGCATTTTGAG





AGTATGTCCTGTAAGCCCCAAATGCAGCTTGAATCATCTGCCCATCCACCCCCTGTG





CCCAACAGTAAGCCTCCTCTAGAGTAGATACTATCTCCTGCATCTCAGTGAACCACT





GCCCAGCAAAGCAGTCTTGCTAAAACAATGACTCTAGAGATCCTAAGCTGTGTGAG





AGCTGGAGGAGAGAATTAGACTGATGGTCTGGGAAGGGATTGAATTAGTCATCTTG





TACCTTTTCTTCTTGACTTAAGTTCCAGACCTGTAGCAACCATTCCTGCTTAGACATC





CAGAACATAAGCCTATGGGTCTGTGCCTGTTGGGTCTTAGTCTGGGTGAAACTTTTC





TCTACTTCTGTCAGCTCTCCAGATGAACCACAGAAGCAGGAATGTGGGCATCATCAG





TGAAATCTCTGCATACAGCAGACAAAGGGCTGGTCCAGTGGCTGTTTATGAGGCAG





CGCTAGGAGAGCTCTGATCCAGACTCTCCCTGCAGTGAAAGGGAGGGAGCCCTTCA





TGAAGTATTGACTGCTTGAGCAGGAATTGCTTCACCAGCACCTAACTGAGTGCCTCT





CGAGCTCACATCGGTTTTCCCTCATGAGGCCACTTGGAGTCTTGCTGAGGGACTTGG





TTCTATTAGGGAAGGTGAGTTTGGGGATGGTGAGCAGGGAGGGCCTGGGGACATTG







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GCCTGGGAGTCTTGATGGTGTCTACTCTGTTCCCTCCCCAAAGACACAGACCCCTCA





AGGGCCAGTGTTTGGAGCATCGAGATGACTGGAGGTGGGAAGGGCAACATGCTTAT







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TGGCCCTTTTTTCTCAGTGATGATTGATCTTAGTTCATTCAGCCATATAGTTTTTTAG





GCCCCACGATCCCTAGGAAGATCAGGGGAACAGAGAACTGGAAGGGGCCCTGGTCC





TCCACATAGTTCCTAAGCACCTGGGCTATACCAGGCTCTGAGCAGGGCGTCATCCCA





TCACAGTCTTCAACACCACCTTGGGAGTAGGTAGTATCATCCCAGTGTTATAGAAGA





AGAGACTGAGGTGGGAAGGCAGTGGGTAGAGTGGGGACTTGGCCAGGGGCACACA





GTAGAGAGCCAGAAAACACACAGTAGAGAGCCAGGACACTCGTCTCTAAGGCCAGC





GTTCTTCCCTTTCACCTCCTTAGTATGCCATGCCAACCCTCCATTTTACACATGACGA





AACAGAGCCCCAGACAAAAGGTTGTCTTTCCCAGATCACATGGCAGGAAGAAGTAA





AGCTGACCTGAGATCCCAAGTCTTAGGAATCCCAGTCCTCAGAAAGCCACTTCTCTC





TGAGCCTTGGTTTTCACATTTGTCAGATGGAAATGATTGTGATTTCTCAGGGCTGTTG





AGCAGGTAAATGAAAATGTTTTATGAAAGAAAGCACCAAGTTTCATTTTGGTCTTAG





CCCTTGCTATGTCCCTAGCAAGAAGTAGATATTCATAGGGATATTTTGTTTGATGTG





AGGAGTTCTTACAGCAAGAGCTTGTAGAAGGCCAAAAGCTTCTGGATTCTATTCCCA





AAAGCAGGAGATGACAGTGACAGGGTGGTTTTGGTGAGGAGAGATGAGGTAGAAA







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AGACGGTGCTGGGTCTCACCCTTCCCCCATGCCAGGAGCAGGTGCGGGGGTCTAGCT





GACACCAGAAGACCACATCTTTTCATCCTATTTGCCCTTTGCAGGGAGAGTAAGATA





TCTCTTACTTGCCATATTGAAGCCAATTGGGATGAAGCTCCCACTTTGCACATTGAG





GAACTGAGGCTAGATTGGCAAAATGACTCTTTCAGGTCCTCAGAAGATGTCTCAGCT





GGAGTCCCTGTCTGTTTTTGTTTTTTTGTTTGTTTGTTTTTTGTTTTTTTTGAGATAGAG





TCTCACTCTGTTACCCGTGTAATCTCAGCTCACTGCAACCTTCTCCTCCTGGGTTCAA





GCGATTCTTGTGCCTCAGCCTCCCGAGTAGCTGGGATGACAGGTGTGCACCAGCACA





CTGGCTAATTTTTGTATTTTTAGTAGAGATGGAGTTTCACCATGTTAGCCAGGCTGGT





CTCGAACTCCTGGCCTCAAGTGATCTGCCCACCTTGGCCTCCCAATGTGCTGGGATT





ACAGGTGTGAGCCTCTGCGCCCCATCCTCTTGTTTGTTTTTTGAGACAGGGTCTTGCT





CGGTTGCCCAGGCTGGAGTGCAGTGGGGTGATTAATGGCTCATTGCAGCCTCGACCT





CCCTGACTCAAGCAATCCTCCCACCTCAGCCTCCTGAGTAGCTGGGGCTGACTACAG





GCATGCACACTGTGCCTGGCTAATTTTTGTATTTTGTAGAGACAGGGTTTTTGCCATG





TTACCCAGTCTGGTCTTGAACTCCTGGGCTCAAGTGATCCACCCACCTCGGCCTCCA





AAAGAAGTCCTGGATTACAGGCATGAGACATTGTGCCCAGCCTCTCTGTCTCTTTAA





AATCATGAAAACTCGTAGCTACTTAAGTAATTCTCCTGCCTTCTGGAATGATGGGTG







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GGTGAGCCTCTGGTCCTCCCCACCCAGTTCAGGCCTCTTGGCTATGCATGTCTATTGT





GGGTGGGAGAGAACCACCTGGAAGTGAGTAGCAGCCAAGTGTGACTATTTCTGATC





CTGGTCCTGGCATTTCACCAGCATTCACCTATCCCCTTAATTCCTTCCTCCCAGAATT





GCTACCATCACTGTTTATTAGGTGTTAAATGGAGACTCAAAGGGAATTCATGCTTAT





AGCCAAGCAGCTGTGAGCTCAGTTCATTGAGTCCTCCCAGCCTCCTTTGGGACAGAG





CAACTGGGTTGGATTGAATACCAGGCCCAGTGAGGGAAGTGGGAGGTGGAGGTGCC







embedded image






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CTCTCTTGTAGCTCTTACCAGAGGTCTTGGTCCAATGGCCTTTTTGGTACCTGGTGGG





CAGGGGAGGAACCACCTGACTTTGAAAATGGGTGTGATCCACCTTCCACCTCCAGC





ATCCAATCTGAAGCCCGTGTAGGTCATCTGGTCCATTTCTCTCTAGACCCAGGCCCT





GTACTAACATGGGGAGTGCAGGAGCCACCTGAGAGACAGCAGTGCCTCCCCTTCCT





TTGCCGGGCCACTTGAGCTCTTACTCAGAATCTGGTACTCTAGTGCCTGCCATCCCA





ACCCCCCACCCCAGCCGCAGGCCTGTTTATCTGCACAACAAGAGTGCTCCTGTGTGC





CCTGCATCTCCTGCAGTTCCAGAGGAACATGAGACTCTTAGATGCTGTTGACTTTATT





TTATTCCATTTTACAAATGGAAGGAAGACCCACCTCCCCCAAAGTCCCAGACCTTGT





GAGAACAAGTCAGTCAGCCTCCTTCCACCCTCCACAGCCACAGCCACACCCACAGA





GGAAATGTTACTGAACTGGGTGGAGCAGGCCCTGACTCCACAGAGGGTGGGTGGAG





GCTGCAGGGCAAACATCTGGTCTCTGCCTGAGGATACTTTCCATTTGTGTTTTTTGTT





GTTTTGAGACAGAGTCTCACTTGCTGTCACCCAGGCTGGAGTGCAGTGGTGCAATCT





TGGCTCACTGCAACCTCTCCCAGGTTCAGGCGATTCTCCTGCCTCAGCCTCCCAAGT





AGCTGGGATTACAGGCATACACCATCATACCTGGCTAATTTTTGTGTTTTTGGTAGA





AACGGGGTTTTGCCATGTTGGCCAGGCTGGTCTCAAACTCCTGACCTCAAGTGATCC





ACCTACCTCAGCCTCCCAAAGTGCTGGGATTACAGGCATGAGCCACTGTGCCTGGCC





AGGATATTTTCCATTTGGAGTCTCACCACCACAACCCCCCTCCACCTGCCCCTGCCCC





AGCTAGGCATCCAAGGAGGCCGCAAGAAGCCAGGGCCTTGGCTGCACAGGGGTCTC





CGCTTCTCTGTCCCTGTTCTTATCACCTGCACTCAGAGGCAGGTGGGCAGGGGTACT





ACAATTTCAAGGAGTGGAGACTGTGAGGTCCTGGAATCCCAAGGCATCTCCTGTAG





GGCTGGGCCCTTAGAATTATGTCACTCAGACCCAGTTTGTAGGTGTCTGAAGAAACT





GAGGCCTGACACAGGTGATGCAGGCAAGAACACCCAGAAAGTCCACTACTGAACTG





GGACCGGGACCCAGTCCTCCTTCCCCTTGTGGACTCCCCCAGAGACCAGTGCTGGGG





TCCTTGGGGAAGCCTGTTTGGCAGCTGTGGAGCTAGGCCCTGAGAACACGACCACC





CTCCCTCTTCCCTCAGCCTCAAGCCGCTGAAGCCACTGCTGCTTCGCCGCCTCGTAA





GCCCAATGGTCAGAGCTGGAGGCTAGACCCTTCAGTGCTTGGGTTGAGGGCCAGGG





TGTTAGATTGGTTTTTGGAGAAGGAACGAGGGCCCAGGATTCTTCAGCTTCTTAGTT





TTTGACAAATTGAGCTGAGGCCCCATAGTCCTCGGGAGGGACAGGGTTGAGTGCCA





TAAGTCGGCAAACCAGGGTAAAGGTGACAGGCAGCTCAGCCAGGCTGCAGGGGGTG





GCATATACAGAGGACCTGGCCACTACTTTATGTACCTTCTTACACTAATTCTGTGAG





GCAGGCTGTTTGTTAGCTCTGCTCTGGACGGGAAGAAGTAGGGGCAGTTTGGTAGGT





GTGTGTCAAAGCTAAACAGGCTGGGTGGGCATGAGCAAGTCAGCTGGTTCATTCAG





CAGCCTTAATAGACACGAGGCTACCCAACTTCACTGTGGTTCTGGGTGTGGCCTTAG





GACAATGAGCTGGGAACAGTGGTAGGAACCACTGGAAAACATACCAGTGGGTCTCA





TTCATTCTGATCACAGGTAGATCACTTCTCTTTGGTTCCCAACCCTTTAATGCCTATT





AAG








Claims
  • 1. A method of modulating respiratory chain uncoupling in a cell, the method comprising contacting the cell with a miRNA agent that modulates activity of at least one mitochondrial uncoupler.
  • 2. The method of claim 1, wherein the cell is a pre-adipocyte, adipocyte, adipose tissue derived mesenchymal stem cell, hepatocyte, myocyte, or a precursor thereof.
  • 3. A method of modulating thermogenesis in a tissue, the method comprising contacting the tissue with a miRNA agent that modulates activity of at least one mitochondrial uncoupler.
  • 4. The method of claim 3, wherein the tissue is brown fat, white fat, subcutaneous adipose tissue, liver or muscle.
  • 5. The method of claim 4, wherein the tissue is contacted with the miRNA agent ex vivo.
  • 6. A method of treating obesity in human subject in need of treatment thereof, the method comprising administering to the human subject an effective amount of a miRNA agent that modulates activity or expression of at least one mitochondrial uncoupler.
  • 7. The method of claim 6, wherein the human subject selected for treatment has a genetic or epigenetic predisposition to obesity.
  • 8. The method of any one of the preceding claims, wherein the mitochondrial uncoupler is UCP1 or UCP2.
  • 9. The method of any one of the preceding claims, wherein the miRNA agent is a miRNA selected from the group consisting of hsa-miR-1-1, hsa-miR-1-2, miR-19a-b, hsa-miR-105, hsa-miR-1283, hsa-mir-129, hsa-miR-133a-1, hsa-miR-133a-2, hsa-miR-143, hsa-mir-143-5p, hsa-mir-147, hsa-mir-149, hsa-mir-199a, hsa-mir-199b, hsa-mir-200c, hsa-mir-204, hsa-mir-205, hsa-miR-206, hsa-mir-21, hsa-mir-211, hsa-mir-218, hsa-mir-218-1, hsa-mir-218-2, hsa-mir-219-2, hsa-mir-219-2-3p, hsa-mir-22, hsa-mir-22-3p, hsa-mir-22-5p, hsa-mir-24-2, hsa-miR-30a-e, hsa-miR-3177-5p, hsa-mir-325, hsa-mir-331, hsa-mir-331-5p, hsa-miR-3613-3p, hsa-mir-362, hsa-mir-362-5p, hsa-miR-3658, hsa-mir-367, hsa-mir-371, hsa-mir-371-5p, hsa-mir-377, hsa-mir-378, hsa-mir-378a-5p, hsa-mir-382, hsa-mir-383, hsa-mir-422a, hsa-mir-425, hsa-miR-455-3p, hsa-miR-455-5p, hsa-miR-491, hsa-mir-508, hsa-mir-508-5p, hsa-mir-512-1, hsa-mir-512-2, hsa-miR-515-3p, hsa-mir-519e, hsa-miR-520a, hsa-mir-543, hsa-mir-545, hsa-mir-549, hsa-mir-556, and hsa-miR-568, hsa-mir-620, hsa-mir-643, hsa-mir-654-3p, hsa-miR-7a-g, hsa-mir-765, hsa-mir-871, hsa-mir-888, hsa-mir-888-3p, hsa-mir-92b, hsa-mir-93, hsa-mir-96, and hsa-mir-99a.
  • 10. The method of any one of the preceding claims, wherein the miRNA agent is a miRNA selected from the group consisting of the miRNAs set forth in Tables 1, 11, 13 and 14.
  • 11. The method of any one of the preceding claims, wherein the miRNA agent is an agomir or antagomir of a miRNA selected from the group consisting of hsa-miR-1-1, hsa-miR-1-2, miR-19a-b, hsa-miR-105, hsa-miR-1283, hsa-mir-129, hsa-miR-133a-1, hsa-miR-133a-2, hsa-miR-143, hsa-mir-143-5p, hsa-mir-147, hsa-mir-149, hsa-mir-199a, hsa-mir-199b, hsa-mir-200c, hsa-mir-204, hsa-mir-205, hsa-miR-206, hsa-mir-21, hsa-mir-211, hsa-mir-218, hsa-mir-218-1, hsa-mir-218-2, hsa-mir-219-2, hsa-mir-219-2-3p, hsa-mir-22, hsa-mir-22-3p, hsa-mir-22-5p, hsa-mir-24-2, hsa-miR-30a-e, hsa-miR-3177-5p, hsa-mir-325, hsa-mir-331, hsa-mir-331-5p, hsa-miR-3613-3p, hsa-mir-362, hsa-mir-362-5p, hsa-miR-3658, hsa-mir-367, hsa-mir-371, hsa-mir-371-5p, hsa-mir-377, hsa-mir-378, hsa-mir-378a-5p, hsa-mir-382, hsa-mir-383, hsa-mir-422a, hsa-mir-425, hsa-miR-455-3p, hsa-miR-455-5p, hsa-miR-491, hsa-mir-508, hsa-mir-508-5p, hsa-mir-512-1, hsa-mir-512-2, hsa-miR-515-3p, hsa-mir-519e, hsa-miR-520a, hsa-mir-543, hsa-mir-545, hsa-mir-549, hsa-mir-556, and hsa-miR-568, hsa-mir-620, hsa-mir-643, hsa-mir-654-3p, hsa-miR-7a-g, hsa-mir-765, hsa-mir-871, hsa-mir-888, hsa-mir-888-3p, hsa-mir-92b, hsa-mir-93, hsa-mir-96, and hsa-mir-99a.
  • 12. The method of any one of the preceding claims, wherein the miRNA agent is an agomir or antagomir of a miRNA selected from the group consisting of the miRNA set forth in Tables 1, 11, 13 and 14.
  • 13. The method of any one of the preceding claims wherein the miRNA agent is an antagomir of a miRNA selected from the group consisting of hsa-miR-19b-2-5p, hsa-miR-21-5p, hsa-miR-130b-5p, hsa-miR-211, hsa-miR-325, hsa-miR-382-3p/5p, hsa-miR-543, hsa-miR-515-3p, and hsa-miR-545.
  • 14. The method of any one of the preceding claims wherein the miRNA agent is an antagomir of a miRNA selected from the group consisting of hsa-miR-331-5p, hsa-miR-552, hsa-miR-620, and hsa-miR-1179.
  • 15. The method of any one of the preceding claims, wherein the miRNA agent is linked to targeting moiety.
  • 16. The method of any one of the preceding claims, wherein the targeting moiety is an aptamer.
  • 17. The method of any one of the preceding claims, wherein the targeting moiety delivers the miRNA agent to a specific cell type or tissue.
  • 18. The method of any one of the preceding claims, wherein the miRNA agent directly binds to the mRNA or promoter region of at least one mitochondrial uncoupler.
  • 19. The method of any one of the preceding claims, wherein the miRNA agent directly binds to the 5′UTR or coding sequence of the mRNA of at least one mitochondrial uncoupler.
  • 20. The method of any one of the preceding claims, wherein the miRNA agent modulates the activity of an activator or repressor of a mitochondrial uncoupling protein.
  • 21. The method of claim 18, wherein the activator or repressor is selected from the group consisting of the activators or repressors set forth in Table 2.
  • 22. The method of claim 20 or 21, wherein the miRNA agent directly binds to the mRNA or promoter region of the activator or repressor.
  • 23. The method of claim 20 or 21, wherein the miRNA agent directly binds to the 5′UTR or coding sequence of the mRNA of the activator or repressor.
  • 24. The method of any one of the preceding claims, wherein the mRNA or protein expression of the mitochondrial uncoupling protein is upregulated.
  • 25. The method of any one of the preceding claims, wherein the mitochondrial uncoupling activity of the mitochondrial uncoupling protein is upregulated.
  • 26. A method of screening for a miRNA agent that modulates thermogenesis, the method comprising: a) providing an indicator cell comprising a human genome;b) contacting the indicator cell with a test miRNA agent; andc) determining the cellular activity of at least one thermogenic regulator in the indicator cell in the presence and absence of the miRNA agent, wherein a change in the activity of the thermogenic regulator in the presence of the test miRNA agent identifies the test miRNA agent as a miRNA agent that modulates thermogenesis.
  • 27. The method of claim 26, wherein the cell is an adipocyte, adipose tissue derived mesenchymal stem cell, hepatocyte, myocyte, or a precursor thereof.
  • 28. The method of claim 26, wherein the cellular activity of the thermogenic regulator determined in step (c) is the mRNA expression level, protein expression level or mitochondrial uncoupling activity of the thermogenic regulator.
  • 29. The method of any one of the preceding claims, wherein the thermogenic regulator is UCP1.
  • 30. An agomir or antagomir that modulates the activity of at least one thermogenic regulator in a cell.
  • 31. The agomir or antagomir of claim 30, which is an agomir or antagomir of a miRNA selected from the group consisting of the miRNA set forth in Tables 1, 11, 13 and 14.
  • 32. The agomir or antagomir of claim 30, which is an agomir or antagomir of a miRNA selected from the group consisting of hsa-miR-1-1, hsa-miR-1-2, miR-19a-b, hsa-miR-105, hsa-miR-1283, hsa-mir-129, hsa-miR-133a-1, hsa-miR-133a-2, hsa-miR-143, hsa-mir-143-5p, hsa-mir-147, hsa-mir-149, hsa-mir-199a, hsa-mir-199b, hsa-mir-200c, hsa-mir-204, hsa-mir-205, hsa-miR-206, hsa-mir-21, hsa-mir-211, hsa-mir-218, hsa-mir-218-1, hsa-mir-218-2, hsa-mir-219-2, hsa-mir-219-2-3p, hsa-mir-22, hsa-mir-22-3p, hsa-mir-22-5p, hsa-mir-24-2, hsa-miR-30a-e, hsa-miR-3177-5p, hsa-mir-325, hsa-mir-331, hsa-mir-331-5p, hsa-miR-3613-3p, hsa-mir-362, hsa-mir-362-5p, hsa-miR-3658, hsa-mir-367, hsa-mir-371, hsa-mir-371-5p, hsa-mir-377, hsa-mir-378, hsa-mir-378a-5p, hsa-mir-382, hsa-mir-383, hsa-mir-422a, hsa-mir-425, hsa-miR-455-3p, hsa-miR-455-5p, hsa-miR-491, hsa-mir-508, hsa-mir-508-5p, hsa-mir-512-1, hsa-mir-512-2, hsa-miR-515-3p, hsa-mir-519e, hsa-miR-520a, hsa-mir-543, hsa-mir-545, hsa-mir-549, hsa-mir-556, and hsa-miR-568, hsa-mir-620, hsa-mir-643, hsa-mir-654-3p, hsa-miR-7a-g, hsa-mir-765, hsa-mir-871, hsa-mir-888, hsa-mir-888-3p, hsa-mir-92b, hsa-mir-93, hsa-mir-96, and hsa-mir-99a.
  • 33. The agomir or antagomir of claim 30, which is an antagomir of a miRNA selected from the group consisting of hsa-miR-19b-2-5p, hsa-miR-21-5p, hsa-miR-130b-5p, hsa-miR-211, hsa-miR-325, hsa-miR-382-3p/5p, hsa-miR-543, hsa-miR-515-3p, and hsa-miR-545.
  • 34. The agomir or antagomir of claim 30, which is an antagomir of a miRNA selected from the group consisting of hsa-miR-331-5p, hsa-miR-552, hsa-miR-620, and hsa-miR-1179.
  • 35. The agomir or antagomir of any one of claims 30-34, wherein the agomir or antagomir is linked to targeting moiety.
  • 36. The agomir or antagomir of claim 35, wherein the targeting moiety is an aptamer.
  • 37. The agomir or antagomir of claim 35 or 36, wherein the targeting moiety delivers the agomir or antagomir to a specific cell type or tissue.
  • 38. The agomir or antagomir of any one of claims 28-33, wherein the agomir or antagomir directly binds to the mRNA or promoter region of at least one mitochondrial uncoupler.
  • 39. The agomir or antagomir of any one of claims 30-37, wherein the agomir or antagomir directly binds to the 5′UTR or coding sequence of the mRNA of at least one mitochondrial uncoupler.
  • 40. The agomir or antagomir of any one of claims 30-37, wherein the agomir or antagomir modulates the activity of an activator or repressor of a mitochondrial uncoupling protein.
  • 41. The agomir or antagomir of any one of claims 30-37, wherein the activator or repressor is selected from the group consisting of the activators or repressors set forth in Table 2.
  • 42. The agomir or antagomir of any one of claims 30-37, wherein the agomir or antagomir directly binds to the mRNA or region promoter of the activator or repressor.
  • 43. The agomir or antagomir of any one of claims 30-37, wherein the agomir or antagomir directly binds to the 5′UTR or coding sequence of the mRNA of the activator or repressor.
  • 44. A pharmaceutical composition comprising two or more miRNAs selected from the group consisting of hsa-let-7a agomir, hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-1 antagomir, hsa-miR-19b agomir, hsa-miR-19b antagomir, hsa-miR-30b agomir, and hsa-miR-30b antagomir.
  • 45. The pharmaceutical composition of claim 44, further comprising a pharmaceutically acceptable excipient.
  • 46. The pharmaceutical composition of claim 44, wherein the two or more miRNAs are expressed from a recombinant vector.
  • 47. The pharmaceutical composition of claim 47, wherein the recombinant vector is selected from the group consisting of DNA plasmids, viral vectors and DNA minicircles.
  • 48. The pharmaceutical composition of claim 44, comprising two or more miRNAs selected from the group consisting of hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-19b agomir, and hsa-miR-30b agomir.
  • 49. The pharmaceutical composition of claim 48, further comprising a pharmaceutically acceptable excipient.
  • 50. The pharmaceutical composition of claim 48, wherein the two or more miRNAs are expressed from a recombinant vector.
  • 51. The pharmaceutical composition of claim 48, wherein the recombinant vector is selected from the group consisting of DNA plasmids, viral vectors and DNA minicircles.
  • 52. A method of inducing pre-adipocytes to differentiate into adipocytes comprising administering to a population of pre-adipocytes one or more miRNAs selected from the group consisting of hsa-let-7a agomir, hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-1 antagomir, hsa-miR-19b agomir, hsa-miR-19b antagomir, hsa-miR-30b agomir, and hsa-miR-30b antagomir.
  • 53. The method of claim 52, wherein the induction of pre-adipocytes to differentiate into adipocytes is greater than the differentiation of pre-adipocytes to adipocytes than when pre-adipocytes are exposed to 100 nM rosiglitazone for two days followed by maintenance medium.
  • 54. The method of claim 52, wherein the one or more miRNAs are selected from the group consisting of hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-19b agomir, and hsa-miR-30b agomir.
  • 55. A method of decreasing the lipid content of adipocytes comprising administering to a population of adipocytes one or more miRNAs selected from the group consisting of hsa-let-7a agomir, hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-1 antagomir, hsa-miR-19b agomir, hsa-miR-19b antagomir, hsa-miR-30b agomir, and hsa-miR-30b antagomir.
  • 56. The method of claim 55, wherein the lipid content of the adipocytes is less than the fat content of adipocytes exposed to 100 nM rosiglitazone for two days followed by maintenance medium.
  • 57. The method of claim 55, wherein the lipid content of the adipocytes is less than the fat content of adipocytes exposed to 100 nM rosiglitazone for the duration of culture.
  • 58. The method of claim 57, wherein the duration of culture is 8-16 days.
  • 59. The method of claim 58, wherein the duration of culture is 10-14 days.
  • 60. The method of claim 59, wherein the duration of culture is 14 days.
  • 61. The method of claim 55, wherein the one or more miRNAs are selected from the group consisting of hsa-miR-1 agomir, hsa-miR-19b agomir, and hsa-miR-30b agomir.
  • 62. A method for increasing insulin sensitivity in a subject in need thereof comprising administering the subject one or more miRNAs selected from the group consisting of hsa-let-7a agomir, hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-1 antagomir, hsa-miR-19b agomir and hsa-miR-19b antagomir, hsa-miR-30b agomir, and hsa-miR-30b antagomir.
  • 63. The method of claim 62, wherein the subject is a mammal.
  • 64. The method of claim 63, wherein the mammal is a human.
  • 65. The method of claim 62, wherein the one or more miRNAs are selected from the group consisting of hsa-miR-1 agomir, hsa-miR-19b agomir, and hsa-miR-30b agomir.
  • 66. A method of increasing expression or activity of one or more uncoupling proteins in a cell comprising administering to the cell one or more miRNAs selected from the group consisting of hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-19b agomir and hsa-miR-30b agomir.
  • 67. The method of claim 66, wherein the cell is selected from the group consisting of a brown fat cell, a white fat cell, a subcutaneous adipocyte, a liver cell or a muscle cell.
  • 68. The method of claim 66, wherein the one or more uncoupling proteins include UCP-1 or UCP-2.
  • 69. A method of causing fat loss in a subject in need thereof comprising administering the subject one or more miRNAs selected from the group consisting of hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-19b agomir and hsa-miR-30b agomir.
  • 70. The method of claim 69, wherein the subject is a mammal.
  • 71. The method of claim 70, wherein the mammal is a human.
  • 72. Use of an agomir or antagomir of one or more miRNAs selected from the group consisting of the miRNA set forth in Tables 1, 11, 13 and 14 in the manufacture of a medicament for the treatment of obesity.
  • 73. The use of claim 72, wherein the one or more miRNAs are selected from the group consisting of hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-19b agomir, and hsa-miR-30b agomir.
  • 74. The use of claim 72, wherein the agomir or antagomir is linked to targeting moiety.
  • 75. The use of claim 74, wherein the targeting moiety is an aptamer.
  • 76. A composition comprising an agomir or antagomir of one or more miRNAs selected from the group consisting of the miRNA set forth in Tables 1, 11, 13 and 14 for the treatment of obesity.
  • 77. The composition of claim 76, wherein the one or more miRNAs are selected from the group consisting of hsa-let-7a antagomir, hsa-miR-1 agomir, hsa-miR-19b agomir, and hsa-miR-30b agomir.
  • 78. The composition of claim 76, wherein the agomir or antagomir is linked to targeting moiety.
  • 79. The composition of claim 76, wherein the targeting moiety is an aptamer.
CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to U.S. Application Ser. No. 61/636,059, filed on Apr. 20, 2012; U.S. Application Ser. No. 61/681,750, filed on Aug. 10, 2012; and U.S. Application Ser. No. 61/782,838, filed on Mar. 14, 2013, each of which is hereby incorporated by reference.

PCT Information
Filing Document Filing Date Country Kind
PCT/US13/37579 4/22/2013 WO 00
Provisional Applications (3)
Number Date Country
61636059 Apr 2012 US
61681750 Aug 2012 US
61782838 Mar 2013 US