MiRNA modulators of thermogenesis

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 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 or UCP2.


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 A. 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 A. In certain embodiments of all of the above aspects, the miRNA agent is a seed sequence of a miRNA listed in Table A.









TABLE A





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 Table 7. 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 8. In certain embodiments of all of the above aspects, the miRNA agent is a seed sequence of a miRNA listed in Table 8.


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 A.


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 7.


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 1.


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 Table 8.


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 A.


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 1.


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 mM 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.



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 between the visual inspection and alignment of nucleotide sequences set forth herein, and the 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.



FIGS. 7A and 7B depict exemplary positive (A) and negative (B) transcriptional regulators of the UCP1 gene.



FIG. 8A depicts the location of various regulatory elements in reference to the transcription start site in the 15,910 base pair (bp) human UCP1 gene sequence (NCBI Reference Sequence: gi|237858805|ref|NG_012139.1|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 in the 15,174 bp 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 unlabeled cells or cells transfected with a Dy547 labeled non-targeting miRIDIAN mimic and hairpin inhibitor.



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



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



FIG. 11A is a light micrograph of preadipocytes stained with Oil Red O cultured for 2 weeks in maintenance medium without rosiglitazone.



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



FIG. 11C is a light micrograph of preadipocytes stained with Oil Red 0 cultured in the presence of insulin, triiodothyronine, dexamethasone, isobutyl-methylxanthine and rosiglitazone throughout the experiment.



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



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



FIG. 11F is a light micrograph of preadipocytes stained with Oil Red O cultured in the presence of 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 preadipocytes.



FIG. 13 is a bar graph showing relative fluorescence in unlabeled cells and cells transfected with a Dy547 labeled non-targeting miRIDIAN mimic or hairpin inhibitor.



FIG. 14A is a bar graph showing the reduction of GAPDH expression in cells transfected with siRNA control and a GAPDH siRNA 4 days after transfection.



FIG. 14B is a bar graph showing the reduction of GAPDH expression in cells transfected with siRNA control and a GAPDH siRNA 12 days after transfection.



FIG. 15 is a bar graph showing the amount of lipids in mature adipocytes using Nile Red Dye exposed to various miRNAs.



FIG. 16 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. 17 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. 18 is a schematic showing a Venn diagram showing that the numbers of genes significantly downpregulated 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 that was commonly downregulated by the listed miRNA analogs.



FIG. 19 is a bar graph showing the amounts of RNA extracted from mature adipocytes exposed to various transfecting agents.



FIG. 20 is a bar graph showing reduction of GAPDH expression in mature adipocytes transfected with a GAPDH-specific miRNA mimic using various transfecting agents.





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 Table A. 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 Table A. 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 1 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 1.


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 Table A and/or Table 8, 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, CH, ˜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 ami noalkylphosphoramidates, 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, OCH3O(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-bromouraci1, 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 upregulating 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., ScientificWorld 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-19 agomir, 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 mM 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-19 agomir, 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 ¾ 45, ALT ¾ 35) 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 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 1. 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: 107-111). 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 1.









TABLE 1







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 around 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 one set forth in FIG. 1, 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 2A.









TABLE 2A







Exemplary bioinformatics tools used to select miRNAs and their targets.









Field & Name
Function
Web Address





Integrated Data




Mining (8)




BioCarta
Catalogs and summarizes important
biocarta.com



resources providing information for




over 120,000 genes from multiple




species. Find both classical




pathways as well as current




suggestions for new pathways



Database for
Integrated biological
david.abcc.ncifcrf.gov/home.jsp


Annotation,
knowledgebase and analytic tools



Visualization and
aimed at systematically extracting



Integrated
biological meaning from large



Discovery
gene/protein lists



(DAVID)




GeneOntology
Standardizing the representation of
geneontology.org/



gene and gene product attributes




across species and databases



Gene Set
Computational method that
broadinstitute.org/gsea/index.jsp


Enrichment
determines whether an a priori



Analysis (GSEA)
defined set of genes shows




statistically significant, concordant




differences between two biological




states (e.g. phenotypes).



KEGG
Kyoto Encyclopedia of Genes and
genome.jp/kegg/



Genomes



PubGene
Connecting up-to-date information
pubgene.org/



on genes and related terms



Reactome
An open-source, open access,
reactome.org/ReactomeGWT/entrypoint.html



manually curated and peer-




reviewed pathway database.



STRING
Database of known and predicted
string-db.org/



protein interactions; direct




(physical) and indirect (functional)




associations



miRNA Mining




& Mapping (8)




deepBase
Platform for annotating and
deepbase.sysu.edu.cn/



discovering small and long ncRNAs




(microRNAs, siRNAs, piRNAs . . . )



Human
Contains miRNA names, disease
202.38.126.151/hmdd/mirna/md/


microRNA
names, dysfunction evidences, and



disease database
the literature PubMed ID



(HMDD)




miRBase V19
Searchable database of published
mirbase.org/



miRNA sequences and annotation



miRGen 2.0
Database of microRNA genomic
diana.cslab.ece.ntua.gr/mirgen/



information and regulation



miRNAMap
Experimentally verified microRNAs
mirnamap.mbc.nctu.edu.tw/



Shows tissue expression profile



miRSel
Automated extraction of
services.bio.ifi.lmu.de/mirsel/



associations between microRNAs




and genes from the biomedical




literature



miRStart
Database of human microRNA
mirstart.mbc.nctu.edu.tw/home.php



TSSs (transcription start sites)



miR2Disease
A manually curated database
mir2disease.org



providing a comprehensive resource




of miRNA deregulation in various




human diseases



miRNA Targets




& Expression




(21)




DIANA-microT
Algorithm based on several
diana.cslab.ece.ntua.gr/microT/


3.0
parameters calculated individually




for each microRNA and it combines




conserved and non-conserved




microRNA recognition elements




into a final prediction score.



DIANA-
Algorithm that can identify
diana.cslab.ece.ntua.gr/hexamers/


mirExTra
microRNA effects to the Expression




levels of protein-coding transcripts,




based on the frequency of six




nucleotide long motifs in the 3′UTR




sequences of genes.



GSEA Molecular
Gene sets that contain genes sharing
broadinstitute.org/gsea/index.jsp


Signatures
a 3′-UTR microRNA binding motif



Database v3.0
(n = 221)



MicroCosm
Computationally predicted targets
ebi.ac.uk/enright-srv/microcosm/cgi-bin/targets/v5/download.pl


Targets
for microRNAs across many




species. The miRNA sequences are




obtained from the miRBase




Sequence database and most




genomic sequence from EnsEMBL



MicroInspector
A scanning software for detection
bioinfo.uni-plovdiv.bg/microinspector/



of miRNA binding sites using




hybridization temperature and free




energy cut-off value



microRNA.org
Predicted microRNA targets &
microrna.org/microrna/home.do


(ex. miRanda)
target downregulation scores.




Experimentally observed




expression patterns.



miRDB
Online database for miRNA target
mirdb.org/miRDB/



prediction and functional




annotations in animals by a new




bioinformatics tool analyzing




thousands of genes impacted by




miRNAs with an SVM learning




machine.



miRTarBase
Has accumulated more than three
mirtarbase.mbc.nctu.edu.tw/index.html



thousand miRNA-target




interactions (MTIs), which are




collected by manually surveying




pertinent literature



miRTar.Human
An integrated web server for
mirtar.mbc.nctu.edu.tw/human/download.php



identifying miRNA-target




interactions. Identifies the biological




functions and regulatory




relationships between a group of




known/putative miRNAs and




protein coding genes. It also




provides perspective of information




on the miRNA targets on




alternatively spliced transcripts in




human



miRvestigator
Takes as input a list of co-expressed
mirvestigator.systemsbiology.net/



genes and will return the most likely




miRNA regulating these genes. It




does this by searching for an over-




represented sequence motif in the




3′UTRs of the genes using Weeder




and then comparing this to the




miRNA seed sequences in miRBase




using our custom built




miRvestigator hidden Markov




model (HMM)



mirZ
A server that provides statistical
mirz.unibas.ch/ElMMo2/



analysis and data mining tools




operating on up-to-date databases




of sequencing-based miRNA




expression profiles and of predicted




miRNA target sites



MultiMiTar
A Support Vector Machine (SVM)
isical.ac.in/~bioinfo_miu/multimitar.htm



based classifier integrated with a




multiobjective metaheuristic based




feature selection technique.



PhenomiR
Provides information about
mips.helmholtz-muenchen.de/phenomir/index.gsp



differentially regulated miRNA




expression in diseases and other




biological processes. The content of




PhenomiR is completely generated




by manual curation of experienced




annotators. Data was extracted from




more than 365 scientific articles and




resulted in more than 632 database




entries as of 02 2011



PicTar
Algorithm for the identification of
pictar.mdc-berlin.de/



microRNA targets. This searchable




website provides details (3′ UTR




alignments with predicted sites,




links to various public databases,




etc.)



PITA
Incorporates the role of target-site
genie.weizmann.ac.il/pubs/mir07/mir07_data.html



accessibility, as determined by base-




pairing interactions within the




mRNA, in microRNA target




recognition.



RepTar
Database of miRNA target
bioinformatics.ekmd.huji.ac.il/reptar/



predictions, based on an algorithm




that is independent of evolutionary




conservation considerations and is




not limited to seed pairing sites.



RNAhybrid
A tool for finding the minimum free
bibiserv.techfak.uni-bielefeld.de/rnahybrid/



energy hybridisation of a long and a




short RNA. The hybridisation is




performed in a kind of domain




mode, ie. the short sequence is




hybridised to the best fitting part of




the long one.



RNA22
First finds putative microRNA
cbcsrv.watson.ibm.com/rna22.html



binding sites in the sequence of




interest, then identifies the targeted




microRNA (IBM).



Sylamer
A system for finding significantly
ebi.ac.uk/enright/sylamer/



over or under-represented words in




sequences according to a sorted




gene list. It is used to find




significant enrichment or depletion




of microRNA or siRNA seed




sequences from microarray




expression data.



TarBase 6.0
Database of experimentally
diana.cslab.ece.ntua.gr/DianaToolsNew/index.php?r=tarbase/index



supported microRNA targets.



TargetScanHuman
Predicts biological targets of
targetscan.org/


6.2
miRNAs by searching for the




presence of conserved 8mer and




7mer sites that match the seed




region of each miRNA, using 6




features: site-type contribution, 3′




pairing contribution, local AU




contribution, position contribution,




TA (target site abundance)




contribution, SPS (seed-pairing




stability) contribution.



Integrated




miRNA Targets




& Expression




Tools (13)




GOmir
Integrates the predicted target genes
bioacademy.gr/bioinformatics/projects/GOmir/



from TargetScan, miRanda,




RNAhybrid and PicTar




computational tools and also




providing a full gene description




and functional analysis for each




target gene.



MAMI
Compiles predictions from five
mami.med.harvard.edu/


(MetaMiR:Target
different miRNA target prediction



Inference)
algorithms (TargetScanS, miRanda,




microT, miRtarget, and




picTar).



mimiRNA
Allows the visualization of miRNA
mimirna.centenary.org.au/mep/formulaire.html



expression levels in 188 different




tissue or cell types, provides a




robust statistical method for




discovering functional interactions




between miRNAs and mRNA




genes. Uses a novel sample




classification algorithm, ExParser,




that allows mimiRNA to




automatically classify imported




experiments with




minimal curation



MMIA
Integrates the predicted target genes
147.46.15.115/MMIA/index.html


(microRNA and
from TargetScan, PicTar, PITA



mRNA Integrated




Analysis)




mirDIP
Integrates twelve microRNA
ophid.utoronto.ca/mirDIP/



prediction datasets from six




microRNA prediction databases,




allowing users to customize their




microRNA target searches.




Combining microRNA predictions




allows users to obtain more robust




target predictions, giving you more




confidence in your microRNA




targets.



miRGator V3.0
Integrated database of miRNA-
mirgator.kobic.re.kr



associated gene expression, target




prediction, disease association and




genomic annotation, using




mirBridge, miRanda, PITA and




TargetScan. Now includes 73 deep




sequencing datasets on human




samples from GEO, SRA, and




TCGA archives



miRecords
Integrates the predictions form
mirecords.biolead.org/



DIANA-microT, MicroInspector,




miRanda, mirTarget2, miTarget,




NBmiRTar, PicTar, PITA, rna22,




RNAhybrid,




TargetScan/TargetScanS



MIRNA-
Automatically extracts miRNAs
ikp-stuttgart.de/content/languagel/html/10415.asp


DISTILLER
predicted to interact with a given




set of target genes from several




selectable public databases.



MiRonTop
Online java web tool that integrates
microarray.fr:8080/miRonTop/index



DNA microarrays or high-




throughput sequencing data to




identify the potential implication of




miRNAs on a specific biological




system. It allows a rapid




characterization of the most




pertinent mRNA targets according




to several existing miRNA target




prediction approaches (Mirbase,




miRanda, exact seed, TargetScan or




PicTar)



miRror
Integrates predictions from a dozen
proto.cs.huji.ac.il/mirror



of miRNA resources that are based




on complementary algorithms into




a unified statistical framework.



miRSystem
Database which integrates 7
mirsystem.cgm.ntu.edu.tw/



miRNA target gene prediction




programs: DIANA, miRanda,




miRBridge, PicTar, PITA, rna22,




and TargetScan.



miRWalk
Comprehensive database that
ma.uni-heidelberg.de/apps/zmf/mirwalk/index.html



provides information on miRNA on




their predicted as well as validated




binding sites on their target genes.



StarBase
Public platform for decoding
starbase.sysu.edu.cn/index.php



microRNA-target and protein-RNA




interaction maps from CLIP-Seq




(HITS-CLIP, PAR-CLIP) and




degradome sequencing




(Degradome-Seq, PARE) data.



miRNA




Secondary




Structure (5)




OligoWalk
An online server calculating
rna.urmc.rochester.edu/cgi-bin/server_exe/oligowalk/oligowalk_form.cgi



thermodynamic features of sense-




antisense hybridization. It predicts




the free energy changes of




oligonucleotides binding to a target




RNA. It can be used to design




efficient siRNA targeting a given




mRNA sequence.



PicTar RNA
The BiBiServ Tool section offers
www.pictar.org/


Studio
bioinformatics tools for a large




variety of tasks, including RNA




studio



RNA2D
Suite of programs for discovering
protein3d.ncifcrf.gov/shuyun/rna2d.html



structural features in RNAs.



Vienna RNA
RNA Secondary Structure
tbi.univie.ac.at/ivo/RNA/


Package
Prediction and Comparison.



Whitehead siRNA
Helps select siRNAs to knock down
jura.wi.mit.edu/bioc/siRNAext/


algorithm
your gene of interest



Network




Searches &




Analyses (8)




ARIADNE
Pathway analysis software helping
ariadnegenomics.com/products/pathway-studio/


Pathway Studio
to:




Interpret gene expression and




other high throughput data




Build, expand and analyze




pathways




Find relationships among genes,




proteins, cell processes and




diseases




Draw publication-quality diagrams



Cytoscape
Open source bioinformatics
cytoscape.org/



software platform for visualizing




molecular interaction networks and




biological pathways and integrating




these networks with annotations,




gene expression profiles and other




state data.



Database for
Integrated biological
david.abcc.ncifcrf.gov/home.jsp


Annotation,
knowledgebase and analytic tools



Visualization and
aimed at systematically extracting



Integrated
biological meaning from large



Discovery
gene/protein lists



(DAVID)




Genego MetaCore
An integrated knowledge database
genego.com/metacore.php



and software suite for pathway




analysis of experimental data and




gene lists based on a proprietary




manually curated database of human




protein-protein, protein-DNA and




protein compound interactions,




metabolic and signaling pathways.



Ingenuity Systems
To understand biology at multiple
ingenuity.com/products/IPA/microRNA.html


IPA
levels by integrating data from a



(Ingenuity
variety of experimental platforms



Pathway
and providing insight into the



Analysis)
molecular and chemical




interactions, cellular phenotypes,




and disease processes.



MATISSE
A program for detection of
acgt.cs.tau.ac.il/matisse/


(Module Analysis
functional modules using interaction



via Topology of
networks and expression data



Interactions and




Similarity SEts)




MIR@NT@N
a framework integrating
mironton.uni.lu



transcription factors, microRNAs




and their targets to identify sub-




network motifs in a meta-regulation




network model



NAViGaTOR
Network Analysis, Visualization, &
ophid.utoronto.ca/navigator/index.html



Graphing TORonto is a software




package for visualizing and




analyzing protein-protein interaction




networks.



Molecular




Visualization (4)




Foldit
Multiplayer online game that enlists
fold.it/portal/info/science



players worldwide to solve difficult




protein-structure prediction




problems.



PyMOL
A user-sponsored molecular
.pymol.org/



visualization system on an open-




source foundation.



Qlucore Omics
To examine and analyze data from
qlucore.com/ProdOverviewmiRNA.aspx


Explorer
miRNA experiments.



WebMol
Displays and analyzes structural
cmpharm.ucsf.edu/cgi-bin/webmol.pl



information contained in the




Brookhaven Protein Data Bank




(PDB). It can be run as an applet or




as a stand-alone application.



Information




Integration (1)




TIBCO Spotfire
Comprehensive software platform




that allows customers to analyze




data, using predictive and complex




statistics in the analysis









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.


A. 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 2B) to identify the mRNA targets of a given miRNA.









TABLE 2B





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






DIANA-microT 3.0

1
X









DIANA-mirExTra
2

X



GOmir

3


X







GSEA MSD v3.0
4



X



MAMI

5




X






MicroCosm Targets

6





X



MicroInspector

7






X



microRNA.org

8







X



mimiRNA

9








X



MMIA

10









X



miRDB

11










X



mirDIP

12











X



miRGator v3.0

13












X




miRecords

14













X



MiRNA Distiller

15














X



MiRonTop

16















X



miRror

17
















X



miRSystem

18

















X


miRTarBase
19


miRTar.Human
20


miRvestigator
21



miRWalk

22














mirZ

23


MultiMiTar
24


PhenomiR
25



PicTar

26



PITA

27


RepTar
28



RNA22

29



RNAhybrid

30



StarBase

31










Sylamer
32


TarBase 6.0
33



TargetScanHuman

34




5




4
1
10


3






























19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34








DIANA-microT 3.0




DIANA-mirExTra




GOmir

















4



GSEA MSD v3.0




MAMI

















5




MicroCosm Targets





MicroInspector





microRNA.org





mimiRNA

















4




MMIA

















3




miRDB





mirDIP

















7




miRGator v3.0

















9




miRecords

















8




MiRNA Distiller

















3




MiRonTop

















4




miRror

















9




miRSystem

















7



miRTarBase
X



miRTar.Human

X



miRvestigator


X




miRWalk




X












8




mirZ





X



MultiMiTar





X



PhenomiR






X




PicTar








X




PITA









X



RepTar









X




RNA22











X




RNAhybrid












X




StarBase













X



5



Sylamer













X



TarBase 6.0














X




TargetScanHuman
















X








1


10
8

7
3



12







Meta Tools in bold (13)



Engines called by Meta Tools in Italics (11)







Meta Tools in Bold (13)


Engines Called by Meta Tools in Italics (11)


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 3.









TABLE 3







Thermogenic regulators identified as predicted and/or validated targets


for 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







Thermogenic regulators identified as predicted and/or validated


targets for hsa-miR-22-5p









BMP7



DIO2



FNDC5



IKBKE



INSR



MAPK14



NR1H3



PPARA









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


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 4.









TABLE 4







Thermogenic regulators identified as predicted and/or validated targets


for 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







Thermogenic regulators identified as predicted and/or validated targets


for 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 5.









TABLE 5





Ranking of miRNAs according to selection critria.

















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










c) A Multiple microRNAs-One mRNA Paradigm.


A. 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|NG_012139.1| Homo sapiens uncoupling protein 1 (mitochondrial, proton carrier) (UCP1), RefSeqGene on chromosome 4) is particularly rich is regulatory element motifs:


UCP1 Gene Regulatory Elements:


1. Brown Fat Response Element 1 (BREI) Motif: CCTCTCTGCTTCTTCT [SEQ ID NO: 1]


One


Length: 16, Interval: 1,129→1,144, Mismatches: 0.


2. Brown Fat Response Element 2 (BRE2) Motif: CTCCTTGGAA [SEQ ID NO: 2]


One


Length: 10, Interval: 1,269→1,278, Mismatches: 0.


3. CRE2 Motif: ATTCTTTA


Four


Length: 8, Intervals: 1,121→1,128, 3,631→3,638, 10,982→10,989, 15,881→15,888, Mismatches: 0.


4. CREB Motif: ACGTCA


Five


Length: 6, Intervals: 1,082→1,087, 1,345→1,350, 1,348→1,343, 11,439→11,434, 13,831→13,836, Mismatches: 0.


5. DR1 Motif: TTGCCCTTGCTCA [SEQ ID NO: 3]


One


Length: 13, Interval: 1,099→1,111, Mismatches: 0.


6. DR4 Motif: ACGTCATAAAGGGTCA [SEQ ID NO: 4]


One


Length: 16, Interval: 1,082→1,097, Mismatches: 0.


7. DR4 Type RARE Motif: RGKTCANNNNRGKTCA [SEQ ID NO:5]


One


Length: 16, Interval: 1,316→1,301, Mismatches: 0.


8. ERE Motif: GCTCATACTGACCT [SEQ ID NO:6]


One


Length: 14, Interval: 1,107→1,120, Mismatches: 0.


9. PRE Motif: GTTAATGTGTTCT [SEQ ID NO:7]


One


Length: 13, Interval: 1,009→1,021, Mismatches: 0.


10. RARE Motif: TGACCACAGTTTGATCA [SEQ ID NO: 8]


One


Length: 17, Interval: 983→999, Mismatches: 0.


11. RXR Motif: AGGTCA


Twelve


Length: 6, Interval: 1,120→1,115, 1,316→1,311, 3,517→3,522, 3,560→3,555, 3,813→3,808, 5,318→5,313, 6,233→6,238, 6,831→6,836, 8,122→8,127, 9,966→9,971, 11,339→11,334, 11,412→11,407, Mismatches: 0.


12. GC Box 1 Motif: CGCCC


Seven


Length: 5, Interval: 4,593→4,589, 4,615→4,619, 4,615→4,619, 4,747→4,751, 4,765→4,769, 5,914→5,910, 13,715→13,711, Mismatches: 0.


13. GC Box 2 Motif: GCGGG


Nine


Length: 5, Interval: 4,463→4,459, 4,585→4,589, 4,593→4,597, 4,639→4,643, 4,883→4,887, 5,176→5,172, 5,929→5,933, 5,940→5,944,14,994→14,990, Mismatches: 0.


14. GT Box 1 Motif: CACCC


Twenty Five


Length: 5, Interval: 194→190, 452→448, 1,184→1,188, 1,803→1,807, 2,428→2,424, 3,037→3,041, 3,330→3,334, 4,137→4,141, 4,566→4,562, 4,599→4,595, 4,869→4,865, 5,104→5,108, 5,461→5,457, 6,237→6,241, 6,293→6,289, 8,096→8,092, 8,198→8,194, 9,649→9,645, 9,912→9,908, 12,962→12,958, 13,136→13,132, 13,723→13,719, 14,404→14,400, 14,960→14,964, 15,576→15,572, Mismatches: 0.


15. GT Box 2 Motif: GTGGG


Twenty


Length: 5, Interval: 25→21, 1,805→1,801, 1,809→1,805, 2,119→2,123, 3,854→3,850, 4,310→4,314, 4,339→4,343, 4,765→4,761, 4,867→4,871, 6,291→6,295, 7,554→7,558, 8,280→8,284, 8,681→8,685, 9,615→9,619, 9,689→9,693, 9,906→9,910, 10,363→10,359, 13,074→13,070, 13,640→13,644, 13,941→13,945, Mismatches: 0.


16. CpG Methylation Island Motif: CG


Three Hundred and Sixty Six, including many between positions 4,519 to 5,258 and 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|NG_012139.1| Homo sapiens uncoupling protein 1 (mitochondrial, proton carrier) (UCP1), RefSeqGene on chromosome 4; NCBI Reference Sequence: NG_012139.1).


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 6.









TABLE 6







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


NG_012139.1) determined using microCosm Targets.












SEQ





ID













Name
Sequence
NO
Minimum
Maximum
Length





hsa-miR-21
AATGTAATGCAGATAAGCTA
 9
14143
14162
20





hsa-miR-219-2-3p
ACATGTTTTAATTACAATTC
10
14217
14236
20





hsa-miR-22
GATTGGCAGCTT
11
14857
14868
12





hsa-miR-222a
GATTTTTAATGTTTAGAGTCCAG
12
14500
14522
23





hsa-miR-290-3p
TTTAGAGCTGGAGGGTACTT
13
14621
14640
20





hsa-miR-292-3p
TTTAGAGCTGGAGGGTACTT
14
14621
14640
20





hsa-miR-292-5p
GACAGAGGAACAGTTTGAG
15
14648
14666
19





hsa-miR-325
ATTTTGGCAGGATTGCTACTAG
16
14568
14589
22





hsa-miR-331-5p
TTTTGAGATCTATACCTGG
17
14383
14401
19





hsa-miR-362-5p
ATTTTAAGCTAAATCCAAGGATT
18
14838
14860
23





hsa-miR-367
TGACCATTTCTGGAGTGCAATT
19
14170
14191
22





hsa-miR-371-5p
ACAGTTTGAT
20
  988
  997
10





hsa-miR-371-5p
ACAGTTTGAG
21
14657
14666
10





hsa-miR-377
CTGGAGTGCAATTGTGTGA
22
14179
14197
19





hsa-miR-378
TTTTAATGTTTAGAGTCCAG
23
14503
14522
20





hsa-miR-382
TGATGACATCTCTAACAACTTC
24
14526
14547
22





hsa-miR-460
AGAAACTGAGTGAAATGCAG
25
14250
14269
20





hsa-miR-508-5p
TGACCATTTCTGGAGTG
26
14170
14186
17





hsa-miR-543
TACTCTGAATGTT
27
14478
14490
13





hsa-miR-549
TTAACCACAGTTGTCA
28
14321
14336
16





hsa-miR-643
CAAGTTCACTAGAATACAAG
29
14412
14431
20





hsa-miR-654-3p
AAGGTTACAGGCTGCCAGACAT
30
14880
14901
22





hsa-miR-664
GTGTGAATGAATG
31
14192
14204
13





hsa-miR-871
TAGGCATGAACCTACTCTGAATG
32
14466
14488
23





hsa-miR-883a-3p
AAACTGAGTGAAATGCAGTT
33
14252
14271
20





hsa-miR-883b-3p
AAACTGAGTGAAATGCAGTT
34
14252
14271
20





hsa-miR-888-3p
TTTATTAACCACAGTTGTCAGTT
35
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: NG_012139.1) as targets, revealed binding sites for a total of 50 miRNAs at 69 locations in UCP1 3′UTR as shown in Table 7.









TABLE 7







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


NG_012139.1) according to several programs.
















SEQ ID






Name
Sequence
NO
Minimum
Maximum
Length





 1
hsa-miR-1179
AAGTATCCTTT
36
15346
15356
11





 2
hsa-miR-1302
ATGGGACACA
37
15021
15030
10





 3
hsa-miR-130b
TTATTTTCCCT
38
15161
15171
11





 4
hsa-miR-146a
TGACAACTGT
39
14327
14336
10



hsa-miR-146a
AGGGAACTGA
40
15231
15240
10



hsa-miR-146a
TGTGAACTGG
41
15679
15688
10





 5
hsa-miR-181c
AACCATAGT

15304
15312
 9





 6
hsa-miR-19b-2
ACTTTTGCGG
42
14991
15000
10





 7
hsa-miR-203
TTAAATGTT

15584
15592
 9





 8
hsa-miR-204-5p
TTCCTTTATC
43
14006
14015
10



hsa-miR-204-5p
TTCCTCTGTC
44
14648
14657
10





 9
hsa-miR-21-5p
TAGCTTATCT
45
14153
14162
10





10
hsa-miR-211-5p
TTCCCTATCTC
46
14779
14789
11





11
hsa-miR-214
CAGCAAGCA
47
15052
15060
 9





12
hsa-miR-22-3p
AAGCTGCCAA
48
14859
14868
10



hsa-miR-22-5p
AGTTCTTCACA
49
14203
14213
11





13
hsa-miR-26a-2-3p
CATTTTCTTG
50
13918
13927
10



hsa-miR-26a-2-3p
CCAATCCTTG
51
14853
14862
10



hsa-miR-26a-2-3p
CCTTTTCATG
52
15616
15625
10





14
hsa-miR-30b
GTAACCTTCC
53
14878
14887
10





15
hsa-miR-325
CAGAGTAGGT
54
14475
14484
10



hsa-miR-325
CCTTGTAGGC
55
15378
15387
10





16
hsa-miR-328
CTGTTCCTCT
56
14651
14660
10





17
hsa-miR-362-5p
ATCCTTGGAT
57
14850
14859
10





18
hsa-miR-367-3p
AATTGCACTC
58
14182
14191
10





19
hsa-miR-371a-3p
AAGTGCCTGC
59
15435
15444
10



hsa-miR-371a-5p
TCTCAAACTG
60
14658
14667
10





20
hsa-miR-378a-3p
ACTGGCCTTG
61
15816
15825
10





21
hsa-miR-382-3p
ATTCATTCAC
62
14194
14203
10





22
hsa-miR-382-5p
GAAGTTGTTAGAGAT
63
14533
14547
15





23
hsa-miR-383
AGATTAGAA
64
14545
14553
 9





24
hsa-miR-421
ATTAACTGAC
65
14333
14342
10



hsa-miR-421
CTCAAAAGAC
66
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
67
15641
15650
10





29
hsa-miR-491-5p
AATGGGGAAG
68
14975
14984
10





30
hsa-miR-501-3p
ATGCATCAGG
69
15547
15556
10





31
hsa-miR-504
AGACCCTGT

15325
15333
 9




TATTCTAGTGAACTTG
70








32
hsa-miR-508-5p
ACTCTTA

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
71
15650
15659
10





37
hsa-miR-545
CAGCAAGCACT
72
15050
15060
11





38
hsa-miR-549
TGACAACTGT
73
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
74
14560
14569
10





42
hsa-miR-643
ACTGGTATGT
75
13933
13942
10



hsa-miR-643
TCTTGTATTC
76
14423
14432
10



hsa-miR-643
CCTTGTAGGC
77
15378
15387
10



hsa-miR-643
ACATGCATGC
78
15553
15562
10





43
hsa-miR-651
TTAAAATAAG
79
13988
13997
10



hsa-miR-651
TTAGGTTAAA
80
13993
14002
10



hsa-miR-651
TCATGATAAG
81
15700
15709
10





44
hsa-miR-654-3p
TATCTCTTCT
82
14775
14784
10



hsa-miR-654-3p
TATGTATACT
83
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
84
15772
15781
10





48
hsa-miR-92b-3p
ATTGCACTCC
85
14181
14190
10





49
hsa-miR-941
CACCCAGGT

14396
14404
 9





50
hsa-miR-99a-3p
AAGCTGGCTC
86
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 8). 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 8







miRNAs with predicted binding sites in the UCP1 gene sequence


(NCBI Reference Sequence: NG_012139.1).












SEQ ID














miRNA
Sequence
NO
Minimum
Maximum
Length
Direction
















hsa-let-7c
TAGAGTTTC

5918
5926
9
reverse





hsa-let-7e
GGAGGTAGG

13283
13291
9
reverse





hsa-let-7e
TGAAGTAGG

7612
7620
9
reverse





hsa-let-7e
AGAGGTAGG

3306
3314
9
reverse





hsa-let-7i-3p
CTGTGCAAG

3588
3596
9
reverse





hsa-miR-17
CAAAGTGCT

12200
12208
9
reverse





hsa-miR-17
CAAAGTGCT

9931
9939
9
reverse





hsa-miR-17
CAAAGTGCT

218
226
9
reverse





hsa-miR-19a
TGTGCAAAT

3916
3924
9
reverse





hsa-miR-19a
TGTGCAAAT

834
842
9
reverse





hsa-miR-19b-2
ACTTTTGCGG
 87
14991
15000
10
reverse





hsa-miR-19b-2
AGTTTTACAA
 88
11998
12007
10
reverse





hsa-miR-19b-2
AGTTTTGTAT
 89
10023
10032
10
reverse





hsa-miR-19b-2
AGTCTTGAAG
 90
9399
9408
10
reverse





hsa-miR-19b-2
AGGTTTGTAG
 91
7758
7767
10
reverse





hsa-miR-19b-2
AGTATTGAAG
 92
7159
7168
10
reverse





hsa-miR-19b-2
AGGCTTGCAG
 93
3546
3555
10
reverse





hsa-miR-19b-2
AATTTGGCAG
 94
529
538
10
reverse





hsa-miR-19b-2
AGTTTTGGAA
 95
312
321
10
reverse





hsa-miR-20b
CAAAGTGCT

12200
12208
9
reverse





hsa-miR-20b
CAAAGTGCT

9931
9939
9
reverse





hsa-miR-20b
CAAAGTGCT

218
226
9
reverse





hsa-miR-21-5p
TAGCTTATCT
 96
14153
14162
10
reverse





hsa-miR-22-3p
AAGCTGCCAA
 97
14859
14868
10
reverse





hsa-miR-22-3p
AAGCTTCCAG
 98
1482
1491
10
reverse





hsa-miR-22-5p
AGTTCTTCACA
 99
14203
14213
11
reverse





hsa-miR-22-5p
AATTCTTCAGG
100
8032
8042
11
reverse





hsa-miR-22-5p
GGTTCTTCAGC
101
5389
5399
11
reverse





hsa-miR-24-2-5p
TGCCTACTGGCC
102
8651
8662
12
reverse





hsa-miR-25-3p
CATTGCAC

11565
11572
8
reverse





hsa-miR-25-5p
AGGCGGAG

5963
5970
8
reverse





hsa-miR-26a-2-3p
CCTTTTCATG
103
15616
15625
10
reverse





hsa-miR-26a-2-3p
CCAATCCTTG
104
14853
14862
10
reverse





hsa-miR-26a-2-3p
CATTTTCTTG
105
13918
13927
10
reverse





hsa-miR-26a-2-3p
CCTACTCTTC
106
13505
13514
10
reverse





hsa-miR-26a-2-3p
ACGATTCTTG
107
13192
13201
10
reverse





hsa-miR-26a-2-3p
TCTATTCTTT
108
12883
12892
10
reverse





hsa-miR-26a-2-3p
CATATTTTTG
109
10197
10206
10
reverse





hsa-miR-26a-2-3p
GCTAGTCTTG
110
9978
9987
10
reverse





hsa-miR-26a-2-3p
CATATTTTTG
111
9890
9899
10
reverse





hsa-miR-26a-2-3p
CCTTTTCTTT
112
6631
6640
10
reverse





hsa-miR-26a-2-3p
CCCATTCTCG
113
4709
4718
10
reverse





hsa-miR-26a-2-3p
TTTATTCTTG
114
3893
3902
10
reverse





hsa-miR-26a-2-3p
CCTTTACTTG
115
1885
1894
10
reverse





hsa-miR-26a-2-3p
GCGATTCTTG
116
376
385
10
reverse





hsa-miR-27-5p
AGAGCTTAGG
117
2949
2958
10
reverse





hsa-miR-30b
GTAACCTTCC
118
14878
14887
10
reverse





hsa-miR-30b
GTAACCATCA
119
12991
13000
10
reverse





hsa-miR-30b
GTAATCATAC
120
12831
12840
10
reverse





hsa-miR-30b
GTCAACATCA
121
11401
11410
10
reverse





hsa-miR-30b
GTAAACATAA
122
9365
9374
10
reverse





hsa-miR-30b
GTACTCATCC
123
9016
9025
10
reverse





hsa-miR-30b
CTATACATCC
124
8586
8595
10
reverse





hsa-miR-30b
CTAAACATCT
125
7495
7504
10
reverse





hsa-miR-31
GGCTATGCC

7712
7720
9
reverse





hsa-miR-32
ATTGCACA

11564
11571
8
reverse





hsa-miR-92b
ATTGCACTCC
126
14181
14190
10
reverse





hsa-miR-92b
ATTGCACTAG
127
11282
11291
10
reverse





hsa-miR-93
CAAAGTGCTG
128
12199
12208
10
reverse





hsa-miR-93
CAAAGTGCTG
129
217
226
10
reverse





hsa-miR-93-3p
ACTCCTGGGCT
130
12356
12366
11
reverse





hsa-miR-93-3p
ACTGATAAGCT
131
11055
11065
11
reverse





hsa-miR-93-3p
ACTCCTGACCT
132
9966
9976
11
reverse





hsa-miR-96-3p
AATCATGTGCC
133
8659
8669
11
reverse





hsa-miR-99a-3p
AAGCTGGCTC
134
15117
15126
10
reverse





hsa-miR-99a-3p
AAACTCTTTC
135
13344
13353
10
reverse





hsa-miR-99a-3p
AATCTTGTTC
136
11952
11961
10
reverse





hsa-miR-99a-3p
AAGCTCCTTT
137
11050
11059
10
reverse





hsa-miR-99a-3p
AAGCTCCTTT
138
8099
8108
10
reverse





hsa-miR-99a-3p
AAGCTCTGTC
139
7523
7532
10
reverse





hsa-miR-99b-3p
CAACCTCGAG
140
13666
13675
10
reverse





hsa-miR-99b-3p
CGAGCTCCTG
141
13660
13669
10
reverse





hsa-miR-99b-3p
GAAGCTTGTG
142
6436
6445
10
reverse





hsa-miR-99b-3p
CAAACTCCTG
143
257
266
10
reverse





hsa-miR-100
TCCAGTAGAT
144
11866
11875
10
reverse





hsa-miR-100
ACGCGCAGAT
145
5634
5643
10
reverse





hsa-miR-106b-5p
CAAAGTGCTG
146
12199
12208
10
reverse





hsa-miR-106b-5p
CAAAGTGCTG
147
217
226
10
reverse





hsa-miR-126-3P
TCATACAGT

12828
12836
9
reverse





hsa-miR-126-3P
TTGTACTGT

11542
11550
9
reverse





hsa-miR-126-3P
TGGTCCCGT

7922
7930
9
reverse





hsa-miR-126-3P
TCATACAGT

932
940
9
reverse





hsa-miR-130b
TTATTTTCCCT
148
15161
15171
11
reverse





hsa-miR-130b
CTCTTTTCAGT
149
9670
9680
11
reverse





hsa-miR-130b
CTCTCTTCACT
150
8977
8987
11
reverse





hsa-miR-130b
CTCTTTTTCCC
151
8444
8454
11
reverse





hsa-miR-130b
CTTTTTCCCCT
152
6624
6634
11
reverse





hsa-miR-130b
CTATTTTCCGT
153
5742
5752
11
reverse





hsa-miR-130b
TTCCTTTCCCT
154
5007
5017
11
reverse





hsa-miR-130b
CTCTTTGCCCC
155
1845
1855
11
reverse





hsa-miR-130b
CTCCTTTCCTT
156
1033
1043
11
reverse





hsa-miR-133a-1
TTTGGTGCCC
157
7393
7402
10
reverse





hsa-miR-140-3p
TACCACAG

5893
5900
8
reverse





hsa-miR-141
TAACACTG

5852
5859
8
reverse





hsa-miR-143
GGTGCAGTG
158
4132
4140
9
reverse





hsa-miR-143-3p
TGAGATGAGG
159
13727
13736
10
reverse





hsa-miR-143-3p
TGAGATGGAG
160
10172
10181
10
reverse





hsa-miR-143-3p
TTAGATGAAG
161
9572
9581
10
reverse





hsa-miR-144-3p
TACAGTATT

12825
12833
9
reverse





hsa-miR-144-3p
TACAATATA

8859
8867
9
reverse





hsa-miR-144-3p
GACAGTATA

1491
1499
9
reverse





hsa-miR-146a
CCTCTGAAA

3499
3507
9
reverse





hsa-miR-146a
TGTGAACTGG
162
15679
15688
10
reverse





hsa-miR-146a
AGGGAACTGA
163
15231
15240
10
reverse





hsa-miR-146a
TGACAACTGT
164
14327
14336
10
reverse





hsa-miR-146a
TAAGAACTAA
165
8935
8944
10
reverse





hsa-miR-146a
TTAGAACAGA
166
7908
7917
10
reverse





hsa-miR-146a
TGAGAAGTGC
167
6926
6935
10
reverse





hsa-miR-146a
TGAAAACTTA
168
3883
3892
10
reverse





hsa-miR-146a
ACAGAACTGA
169
2259
2268
10
reverse





hsa-miR-146a
TGAGACCAGA
170
2235
2244
10
reverse





hsa-miR-146a
TGAGAAATAA
171
1614
1623
10
reverse





hsa-miR-147
TGTGTGGATAA
172
7223
7233
11
reverse





hsa-miR-147
TTTGTGCAAAT
173
3916
3926
11
reverse





hsa-miR-154
AATCATACA

12830
12838
9
reverse





hsa-miR-154
AATCATACA

934
942
9
reverse





hsa-miR-181c
AACCATAGT

15304
15312
9
reverse





hsa-miR-181c
AACCAAAGA

13244
13252
9
reverse





hsa-miR-181c
AACCATCAC

12990
12998
9
reverse





hsa-miR-181c
ATCCAGCGA

11466
11474
9
reverse





hsa-miR-181c
AAACATCTA

7494
7502
9
reverse





hsa-miR-181c
AAAAATCGA

6201
6209
9
reverse





hsa-miR-181c
AACCCCCGA

5540
5548
9
reverse





hsa-miR-181c
AACCCTCTA

3614
3622
9
reverse





hsa-miR-181c
AGCCAGCGA

3471
3479
9
reverse





hsa-miR-181c
AACCATAGG

2801
2809
9
reverse





hsa-miR-181c
AACCATCAC

194
202
9
reverse





hsa-miR-185
TGGAGAGAA

2979
2987
9
reverse





hsa-miR-192-5p
CTAACATATGAA
174
114
125
12
reverse





hsa-miR-194-1
TGTAACAGCA
175
1895
1904
10
reverse





hsa-miR-196a
AGGTAGTTT

12139
12147
9
reverse





hsa-miR-199a-5p
CCCTGTGTTC
176
5753
5762
10
reverse





hsa-miR-200a
TAACACTG

5852
5859
8
reverse





hsa-miR-200b
TAATAATGCC
177
11184
11193
10
reverse





hsa-miR-200b
GAATACTGCC
178
10340
10349
10
reverse





hsa-miR-200c-3p
TAATACTGT

12466
12474
9
reverse





hsa-miR-200c-3p
TAATAATGC

11185
11193
9
reverse





hsa-miR-200c-3p
GAATACTGC

10341
10349
9
reverse





hsa-miR-200c-3p
TAATACAGC

7594
7602
9
reverse





hsa-miR-203
TTAAATGTT

15584
15592
9
reverse





hsa-miR-203
TGAAATTTT

9782
9790
9
reverse





hsa-miR-203
TGAAAGGTT

4495
4503
9
reverse





hsa-miR-204-5p
TTCCTCTGTC
179
14648
14657
10
reverse





hsa-miR-204-5p
TTCCTTTATC
180
14006
14015
10
reverse





hsa-miR-205
TCCTTCATT

10659
10667
9
reverse





hsa-miR-208b
ATAAGAAGA

9493
9501
9
reverse





hsa-miR-208b
ATAAGAAGA

1770
1778
9
reverse





hsa-miR-211-5p
TTCCCTATCTC
181
14779
14789
11
reverse





hsa-miR-211-5p
TCCCCTCTGTC
182
5238
5248
11
reverse





hsa-miR-211-5p
TTCCCTTGCTC
183
5002
5012
11
reverse





hsa-miR-211-5p
TTCCCATTCTC
184
4710
4720
11
reverse





hsa-miR-214
CAGCAAGCA

15052
15060
9
reverse





hsa-miR-214
CAGAAGGCA

6918
6926
9
reverse





hsa-miR-214
CCGCAGGCA

5935
5943
9
reverse





hsa-miR-214
CACCAGGCA

2087
2095
9
reverse





hsa-miR-218
TGTGCTTGA

10385
10393
9
reverse





hsa-miR-302c
TTTAACATG

2932
2940
9
reverse





hsa-miR-324-5p
CGCGTCCCCT
185
4876
4885
10
reverse





hsa-miR-325
CCTTGTAGGC
186
15378
15387
10
reverse





hsa-miR-325
CAGAGTAGGT
187
14475
14484
10
reverse





hsa-miR-325
CCAAGTAGCT
188
10066
10075
10
reverse





hsa-miR-325
CCAAGTAGCT
189
354
363
10
reverse





hsa-miR-328
CTGTTCCTCT
190
14651
14660
10
reverse





hsa-miR-328
CTGGCTCCCT
191
8215
8224
10
reverse





hsa-miR-328
CTGGCCCTTC
192
8062
8071
10
reverse





hsa-miR-328
CTGGCACTCA
193
6653
6662
10
reverse





hsa-miR-328
CTGGCTTTCT
194
6496
6505
10
reverse





hsa-miR-328
CTGCCCCTCC
195
6048
6057
10
reverse





hsa-miR-328
CTGGGCCGCT
196
4804
4813
10
reverse





hsa-miR-328
CTGGAGCTCT
197
4477
4486
10
reverse





hsa-miR-328
CTGACCCTTT
198
1089
1098
10
reverse





hsa-miR-330
CAAAGCACAC
199
13845
13854
10
reverse





hsa-miR-330
CAAAGCACAC
199
11657
11666
10
reverse





hsa-miR-331-5p
CTAGGTGTGG
200
7719
7728
10
reverse





hsa-miR-361-3p
CCCCCAGG

5112
5119
8
reverse





hsa-miR-362-5p
ATCCTTGGAT
201
14850
14859
10
reverse





hsa-miR-367-3p
AATTGCACTC
202
14182
14191
10
reverse





hsa-miR-367-3p
AAATGCACTT
203
999
1008
10
reverse





hsa-miR-369
AATAATACA

2266
2274
9
reverse





hsa-miR-371a-3p
AAGTGCCTGC
204
15435
15444
10
reverse





hsa-miR-371a-3p
AAGAGCCGAC
205
11455
11464
10
reverse





hsa-miR-371a-3p
ACGTGCCACC
206
10044
10053
10
reverse





hsa-miR-371a-3p
AAGTGCCTCT
207
7047
7056
10
reverse





hsa-miR-371a-3p
AAGTGCACCC
208
5457
5466
10
reverse





hsa-miR-371a-5p
TCTCAAACTG
209
14658
14667
10
reverse





hsa-miR-372
AAAGTGCTG

12199
12207
9
reverse





hsa-miR-372
AAAGTGCTG

217
225
9
reverse





hsa-miR-374a-3p
TCATCAGATT
210
10606
10615
10
reverse





hsa-miR-377-3p
AGCACACAAA
211
13842
13851
10
reverse





hsa-miR-378a-3p
ACTGGCCTTG
212
15816
15825
10
reverse





hsa-miR-378a-3p
ACTGGTCTTG
213
11837
11846
10
reverse





hsa-miR-378a-5p
CTCCTGCCTC
214
12216
12225
10
reverse





hsa-miR-378a-5p
CTCCTGCCTC
215
10082
10091
10
reverse





hsa-miR-378a-5p
CTCCTGTCTC
216
8207
8216
10
reverse





hsa-miR-378a-5p
CTCCTAACTC
217
7650
7659
10
reverse





hsa-miR-382-3p
ATTCATTCAC
218
14194
14203
10
reverse





hsa-miR-383
AGATTAGAA

14545
14553
9
reverse





hsa-miR-383
AGATTAGAA

7912
7920
9
reverse





hsa-miR-383
AGAACAGAA

5801
5809
9
reverse





hsa-miR-412
ACTTCACCT

737
745
9
reverse





hsa-miR-421
CTCAAAAGAC
219
14380
14389
10
reverse





hsa-miR-421
ATTAACTGAC
220
14333
14342
10
reverse





hsa-miR-421
AACATCAGAC
221
11398
11407
10
reverse





hsa-miR-421
ATCAACTGAG
222
3427
3436
10
reverse





hsa-miR-421
ATCAACAGGT
223
2443
2452
10
reverse





hsa-miR-421
ATCAAAAGAT
224
2333
2342
10
reverse





hsa-miR-422a
ACTGGCCTT

15817
15825
9
reverse





hsa-miR-422a
ACTGGTCTT

11838
11846
9
reverse





hsa-miR-422a
ACTGGACGT

5847
5855
9
reverse





hsa-miR-425
AGCGGGAAGGT
225
5167
5177
11
reverse





hsa-miR-431
TGTCTGGCA

14892
14900
9
reverse





hsa-miR-431
TGTCTAGCA

9218
9226
9
reverse





hsa-miR-432-5p
TCCTGGAGT

13624
13632
9
reverse





hsa-miR-432-5p
TATTGGAGT

10785
10793
9
reverse





hsa-miR-432-5p
TCTTAGAGT

9263
9271
9
reverse





hsa-miR-432-5p
TCTTAGAGT

6666
6674
9
reverse





hsa-miR-432-5p
TCTTGGAGC

2180
2188
9
reverse





hsa-miR-452
ACATCTGC

15009
15016
8
reverse





hsa-miR-452
TCTTCTGC

14773
14780
8
reverse





hsa-miR-452
TTATCTGC

14151
14158
8
reverse





hsa-miR-452
TCCTCTGC

13488
13495
8
reverse





hsa-miR-452
TCATGTGC

8660
8667
8
reverse





hsa-miR-452
TCATCTGG

8221
8228
8
reverse





hsa-miR-452
TCATGTGC

7945
7952
8
reverse





hsa-miR-452
ACATCTGC

7508
7515
8
reverse





hsa-miR-452
CCATCTGC

6787
6794
8
reverse





hsa-miR-452
TCATCCGC

5912
5919
8
reverse





hsa-miR-452
TCATCTGT

4053
4060
8
reverse





hsa-miR-452
TCATCTCC

3667
3674
8
reverse





hsa-miR-452
TCCTCTGC

3457
3464
8
reverse





hsa-miR-452
TCTTCTGC

2210
2217
8
reverse





hsa-miR-455-3p
CAGTCCAT

13893
13900
8
reverse





hsa-miR-455-5p
TGTGTGCCTT
226
15641
15650
10
reverse





hsa-miR-455-5p
TCTGTGCCTT
227
11203
11212
10
reverse





hsa-miR-455-5p
TATGTGCTTT
228
10522
10531
10
reverse





hsa-miR-483-3p
CACTCCTC

13536
13543
8
reverse





hsa-miR-483-3p
CACTCCTC

10333
10340
8
reverse





hsa-miR-483-3p
CACTCCTC

6101
6108
8
reverse





hsa-miR-486-5p
TCATGTACT

9835
9843
9
reverse





hsa-miR-486-5p
TCCTGTCCT

6526
6534
9
reverse





hsa-miR-487a
AATCATACAG
229
12829
12838
10
reverse





hsa-miR-487a
AATCATACAG
229
933
942
10
reverse





hsa-miR-491-5p
AATGGGGAAG
230
14975
14984
10
reverse





hsa-miR-491-5p
AGAGGGGACC
231
12315
12324
10
reverse





hsa-miR-491-5p
AGTTGGGCAC
232
11555
11564
10
reverse





hsa-miR-491-5p
AGTAGAGAAC
233
6909
6918
10
reverse





hsa-miR-491-5p
GGTGAGGAAC
234
6005
6014
10
reverse





hsa-miR-491-5p
AGCGGGGCAC
235
4455
4464
10
reverse





hsa-miR-491-5p
AGTGGGAAAT
236
3846
3855
10
reverse





hsa-miR-496
TTAGTATTA

10948
10956
9
reverse





hsa-miR-496
TGAGTATAA

10768
10776
9
reverse





hsa-miR-496
TCAGTATTA

9666
9674
9
reverse





hsa-miR-501-3p
ATGCATCAGG
237
15547
15556
10
reverse





hsa-miR-501-3p
ATCCACCGGG
238
11497
11506
10
reverse





hsa-miR-501-3p
AGGCACCAGG
239
2089
2098
10
reverse





hsa-miR-504
AGACCCTGT

15325
15333
9
reverse





hsa-miR-504
AGCCCCTGG

12898
12906
9
reverse





hsa-miR-504
AGTCCCTGG

10591
10599
9
reverse





hsa-miR-504
AGACCCGGG

4767
4775
9
reverse





hsa-miR-508-3p
TGATTATAGC
240
13565
13574
10
reverse





hsa-miR-508-3p
TGAGTGTAGC
241
3231
3240
10
reverse





hsa-miR-512-3p
CAGTGCTGTC
242
13211
13220
10
reverse





hsa-miR-512-3p
AAGTGCTCTC
243
7688
7697
10
reverse





hsa-miR-512-3p
AAGTGCTCTC
243
3184
3193
10
reverse





hsa-miR-512-5p
CACTCAG

14255
14261
7
reverse





hsa-miR-512-5p
CACTCAG

13591
13597
7
reverse





hsa-miR-512-5p
CACTCAG

12291
12297
7
reverse





hsa-miR-512-5p
CACTCAG

6652
6658
7
reverse





hsa-miR-512-5p
CACTCAG

5067
5073
7
reverse





hsa-miR-514a-3p
TTGACTCTT

14406
14414
9
reverse





hsa-miR-514a-3p
TTGACAGTT

13870
13878
9
reverse





hsa-miR-514a-3p
TTAACACTT

11237
11245
9
reverse





hsa-miR-514a-3p
ATGACACTT

10617
10625
9
reverse





hsa-miR-515-3p
GTGTGCCTT

15641
15649
9
reverse





hsa-miR-515-3p
GACTGCCTT

15539
15547
9
reverse





hsa-miR-515-3p
GAGTGACTT

1371
1379
9
reverse





hsa-miR-516a-3p
TGCTTCCT

10301
10308
8
reverse





hsa-miR-517a-3p
ATGGTGCATT
244
15650
15659
10
reverse





hsa-miR-517a-3p
ATCTTGCTTC
245
10303
10312
10
reverse





hsa-miR-519b-3p
AAAGTGCAT

13782
13790
9
reverse





hsa-miR-519e-3p
AAGTGCCTC

7048
7056
9
reverse





hsa-miR-520a-5p
CTCCAGATGG

6274
6283
10
reverse





hsa-miR-545
CAGCAAGCACT
246
15050
15060
11
reverse





hsa-miR-545
CAGAACACATT
247
11639
11649
11
reverse





hsa-miR-545
CTGCAAACACT
248
3450
3460
11
reverse





hsa-miR-549
TGACAACTGT
249
14327
14336
10
reverse





hsa-miR-551b-3p
GCTACCCAT

2411
2419
9
reverse





hsa-miR-552
CACAGGTGA

15130
15138
9
reverse





hsa-miR-552
AACAGGTCA

11407
11415
9
reverse





hsa-miR-552
AACATGTGA

9513
9521
9
reverse





hsa-miR-552
AACAGGTTA

2441
2449
9
reverse





hsa-miR-552
AACAGGTAA

1569
1577
9
reverse





hsa-miR-583
AAAAGAGGA

2921
2929
9
reverse





hsa-miR-583
CAAATAGGA

2833
2841
9
reverse





hsa-miR-583
CAACGAGGA

1824
1832
9
reverse





hsa-miR-583
CAAAGAAGA

1139
1147
9
reverse





hsa-miR-593-3p
TGTCTCTGT

8204
8212
9
reverse





hsa-miR-593-3p
TGGCTCTGC

6852
6860
9
reverse





hsa-miR-593-3p
TGCCTCTGC

231
239
9
reverse





hsa-miR-593-5p
AGGCACCAG

2090
2098
9
reverse





hsa-miR-593-5p
AGGCACCAG

2083
2091
9
reverse





hsa-miR-598
ACGTCATC

11432
11439
8
reverse





hsa-miR-611
GCGAGGTCTC
250
4779
4788
10
reverse





hsa-miR-611
GAGAGGCCCC
251
2121
2130
10
reverse





hsa-miR-611
GAGAGGACCT
252
1546
1555
10
reverse





hsa-miR-616-5p
ACTCTAAAC

14510
14518
9
reverse





hsa-miR-619
GACCTGGA

5824
5831
8
reverse





hsa-miR-620
ATGAATATAG
253
14560
14569
10
reverse





hsa-miR-620
ATGGAAATAT
254
12111
12120
10
reverse





hsa-miR-620
TTGGATATAG
255
11026
11035
10
reverse





hsa-miR-620
GTGGAGATGG
256
10397
10406
10
reverse





hsa-miR-620
ATGGAGATCC
257
6268
6277
10
reverse





hsa-miR-620
ATGGAGGGAG
258
5626
5635
10
reverse





hsa-miR-620
CTGGAGAAAG
259
3827
3836
10
reverse





hsa-miR-620
ATCCAGATAG
260
2959
2968
10
reverse





hsa-miR-620
ATGGGGCTAG
261
2843
2852
10
reverse





hsa-miR-620
AGGGAGAGAG
262
1551
1560
10
reverse





hsa-miR-620
CAGGAGATAG
263
1430
1439
10
reverse





hsa-miR-620
TTGGAGAGAG
264
1201
1210
10
reverse





hsa-miR-623
TCCCTTGC

8306
8313
8
reverse





hsa-miR-623
TCCCTTGC

5004
5011
8
reverse





hsa-miR-631
CACCTGGCC

9900
9908
9
reverse





hsa-miR-631
GACATGGCC

8632
8640
9
reverse





hsa-miR-634
AACCAGCAC

4520
4528
9
reverse





hsa-miR-636
TGTGCTTG

10386
10393
8
reverse





hsa-miR-638
ACGGAGCGCG
265
4905
4914
10
reverse





hsa-miR-638
AGGGAGGGCG
266
4615
4624
10
reverse





hsa-miR-642a-5p
ATCCCTCTC

8983
8991
9
reverse





hsa-miR-642a-5p
GTCCCTCCC

4722
4730
9
reverse





hsa-miR-643
ACATGCATGC
267
15553
15562
10
reverse





hsa-miR-643
CCTTGTAGGC
268
15378
15387
10
reverse





hsa-miR-643
TCTTGTATTC
269
14423
14432
10
reverse





hsa-miR-643
ACTGGTATGT
270
13933
13942
10
reverse





hsa-miR-643
ACTTCTATTC
271
12886
12895
10
reverse





hsa-miR-643
ACTTTTCTGC
272
12044
12053
10
reverse





hsa-miR-643
GCTTGTAAGC
273
11698
11707
10
reverse





hsa-miR-643
AGTTGTATGT
274
10531
10540
10
reverse





hsa-miR-643
ACTTGGAAGC
275
8105
8114
10
reverse





hsa-miR-643
ACTTGTGTGG
276
7227
7236
10
reverse





hsa-miR-643
ACTTGTTTGA
277
1880
1889
10
reverse





hsa-miR-643
ACATGTTTGC
278
1695
1704
10
reverse





hsa-miR-650
AGGAGGCAC
279
9647
9655
9
reverse





hsa-miR-650
AGAAGGCAG
280
6917
6925
9
reverse





hsa-miR-650
AGGAGCCAG
281
3474
3482
9
reverse





hsa-miR-650
ATGAGGCAG
282
3052
3060
9
reverse





hsa-miR-651
TCATGATAAG
283
15700
15709
10
reverse





hsa-miR-651
TTAGGTTAAA
284
13993
14002
10
reverse





hsa-miR-651
TTAAAATAAG
285
13988
13997
10
reverse





hsa-miR-651
TTAGCATAAC
286
12788
12797
10
reverse





hsa-miR-651
TTATGATGAG
287
12617
12626
10
reverse





hsa-miR-651
TTTGGATGAG
288
11069
11078
10
reverse





hsa-miR-651
TGAGTATAAG
289
10767
10776
10
reverse





hsa-miR-651
TTACAATAAG
290
10546
10555
10
reverse





hsa-miR-651
TAAGGATAAA
291
8265
8274
10
reverse





hsa-miR-651
TGTGGATAAG
292
7222
7231
10
reverse





hsa-miR-651
GTAGGATAGG
293
5553
5562
10
reverse





hsa-miR-651
CTAGGAAAAG
294
2823
2832
10
reverse





hsa-miR-651
CTATGATAAG
295
1635
1644
10
reverse





hsa-miR-651
TAAGGATAGG
296
1562
1571
10
reverse





hsa-miR-654-3p
TATGTATACT
297
15493
15502
10
reverse





hsa-miR-654-3p
TATCTCTTCT
298
14775
14784
10
reverse





hsa-miR-654-3p
TCTATCTGCT
299
8354
8363
10
reverse





hsa-miR-654-3p
AATGTCTGGT
300
6720
6729
10
reverse





hsa-miR-654-3p
TATGTTTCCT
301
6638
6647
10
reverse





hsa-miR-654-3p
TTTTTCTGCT
302
6586
6595
10
reverse





hsa-miR-654-3p
TATGTCTTTT
303
6534
6543
10
reverse





hsa-miR-654-3p
TATATCTGCA
304
6214
6223
10
reverse





hsa-miR-654-3p
TATGTAGGCT
305
97
106
10
reverse





hsa-miR-655
GTAATACAT

15593
15601
9
reverse





hsa-miR-655
ATAGTACAT

4200
4208
9
reverse





hsa-miR-655
ATAAGACAT

3642
3650
9
reverse





hsa-miR-655
ATAATACAG

2265
2273
9
reverse





hsa-miR-655
ACAATACAT

1757
1765
9
reverse





hsa-miR-656
AATATTATA

657
665
9
reverse





hsa-miR-664-3p
TATTCATTT

9385
9393
9
reverse





hsa-miR-765
TGGAGGA

5020
5026
7
reverse





hsa-miR-766
CTCCAGCCCC
306
12901
12910
10
reverse





hsa-miR-766
CTCCAGCCCC
307
5032
5041
10
reverse





hsa-miR-767-3p
CCTGCTCAT

14871
14879
9
reverse





hsa-miR-767-3p
TCTTCTCAT

9155
9163
9
reverse





hsa-miR-875
CCTGGAAATA
308
5820
5829
10
reverse





hsa-miR-875
CCTAGAAACA
309
5294
5303
10
reverse





hsa-miR-876
TGGATTTCT

6366
6374
9
reverse





hsa-miR-876
TGGATTTCT

142
150
9
reverse





hsa-miR-888-3p
GACTGACTCC
310
15772
15781
10
reverse





hsa-miR-888-3p
GACTGACAGC
311
9119
9128
10
reverse





hsa-miR-890
TACTTGGAAG
312
8106
8115
10
reverse





hsa-miR-940
AAGGCAGTG

1807
1815
9
reverse





hsa-miR-941
CACCCAGGT

14396
14404
9
reverse





hsa-miR-941
CACCCTGCC

13715
13723
9
reverse





hsa-miR-941
CACCCCTCT

13128
13136
9
reverse





hsa-miR-941
CACTCAGCT

12289
12297
9
reverse





hsa-miR-941
CTCCCGGGT

10102
10110
9
reverse





hsa-miR-941
CAGCCTGCT

10034
10042
9
reverse





hsa-miR-941
CACCCACCT

9904
9912
9
reverse





hsa-miR-941
CACCTGGCC

9900
9908
9
reverse





hsa-miR-941
CATCTGGCT

8219
8227
9
reverse





hsa-miR-941
CACTCGACT

8148
8156
9
reverse





hsa-miR-941
CTCCCAGCT

6840
6848
9
reverse





hsa-miR-941
CTCACGGCT

6031
6039
9
reverse





hsa-miR-941
CAGCCCGCT

5928
5936
9
reverse





hsa-miR-941
CACCTGACT

5510
5518
9
reverse





hsa-miR-941
CACGCCGCT

5142
5150
9
reverse





hsa-miR-941
CTCCCTGCT

3983
3991
9
reverse





hsa-miR-941
CACCAGGCA

2087
2095
9
reverse





hsa-miR-941
CTCCCGGGT

390
398
9
reverse





hsa-miR-941
CACCCAGCC

186
194
9
reverse





hsa-miR-941-2
ATCCGACTGT
313
9657
9666
10
reverse





hsa-miR-941-2
TCCCTGCTGT
314
8726
8735
10
reverse





hsa-miR-941-2
TCCCAGCTGT
315
6838
6847
10
reverse





hsa-miR-941-2
AGCCCGCTGT
316
5926
5935
10
reverse





hsa-miR-941-2
ACCCGGGCGT
317
4764
4773
10
reverse





hsa-miR-1179
AAGTATCCTTT
318
15346
15356
11
reverse





hsa-miR-1179
ATGCATTCTGT
319
3357
3367
11
reverse





hsa-miR-1179
ATGCATTCTCT
320
1854
1864
11
reverse





hsa-miR-1207-5p
TGGCAGGG

11441
11448
8
reverse





hsa-miR-1224-3p
CTCCACCTCC
321
399
408
10
reverse





hsa-miR-1228-3p
TCCCACCTG

13637
13645
9
reverse





hsa-miR-1228-3p
TCACGCCTG

4992
5000
9
reverse





hsa-miR-1231
GTGTCTGGC

12807
12815
9
reverse





hsa-miR-1231
GTGTCCGGG

4739
4747
9
reverse





hsa-miR-1245
AAGTGATCT

8341
8349
9
reverse





hsa-miR-1245
AAGTGATCT

2020
2028
9
reverse





hsa-miR-1249
CGCCCTTC

5907
5914
8
reverse





hsa-miR-1251
ACTCTAGGT

12854
12862
9
reverse





hsa-miR-1251
ACTCTATCT

8357
8365
9
reverse





hsa-miR-1251
ACTCCAGCT

4044
4052
9
reverse





hsa-miR-1251
AGTCTAGCT

457
465
9
reverse





hsa-miR-1252
AGAGGGAAAT
322
3819
3828
10
reverse





hsa-miR-1252
GGAAGGAAAT
323
1625
1634
10
reverse





hsa-miR-1268
CGGGCGTGG

4762
4770
9
reverse





hsa-miR-1270
CTGGAAATA

5820
5828
9
reverse





hsa-miR-1270
CTGGAGATG

5055
5063
9
reverse





hsa-miR-1270
CTGGAGAAA

3828
3836
9
reverse





hsa-miR-1270
CAGGAGATA

1431
1439
9
reverse





hsa-miR-1272
GATGATGA

10622
10629
8
reverse





hsa-miR-1275
GTAGGGGAGA
324
1189
1198
10
reverse





hsa-miR-1302
ATGGGACACA
325
15021
15030
10
reverse





hsa-miR-1302
TTTGGATATA
326
11027
11036
10
reverse





hsa-miR-1302
TTAGGGCATA
327
8421
8430
10
reverse





hsa-miR-1302
TTGGAACAGA
328
6076
6085
10
reverse





hsa-miR-1302
CTGGGACTTA
329
4819
4828
10
reverse





hsa-miR-1302
GTGGGAAATA
330
3845
3854
10
reverse





hsa-miR-1302
TTGTGAGATA
331
1944
1953
10
reverse





hsa-miR-1302
CTGGGAAATA
332
867
876
10
reverse





hsa-miR-1324
TCAAGACAGA
333
9426
9435
10
reverse





hsa-miR-1827
TGAGGCAGT

3051
3059
9
reverse





hsa-miR-1911-3p
CACCAGGCA

2087
2095
9
reverse





hsa-miR-1915
CCCCAGGG

5111
5118
8
reverse





hsa-miR-2909
TTTAGGGCC

3728
3736
9
reverse









B. 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:


UCP2 Gene Regulatory Elements:


1. RXR/T3RE Motif: AGGTCA


Eight


Length: 6, Interval: 1,074→1,079; 3,083→3,088; 3,239→3,244; 4,304→4,309; 6,965→6,970; 7,420→7,425; 7,677→7,682; 13,319→13,324; Mismatches: 0.


2. GC Box 1 Motif: CGCCC


Sixteen


Length: 5, Interval: 2,605→2,609; 4,323→4,327; 4,523→4,527; 4,933→4,937; 4,959→4,963; 5,048→5,052; 5,066→5,070; 5,146→5,150; 5,155→5,159; 5,387→5,391; 5,483→5,487; 6,067→6,071; 8,523→8,527; 9,790→9,794; 10,819→10,823; 11,754→11,758; Mismatches: 0.


3. GC Box 2 Motif: GCGGG


Five


Length: 5, Interval: 4,263→4,267; 4,757→4,761; 4,860→4,864; 7,619→7,623; 11,262→11,266; Mismatches: 0.


4. GT Box 1 Motif: CACCC


Thirty


Length: 5, Interval: 1,421→1,425; 1,677→1,681; 1,761→1,765; 1,825→1,829; 1,833→1,837; 2,036→2,040; 3,003→3,007; 4,903→4,907; 4,947→4,951; 5,210→5,214; 6,204→6,208; 6,247→6,251; 6,469→6,473; 6,828→6,832; 7,681→7,685; 8,048→8,052; 8,437→8,441; 8,572→8,576; 8,599→8,603; 8,702→8,706; 11,077→11,081; 11,235→11,239; 12,006→12,010; 12,374→12,378; 13,475→13,479; 13,666→13,670; 13,687→13,691; 13,838→13,842; 14,410→14,414; 14,545→14,549; Mismatches: 0.


5. GT Box 2 Motif: GTGGG


Twenty Six


Length: 5, Interval: 123→127; 1,006→1,010; 2,105→2,109; 4,562→4,566; 5,793→5,797; 6,029→6,033; 6,034→6,038; 6,040→6,044; 6,150→6,154; 7,271→7,275; 7,392→7,396; 9,040→9,044; 9,697→9,701; 10,227→10,231; 10,238→10,242; 10,247→10,251; 11,817→11,821; 12,410→12,414; 12,414→12,418; 12,678→12,682; 13,047→13,051; 13,238→13,742; 13,743→13,747; 14,252→14,256; 14,969→14,973; 15,104→15,108; Mismatches: 0.


6. CpG Methylation Island Motif: CG


Two Hundred and Ninety Five, including many between positions 4,071 to 5,212.



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 9.









TABLE 9





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-503



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) of the, including 5,000 bp 5′UTR as a target revealed binding sites for 54 miRNAs in UCP2 5′UTR as shown in Table 10.









TABLE 10







miRNAs with predicted binding sites in the 5′UTR of UCP2 gene sequence.














Seed


SEQ ID




MicroRNA
Length
Start
Sequence
NO
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
334
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
335
3594
0.0095





hsa-miR-18a-3p
10
3603
ACUGCCCUAA
336
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
337
3043
0.0095





hsa-miR-203
9
3051
UGAAAUGUU

3043
0.0374





hsa-miR-218
10
3603
UUGUGCUUGA
338
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
339
3594
0.0095





hsa-miR-27a-5p
11
3336
AGGGCUUAGCU
340
3326
0.0024





hsa-miR-28-5p
10
3603
AAGGAGCUCA
341
3594
0.0095





hsa-miR-331-3p
9
4134
GCCCCUGGG

4126
0.0374





hsa-miR-337-5p
10
115
GAACGGCUUC
342
106
0.0095





hsa-miR-340-3p
9
1872
CCGUCUCAG

1864
0.0374





hsa-miR-34c-3p
11
2162
AAUCACUAACC
343
2152
0.0024





hsa-miR-373-5p
11
530
ACUCAAAAUGG
344
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
AUCCUUUGU

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
345
2543
0.0006





hsa-miR-512-5p
10
987
ACUCAGCCUU
346
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
347
2515
0.0024





hsa-miR-548a-3p
10
680
CAAAACUGGC
348
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
349
1131
0.0095





hsa-miR-638
9
2710
GGGAUCGCG

2702
0.0374





hsa-miR-657
12
1316
GCAGGUUCUCAC
350
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 1 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 8mer, 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 11. Of note is that hsa-miR-19 has been reported as an abundant adipocyte miRNA.









TABLE 11







Complimentarity between the common motif UUUGUACA and hsa-miR-19a/19b.














Seed
Length of
Complementary
Complimentarity


miRNA Name
miRNA Seed
Model
Complimentarity
Base-Pairing
P-Value





hsa-miR-19a
UGUGCAAA
8 mer
8
Motif 5′ UUUGUACA 3′
1.7e-04


hsa-miR-19b



         ||||:|||







      3′ AAACGUGU 5′ miRNA Seed









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 12.









TABLE 12







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















Start 
% Similarity






Relative
 to Consensus
Minimum Free



Gene
Sequence
to Stop
Motif (Quality =
Energy (MFE) of


Gene
symbol
of site
Codon (bp)
High|Medium|Fair)
mRNA-miRNA Duplex





650
BMP2
UUUGUACA
 386
100.00
-6.80





1052
CEBPD
UUUGUAAA
 263
 95.44
-3.40





7132
TNFRSF1A
UUUGUACA
 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
WNT6A
UUUGUACA
1414
100.00
-6.80





6720
SREBF1
UUUGUACA
 510
100.00
-6.80





7281
TWIST1
UUUGUAAA
 649
 95.44
-3.40





3667
IRS1
UUUGUAAA
 992
 95.44
-3.40





10499
NCOA2
UUUGUAAA
1381
 95.44
-3.40





8204
NRIP1
UUUGUACA
1718
100.00
-6.80





8204
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





860
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





6198
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 8mer, 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 13.









TABLE 13







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


to 100% similarity to consensus motif















Start 
% Similarity






Relative
 to Consensus
Minimum Free



Gene
Sequence
to Stop
Motif (Quality =
Energy (MFE) of


Gene
symbol
of site
Codon (bp)
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
LRP8
UUUGUACA
 151
100.00
-6.80





4040
LRP8
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





8720
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
 548
 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
CREN1
UUUGUACA
2822
100.00
-6.80





1385
CREB1
UUUGUAAA
4175
 95.42
-3.40





6198
PRS6KB1
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 8mer, 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:











hsa-miR-3658:



Motif 5′ UUUUUUAC- 3′



          ||:||||



      3' -AAGAAUUU 5' miRNA Seed







hsa-miR-30a/b/c/d/e:



Motif 5′ UUUUUUAC- 3′



         ||||||||



      3' -AAGAAUUU 5' miRNA Seed







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 dyslipidaemias.


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 which contain a single large lipid droplet, 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 and universal RNA-Sequencing. Protein expression is measured by targeted Western Blotting and universal proteomic profiling.


A. Differentiation of Human Pre-Adipocytes into Adipocytes.


I. 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, triiodothryonine, 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 triiodothryonine, 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.


1. 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 FIG. 10.


c. Phenotypic Changes During Human Preadipocytes 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 FIG. 11, in the presence of medium without rosiglitazone, the preadipocytes 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.


d. 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 14.









TABLE 14







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 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. 16, 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. 17, 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. 17).


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 15).









TABLE 15





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. 18).


They include numerous chemokines genes and genes involved in cell proliferation and (Table 16).









TABLE 16





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. 13, 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. 14.


c. 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 6-wall 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 manufactures' 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. 19).


The cells transfected with Dharmacon 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. 20).


3. Phenotypic Changes During Maintenance of Human Adipocytes in Culture for Two More Weeks.


At the end of treatment (total of 30 days in culture) cells were stained with Oil Red O for assessment of lipid content. In the presence of medium without rosiglitazone from Day 16 to Day 30, the adipocytes appear loaded with large lipid droplets. In the presence of differentiation medium including 100 nM Rosiglitazone for 2 days followed by maintenance medium for 12 days (negative control), little change in appearance of the lipid-loaded mature adipocytes is noted. In the presence of 100 nM rosiglitazone throughout the experiment (positive control), the intensity of the red staining seems reduced. 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.


The amount of lipids present in the mature adipocytes at Day 30 was measured with the fluorescent Nile Red Dye. As shown in FIG. 15, 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.


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, miRNAxxx_3′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 EMPTY_3′UTR and Actin B_3′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 inHela 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, 8 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, 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 17).









TABLE 17







miRNA with putative binding sites in the UCP1 gene sequence.




















# of
Binding
# of






Exp.



miRNA
criteria
length
sites
3′UTR
5′UTR
Clustering
Intronic
Enhancer
Methylation
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 (miR-19b-2-5p, miR-21-5p, miR-130b-5p, miR-211, miR-325, miR-382-3p/5p, miR-543, miR-515-3p, and miR-545) (Table 18). A few more barely missed these selection criteria; they are miR-331-5p, miR-552, miR-620, and miR-1179.









TABLE 18







miRNA identified as regulators of UCP1 by luciferase reporter assay.






















# of
Binding
# of






Exp.



Cell Line
miRNA
criteria
length
sites
3′UTR
5′UTR
Clustering
Intronic
Enhancer
Methylation
Evidence























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

+
+
+


2

hsa-miR-328
6
10
4
+
+


+
+
+


3

hsa-miR-655
6
10
5
+
+
14


+
+


4
Hela + HepG2
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
HepG2
hsa-miR-382-3p/5p
5
15
2
+
+
14


11

hsa-miR-421
5
10
5
+
+
X



+


12
Hela
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
Hela
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
Hela + HepG2
hsa-miR-21-5p
3
10 to 14
2
+
+




+


32
Hela
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
Hela + HepG2
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
+
+




+









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









TABLE 19







miRNA identified as regulators of UCP1 by luciferase reporter assay.












miRNA
UCP1 3′ UTR
UCP1 Enhancer
UCP1 Promoter














1
mir-21-5p
X
X
X


2
miR-211
X
X
X


3
mir-515-3p
X
X
X


4
mir-19b-2-5p
X

X


5
mir-130b-5p
X
X



6
mir-325
X
X



7
miR-331-5P

X



8
mir-543
X




9
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 Preadipocytes, 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, 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. Reconciliation of the Phenotypic, Luciferase/qRT-PCR, 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 7. 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 treatment 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 8. Nucleic Acid Sequences of Human UCP1 and UCP2 Genes and Transcripts

The nucleic acid sequence of the 1,462 base pair (bp) transcript ENST00000262999 of the human UCP1 gene is as follows (Exons in capital letters) [SEQ ID NO: FROM 351-363]




























SEQ






Start
End


ID


No
Exon/Intron
Start
End
Phase
Phase
Length
Sequence
NO:








5′ upstream





...gtcggttcaaaaaacagaaatcgggtttgctgcccggcggacaggcgtga
351



sequence









1
EN5E00001
141,489,959
141,489,758

0
  202
AGAGCAAGGG AAAGGAACTT CCTCCACCTT CGGGGCTGGA
352



081761





GCCCTTTTCC TCTGCATCTC CAGTCTCTGA GTGAAGATGG GGGGCCTGAC










AGCCTCGGAC GTACACCCGA CCCTGGGGGT CCAGCTCTTC










TCAGCTGGAA TAGCGGCGTG CTTGGCGGAC GTGATCACCT










TCCCGCTGGA CACGGCCAAA GTCCGGCTCC AG







Intron 1-2
141,489,757
141,489,132


  626
gtagctaggc agaggggtaa gacaa...tgttc tgcacctttc ttatttccag
353


2
ENSE00001
141,489,131
141,488,933
0
1
  199
GTCCAAGGTG AATGCCCGAC GTCCAGTGTT ATTAGGTATA
354



009006





AAGGTGTCCT GGGAACAATC ACCGCTGTGG TAAAAACAGA










AGGGCGGATG AAACTCTACA GCGGGCTGCC TGCGGGGCTT










CAGCGGCAAA TCAGCTCCGC CTCTCTCAGG ATCGGCCTCT










ACGACACGGT CCAGGAGTTC CTCACCGCAG GGAAAGAAA







Intron 2-3
141,488,932
141,484,673


4,260
gtaagccgtg agcgttcctg ggagg...aataa ttttttttct ctctggatag
355


3
ENSE00001
141,484,672
141,484,472
1
1
  201
CAGCACCTAG TTTAGGAAGC AAGATTTTAG CTGGTCTAAC
356



081759





GACTGGAGGA GTGGCAGTAT TCATTGGGCA ACCCACAGAG










GTCGTGAAAG TCAGACTTCA AGCACAGCCA TCTCCACGGA










ATCAAACCTC GCTACACGGG GACTTATAAT GCGTACAGAA










TAATAGCAAC AACCGAAGGC TTGACGGGTC TTTGGAAAG







Intron 3-4
141,484,471
141,484,366


  106
gtaactaact tcaaaatggg tttta...acatt ttctttttt ttttccccag
357


4
ENSE00001
141,484,365
141,484,264
1
1
  102
GGACTACTCC CAATCTGATG AGAAGTGTCA TCATCAATTG
358



081762





TACAGAGCTA GTAACATATG ATCTAATGAA GGAGGCCTTT










GTGAAAAACA ACATATTAGC AG







Intron 4-5
141,484,263
141,483,528


  736
gtaacttccc atttcatata acaaa...gacc tgtttcatcg atccatttta g
359


5
ENSE00001
141,483,527
141,483,347
1
2
  181
ATGACGTCCC CTGCCACTTG GTGTCGGCTC TTATCGCTGG ATTTTGCGCA
360



081763





ACAGCTATGT CCTCCCCGGT GGATGTAGTA AAAACCAGAT










TTATTAATTC TCCACCAGGA CAGTACAAAA GTGTGCCCAA










CTGTGCAATG AAAGTGTTCA CTAACGAAGG ACCAACGGCT










TTCTTCAAGG G







Intron 5-6
141,483,346
141,481,165


2,182
gtaagatatg atcttgtgta tctgt...cgaac gatgacatgc acttttctag
361


6
ENSE00001
141,481,164
141,480,586
2

  577
GTTGGTACCT TCCTTCTTGC GACTTGGATC CTGGAACGTC ATTATGTTTG
362



081760





TGTGCTTTGA ACAACTGAAA CGAGAACTGT CAAAGTCAAG










GCAGACTATG GACTGTGCCA CATAATCAGC TTCAAGAAAA










TGATGTAACA TACCAGTGGG AATCTTGCTG ACTGGATCAT










AAAAACAAAC AAAACTTATT CACTTATTTT AACCTAAAAA










GATAAAGGAA TTTTGGCAGA GAATTTTGGA CTTTTTTATA










TAAAAAAGAG GAAAATTAAT GCCTATTTCA TATAACTTTT TTTTTTTCTC










AGTGTCTTAA GAAGGGGAAA GCAAAACATT CAGCATATAC










CCTGGCAAAT GTAATGCAGA TAAGCTACTG CATTTGACCA










TTTCTGGAGT GCAATTGTGT GAATGAATGT GAAGAACTTT










AACATGTTTT AATTACAATT CCAACTGGTG GAAAAGAAAC










TGAGTGAAAT GCAGTTTATA TTTATAAATA CTTAAAAATG










AAGTTATTAA AAATATTAGT TTTTATTAAC CACAGTTGTC










AGTTAATATA TTCAATAAAA GTATTGCTAA TACCTTTT







3′





aaagtttgtcttttgagatctatacctgggtgtaagagtcaagttcacta...
363



downstream










sequence









The nucleic acid sequence of the 9,371 base pair (bp) of the human UCP1 gene (ENSG00000109424) is as follows (Exons are in lowercase) [SEQ ID NO: 364]:














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




embedded image






embedded image






embedded image






embedded image






embedded image






embedded image






embedded image











The nucleic acid sequence of the 15,901 base pair (bp) human UCP1 sequence (gi|237858805|ref|NG_012139.1| Homo sapiens uncoupling protein 1 (mitochondrial, proton carrier) (UCP1), RefSeqGene on chromosome 4) is as follows [SEQ ID NO: 365]:











CTGTACAGCT CTCCGACAAT CCCACATCTA GATGCCAAGC TGAGGTTGGC ATTCTCACTA
   60






ATTTGCTGTT ATAAATATTA AGCTATCATA AGCGTTAGCC TACATATGAC TCTTTCATAT
  120





GTTAGTTAAT TATTTTAGGG TAGAAATCCA AAAGTGGAGT TACCAGAAGT GGATATAGAC
  180





ATTCTGGCTG GGTGTGATGG TTCATGCCTG TAATCCCAGC ACTTTGGGAG GCAGAGGCAG
  240





GCGGATCACT TGAGGCCAGG AGTTTGAGAT CAGCCTGGGC CAACACAGCG AAACCCCATC
  300





TCTACTAAAA ATTCCAAAAC TAGCCAGGCA TAGTGGCACA TGCCTGTACT CCCAGCTACT
  360





TGGGAGGCTA AGACACAAGA ATCGCTTGAA CCCGGGAGGG AGGTGGAGGT TGCGGTGAGC
  420





TGAGATTGTG CCACCGTACT CCAGCCTGGG TGACACAGCT AGACTCTGTT TCAAAAAAAA
  480





AAAGAAAAAG AAAAGAAAAA AATAGACTTT CTCTTGGCTC AGTGTATACT GCCAAATTGT
  540





TTTCCAAAAA AATTGTGTCA ATGTATAACA CCATCACTAA TATAGTATTG ATATTATGGT
  600





TATTACATTT TAAAATTCAT AATTTGTAAT TATAACATTC ATAATTTATT ACTATTTATA
  660





ATATTAATGT AAATGTATAT TATATATAAA TGTTATAGTA ATTATAACTT TGGTAGTGAC
  720





AAAGTATTAA TTTATTAGGT GAAGTATATG CTTTTTTATT AGTGATAATA AATATATCCT
  780





CTCTCCCATT ATAAAAGTTT GTATTTCTTC TTTTAGAAAT TGATTCTTCT GTCATTTGCA
  840





CATTTATCTG TATAATTATA ACAGGGTATT TCCCAGTGGT GGCTAATGAG AGAATTATGG
  900





GAAAGTATAG AACACTATTC AAATGCAAAG CACTGTATGA TTTTTATTTA ATAGGAAGAC
  960





ATTTTGTGCA GCGATTTCTG ATTGACCACA GTTTGATCAA GTGCATTTGT TAATGTGTTC
 1020





TACATTTTCA AAAAGGAAAG GAGAATTTGT TACATTCAGA ACTTGCTGCC ACTCCTTTGC
 1080





TACGTCATAA AGGGTCAGTT GCCCTTGCTC ATACTGACCT ATTCTTTACC TCTCTGCTTC
 1140





TTCTTTGTGC CAGAAGAGTA GAAATCTGAC CCTTTGGGGA TACCACCCTC TCCCCTACTG
 1200





CTCTCTCCAA CCTGAGGCAA ACTTTCTCCT ACTTCCCAGA GCCTGTCAGA AGTGGTGAAG
 1260





CCAGCCTGCT CCTTGGAATC CAGAACTACT TTCAGAATCT TGAACTTCTG TGACCTCTCA
 1320





GGGTCCCCTT GTGTGAAGTT TTTGACGTCA GCTTCTCCTG TGACCCTTAG AAGTCACTCT
 1380





TGTGTCTAGC ACATCCCAGG TGCTCAGTCA CCATTGAACT ACAGTCATAC TATCTCCTGG
 1440





CAAAGGCTCT TAACTGTCCA TGTTAGCCTG ATATTAATAT CCTGGAAGCT TATACTGTCG
 1500





TTCTTCCTTC CAGGTTTAAA TAAGGCAGCC CCTTTATCCT GTCACAGGTC CTCTCTCCCT
 1560





ACCTATCCTT ACCTGTTTTG GATAACAACC TTTCTTATTT CTAATAGATT TATTTATTTC
 1620





TCACATTTCC TTCCCTTATC ATAGTTTTCC TCTCACTTTC TCCTCTAGTT TGTCATACTC
 1680





TGGCTTTAAA ACATGCAAAC ATGTGCCTTA TGGGGAAAAA AAGACAATTT TAATTTACCT
 1740





TGCTTCTTCT TTACAAATGT ATTGTGGCTT CTTCTTATAG TCCAAATCTA AAACTCTTTA
 1800





CCCACCCACT GCCTTGAACT CCTTCCTCGT TGTGAAAGTA GGATGGGGCA AAGAGAGAAT
 1860





GCATGCCCCT CCCAACTGCT CAAACAAGTA AAGGTGCTGT TACAGTTATC TTTTGCTACC
 1920





TTAATACAAT AATTATTTTA TTATATCTCA CAATTTTATG GATCAGGAAT TTAGACTGGG
 1980





CTCAGCTAGG CGATTCTTCT GCTTTACTGA CATCATAGGA GATCACTTGG TGGTATTCAA
 2040





CTGTCAGGTA GGCTTATCTG GAGGGTCCAA GATAGCTGTA CTCTGGTGCC TGGTGCCTTG
 2100





GTAAAGAGGG ATGATGATGT GGGGCCTCTC CAGCATGAAC AGCCTCAGAG AAGTTTGCTT
 2160





TCTTACATGC TGGCCCAGGG CTCCAAGAGC AAATGTTGCA GTGAGTAAAG CAGAAGATAC
 2220





AAGGACTTTT ATAATCTGGT CTCAGAAGCC ACATGGCATC AGTTCTGTAT TATTCTATTG
 2280





GTCAAAACAT TCATAAGCCT GCCAGATGCA AGGGGAAGGC ATATGTACCC TCATCTTTTG
 2340





ATGGGAGGAA TGTGATGGAT TTGCAATTAT GTTTTAAAAC TACTACAGAC AGAACCACTG
 2400





AGAAAGATTC ATGGGTAGCT TTGGGGTGAG GACTGGGAAT TAACCTGTTG ATAGCAGAGG
 2460





TTCACTAGAG TCAACAAGGA ATAAGGTCTC CTCTTGTACA CTTTAGTCAT ACTATACCAA
 2520





CATTCTTAAC CACTGCTTAG CCATCAGCCT CACAACATAA CAACTCCATC ATAGTTGTAC
 2580





TCCCTAAGAT CACCAACAAT GTTAGAGTCA AATCCGGTAG GTTTTTCTTT GTTTTTGTCC
 2640





TCCTGACATT TTTTCTAAAC TTGACACTGG TCAGACCCAA TCTTTCTTTA ATCATATTCT
 2700





TAAATACCAG TTCTATCACT GGATATGTTA CTGTTTCTTG TTCTCACTCT ACCTTTGACA
 2760





AAGCCATTCT TTCCAGACTA TAACTCTGGG TCTGGGTCCC CCTATGGTTT GGCCCTTGAA
 2820





TTCTTTTCCT AGTCCTATTT GACTAGCCCC ATTTTCCCGT GAAAAGCATG CCCCTTTCAT
 2880





TGCATCCATA TCATGACTAC CAAATACCTC CTCTATTTCT TCCTCTTTTA GCATGTTAAA
 2940





TGCAGCTTCC TAAGCTCTCT ATCTGGATAT CAACAGTATT CTCTCCAAAT AATTCTAAGA
 3000





CTTTAAAAAT TGGTTTAATC TTCTTACCCC TAAAATCACC CCCCTTACCA ACTGCCTCAT
 3060





GACAATCATT GGTACTGTCA CTGAGCTTGC AACCCATGTT CTTAAACATA GAGTAATCTT
 3120





TGACTCCACA TCTAATCATT CATAAAGCTG TATTGTCTAT CAAATTAAAT CTGACATTTA
 3180





TGTGAGAGCA CTTCATAGTC TGTAAAGCAC TACACAGGTG ATAACATGAA GCTACACTCA
 3240





TAATGGATTT GCAGGCTCTG CTTCTCATTT GGCTTCTACA GCCTCATCCC TCACCAACTT
 3300





CTTGCCCTAC CTCTCTCTTT CTTCCCCATC ACCCAATTTC CCAGTCAGTC AGGCCAACAG
 3360





AATGCATTCT ATATACGCGA CTTGCTTTCC CCAACATCTT TGCCTGTATG CATGCCACTT
 3420





ATTTGCCTCA GTTGATCTTT ATTTCAACAA GTGTTTGCAG AGGAGAAACC TCGCTGGCTC
 3480





CTTCTCCTTT CTATTTTTTT TCAGAGGCTA CCCGTCAGGT CAACATTGCC TTTTTCAGGG
 3540





AAGCTCTGCA AGCCTGACCT CCCTTGGAAG TGCCTTAGGA CTGGCTTCTT GCACAGTACA
 3600





CAACCTTTAC TTATAGAGGG TTTGGAGATT ATTCTTTATT CATGTCTTAT TTCTCCTGCT
 3660





CCTGGAGGAG ATGACTCTGA CTTCCACTGA CTCTTTTGGG GGGCTTAAGT CAGGGTTGAG
 3720





TACCAGAGGC CCTAAATAGC TGGACGTGGA TTCTGGTAAT ATCAAATCCA TCTTTGGCTT
 3780





AACTGAGAGG TTCTGAAAGC TGGGACCTGA CCTTGTCCAT TTCCCTCTTT CTCCAGTTTC
 3840





CTATTATTTC CCACTGTTTT TTTTAAAAGT TTTTTGTTTT CTTAAGTTTT CACAAGAATA
 3900





AACATTGAAA ATAAAATTTG CACAAAGATC GAACTAGGAA AGGCCACACA ACCAACACAT
 3960





ATTACATCAT TATAGGTAAG TTAGCAGGGA GATTTCAGAC CTGGGCTAGC TCTGGAACCA
 4020





CATTTTACAC TGTTGAAAAT AAAAGCTGGA GTACAGATGA CTTTCCCAGG TTCACAGAGT
 4080





TGGTAAGCTG GAGAGCTGCA CCTGGAGCCA AGCAACCTGC CCTGTCCTTT CCACTGCACC
 4140





CTCTAAGAAA TCTAATTAGA AGGAACAGGT GGTATCTCAT TTTGTACGGT GCTTTAGCAA
 4200





TGTACTATTT GCTTTCTAGT GTGTCTATTG TCTCGTTTGA CATCTTCTCT CAAAAAGTGA
 4260





TGAAACGAAA CGCTCTTTTT GACAAGTTCA GAGTGCTCTT GGTTCCTGTG TGGGATTCTT
 4320





CCAAGTCTGA ATTTGGTAGT GGGAAGAGAA GGAATCCGGA GGAAGGAGGA TGAGAAGTTT
 4380





AAAGGAGAGG AAAGGGAAGC AGAGAAGGCC GCAAGGTGCC TGCAAGATGT CTGGGGAGTT
 4440





GGAGGAATGG AAGAGTGCCC CGCTCTTCCT TCTGGGAGAG CTCCAGCTAG GCAGAACCTT
 4500





TCACCAAGGC TCTGATATCG TGCTGGTTTC CGAAAGCCCC AGCCGAAGGT GTGCAGCCAA
 4560





AGGGTGACAG AAGGTGAGGC ACGTGCGGGG GCGCGGGTGC TGACCGCCGC GGTGCGCCCT
 4620





CCCTCCGACG TGCGGTGTGC GGGGCGCAGA CAACCAGCGG CCGGCCCAGG GCTTTCGGGG
 4680





AGCGAAGCAG GGCTCCCGAG GCACCGAGCG AGAATGGGAA TGGGAGGGAC CCGGTGCTCC
 4740





CGGACACGCC CCCGGCAGGT CCCACGCCCG GGTCTTCTGA GACCTCGCGC GGCCCAGCCC
 4800





GGGAGCGGCC CAGCTATATA AGTCCCAGCG GAAGACCGGA ACGCAGAGGG TCCTGCTGGC
 4860





GCGAGGGTGG GTAGGAGGGG ACGCGGGGAC TCGGCCCCCA ACACCGCGCT CCGTCTGCAG
 4920





CCGCCGCCTC TGCACCGCCG CTGCCCGGCG GTCGGTTCAA AAAACAGAAA TCGGGTTTGC
 4980





TGCCCGGCGG ACAGGCGTGA AGAGCAAGGG AAAGGAACTT CCTCCACCTT CGGGGCTGGA
 5040





GCCCTTTTCC TCTGCATCTC CAGTCTCTGA GTGAAGATGG GGGGCCTGAC AGCCTCGGAC
 5100





GTACACCCGA CCCTGGGGGT CCAGCTCTTC TCAGCTGGAA TAGCGGCGTG CTTGGCGGAC
 5160





GTGATCACCT TCCCGCTGGA CACGGCCAAA GTCCGGCTCC AGGTAGCTAG GCAGAGGGGT
 5220





AAGACAAGGG GTCTCAGGAC AGAGGGGACG CTGTTGCGTG CATTCCATTT ATTCTCTGCT
 5280





TTGGTGTAAC CACTGTTTCT AGGTAGGGTA GGTGACCTTC CAAAGCAGTC TGGCCTTGTC
 5340





CCAGGGCTGG TGCTTTAGGA TGGGAAACTG GAACTTTTTC TGGGATTAGC TGAAGAACCA
 5400





CCAGGGCCAC AGAGAATGGG TTGACCATGA CTACTACCAA ATTCTCCCAA AATTTAGGGT
 5460





GCACTTAGTA TTTTAAGAGC TGAGAATATT GGCCTCTCCT GAGTTTACTA GTCAGGTGCT
 5520





TTTTCCTTTC TTTGATTCTT CGGGGGTTCT GTCCTATCCT ACTGCCCTAG GGGTTCTGGA
 5580





GAGTTCCTGG GGAGGGGGAT ATTCAAAATG TGCATTGTAG CCAGCCTCCC TCCATCTGCG
 5640





CGTGAGCGAA CACACACACA CACACACACA CACACACACA CACACACACA CACACACGGT
 5700





AGAGGGAGGT GGATGGAAGA GGAATGTTGC TGAGAAAAGA AACGGAAAAT AGGAACACAG
 5760





GGGGAAATCT TGGCTTAAGA GTGAACTCAA TTTCGCTCCC TTCTGTTCTG CACCTTTCTT
 5820





ATTTCCAGGT CCAAGGTGAA TGCCCGACGT CCAGTGTTAT TAGGTATAAA GGTGTCCTGG
 5880





GAACAATCAC CGCTGTGGTA AAAACAGAAG GGCGGATGAA ACTCTACAGC GGGCTGCCTG
 5940





CGGGGCTTCA GCGGCAAATC AGCTCCGCCT CTCTCAGGAT CGGCCTCTAC GACACGGTCC
 6000





AGGAGTTCCT CACCGCAGGG AAAGAAAGTA AGCCGTGAGC GTTCCTGGGA GGGGCAGAAA
 6060





AGCCTTGGGC TCCGCTCTGT TCCAAAAAGT GTAACACACA GAGGAGTGGT TTTCATAACA
 6120





AATTGGCGAG AAAACATTCA TATTTGAACT CTCCCTTCCC CAAACATTAG CTCATTGTTC
 6180





ATAGAAAAAA GTATGCAAAA TCGATTTTTT AGATGCAGAT ATATACTTGT AAAGGTCACC
 6240





CAGTCATGGA AGTTTTGTGC CCAGTTTGGA TCTCCATCTG GAGAATATGG GTGGGCTACA
 6300





GAAAAATGTT TAACTTAAAG TTCTCCAAAG AGGGAAGTAT ATCAGAAACA TCTATGGAGC
 6360





TTGTCAGAAA TCCAAACGAG GACTACCATG GTCCTCTGAG TCTGAATCCT CAGGCTAGAG
 6420





ACCAGAGTGT CTTTCCACAA GCTTCCCTCA TCATTTGTGT ATGCAACAAA GTTCAAAGCC
 6480





TTCTGTTTGA AGCAAAGAAA GCCAGACTTT GTGAAGAGAG TTGAAAGGAC AGGAAAAGAC
 6540





ATATTTCCTC TTAAGAGGTT CCTCATCAGG TCCAGGAAAG ACCAGAGCAG AAAAAGTGGA
 6600





CGAATGCTGC AGGGAGTTTG TTTAGGGGAA AAAGAAAAGG AAACATATTT CCTGAGTGCC
 6660





AGTGCACTCT AAGAATTCCT GTCACTTTAG GTAGCATTTA TTTGAGGGCT TAACTATGAA
 6720





CCAGACATTG TTCTAAGTGC TTCAGATACA TTATAACTGG AAGGGTATTA GTACCATTAT
 6780





CCCTTGGCAG ATGGGAAAAC TGAACACAGA GCAGATTCAT CACTTGCCCA AGGTCACACA
 6840





GCTGGGAGGG GGCAGAGCCA GGGTTCAAAC CCAGGCAGTC TGGCCTCGGA CTCCAGGCTC
 6900





CTAACCCTGT TCTCTACTGC CTTCTGCACT TCTCATATGA TTCTGCCCAT CATTCAAACC
 6960





GCACAACACT GCTGTGAGTA AAAAGTGTTA GCCGAATATC AGGGTAGTTA AGTAACATGC
 7020





ACAAAATCAC ACAGCTAATC AACATCAGAG GCACTTTCAT GTGGAGTAGA CAAGCCAGAG
 7080





AGAAGATGTG CTGATGGCAC AATGAATACA TTAAGTGAAA TCCACCTTGT AGATTTCATC
 7140





ATTTCTGCTG TGAGTAACCT TCAATACTAT AATTTTATGG GATAATTTAT AAATGTTGTC
 7200





TATACAAATA TATAAGTTAT ACTTATCCAC ACAAGTACTT TCAAAGTGAA GATAAAGTCT
 7260





GGATGTTACT AGATCAAAAC TGCATTTTTT TATTTATAGA TGTAGCAAGA GAGGAAACAC
 7320





AAAGGAGGTA AAGCTGCCCG TTCAGGTGGT TTTCTTCACA GATTGACTGT TCTACCAATT
 7380





GTTGTGGACT TTGGGCACCA AATTAATAGG ATATATGTTG GCAGTGTTCT ATGTTATATA
 7440





GATTCAGTTT ATTTAGTAGG CTTTATTGAA CTGCCATGTG CCAGTAACTA TGTTAGATGT
 7500





TTAGATGGCA GATGTGTCTC TAGACAGAGC TTACAGTTGA GAGTATGGGT TGTGTGGGGA
 7560





GAAGTGAATA GATGACTATA TTCCATGATA CATGCTGTAT TACAATACAG TCCTACTTCA
 7620





CTTAACGATG GGGATACATT CTCAGAAATG AGTTAGGAGG CAAATTGGTT GTTGAATGAA
 7680





CATCACAGAG AGCACTTACA CAAACCTAGA TGGCATAGCC ACACCTAGGC TATATGGTAT
 7740





AATCTATTGC TCCTAGGCTA CAAACCTGTG CAGCATGTTG GTATTGAATA CTACAGGCAA
 7800





TTGTTACATA AAGTTAAGTG TTTGTGTACC TAAAAATAGA AAAGGTAATG CATTACACTA
 7860





CAGTCTTATG GGGCTGGGAT GTCACTAGGT GATAGGAATT TTTCAGCTCT GTTCTAATCT
 7920





TACGGGACCA CCATCATGTA TGCAGCACAT GACTAACTGT AATTACAAGA TGGTGGCTAT
 7980





ATTAAACAGA ACTACTTAAG CTAGCCATGG AGGTATGGTC CGTGAGATTT TCCTGAAGAA
 8040





TTAACGTCTG GATCAATTCT GGAAGGGCCA GCAGGAGTAC TCCAGGCAAA GGGGTGAGAA
 8100





AGGAGCTTCC AAGTAGAGTG AAGGTCATGT GCAAAGACTC AGTGAGGAGT CGAGTGAACA
 8160





TAGCACAGGG AGGACATGTT GGTGAGGAAG GAGGGGTGAA GCCACAGAGA CAGGAGGGAG
 8220





CCAGATGACA GAAGGCCTTG CAGGCGGTGC TAAGGAGTTT GGATTTTATC CTTACAGTGG
 8280





TGGGAAGTCA TTGTAAAAAT ATTAAGCAAG GGAGTGGCAT AAACAATTTA CATTTTCAAA
 8340





AGATCACTTT GGCAGCAGAT AGAGTATATA TGTAAAAGGA GTAAGAAAGA GGTAAGTTAG
 8400





AAAGCAAGAA ATGATCAGGG TATGCCCTAA AACACTGGCA ATAGGGAAAA AGAGATGTCA
 8460





ATCAGAAAGA TTGAGAAAGT ATAATTGAAT TGACTTGGTG AACAAATAGA AGTAAGGCAT
 8520





AAGGGACAGG TAGAAATATG AGATGACTTC CAAGTTTCTG TTTAAAGATA CCCTTTATTG
 8580





AGAGAGGATG TATAGAAGCT GTCTTAGGGG GAAGACAAGA AATTTGGTTT AGGCCATGTC
 8640





AACAGGTAAT GGCCAGTAGG CACATGATTC AGTTTATTTA GTGGGCTCCT TTTAGGAGAA
 8700





AATCTGAGCC AGATTCCAGG AAGTCACAGC AGGGACTACC AATAGGGTCA AACAGCAGAG
 8760





AGTGTGGAAA GGACTGAAAA GTGATCATTG TACATAACAA ATAGAAGCTC ACTGATTTTC
 8820





TAGCAAAAAC ATCTTCAGCA GAGTAGCGTG GTATAAGCTA TATTGTAGGG GACTGAGGAA
 8880





GAAATGGGCT CTGAGAAGTA AAGACAAACA ATATGTTTTG TAAATAAATT TCTTTTAGTT
 8940





CTTAAAAAAA AAGCCTCTTT TCCAGCTTGA TTGGGAAGTG AAGAGAGGGA TTTGAAAGTT
 9000





GGAGATTGGA GGATAGGATG AGTACATCAA GATACACTAC GTTGTAGTGC AGTGCATTAC
 9060





AAATGTGAGC TAAAAGTGAA GGCATTTGTA ATCATATGAT ATTGCTAATT AAAAGACAGC
 9120





TGTCAGTCAT ATGCCCAGCT CCTGGTAAAG CATGATGAGA AGAGTACAAT CATGGTAGTG
 9180





ATTTAAAAAT TGCTGCCAGT TTTGTGGATT TTCTTTATGC TAGACAGTGT AAGCTCTTTA
 9240





TCAATATTAT TTAACTCACA CAACTCTAAG AGGTAGATAT TATTATCCCT TTTTGACAAA
 9300





TTAGGAAACA GAATTATAAT GACTGAGAAA GTCTCTGCTG AGTAAATGTT ACTGAACCTT
 9360





AATTTTATGT TTACTTAATG ATAGAAATGA ATATTGGGCT TCAAGACTAT TTGTACTTAA
 9420





TGAAATCTGT CTTGAGCAAC ATAAGCTATT TTTTTCAAAA TTTTAAGACA AAAATCACTT
 9480





TCTTCTCTCC TGTCTTCTTA TTTTTGTTCC CTTCACATGT TGTAGCCTAA CACTACTTGA
 9540





TGGCCCATTT TGGTGCAGTT TGTCCACTGG GCTTCATCTA AGGCCACCAA GTCCCATAAT
 9600





TAACATGATC ATTCGTGGGA GAAAGATCAA GCCTCATTGG TGATGGGTGC CTCCTCACAG
 9660





TCGGATAATA CTGAAAAGAG AGCTAAATGT GGGAAAGAAC CAAGTTGAAC ACAGGAAAGA
 9720





ATCAGGCCAC TGTGAAAATA AGCATTGTGT TTTCTTGTTC CTTGAAAGTC TTCATTTTTA
 9780





AAAAATTTCA GACACCTGAA GTTTTCTAGC CTTACTCTGA GTTGACGCAC ATTTAGTACA
 9840





TGATCAACAC ATAAACAAGC ATTAGAGAAA TAGAAAAGCT GTAAGAATAC AAAAATATGG
 9900





GCCAGGTGGG TGGCTCATAC CTGTAATCCT AGCACTTTGG GAGGCCGAGG CAGACGGATC
 9960





ACCTGAGGTC AGGAGTTCAA GACTAGCCTG GCCAATATAG TGAAACCCTG TCTCTACTAA
10020





AAATACAAAA CTTAGCAGGC TGTGGTGGCA CGTGCCTATA ATCCCAGCTA CTTGGGAGGC
10080





TGAGGCAGGA GAATCTCTTG AACCCGGGAG GCGGAGATTG CAGTGAGCCA AGATCACACC
10140





ACTGCACTCT AGCCTAGATA ACAGAGCAAG ACTCCATCTC AAAAAAAAAA AAAATACAAA
10200





AATATGAACC ACTGAAAATT AAAAAGACAT GCATGCATTC TAGGTCTTTA ATTTTTTTTC
10260





TTAATAATTT TTTTTCTCTC TGGATAGCAG CACCTAGTTT AGGAAGCAAG ATTTTAGCTG
10320





GTCTAACGAC TGGAGGAGTG GCAGTATTCA TTGGGCAACC CACAGAGGTC GTGAAAGTCA
10380





GACTTCAAGC ACAGAGCCAT CTCCACGGAA TCAAACCTCG CTACACGGGG ACTTATAATG
10440





CGTACAGAAT AATAGCAACA ACCGAAGGCT TGACGGGTCT TTGGAAAGGT AACTAACTTC
10500





AAAATGGGTT TTATAACCAC CAAAGCACAT ACATACAACT AGCAACTTAT TGTAAAGTAG
10560





AGTTAATAAA CATTTTCTTT TTTTTTTTCC CCAGGGACTA CTCCCAATCT GATGAGAAGT
10620





GTCATCATCA ATTGTACAGA GCTAGTAACA TATGATCTAA TGAAGGAGGC CTTTGTGAAA
10680





AACAACATAT TAGCAGGTAA CTTCCCATTT CATATAACAA ACAGGTCTGC ACCTTTAGAA
10740





GTTCATCTTG GAGCTTCTGC AGCCACCTTA TACTCAATCT CTTAACTCCA ATAGTTTTCT
10800





CTTTTTAAAA ATTAAGTAAT TTTGAACCAT ATATAACTTT GTGAGAAGCA GGAAAAGACC
10860





AAAATATTAA GTTTAAGAAG TTTTGCCACA ACAAAAATAT TTTGCAACAA AAATAACAGG
10920





CAATTTCATG TCAGCATTAT TCTCATTTAA TACTAATATA TGGGACTTTT GTTAGAATCT
10980





TATTCTTTAT ACAGCAGAAT TCAGGAGGTA AGTCCATCCT GCATACTATA TCCAAAAGAT
11040





CTAGTTATAA AAGGAGCTTA TCAGTGGTCT CATCCAAAAA GTAATACCAT AAGATAGGTT
11100





CTTAAAAATA ATATTCTAAC AACTTCTAGA GACATTGAAA TTTCCCTTAT TTCAATAAAA
11160





AAGTATTAGA TGCTCATATA TTAGGCATTA TTACAGGCCT TAAAGGCACA GAGGAAACTA
11220





ACAGTTTACT TTCCTAAAGT GTTAACAATC TATTAAGCCA TTTACTCTTT ACCTTCTTTT
11280





TCTAGTGCAA TACCTTTCTT ATTTTATTTT ATTTATTTAT AAGACATCTT CATTGACCTA
11340





CTGTTATCAA TAGGTTTATA AAGATATGAC AGATAACTAA ATTGCAAGCC CCCAAAAGTC
11400





TGATGTTGAC CTGTTTCATC GATCCATTTT AGATGACGTC CCCTGCCACT TGGTGTCGGC
11460





TCTTATCGCT GGATTTTGCG CAACAGCTAT GTCCTCCCCG GTGGATGTAG TAAAAACCAG
11520





ATTTATTAAT TCTCCACCAG GACAGTACAA AAGTGTGCCC AACTGTGCAA TGAAAGTGTT
11580





CACTAACGAA GGACCAACGG CTTTCTTCAA GGGGTAAGAT ATGATCTTGT GTATCTGTAA
11640





TGTGTTCTGG CTGTCTGTGT GCTTTGGGAC ACTCTCATGT CAAGCAACCG ACATTTAGCT
11700





TACAAGCCTT AGTATATTCA TATACTTAGT ATTGACTTTT CCTTGCCACA GATTTCTCCA
11760





ATCCACCAAT TCCACTGTGC CAGAAAGTAA AAAGCCATGA TATTCAAATT TTCTCAACTT
11820





TGATCAAAGG CTCATTCAAG ACCAGTGCCT TTTCCACTGG TCCCAATCTA CTGGAAATGC
11880





AGACAGTATT TTGCCTTCTC TGGGCAAGAA AGTTATAAAG TAGAGGGAAA TCATAATAGA
11940





GAGCTATGAG AGAACAAGAT TTGATTTGAT TTAATTTGAT GGACTCAAGT TTTAACATTG
12000





TAAAACTAGA GATAAGACAT CACCACCAAT CTAGAAAAGT GATGCAGAAA AGTATTTGAT
12060





TTGGGTAATT ATTACACTCA CCTAGAAACA AGTGTTGTGT AATAGATTAC ATATTTCCAT
12120





AATGCAATGT TGTATCAGAA ACTACCTTCC TAAGAAAATA TAGTATGGGC TCGGCGTGGT
12180





GGCTCGCACC TGTAATCCCA GCACTTTGGG AGATGGAGGC AGGAGGATCA CTTGAGCCCA
12240





GACTGGGCAA CAAAGCGAGA CCCTGTCTCA ACAAAAAATT TAAAAATTAG CTGAGTGTGG
12300





TGGCACGCAC TGATGGTCCC CTCTACTTGG GAAGCTGAGG CAAGAGGATC TCCTGAGCCC
12360





AGGAGTTCAA GGTTTCAGCG AGCTATGATT GTGCCACTGC ACTCCAGCCT GGGAGACAGA
12420





GCAAGTCCCT GTCTCAAAAA AGAAGAAGGA GAAGGAGGAG AAAATACAGT ATTAAGTAAT
12480





CTGTCAATAT ATTCCACAAG GATTACACTA GTGGTTTAAT AATAAAATTA TATTACCTTT
12540





TTAAATTGTA AGGCCATTCC TCAAGCTTTA TAAATTAAGC ATGAATGCAT CATACACATT
12600





TTATAAAAAG TTCCAACTCA TCATAATCTG TACTTATGAT ACATTAATAC AAATGAAGTT
12660





CATTATAAAA TTAACTTAAA ATGGATATAC CAGTTATTAA ACCATTAACC ATTTAATAAT
12720





TTTATTTTTT TCAAATTTAA AAACCTTTTG GGGAAGAAAT ACTACAACAT GGATGAACCT
12780





TGAAAACGTT ATGCTAAGTG AAATAAGCCA GACACAAAAG GACAAATACT GTATGATTAC
12840





ACTTAAATGA GGTACCTAGA GTAGTCAAAT TCATAGAGAC AGAAAGAATA GAAGTTACCA
12900





GGGGCTGGAG GTAGGAAAAA ATGGAGAGCT GTTTAATGGG TAGAGAGTTT CTTTTTGGGG
12960





TGACAAAAAG GTTCTAGAGA TGGATAGTGG TGATGGTTAC ACACAATGTG TGTGTACTTA
13020





ATGCTACTGA AATGTAATTT TATGATTTTT TTTTTTTGCA GCAAAATACC CCACATTGGG
13080





AAGTGAAGAG AAACATGTTA AGAGACTTGA AGGAAAAAAA TTGGGGCAGA GGGGTGTTTT
13140





TTATAGGTTA AACAATAAAA GCCATTTAAA CAGTAACAAT TTCTCTAAGG ACAAGAATCG
13200





TCAAGATTGA GACAGCACTG ATTTCTTGAC TCTACTCAAT ACTTCTTTGG TTTCTCTTCT
13260





TCCTTCCCCC TTCTAATAGT TTCCTACCTC CCATTCAGAA AGCAAAGCAA AACAAGCAAA
13320





AATTCCCCCT TCCCTCAAAA AAGGAAAGAG TTTTTGAAAA AGTTCATGTC AGTGAAGAAA
13380





AGACATGTTT TGGGAGTGAA GGATATTTGT GGATTTGTAT AGATGTGATC ATCAGGGCTG
13440





TGTTGTTTTG AAGTAATATA GGACATCTAG AGGAAAATTT ATTTTCAGCA GAGGAGGGAA
13500





AGATGAAGAG TAGGTACTTT TAAGCATCTT CACTTGAGGA GTGGCAAAAT GAGAAGCATA
13560





ACCTGCTATA ATCACTTTAA GAATTTCAGG CTGAGTGTGG TGGTGCAGTC TCTAGTCCCA
13620





GTTACTCCAG GAGGCTCAGG TGGGAGGATC ACTTAAGCCC AGGAGCTCGA GGTTGCAGTG
13680





AGCTATGATT ACACTACTGC ATTCCAGCCT GGGCGGCAGG GTGAAGCCTC ATCTCAAAAA
13740





TTAAAAAAAA AAAAAATCAA ACAAATTAAT CGAACGATGA CATGCACTTT TCTAGGTTGG
13800





TACCTTCCTT CTTGCGACTT GGATCCTGGA ACGTCATTAT GTTTGTGTGC TTTGAACAAC
13860





TGAAACGAGA ACTGTCAAAG TCAAGGCAGA CTATGGACTG TGCCACATAA TCAGCTTCAA
13920





GAAAATGATG TAACATACCA GTGGGAATCT TGCTGACTGG ATCATAAAAA CAAACAAAAC
13980





TTATTCACTT ATTTTAACCT AAAAAGATAA AGGAATTTTG GCAGAGAATT TTGGACTTTT
14040





TTATATAAAA AAGAGGAAAA TTAATGCCTA TTTCATATAA CTTTTTTTTT TTCTCAGTGT
14100





CTTAAGAAGG GGAAAGCAAA ACATTCAGCA TATACCCTGG CAAATGTAAT GCAGATAAGC
14160





TACTGCATTT GACCATTTCT GGAGTGCAAT TGTGTGAATG AATGTGAAGA ACTTTAACAT
14220





GTTTTAATTA CAATTCCAAC TGGTGGAAAA GAAACTGAGT GAAATGCAGT TTATATTTAT
14280





AAATACTTAA AAATGAAGTT ATTAAAAATA TTAGTTTTTA TTAACCACAG TTGTCAGTTA
14340





ATATATTCAA TAAAGTATTG CTAATACCTT TTAAAGTTTG TCTTTTGAGA TCTATACCTG
14400





GGTGTAAGAG TCAAGTTCAC TAGAATACAA GACTGCCCAA TAGCAAATGC AGGTCTTTAG
14460





AATCATAGGC ATGAACCTAC TCTGAATGTT ATTAGTATAG ATTTTTAATG TTTAGAGTCC
14520





AGATTTGATG ACATCTCTAA CAACTTCTAA TCTAAGACAC TATATTCATT TTGGCAGGAT
14580





TGCTACTAGA GTCTTGGTAT CTGTGCTAGC ATCACATAAT TTTAGAGCTG GAGGGTACTT
14640





CTGGGAAGAC AGAGGAACAG TTTGAGATTC CTACTGAGAT GAAAACGAAT CTTCATGGAA
14700





TCTTTCAGCA AAGCCAAATT CAAATTCATC ATTAGCACCT GTAGTAACCT TTTCAATGCC
14760





TACAAACTGC ATGCAGAAGA GATAGGGAAA CAGTAAAACA GATATTAAAA GAAGTTTTTA
14820





AGACAAAGCC CAGCCTGATT TTAAGCTAAA TCCAAGGATT GGCAGCTTGG ATGAGCAGGA
14880





AGGTTACAGG CTGCCAGACA TCATTCTAGT TCTGTTTTAA TCAACTCCAT GTTACATTTA
14940





CTATCAGGGA TTCTCACCTC ACCCTCATGC ATGTCTTCCC CATTCATTAC CCGCAAAAGT
15000





GTCTTGTAGC AGATGTCTTC TGTGTCCCAT ACATACCATT TTGCTCTTTA GTGCTTGCTG
15060





GCCTGACTTC CTATTGTCAT GTCAGCATCT GCCCTTTTTA GGGTCTCTGG CCACCAGAGC
15120





CAGCTTTACT CACCTGTGCA TGGCATTCTA GAAGAGCAGC AGGGAAAATA ACACAGCCCC
15180





AGTGCAGCCC TTAACCACCA ATAACTGGTA GTAGTTGGTG TACAAATATC TCAGTTCCCT
15240





CAACTGTCAG GTGGAATACC GCTGAGGGAT CAAACTCTAG TAACACACAG TAGTGTTTTG
15300





CTTACTATGG TTAACTAAAA AATCACAGGG TCTTCATGCA TTTGGAAAGG ATACTTTATT
15360





TCTTACAAAG GGTTACAGCC TACAAGGTGG TCATTCTGCA GGCTAGAAAG CGTAACCTCC
15420





AGCAAAGACC GGAGGCAGGC ACTTCTAGGG AAGGAAGAGT AAGACAGAAA TTTAAATTGA
15480





ATGGGTTGGC CAAGTATACA TATTCAACAG GCTACAGGTG GATTCATGAA TATTCATGAA
15540





GGCAGTCCTG ATGCATGCAT GTTACACCTT GGGGTGGAGG CTTAACATTT AAATGTATTA
15600





CAGTTAGGCC CTATACATGA AAAGGTGAAG CAGTAACACG AAGGCACACA ATGCACCATT
15660





TCTGTAAACA GGCCAGAGCC AGTTCACAGT GGTTGGTCTC TTATCATGAG AAAGCTACTA
15720





AAATCCTCTT GTCCAGTTAA AACTGTAGTT ATGGCTGGTG GAAAATGGGC TGGAGTCAGT
15780





CAACACTTGG TGAAGCTGCA GTTGCTTCAG ACACTCAAGG CCAGTGTTTG TTTAGCTGCT
15840





CGAGAAAAAG AAAAATCTTG TGGCAGTTAG AACATAGTTT ATTCTTTAAG TGTAGGAGTG
15900





TGTGACTTAA //







The nucleic acid sequence of the 2,113 base pair (bp) transcript ENST00000310473 of the human UCP2 gene is as follows (Eight Coding Exons in capital letters) (SEQ ID NO: 366-382):




























SEQ






Start
End


ID


No
Exon/Intron
Start
End
Phase
Phase
Length
Sequence
NO:
























5′ upstream





...aatcgacagc gaggccggtc gcgaggcccc agtcccgccc tgcaggagcc
366



sequence









1
EN5E00002
73,694,352
73,693,766


  587
AGCCGCGCGC TCGCTCGCA GAGGGTGGGT AGTTTGCCCAGCGTAGGGGG
367



287650





GCTGGGCCCA TAAAAGAGGA AGTGCACTTA AGACACGGCC










CCGCTGGACG CTGTTAGAAA CCGTCCTGGC TGGGAAGGCA










AGAGGTGTGT GACTGGACAA GACTTGTTTC TGGCGGTCAG TCTTGCCATC










CTCACAGAGG TTGGCGGCCC GAGAGAGTGT GAGGCAGAGG










CGGGGAGTGG CAAGGGAGTG ACCATCTCGG GGAACGAAGG










AGTAAACGCG GTGATGGGAC GCACGGAAAC GGGAGTGGAG










AAAGTCATGG AGAGAACCCT AGGCGGGGCG GTCCCCGCGG










AAAGGCGGCT GCTCCAGGGT CTCCGCACCC AAGTAGGAGC










TGGCAGGCCC GGCCCCGCCC CGCAGGCCCC ACCCCGGGCC










CCGCCCCCGA GGCTTAAGCC GCGCCGCCGC CTGCGCGGAG CCCCACTGCG










AAGCCCAGCT GCGCGCGCCT TGGGATTGAC TGTCCACGCT CGCCCGGCTC










GTCCGACGCG CCCTCCGCCA GCCGACAGAC ACAGCCGCAC










GCACTGCCGT GTTCTCCCTG CGGCTCG







Intron 1-2
73,693,765
73,692,678


1,088
gtgagcctgg ccccagccct gcgcc...actct ctgcctttgc tcacccacag
368


2
ENSE00001
73,692,677
73,692,521


  157
GACACATAGT ATGACCATTA GGTGTTTCGT CTCCCACCCA TTTTCTATGG
369



184362





AAAACCAAGG GGATCGGGCC ATGATAGCCA CTGGCAGCTT










TGAAGAACGG GACACCTTTA GAGAAGCTTG ATCTTGGAGG










CCTCACCGTG AGACCTTACA AAGCCGG







Intron 2-3
73,692,520
73,689,523


2,998
gtaagagtcc agtccaagga agagg...tgggg cttttctcct cttggcttag
370


3
ENSE00001
73,689,522
73,689,298

0
  225
ATTCCGGCAG AGTTCCTCTA TCTCGTCTTG TTGCTGATTA AAGGTGCCCC
371



184370





TGTCTCCAGT TTTTCTCCAT CTCCTGGGAC GTAGCAGGAA ATCAGCATCA










TGGTTGGGTT CAAGGCCACA GATGTGCCCC CTACTGCCAC TGTGAAGTTT










CTTGGGGCTG GCACAGCTGC CTGCATCGCA GATCTCATCA CCTTTCCTCT










GGATACTGCT AAAGTCCGGT TACAG







Intron 3-4
73,689,298
73,689,142


  156
gtgaggggat gaagcctggg agtct...tagct accctgtctt ggccttgcag
372


4
ENSE00001
73,689,141
73,688,931
0
1
  211
ATCCAAGGAG AAAGTCAGGG GCCAGTGCGC GCTACAGCCA
373



252503





GCGCCCAGTA CCGCGGTGTG ATGGGCACCA TTCTGACCAT










GGTGCGTACT GAGGGCCCCC GAAGCCTCTA CAATGGGCTG GTTGCCGGCC










TGCAGCGCCA AATGAGCTTT GCCTCTGTCC GCATCGGCCT GTATGATTCT










GTCAAACAGT TCTACACCAA GGGCTCTGAG C







Intron 4-5
73,688,930
73,688,063


  868
gtgagtatgg agcaagggtg taggc...cactg accccatggc tcgcccacag
374


5
ENSE00001
73,688,062
73,687,868
1
1
  195
ATGCCAGCAT TGGGAGCCGC CTCCTAGCAG GCAGCACCAC
375



184355





AGGTGCCCTG GCTGTGGCTG TGGCCCAGCC CACGGATGTG










GTAAAGGTCC GATTCCAAGC TCAGGCCCGG GCTGGAGGTG










GTCGGAGATA CCAAAGCACC GTCAATGCCT ACAAGACCAT










TGCCCGAGAG GAAGGGTTCC GGGGCCTCTG GAAAG







Intron 5-6
73,687,867
73,687,788


   80
gtgtgtacca gttgttttcc cttcc...accca ggatcttcct cctcctacag
376


6
ENSE00003
73,687,787
73,687,686
1
1
  102
GGACCTCTCC CAATGTTGCT CGTAATGCCA TTGTCAACTG TGCTGAGCTG
377



147097





GTGACCTATG ACCTCATCAA GGATGCCCTC CTGAAAGCCA ACCTCATGAC










AG







Intron 6-7
73,687,685
73,686,717


  969
gtgagtcatg aggtagacgg tgctg...tgcct tgcctgctcc tccttggcag
378


7
ENSE00001
73,686,716
73,686,536
1
2
  181
ATGACCTCCC TTGCCACTTC ACTTCTGCCT TTGGGGCAGG CTTCTGCACC
379



184349





ACTGTCATCG CCTCCCCTGT AGACGTGGTC AAGACGAGAT ACATGAACTC










TGCCCTGGGC CAGTACAGTA GCGCTGGCCA CTGTGCCCTT ACCATGCTCC










AGAAGGAGGG GCCCCGAGCC TTCTACAAAGG







Intron 7-8
73,685,535
73,686,167


  369
gtgagcctct ggtcctcccc accca...atgac ctgtgatttt tctcctctag
380


8
ENSE00001
73,685,166
73,685,712
2

  455
GTTCATGCCC TCCTTTCTCC GCTTGGGTTC CTGGAACGTG GTGATGTTCG
381



184368





TCACCTATGA GCAGCTGAAA CGAGCCCTCA TGGCTGCCTG CACTTCCCGA










GAGGCTCCCT TCTGAGCCTC TCCTGCTGCT GACCTGATCA CCTCTGGCTT










TGTCTCTAGC CGGGCCATGC TTTCCTTTTC TTCCTTCTTT CTCTTCCCTC










CTTCCCTTCT CTCCTTCCCT CTTTCCCCAC CTCTTCCTTC










CGCTCCTTTA CCTACCACCT TCCCTCTTTC TACATTCTCA TCTACTCATT










GTCTCAGTGC TGGTGGAGTT GACATTTGAC AGTGTGGGAG GCCTCGTACC










AGCCAGGATC CCAAGCGTCC CGTCCCTTGG AAAGTTCAGC










CAGAATCTTC GTCCTGCCCC CGACAGCCCA GCCTAGCCCA CTTGTCATCC










ATAAAGCAAG CTCAACCTTG GCGTC







3′





tcctccctct cttgtagctc ttaccagagg tcttggtcca atggcctttt...
382



downstream










sequence









The nucleic acid sequence of the 15,174 base pair (bp) of the human UCP2 gene (ENSG00000175567), including 5,000 bp 5′UTR and 2,000 bp 3′UTR, is as follows (Exons are in lowercase) [SEQ ID NO: 383]:
















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Claims
  • 1. A method for treating diabetes mellitus in a subject, the method comprising administering to the subject an effective amount of an antagomir of miR-22, miR-22-3p or miR-22-5p.
  • 2. The method of claim 1, wherein the human subject selected for treatment is overweight or obese or has a genetic or epigenetic predisposition to obesity.
  • 3. The method of claim 1, wherein the antagomir modulates the activity or expression of UCP1 or UCP2.
  • 4. The method of claim 1, wherein the antagomir comprises an antagomir of miR-22-3p.
  • 5. The method of claim 1, wherein the antagomir is linked to a targeting moiety or mixed with a liposome or nanoparticle.
  • 6. The method of claim 5, wherein the targeting moiety is an aptamer.
  • 7. The method of claim 5, wherein the targeting moiety delivers the miRNA agent to a specific cell type, organ or tissue.
  • 8. The method of claim 1, wherein the miRNA agent directly binds to the mRNA or promoter region of at least one mitochondrial uncoupler.
  • 9. The method of claim 1, wherein the miRNA agent directly binds to the 5′UTR or coding sequence of the mRNA of at least one mitochondrial uncoupler.
  • 10. The method of claim 1, wherein the miRNA agent modulates the activity of an activator or repressor of a mitochondrial uncoupling protein.
  • 11. The method of claim 1, wherein the mRNA or protein expression of the mitochondrial uncoupling protein is upregulated.
  • 12. The method of claim 1, wherein the mitochondrial uncoupling activity of the mitochondrial uncoupling protein is upregulated.
  • 13. The method of claim 1, wherein the subject is a mammal.
  • 14. The method of claim 13, wherein the mammal is a human.
  • 15. The method of claim 1, wherein the diabetes comprises type 2 diabetes mellitus.
  • 16. The method of claim 15, wherein the type 2 diabetes mellitus is early onset type 2 diabetes mellitus.
CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 14/714,470, filed May 18, 2015, which is a continuation of U.S. patent application Ser. No. 13/826,775, filed Mar. 14, 2013, which claims priority to U.S. Provisional Patent Application No. 61/636,059, filed Apr. 20, 2012, and U.S. Provisional Patent Application No. 61/681,750, filed Aug. 10, 2012. The entire contents of each of the above-referenced disclosures are specifically incorporated herein by reference without disclaimer.

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Related Publications (1)
Number Date Country
20170002354 A1 Jan 2017 US
Provisional Applications (2)
Number Date Country
61636059 Apr 2012 US
61681750 Aug 2012 US
Continuations (2)
Number Date Country
Parent 14714470 May 2015 US
Child 15266298 US
Parent 13826775 Mar 2013 US
Child 14714470 US