Cancer Chemoprevention Strategy Based on Loss of Imprinting of IGF2

Information

  • Patent Application
  • 20110014204
  • Publication Number
    20110014204
  • Date Filed
    December 07, 2007
    16 years ago
  • Date Published
    January 20, 2011
    13 years ago
Abstract
The present invention relates to targets of loss of imprinting (LOI) affected IGF2 gene products in pre-malignant tissues, where methods of inhibiting those targets, including IGFR1, are disclosed to prevent tumor development in subjects at risk for developing colorectal cancer (CRC). The present invention also relates to methods of identifying increased risk in developing CRC in a subject, including methods of assessing the efficacy of a chemotherapeutic regimen. Further, the present invention relates to methods for identifying anti-neoplastic agents.
Description
BACKGROUND OF THE INVENTION

1. Field of the Invention


The invention relates generally to cancer and, more specifically, to methods of chemoprevention of tumor development by inhibiting signal pathways associated with loss of imprinting (LOI) of insulin-like growth factor 2 (IGF2) gene.


2. Background Information


Genomic imprinting is an epigenetic modification in the gamete or zygote that leads to relative silencing of a specific parental allele in somatic cells of the offspring. Loss of imprinting (LOI) of the insulin-like growth factor II gene (IGF2) is defined as aberrant expression of the normally silent maternally inherited allele, which has been found to be associated with a five-fold increased frequency of intestinal neoplasia in humans and a five-fold increased frequency of first degree relatives with colorectal cancer (CRC), suggesting that LOI of IGF2 contributes substantially to the population risk of CRC. Previously, a combined epigenetic-genetic model of intestinal neoplasia was developed, crossing female mice with a deletion of the differentially methylated region (DMR) of H19 as well as H19 itself, with male mice harboring a mutation in the adenomatous polyposis coil (Apc) gene (Min mice). Maternal transmission of the DMR deletion leads to aberrant activation of the maternal Igf2 allele and LOI, a two-fold increased expression of IGF2 in the intestine, and a 1.8- to 2.5-fold increase in the frequency of intestinal adenomas in LOI(+) Min double heterozygotes. LOI leads to an increase in the progenitor cell (crypt) compartment and increased staining with progenitor cell markers. However, the mechanism for increased tumorigenesis may involve increased proliferation, decreased apoptosis, or an altered maturation program in the crypt, and no differences were seen using proliferation or apoptosis-specific immunostains in that mouse model that might clarify the mechanism. Furthermore, it is not clear that IGF2 itself is responsible for increased tumorigenesis, as alternatively it might reflect other epigenetic disruption, either of H19 at the locus, or even through trans-effects that have been observed between the H19 DMR and loci on other chromosomes.


IGF2 is an important autocrine and paracrine growth factor in development and cancer, signaling primarily through the insulin-like growth factor-I receptor (IGF1R), a transmembrane receptor tyrosine kinase. Activation of IGF1R leads to autophosphorylation of the receptor and activation of signaling cascades including the IRS-1/PI3K/AKT and GRB2/Ras/ERK pathways. IGF2 is overexpressed in a wide variety of malignancies, including CRC.


However, how LOI could lead to cancer remains enigmatic. Besides the question of specificity of LOI for the IGF2 signaling cascade as opposed to other cis or trans epigenetic effects associated with LOI, it is not clear how a simple doubling of dosage of IGF2, especially at the relatively low levels of expression found in normal colon, could lead to increased tumor risk. At the same time, if such a mechanistic link could be established, it would open the possibility of chemoprevention similar to the use of statins for reducing cardiovascular risk. That is because an epigenetic state in normal tissue that increases cancer risk might theoretically be reversed, lowering the risk of malignancy even before neoplasms arise.


SUMMARY OF THE INVENTION

The present invention relates to LOI genes and their gene products in pre-malignant tissues, where methods of inhibiting those LOI gene products can be used to prevent tumor development in subjects at risk for developing cancer. The present invention also relates to methods of identifying an increased risk in developing certain cancers in a subject, including methods of assessing the efficacy of a chemotherapeutic regimen for that subject. Further, the present invention relates to methods for identifying anti-neoplastic agents.


In one embodiment, a method of preventing tumor development in a subject is disclosed including administering an inhibitor of signal pathway activation by insulin-like growth factor 2 (IGF2), where the subject aberrantly expresses IGF2 due to loss of imprinting.


In one aspect, the subject is at risk of developing colorectal cancer (CRC) as compared with a subject not having LOI in IGF2. In another aspect, the inhibitor is selected from the group consisting of a tyrphostin, a pyrrolo[2,3-d]-pyrimidine, a monoclonal antibody, and a combination thereof. In a related aspect, the pyrrolo[2,3-d]-pyrimidine is NVP-AEW541.


In another aspect, the method of preventing tumor development further includes administering a chemotherapeutic agent, including, but not limited to, Aclacinomycins, Actinomycins, Adriamycins, Ancitabines, Anthramycins, Azacitidines, Azaserines, 6-Azauridines, Bisantrenes, Bleomycins, Cactinomycins, Carmofurs, Carmustines, Carubicins, Carzinophilins, Chromomycins, Cisplatins, Cladribines, Cytarabines, Dactinomycins, Daunorubicins, Denopterins, 6-Diazo-5-Oxo-L-Norleucines, Doxifluridines, Doxorubicins, Edatrexates, Emitefurs, Enocitabines, Fepirubicins, Fludarabines, Fluorouracils, Gemcitabines, Idarubicins, Loxuridines, Menogarils, 6-Mercaptopurines, Methotrexates, Mithramycins, Mitomycins, Mycophenolic Acids, Nogalamycins, Olivomycines, Peplomycins, Pirarubicins, Piritrexims, Plicamycins, Porfiromycins, Pteropterins, Puromycins, Retinoic Acids, Streptonigrins, Streptozocins, Tagafurs, Tamoxifens, Thiamiprines, Thioguanines, Triamcinolones, Trimetrexates, Tubercidins, Vinblastines, Vincristines, Zinostatins, and Zorubicins.


In one aspect, the inhibitor prevents the formation of aberrant crypt foci (ACF).


In another embodiment, a method of identifying an increased risk of developing colorectal cancer in a subject is disclosed including contacting a progenitor cell in a sample from a subject with insulin-like growth factor 2 (IGF2) and determining the sensitivity of the cell to IGF2 as determined by measuring a change in a signal pathway associated with DNA replication, DNA metabolism, cell cycling, apoptosis, and cell proliferation or by measuring a change in gene expression, protein levels, protein modification, or kinetics of protein modification, where an increase in the sensitivity of the progenitor cells to IGF2 correlates with increased risk of developing colorectal cancer.


In one aspect, the method includes determining gene expression changes between LOI positive (LOI(+)) and LOI negative (LOI(−)) progenitor cells, where the progenitor cells are associated with colorectal cancer, identifying genes which are overexpressed in the LOI(+) progenitor cells, contacting LOI (+) and LOI(−) cells with a mutagenic agent, contacting the cells with a ligand which is aberrantly expressed due to loss of imprinting (LOI) of the gene encoding the ligand in the presence and absence of a test agent. In another aspect, the signal pathway is IRS-1/PI3K/AKT or GRB2/Ras/ERK pathway. In a related aspect, the method includes determining the kinetics of modification of a AKT or ERK. In a further related aspect, the modification of AKT or ERK is phosphorylation.


In another aspect, measuring changes in gene expression, protein levels, protein modification, or kinetics of protein modification may be accomplished by monitoring such changes in the genes as set forth in Tables 3 and 5-7. In a related aspect, the genes as recited in Table 3 and 5-7 may be used as a diagnostic for determining risk. In another aspect, the method as discosed may be used in conjunction with methods for diagnosing cancers, including but not limited to, detection of tumor specific antigens/markers, biopsy, cytoscopy, X-rays, CT scans, PAP smears, detection of serum proteins, and the like.


In a related aspect, the method of identifying an increased risk includes contacting the cell with IGF2 in the presence of an inhibitor of IGF1 receptor, where a further decrease in signal pathway activation in the presence of the inhibitor correlates with increased risk of developing colorectal cancer.


In one aspect, the inhibitor is NVP-AEW541. In another aspect, the signal pathway is IRS-1/PI3K/AKT or GRB2/Ras/ERK pathway. In a related aspect, the signal pathway is measured via pathway activation of Akt/PKB.


In one embodiment, a method for identifying an anti-neoplastic agent is disclosed including determining gene expression changes between LOI positive (LOI(+)) and LOI negative (LOI(−)) progenitor cells, wherein the progenitor cells are associated with a neoplastic disorder, identifying genes which are overexpressed in the LOI(+) progenitor cells, contacting LOI+ and LOI— cells with a mutagenic agent, contacting the LOI(+) progenitor cells with a ligand which is aberrantly expressed due to loss of imprinting (LOI) of the gene encoding the ligand in the presence and absence of a test agent; where the ligand is associated with the neoplastic disorder, and determining the sensitivity of the LOI(+) and LOI(−) cells to the ligand in the presence and absence of the test agent, where sensitivity is measured by determining changes in a signal pathway associated with DNA replication, DNA metabolism, cell cycling, apoptosis, and cell proliferation, where a decrease in the sensitivity of the LOI(+) cells to the ligand is inversely proportional to the anti-neoplastic activity of the agent.


In one aspect, the ligand is IGF2. In another aspect, the neoplastic disorder is cancer. In a related aspect, the neoplastic disorder is colorectal cancer (CRC).


In another aspect, the agent reduces the sensitivity of signal transduction induced by the ligand via a cognate receptor for the ligand. In one aspect, the mutagenic agent is a physical agent or chemical agent.


In one aspect, the cells are contained in a microfluidic chip. In another aspect, the cells are contained in a non-human animal.


In another embodiment, a method of assessing the efficacy of a chemotherapeutic regimen is disclosed including periodically isolating a progenitor cell in a sample from a subject receiving a chemotherapeutic agent, contacting the progenitor cell in the sample with insulin-like growth factor 2 (IGF2), and determining the sensitivity of the progenitor cell to IGF2, where sensitivity is measured by determining changes in a signal pathway associated with DNA replication, DNA metabolism, cell cycling, apoptosis, and cell proliferation, where a reduction of the progenitor cell to form aberrant crypt foci (ACF) correlates with the efficacy of the regimen.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a bar graph which illustrates the validation of altered expression of genes identified by microarray analysis of intestinal crypts of LOI(+) and LOI(−) mice. Analysis was by quantitative real-time PCR of 10,000 crypts laser capture microdissected from 12 LOI(+) and 9 LOI(−) mice. Expression was normalized to β-actin, and the expression level in LOI(+) samples (grey box) relative to LOI(−) samples (black box) is shown. The bars indicate standard error. Rpa2, 1.38-fold (P=0.03); Card11, 1.44-fold (P=0.04); Ccdc5, 1.39-fold (P=0.03); Cdc6, 1.55-fold (P=0.003); Mcm5, 1.47-fold (P=0.007); Mcm3, 1.49-fold (P=0.002); Skp2, 1.37-fold (P=0.02); Chaf1a, 1.61-fold (P=0.009); Lig1, 1.54-fold (P=0.008) Gmnn, 1.33-fold (P=0.1); Rfc3, 1.31-fold (P=0.04); Ccnel1, 1.38-fold (P=0.04). Msi1 and p21/Cdkn1a expression were also examined.



FIG. 2 is a bar graph which shows gene expression levels in microdissected intestinal crypts. Qunatitative real-time PCR was performed on laser capture microdissected intestinal crypts from 12 LOI(+) and 9 LOI(−) mice. Expression was normalized to β-actin, and the expression level in LOI(+) samples (gray) relative to LOI(−) samples (black) is shown. The bars indicate standard error. (A) The up-regulated genes in the top ranking GO annotation categories (DNA replication per cell cycle genes listed in Table S1 3). (B) Receptor inhibition by NVP-AEW541 had a differential effect on proliferation-related gene expression in LOI(+) crypts. Analysis was by quantitative real-time PCR of laser capture microdissected crypts from four LOI(+) mice and four LOI(−) mice treated with NVP-AEW541 for 3 weeks. LOI(+) (gray bars), LOI(−) mice (black bars normalized to 1.0).



FIG. 3 shows bar graph data which demonstrates the induction of Cdc6 and Mcm5 gene expression by exogenous IGF2 protein, and inhibition by NVP-AEW541. Mouse ES cells were cultured in defined medium and treated with 800 ng/ml mouse lgf2 protein. Gene expression was analyzed by real-time RT-PCR and normalized to β-actin. Shown is the expression level without (black boxes) and with (gray boxes) the IGF1R inhibitor 3 μM NVP-AEW541 (a pyrrolo-2,3d-pyrimidine), normalized to time 0. The bars indicate standard error.



FIG. 4 is a photomicrograph which shows the colony size of LOI(−) and LOI(+) ES cells grown on feeder layer cells. 1,000 ES cells each were seeded on 3.5-cm dishes, and the size of 15-30 colonies was measured by photomicrosopy on days 1 through 6. Representative colonies on day 6 are shown. The bar represents 100 μm.



FIG. 5 is a graph showing the growth rate of LOI(−) and LOI(+) ES cell colonies grown on feeder layer cells. Four experiments were performed for each cell type using 4 independent LOI(−) and LOI(+) ES cell lines [black boxes, LOI(−); grey boxes, LOI(+)]. Sizes of 15-30 ES cell colonies each were measured on days 1 through 6. The bars indicate standard error.



FIG. 6 is a graph which shows the growth rate of LOI(−) and LOI(+) ES cells. Four experiments were performed on each cell type, culturing undifferentiated ES cells on gelatin-coated plates without feeder layer cells, using ESGRO Complete Clonal Grade defined medium (Chemicon) without serum or IGF2. Cell growth was determined by counting cells from 3 wells each for days 1 through 6, for four independent LOI(−) and LOI(+) ES cell lines. Doubling time of LOI(+) ES cells was 9.6±0.1 hours (mean±standard error), 26% faster than LOI(−) ES cells (12.1±0.5 hours, P=0.01). The bars indicate standard error.



FIG. 7 is a graph which demonstrates the inhibition of azoxymethane (AOM)-induced aberrant crypt foci (ACF) by NVP-AEW541. ACF formation in the colon was induced by AOM intraperitoneal injection, and treatment with NVP-AEW541 was by gastric gavage. Each ACF was formed of 1-4 aberrant crypts, and the number of ACF (# of ACF), the number of total aberrant crypts (# of AC), and the average number of aberrant crypts per ACF were measured.



FIG. 8 shows a single cell analysis of Akt activation by IGF2 in LOI(+) and LOI(−) mouse embryonic fibroblasts. (A) Akt/PKB activation was assayed by single cell immunocytochemistry with an antibody to phosphorylated Akt (Ser 473), in a monolithic 2-layer PDMS chip sealed with a glass coverslip, with defined media delivery controlled by a multiplexed system of valves. Live LOI(+) and LOI(−) MEF cells were stimulated within the microfluidic chips with varying doses of IGF2, with measurements at multiple time points at each IGF2 concentration. The Y axis shows the ratio of nuclear to background fluorescence. For each cell type, IGF2 concentration, and time point, at least 200 individual cellular measurements were obtained by digital imaging and analysis. (B) Inhibition of Akt activation by NVP-AEW541. The cells were assayed as in (A) at 60 min after coincubation with 400 ng/ml IGF2 and 3 μM NVP-AEW541 and compared with the unstimulated control. Each bar is based on measurements of >400 cells. Asterisk indicates statistical difference vs LOI(+) control (t test, P<0.001) (C) Single cell analysis of ERK activation by IGF2 in LOI(+) and LOI(−) MEF cells. Erk activation was assayed by single immunocytochemistry within microfluidic chips using an antibody to phosphorylated Erk2 from Upstate (Charlottesville, Va.). LOI(+) cells (gray) and LOI(−) cells (black) were exposed to 400 ng/ml IGF2 for indicated times. The y axis shows the ratio of nucleoar to background fluorescence normalized to the maximum level achieved in the LOI(+) cells. Error bars represent SD. Standard error bars are completely subsumed by the symbols on this scale. (D) Gene expression levels in mouse embryonic fibroblasts. Quantitative real-time PCR was performed on LOI(+) and LOI(−) MEF cells, with expression normalized to transferring receptor expression. The expression level in LOI(+) samples (black) relative to LOI(−) samples (gray) is shown. The bars indicate standard error.



FIG. 9 is a western blot which shows the effect of NVP-AEW541 on IGF2 signaling. Confirmation that NVP-AEW541 inhibits IGF2 signaling at the IGF1 receptor was done identically to those performed for IGF131. NIH 3T3 cells were passaged every 3 days and maintained with low glucose DMEM plus 10% CBS in 5% CO2. The day prior to transfection cells were trypinsized and seeded into PLL-coated glass bottom Mattek dishes. Cells typically reached about 70% confluence the next day, when they were transfected with eGFP-Akt-PH plasmid with Fugene lipid following the manufacturer's instructions. 8 hours after transfection, cells were starved in 0.2% CBS in low glucose DMEM (with no antibiotics) for at least 12 hours. Western blots were performed with the antibodies shown, and varying concentrations of NVP-AEW541, with or without IGF2.



FIG. 10 is a bar graph which shows the induction of Msi1 gene expression by exogenous IGF2 protein, and inhibition by NVP-AEW541. Mouse ES cells were cultured in defined medium and treated with 800 ng/ml mouse lgf2 protein. Gene expression was analyzed by real-time RT-PCR and normalized to β-actin. Shown is the expression level without (black boxes) and with (pink boxes) the IGF1R R inhibitor 3 μM NVP-AEW541, normalized to time 0. The bar represents standard error.



FIG. 11 shows bar graphs for gene expression levels in microdissected intestinal crypts. Quantitative real-time PCR was performed on laser capture microdissected intestinal crypts from 12 LOI(+) and 9 LOI(−) mice. Expression was normalized to β-actin, and the expression level in LOI(+) samples (grey) relative to LOI(−) samples (black) is shown. The bars indicate standard error.



FIG. 12 is a photograph showing the histology of the colon in AOM-treated LOI(+) mice. On the left, a representative aberrant crypt focus shows hyperproliferative features including crypt multiplicity, enlargement and elevation over surrounding mucosa. On the right is a cystically dilated crypt lined by enlarged cells with atypical nuclei and containing necrotic debris, reminiscent of sessile serrated adenomas found in the human colon.



FIG. 13 is a photograph showing the histology of the colon in AOM-treated LOI(+) mice. Compared to the normal colonic mucosa shown in panel A that contains crypts of uniform size and orientation, the representative aberrant crypt focus shown in panel B demonstrates hyperproliferative features including crypt multiplicity, enlargement and elevation over surrounding mucosa. In panels C and D, two different examples of cystically dilated crypts lined by enlarged cells with atypical nuclei and containing necrotic debris are shown (indicated by asterisks).



FIG. 14 are bar graphs demonstrating the inhibition of azoxymethane (AOM)-induced aberrant crypt foci (ACF) by NVP-AEW541. (A) ACF formation in the colon was induced by AOM i.p. injection, and treatment with NVP-AEW541 was by gastric lavage. Each ACF was formed of one of four aberrant crypts, and the number of ACF (# of ACF), the number of total aberrant crypts (# of AC), and the average number of aberrant crypts per ACF were measured. LOI(+) AOM mice (dark gray bars), LOI(−) AOM mice (black bars), LOI(+) AOM NVP mice (light gray bars), LOI(−) AOM NVP mice (gray bars). (B) The number of ACF and the number of total aberrant crypts (AC) were corrected by colon surface area (cm2).





DETAILED DESCRIPTION OF THE INVENTION

Before the present compositions and methods are described, it is to be understood that the invention is not limited to the particular methodologies, protocols, cell lines, assays, and reagents described, as these may vary. It is also to be understood that the terminology used herein is intended to describe particular embodiments of the present invention, and is in no way intended to limit the scope of the present invention as set forth in the appended claims.


It must be noted that as used herein and in the appended claims, the singular forms “a,” “an,” and “the” include plural references unless context clearly dictates otherwise. Thus, for example, a reference to “a ligand” includes a plurality of such ligands, a reference to a “cell” is a reference to one or more cells and to equivalents thereof known to those skilled in the art, and so forth.


Unless defined otherwise, all technical and scientific terms used herein have the same meanings as commonly understood by one of ordinary skill in the art to which this invention belongs. Although any methods and materials similar or equivalent to those described herein can be used in the practice or testing of the present invention, the preferred methods, devices, and materials are now described.


The practice of the present invention will employ, unless otherwise indicated, conventional methods of chemistry, biochemistry, molecular biology, cell biology, genetics, immunology and pharmacology, within the skill of the art. Such techniques are explained fully in the literature. See, e.g., Gennaro, A. R., ed. (1990) Remington's Pharmaceutical Sciences, 18th ed., Mack Publishing Co.; Colowick, S. et al., eds., Methods In Enzymology, Academic Press, Inc.; Handbook of Experimental Immunology, Vols. I-IV (D. M. Weir and C. C. Blackwell, eds., 1986, Blackwell Scientific Publications); Maniatis, T. et al., eds. (1989) Molecular Cloning: A Laboratory Manual, 2nd edition, Vols. I-III, Cold Spring Harbor Laboratory Press; Ausubel, F. M. et al., eds. (1999) Short Protocols in Molecular Biology, 4th edition, John Wiley & Sons; Ream et al., eds. (1998) Molecular Biology Techniques: An Intensive Laboratory Course, Academic Press); PCR (Introduction to Biotechniques Series), 2nd ed. (Newton & Graham eds., 1997, Springer Verlag).


Genomic imprinting is a parent of origin-specific gene silencing that is epigenetic in origin, i.e., not involving the DNA sequence per se but methylation and likely other modifications heritable during cell division (Feinberg, A. P., in The Metabolic and Molecular Bases of Inherited Disease, C. R. Scriver, et al., Eds. (McGraw-Hill, New York, 2002)). Loss of imprinting (LOI) of IGF2 was first discovered in embryonal tumors of childhood, such as Wilms tumor (WT), but is one of the most common alterations in cancer, including ovarian, lung, liver, and colon (Feinberg, A. P., in The Metabolic and Molecular Bases of Inherited Disease, C. R. Scriver, et al., Eds. (McGraw-Hill, New York, 2002)). The consequence of LOI is best understood in WT. Here it serves as a gatekeeper in about half of tumors, especially those that occur with relatively late onset, and leads to increased expression of IGF2 (Ravenel, J. D., et al., J. Natl. Cancer Inst. 93, 1698-1703 (2001)), an important autocrine growth factor in a wide variety of cancers including CRC (Lahm, H., et al., Br. J. Cancer 65, 341-346 (1992); M. C. Gelato and J. Vassalotti, J. Clin. Endocrinol. Metab. 71, 1168-1174 (1990); El-Badry, O. M., et al., Cell Growth Diff. 1, 325-331 (1990); Yee, D., et al., Cancer Res. 48, 6691-6696 (1988); Lamonerie, T., et al., Int. J. Cancer 61, 587-592 (1995); and Pommier, G. J., et al., Cancer Res. 52, 3182-3188 (1992)).


Epigenetic alterations in human cancers include global DNA hypomethylation, gene hypomethylation and promoter hypermethylation, and loss of imprinting (LOI) of the insulin-like growth factor-II gene (IGF2).


The present invention discloses that LOI increases the expression of proliferation-specific genes in specific tissues, including but not limited to, intestinal crypts. For example, this may be shown by LCM microarray and real-time quantitative PCR, and by in vitro stimulation with IGF2 and its inhibition by IGF1R blockade. Further, the present invention demonstrates that LOI(+) progenitor cells proliferate more rapidly in vitro, as measured by colony size and by growth in defined media. Moreover, IGF1R blockade also reduces the numbers of aberrant crypt foci in LOI(+) subjects exposed to AOM below that of AOM-treated LOI(−) subjects, suggesting that LOI(+) cells are inherently more sensitive to IGF2 signaling, which may be confirmed in vitro using a microfluidic chip (See Examples).


While not being bound by theory, the abrogation of AOM-induced aberrant crypt foci by an IGF2 signaling receptor inhibitor has been exploited to develop a chemopreventive strategy for subjects having neoplastic disorders, including but not limited to, colorectal cancer (CRC) in subjects with LOI. This approach may have a significant public health impact, since 5-10% of the population shows this epigenetic alteration (Cui et al., (2003) Science 299:1752-1755; Woodson et al., J Natl Cancer Inst (2004) 96:407-410), and may include the use of other compounds as disclosed below.


The present invention represents a fundamentally different approach for cancer mortality reduction, compared to screening for the presence of early tumors. For example, in cardiovascular disease prevention, there has been a shift in emphasis toward pharmacologically mediated risk reduction, even (and preferably) in those subjects with no apparent end organ disease at all (Cannon et al., N Engl J Med (2004) 350:1495-1504). In one embodiment, a method of preventing tumor development in a subject is disclosed including administering an inhibitor of signal pathway activation by insulin-like growth factor 2 (IGF2), where the subject aberrantly expresses IGF2 due to loss of imprinting. In one aspect, the inhibitor includes, but is not limited to, a tyrphostin, a pyrrolo[2,3-d]-pyrimidine, a monoclonal antibody and a combination thereof. In a related aspect, the pyrrolo[2,3-d]-pyrimidine is NVP-AEW541.


In one aspect, the inhibitor may be combined with know chemotherapeutic agents, including but not limited to, Aclacinomycins, Actinomycins, Adriamycins, Ancitabines, Anthramycins, Azacitidines, Azaserines, 6-Azauridines, Bisantrenes, Bleomycins, Cactinomycins, Carmofurs, Carmustines, Carubicins, Carzinophilins, Chromomycins, Cisplatins, Cladribines, Cytarabines, Dactinomycins, Daunorubicins, Denopterins, 6-Diazo-5-Oxo-L-Norleucines, Doxifluridines, Doxorubicins, Edatrexates, Emitefurs, Enocitabines, Fepirubicins, Fludarabines, Fluorouracils, Gemcitabines, Idarubicins, Loxuridines, Menogarils, 6-Mercaptopurines, Methotrexates, Mithramycins, Mitomycins, Mycophenolic Acids, Nogalamycins, Olivomycines, Peplomycins, Pirarubicins, Piritrexims, Plicamycins, Porfiromycins, Pteropterins, Puromycins, Retinoic Acids, Streptonigrins, Streptozocins, Tagafurs, Tamoxifens, Thiamiprines, Thioguanines, Triamcinolones, Trimetrexates, Tubercidins, Vinblastines, Vincristines, Zinostatins, and Zorubicins.


In one aspect, the subject is at risk of developing colorectal cancer (CRC) as compared with a subject not having LOI in IGF2. Thus, the present invention provides for a method of screening the general population for LOI, and providing pharmacological intervention that may reduce those at high risk to average or even reduced risk of colon cancer.


In another embodiment, a method of identifying an increased risk of developing colorectal cancer in a subject is disclosed including contacting a progenitor cell in a sample from a subject with insulin-like growth factor 2 (IGF2) and determining the sensitivity of the cell to IGF2 as determined by measuring a change in a signal pathway associated with DNA replication, DNA metabolism, cell cycling, apoptosis, and cell proliferation or by measuring changes in gene expression, protein levels, protein modification, or kinetics of protein modification, where an increase in the sensitivity of the progenitor cells to IGF2 correlates with increased risk of developing colorectal cancer. In one aspect, the method includes determining gene expression changes between LOI positive (LOI(+)) and LOI negative (LOI(−)) progenitor cells, where the progenitor cells are associated with colorectal cancer, identifying genes which are overexpressed in the LOI(+) progenitor cells, contacting LOI (+) and LOI(−) cells with a mutagenic agent, contacting the cells with a ligand which is aberrantly expressed due to loss of imprinting (LOI) of the gene encoding the ligand in the presence and absence of a test agent; wherein the ligand is associated with colorectal cancer, and determining the sensitivity of the LOI(+) and LOI(−) cells to the ligand in the presence and absence of the test agent. In another aspect, the signal pathway is IRS-1/PI3K/AKT or GRB2/Ras/ERK pathway. In a related aspect, the method includes determining the kinetics of modification of a AKT or ERK. In a further related aspect, the modification of AKT or ERK is phosphorylation.


In another aspect, measuring changes in gene expression, protein levels, protein modification, or kinetics of protein modification may be accomplished by monitoring such changes in the genes as set forth in Tables 3 and 5-7. In a related aspect, the genes as recited in Table 3 and 5-7 may be used as a diagnostic for determining risk in conjunction with methods as disclosed for cancers including, but not limited to, breast cancer, prostate cancer, cervical cancer, pancreatic cancer, gastric cancers, esophageal cancer, ovarian cancer, skin cancer, including methods as disclosed in, but not limited to, U.S. Pat. Nos. 7,264,928; 7,063,944; 6,890,514; 6,696,262; 6,720,189; 6,645,770; 6,410,335; 6,383,817; 6,282,305; 5,773,215. For example, such methods may include, but are not limited to, detection of tumor specific antigens/markers, biopsy, cytoscopy, X-rays, CT scans, PAP smears, detection of serum proteins, and the like.


In another embodiment, a method of assessing the efficacy of a chemotherapeutic regimen is disclosed including periodically isolating a progenitor cell in a sample from a subject receiving a chemotherapeutic, contacting the progenitor cell in the sample with insulin-like growth factor 2 (IGF2), and determining the sensitivity of the progenitor cell to IGF2, where sensitivity is measured by determining changes in a signal pathway associated with DNA replication, DNA metabolism, cell cycling, apoptosis, and cell proliferation, where a reduction of the progenitor cell to form aberrant crypt foci (ACF) correlates with the efficacy of the regimen.


The present invention also provides data for an “epigenetic progenitor model”, which demonstrates that there is a polyclonal change in the numbers and states of progenitor cells that arises prior to the genetic mutation, and increases the risk of cancer when a mutation occurs stochastically (Feinberg et al., Nat Rev Genet (2006) 7:21-33). Thus, LOI and cancer risk has been confirmed in a second animal model, and while not being bound by theory, a plausible mechanism for this progenitor cell expansion has been offered, namely increased IGF2 sensitivity in LOI(+) cells, leading to increased proliferation of progenitor cells. The present invention demonstrates that LOI is a paradigm for other epigenetic changes in apparently normal cells of subjects at risk of cancer, and includes other genes aberrantly expressed due to LOI, DNA methylation, or chromatin differences that distinguish non-tumor cells of subjects with cancer, or subjects at risk of cancer, from their non-cancer cohorts.


The present invention also demonstrates the absence of any ACF reduction by the IGF2 inhibitor in LOI(−) mice, and the presence of a reduction by the inhibitor of the numbers of ACF in LOI(+) mice below that seen in LOI(−) mice. While not being bound by theory, this result suggests that cells with LOI have enhanced sensitivity to low doses of IGF2, which is confirmed by studying downstream Akt/PKB signaling in a novel microfluidic chip system (See Examples). This in vitro analysis showed a marked potentiation of downstream IGF2 signaling in cells with LOI.


Again, not to be bound by theory, the increased sensitivity to IGF2 at low dose could help to explain the relationship between receptor-mediated signaling and cell growth. Based on the results described herein, proliferating cells may be more sensitive to a ligand at low density, with a relatively low accumulated IGF2. As cell density increases, autocrine and paracrine stimulation progressively increases local interstitial concentration of IGF2 causing a diminished effect on cellular proliferation, similar to that seen in in vitro experiments (see Examples), and providing an important check on growth control as the tissue reaches a critical size. In one embodiment, the difference in sensitivity of LOI(+) cells is used to favor an increased therapeutic ratio of IGF2 inhibitors for chemoprevention, since subjects (or cells) with normal imprinting would be relatively refractory to the drug. In a related aspect, for cancer risk control, subjects with higher risk might be lowered to an even lower risk category than baseline through targeted intervention as disclosed herein.


As used herein, when hypomethylation is measured, “the degree of LOI” means the percentage of methylation compared to a fully methylated DMR. As used herein, when expression of different polymorphisms is compared, “the degree of LOI” means total expression (as measured by actual expression or transcription) attributable to the allele which is normally imprinted. The degree of LOI may be calculated by allele ratio, i.e., the more abundant allele divided by the less abundant allele. The degree of LOI may be determined by any method which allows the determination of the relative expressions of the two alleles. For example, a degree of LOI of 100% reflects complete LOI (equal expression of both alleles), while a degree of LOI of 0% reflects no LOI (expression of only one allele). Any method of measuring the relative expression of the two alleles is considered to be included in the present invention.


Methods for detecting loss of imprinting are typically quantitative methods for analyzing imprinting status. The presence or absence of LOI may be detected by examining any condition, state, or phenomenon which causes LOI or is the result of LOI. Such conditions, states, and phenomena include, but are not limited to:


1. Causes of LOI, such as the state or condition of the cellular machinery for DNA methylation, the state of the imprinting control region on chromosome 11, the presence of trans-acting modifiers of imprinting, the degree or presence of histone deacetylation;


2. State of the genomic DNA associated with the genes or gene for which LOI is being assessed, such as the degree of DNA methylation;


3. Effects of LOI, such as:


a. Relative transcription of the two alleles of the genes or gene for which LOI is being assessed;


b. Post-transcriptional effects associated with the differential expression of the two alleles of the genes or gene for which LOI is being assessed;


c. Relative translation of the two alleles of the genes or gene for which LOI is being assessed;


d. Post-translational effects associated with the differential expression of the two alleles of the genes or gene for which LOI is being assessed;


e. Other downstream effects of LOI, such as altered gene expression measured at the RNA level, at the splicing level, or at the protein level or post-translational level (i.e., measure one or more of these properties of an imprinted gene's manifestation into various macromolecules); changes in function that could involve, for example, cell cycle, signal transduction, ion channels, membrane potential, cell division, or others (i.e., measure the biological consequences of a specific imprinted gene being normally or not normally imprinted (for example, QT interval of the heart). Another group of macromolecular changes include processes associated with LOI such as histone acetylation, histone deacetylation, or RNA splicing.


The degree of LOI can be measured for the IGF2 gene when screening for the presence of colorectal cancer, or other cancers, e.g., the degree of LOI is measured for the IGF2 gene when screening for the presence of stomach cancer, esophageal cancer, or leukemia.


A linear detection platform can be employed to quantitate LOI. A linear detection platform is a detection platform that allows quantitation because the amount of target present and signal detected are linearly related. In this regard, a Phosphorlmager (model 445SI, manufactured by Molecular Dynamics), which detects radioactive emissions directly from a gel, can be used. Other linear detection systems include carefully titrated autoradiography followed by image analysis, beta-emission detection analysis (Betascan). Another linear detection platform is an automated DNA sequencer such as ABI 377 analyzer. Another linear detection platform is an array based system with appropriate software. Another is SNuPE.


In addition to measuring the degree of imprinting when an imprinted polymorphism is present in a gene, it is possible to assess the degree of LOI in a particular gene even when an imprinted polymorphism is not present in that gene. For example, imprinting can be assessed by the degree of methylation of CpG islands in or near an imprinted gene (e.g., Barletta, Cancer Research, op. cit). In addition, imprinting can be assessed by changes in DNA replication timing asynchrony, e.g., White L M, Rogan P K, Nicholls R D, Wu B L, Korf B. Knoll J H, Allele-specific replication of 15q11-q 13 loci: a diagnostic test for detection of uniparental disomy. American Journal of Human Genetics. 59:423-30, 1996.


On the other hand, certain techniques are more conveniently used when there is a polymorphism in the two alleles of the gene or genes for which the presence or absence of LOI is being measured. For example, RT-PCR, followed by gel electrophoresis to distinguish length polymorphisms, or RT-PCR followed by restriction enzyme digestion, or by automated DNA sequencing, or by single strand conformational polymorphism (SSCP) analysis, or denaturing gradient gel electrophoresis, etc.; or, completely DNA based methods that exploit, for example DNA methylation, which require no RT step, to convert RNA to cDNA prior to PCR.


Once the degree of LOI, such as the level of hypomethylation, has been measured for the gene or genes in question, the risk of having cancer is then assessed by comparing the degree of LOI for that gene or genes to a known relationship between the degree of LOI and the probability of the presence of the particular type of cancer or other disease. The relationship between the degree of LOI and the probability of the presence of a particular type of cancer may be determined for any combination of a normally imprinted gene or genes and a particular type of cancer by determining.


When the degree of LOI is measured, such as the degree of IGF2 hypomethylation, the measured degree of LOI is compared to a known relationship between the degree of LOI and the probability of contracting the particular type of cancer. The relationship between the degree of LOI and the probability of contracting a particular type of cancer may be determined by one of ordinary skill in the art for any combination of a normally imprinted gene or genes and a particular type of cancer by determining the degree of LOI in a statistically meaningful number of tissue samples obtained from patients with cancer, and determining the degree of LOI in a statistically meaningful number of tissue samples obtained from patients without cancer, and then calculating an odds ratio as a function of the degree of LOI.


It should also be understood that measuring the degree of LOI, can be carried out by comparing the degree of LOI against one or more predetermined threshold values, such that, if the degree of LOI is below a given threshold value, which can be manifested in a regular methylation pattern, then the subject is assigned to a low risk population for having cancer, contracting cancer, and/or having replication error repair defects. Alternatively, the analytical technique may be designed not to yield an explicit numerical value for the degree of LOI, but instead yield only a first type of signal when the degree of LOI is below a threshold value and/or a second type of signal when the degree of LOI is below a threshold value. It is also possible to carry out the present methods by means of a test in which the degree of LOI is signaled by means of a non-numeric spectrum such as a range of colors encountered with litmus paper.


Although many conventional genetic mutations have been observed in human cancer, most do not occur at high frequency in the general population. Certain embodiments of the present invention are based on the finding of an association between loss of imprinting (LOI) of the IGF2 gene and family history of colorectal cancer (CRC) and between LOI of the IGF2 gene and present or past personal history of colorectal neoplasia. Accordingly, methods of the present invention analyze common molecular markers of cancer risk to identify an increased risk of developing cancer in a subject.


Certain embodiments of the present invention are based on the finding that loss of imprinting of the IGF2 gene is associated with cancers such as colorectal cancer, and that loss of imprinting of the IGF2 gene is correlated with hypomethylation of both the IGF2 gene and the H19 gene.


Accordingly, one aspect of the present invention relates to a method for identifying an increased risk of developing cancer in a subject.


A method of the present invention can also be used to infer a cancer risk of a subject.


As illustrated in the Example section, the present invention in certain embodiments, provides a method of identifying an increased risk of developing colorectal cancer in a subject including contacting a LOI(+) progenitor cell in a sample from a subject with insulin-like growth factor 2 (IGF2) and determining the sensitivity of the cell to IGF2 as determined by measuring a change in a signal pathway associated with DNA replication, DNA metabolism, cell cycling, apoptosis, and cell proliferation, where an increase in the sensitivity of the LOI(+) progenitor cell to IGF2 correlates with increased risk of developing colorectal cancer.


Loss of imprinting, an epigenetic alteration affecting the insulin-like growth factor II gene (IGF2), is found in normal colonic mucosa of approximately 30% of colorectal cancer (CRC) patients, compared to 10% of those without colorectal neoplasia (Cui, H., et al., Nat. Med. 4, 1276-1280 (1998)). Therefore, LOI occurs at a relatively high rate in CRC patients and in patients without colorectal neoplasia.


In the study provided in Example 1, 11 of 123 (9.0%) of patients with no family history of CRC showed LOI in lymphocytes, compared to 13 of 49 (27%) with a positive family history (adjusted odds ratio 4.41, 95% CI 1.62-12.0, p=0.004). Similarly, 7 of 106 (6.6%) patients without past or present colonic neoplasia showed LOI, compared to 12 of 56 (21%) patients with adenomas, and 5 of 9 (56%) patients with CRC (adjusted odds ratios 4.10 [95% CI 1.30-12.8, p=0.016] and 34.4 [95% CI 6.10-194, p<0.001], respectively). These data support the usefulness and effectiveness of methods of the present invention in identifying an increased risk of developing cancer.


A method according to the present invention can be performed during routine clinical care, for example as part of a general regular checkup, on a subject having no apparent or suspected neoplasm such as cancer. Therefore, the present invention in certain embodiments, provides a screening method for the general population. The methods of the present invention can be performed at a younger age than present cancer screening assays, for example where the method can be performed on a subject under 65, 55, 50, 40, 35, 30, 25, or 20 years of age.


If the biological sample of the subject in question is found to exhibit LOI, for example as the result of contacting a progenitor cell in a sample from a subject with a gene that is aberrantly expressed due to LOI and determining the sensitivity of the cell to LOI(+) gene, as determined by measuring a change in a signal pathway associated with DNA replication, DNA metabolism, cell cycling, apoptosis, and cell proliferation, where an increase in the sensitivity of the progenitor cells to IGF2 correlates with increased risk of developing cancer, then that subject is identified as having an increased probability of having cancer. In these embodiments, further diagnostic tests may be carried out to probe for the possibility of cancer being present in the subject. Examples of such further diagnostic tests include, but are not limited to, chest X-ray, carcinoembryonic antigen (CEA) or prostate specific antigen (PSA) level determination, colorectal examination, endoscopic examination, MRI, CAT scanning, or other imaging such as gallium scanning, and barium imaging. Furthermore, the method of the invention can be coincident with routine sigmoidoscopy/colonoscopy of the subject. The method could involve use of a very thin tube, or a digital exam to obtain a colorectal sample.


The method of the present invention, especially when used to detect local LOI, can be repeated at regular intervals. While not wanting to be limited to a particular theory, methods directed to detecting local LOI by analyzing a blood sample for LOI, typically identify germline mutations. Therefore, typically one test is sufficient. However, for methods used to detect local LOI, a third sample can be isolated, for example from colorectal tissue, for example at least 2 months after isolation of the second sample. For example, the third sample can be isolated at about 1 year after the second sample was isolated. In fact, the method can be repeated annually, for example at an annual routine physical exam. Using this regular testing, a method of the present invention is used to screen for an increased risk of developing colorectal cancer by a method that includes contacting a LOI(+) progenitor cell in a sample from a subject with insulin-like growth factor 2 (IGF2) and determining the sensitivity of the cell to IGF2 as determined by measuring a change in a signal pathway associated with DNA replication, DNA metabolism, cell cycling, apoptosis, and cell proliferation, where an increase in the sensitivity of the LOI(+) progenitor cells to IGF2 correlates with increased risk of developing colorectal cancer.


Additional diagnostic tests can be performed in the future, even if no cancer is present at the time LOI is detected. For example, if LOI is detected in a biological sample of a subject and indicates an increased risk of contracting cancer, periodic (e.g., every 1 to 12 months) chest X-rays, colorectal examinations, endoscopic examination, MRI, CAT scanning, other imaging such as gallium scanning, and/or barium imaging can be scheduled for that subject. Therefore, in these embodiments, LOI is used as a screening assay to identify subjects for whom more frequent monitoring is justified.


According to the present invention, the biological or tissue sample can be drawn from any tissue that is susceptible to cancer. For example, the tissue may be obtained by surgery, biopsy, swab, stool, or other collection method. The biological sample for methods of the present invention can be, for example, a sample from colorectal tissue, or in certain embodiments, can be a blood sample, or a fraction of a blood sample such as a peripheral blood lymphocyte (PBL) fraction. Methods for isolating PBLs from whole blood are well known in the art. In addition, it is possible to use a blood sample and enrich the small amount of circulating cells from a tissue of interest, e.g., colon, breast, etc. using a method known in the art.


When the method of the present invention provides a method for identifying an increased risk of developing colorectal cancer, a biological sample can be isolated from the colon. Such a tissue sample can be obtained by any of the above described methods, or by the use of a swab or biopsy. In the case of stomach and esophageal cancers, the tissue sample may be obtained by endoscopic biopsy or aspiration, or stool sample or saliva sample. In the case of leukemia, the tissue sample is typically a blood sample.


As disclosed above, the biological sample can be a blood sample. The blood sample can be obtained using methods known in the art, such as finger prick or phlebotomy. Suitably, the blood sample is approximately 0.1 to 20 ml, or alternatively approximately 1 to 15 ml with the volume of blood being approximately 10 ml.


Accordingly, in one embodiment, the identified cancer risk is for colorectal cancer, and the biological sample is a tissue sample obtained from the colon, blood, or a stool sample. In another embodiment, the identified cancer risk is for stomach cancer or esophageal cancer, and the tissue may be obtained by endoscopic biopsy or aspiration, or stool sample or saliva sample. In another embodiment, the identified cancer risk is esophageal cancer, and the tissue is obtained by endoscopic biopsy, aspiration, or oral or saliva sample. In another embodiment, the identified cancer risk is leukemia/lymphoma and the tissue sample is blood.


In the present invention, the subject is typically a human but also can be any mammalian organism, including, but not limited to, a dog, cat, rabbit, cow, bird, rat, horse, pig, or monkey.


As mentioned above, for certain embodiments of the present invention, the method is performed as part of a regular checkup. Therefore, for these methods the subject has not been diagnosed with cancer, and typically for these present embodiments it is not known that a subject has a hyperproliferative disorder, such as a colorectal neoplasm.


Methods of the present invention identify a risk of developing cancer for a subject. A cancer can include, but is not limited to, colorectal cancer, esophageal cancer, stomach cancer, leukemia/lymphoma, lung cancer, prostate cancer, uterine cancer, breast cancer, skin cancer, endocrine cancer, urinary cancer, pancreas cancer, other gastrointestinal cancer, ovarian cancer, cervical cancer, head cancer, neck cancer, and adenomas. In one aspect, the cancer is colorectal cancer.


A hyperproliferative disorder includes, but is not limited to, neoplasms located in the following: abdomen, bone, breast, digestive system, liver, pancreas, peritoneum, endocrine glands (adrenal, parathyroid, pituitary, testicles, ovary, thymus, thyroid), eye, head and neck, nervous (central and peripheral), lymphatic system, pelvic, skin, soft tissue, spleen, thoracic, and urogenital. Typically, as used herein, the hyperproliferative disorder is a cancer. In certain aspects, the hyperproliferative disorder is colorectal cancer.


The method can further include analysis of a second biological sample from the subject at a target tissue for loss of imprinting of the IGF2 gene, wherein a loss of imprinting in the second sample is indicative of an increased risk of developing cancer in the target tissue. In certain embodiments, the second biological sample is not a blood sample. For example, the first biological sample can be a blood sample and the second biological sample can be isolated from colorectal tissue.


In another embodiment, the present invention provides a method for managing health of a subject. The method includes performing the method for identifying an increased risk of developing cancer discussed above and performing a traditional cancer detection method. For example, a traditional cancer detection method can be performed if the method for identifying cancer risk indicates that the subject is at an increased risk for developing cancer. Many traditional cancer detection methods are known and can be included in this aspect of the invention. The traditional cancer detection method can include, for example, one or more of chest X-ray, carcinoembryonic antigen (CEA) level determination, colorectal examination, endoscopic examination, MRI, CAT scanning, or other imaging such as gallium scanning, and barium imaging, and sigmoidoscopy/colonoscopy, a breast exam, or a prostate specific antigen (PSA) assay.


In another embodiment, the present invention provides a method for prognosing cancer risk of a subject. The method includes contacting a LOI(+) progenitor cell in a sample from a subject with insulin-like growth factor 2 (IGF2) and determining the sensitivity of the cell to IGF2 as determined by measuring a change in a signal pathway associated with DNA replication, DNA metabolism, cell cycling, apoptosis, and cell proliferation; wherein an increase in the sensitivity of the LOI(+) progenitor cells to IGF2 correlates with increased risk of developing colorectal cancer


In another aspect, the present invention provides a method for identifying predisposition to colorectal cancer of a subject. The method includes contacting the cell with IGF2 in the presence of an inhibitor of IGF1 receptor, wherein a further decrease in signal pathway activation in the presence of the inhibitor correlates with increased risk of developing colorectal cancer. In this aspect of the invention, the first biological sample is typically a colorectal sample.


When detecting the presence or absence of LOI by relying on any one of these conditions, states, or phenomena, it is possible to use a number of different specific analytical techniques. In particular, it is possible to use any of the methods for determining the pattern of imprinting known in the art. It is recognized that the methods may vary depending on the gene to be analyzed.


Conditions, states, and phenomena which may cause LOI and may be examined to assess the presence or absence of LOI include the state or condition of the cellular machinery for DNA methylation, the state of the imprinting control region on chromosome 11, the presence of trans-acting modifiers of imprinting, the degree or presence of histone deacetylation or histone deacetylation, imprinting control center, transacting modulatory factors, changes in chromatin caused by polycomb-like proteins, trithorax-like proteins, human homologues of other chromatin-affecting proteins in other species such as Su(var) proteins in Drosophila, SIR proteins in yeast, mating type silencing in yeast, or XIST-like genes in mammals.


It is also possible to detect LOI by examining the DNA associated with the gene or genes for which the presence or absence of LOI is being assessed. By the term “the DNA associated with the gene or genes for which the presence or absence of LOI is being assessed” it is meant the gene, the DNA near the gene, or the DNA at some distance from the gene (as much as a megabase or more away, e.g., methylation changes can be that far away, since they act on chromatin over long distances). Typically, for the present invention LOI is identified or analyzed or detected by detecting hypomethylation of a DMR of the IGF2 gene and/or of a DMR of the H19 gene, as described herein.


The degree of methylation in the DNA, associated with the gene or genes for which the presence or absence of LOI is being assessed, can be measured or identified using a number of analytical techniques.


Numerous methods for analyzing methylation status of a gene are known in the art and can be used in the methods of the present invention to identify either hypomethylation or hypermethylation of the IGF2 gene. For example, analysis of methylation can be performed by bisulfite genomic sequencing. Accordingly, denatured genomic DNA can be treated with freshly prepared bisulfite solution at 55° C. in the dark overnight, followed by column purification and NaOH treatment. Bisulfite treatment modifies DNA converting unmethylated, but not methylated, cytosines to uracil.


It will be recognized primers may be designed depending on the site bound by the primer and the direction of extension from a primer. The regions amplified and/or otherwise analyzed using primer pairs can be readily identified by a skilled artisan using sequence comparison tools and/or by analyzing nucleotides fragments that are replicated using the primers. Therefore, it will be understood that identification of the binding sites for these primers using computational methods, will take into account that the primers can preferably bind to a polynucleotide whose sequence is modified by bisulfite treatment.


Bisulfite treatment can be carried out using the CpG Genome DNA Modification kit (Intergen, Purchase, N.Y.). For sequencing individual clones, the PCR products can be subcloned into a TA Cloning vector (Invitrogen, Carlsbad, Calif.) according to the manufacturer's instructions, and a series of clones, such as 10-15 clones, can be selected for sequencing.


PCR products can be purified using the QIAEX II gel extraction kit (Qiagen) and directly sequenced with an ABI Prism 377 DNA sequencer using the BIGDYE™. Terminator Cycle Sequencing kit following the manufacturer's protocol (PE Applied Biosystems, Foster City, Calif.).


Altered methylation can be identified by identifying a detectable difference in methylation. For example, hypomethylation can be determined by identifying whether after bisulfite treatment a uracil or a cytosine is present at specific residues. If uracil is present after bisulfite treatment, then the residue is unmethylated. Hypomethylation is present when there is a measurable decrease in methylation, or a measurable decrease in methylation of residues corresponding to methylated positions within the polynucleotides analyzed using select primers.


In an alternative embodiment, an amplification reaction can be preceded by bisulfite treatment, and the primers can selectively hybridize to target sequences in a manner that is dependent on bisulfite treatment. For example, one primer can selectively bind to a target sequence only when one or more base of the target sequence is altered by bisulfite treatment, thereby being specific for a methylated target sequence.


Other methods are known in the art for determining methylation status of a gene, such as the IGF2 gene, including, but not limited to, array-based methylation analysis and Southern blot analysis.


Methods using an amplification reaction, for example methods above for detecting hypomethylation of the IGF2 DMR can utilize a real-time detection amplification procedure. For example, the method can utilize molecular beacon technology (Tyagi S., et al., Nature Biotechnology, 14: 303 (1996)) or TAQMAN™ technology (Holland, P. M., et al., Proc. Natl. Acad. Sci. USA, 88:7276 (1991)).


Also methyl light (Trinh B N, Long T I, Laird P W. DNA methylation analysis by MethyLight technology, Methods, 25(4):456-62 (2001), incorporated herein in its entirety by reference), Methyl Heavy (Epigenomics, Berlin, Germany), or SNuPE (single nucleotide primer extension) (See e.g., Watson D., et al., Genet Res. 75(3):269-74 (2000)). Can be used in the methods of the present invention related to identifying altered methylation of IGF2.


As used herein, the term “selective hybridization” or “selectively hybridize” refers to hybridization under moderately stringent or highly stringent physiological conditions, which can distinguish related nucleotide sequences from unrelated nucleotide sequences.


As known in the art, in nucleic acid hybridization reactions, the conditions used to achieve a particular level of stringency will vary, depending on the nature of the nucleic acids being hybridized. For example, the length, degree of complementarity, nucleotide sequence composition (for example, relative GC:AT content), and nucleic acid type, i.e., whether the oligonucleotide or the target nucleic acid sequence is DNA or RNA, can be considered in selecting hybridization conditions. An additional consideration is whether one of the nucleic acids is immobilized, for example, on a filter. Methods for selecting appropriate stringency conditions can be determined empirically or estimated using various formulas, and are well known in the art (see, for example, Sambrook et al., supra, 1989).


An example of progressively higher stringency conditions is as follows: 2×SSC/0.1% SDS at about room temperature (hybridization conditions); 0.2×SSC/0.1% SDS at about room temperature (low stringency conditions); 0.2×SSC/0.1% SDS at about 42° C. (moderate stringency conditions); and 0.1×SSC at about 68° C. (high stringency conditions). Washing can be carried out using only one of these conditions, for example, high stringency conditions, or each of the conditions can be used, for example, for 10 to 15 minutes each, in the order listed above, repeating any or all of the steps listed.


The degree of methylation in the DNA associated with the gene or genes for which the presence or absence of LOI is being assessed, may be measured by fluorescent in situ hybridization (FISH) by means of probes which identify and differentiate between genomic DNAs, associated with the gene for which the presence or absence of LOI is being assessed, which exhibit different degrees of DNA methylation. FISH is described in the Human chromosomes: principles and techniques (Editors, Ram S. Verma, Arvind Babu Verma, Ram S.) 2nd ed., New York: McGraw-Hill, 1995, and de Capoa A., Di Leandro M., Grappelli C., Menendez F., Poggesi I., Giancotti P., Marotta, M. R., Spano A., Rocchi M., Archidiacono N., Niveleau A. Computer-assisted analysis of methylation status of individual interphase nuclei in human cultured cells. Cytometry. 31:85-92, 1998 which is incorporated herein by reference. In this case, the biological sample will typically be any which contains sufficient whole cells or nuclei to perform short term culture. Usually, the sample will be a tissue sample that contains 10 to 10,000, or, for example, 100 to 10,000, whole somatic cells.


Additionally, as mentioned above, methyl light, methyl heavy, and array-based methylation analysis can be performed, by using bisulfite treated DNA that is then PCR-amplified, against microarrays of oligonucleotide target sequences with the various forms corresponding to unmethylated and methylated DNA.


As mentioned above, methods for detecting LOI can identify altered methylation patterns. However, other methods for detecting LOI are known. For example, certain methods for detecting LOI identify allele-specific gene expression and rely upon the differential transcription of the two alleles. For these methods, RNA is reverse transcribed with reverse transcriptase, and then PCR is performed with PCR primers that span a site within an exon where that site is polymorphic (i.e., normally variable in the population), and this analysis is performed on an individual that is heterozygous (i.e., informative) for the polymorphism. A number of detection schemes can be used to determine whether one or both alleles is expressed. See also, Rainier et al. (1993) Nature 362:747-749; which teaches the assessment of allele-specific expression of IGF2 by reverse transcribing RNA and amplifying cDNA by PCR using new primers that permit a single round rather than nested PCR; Matsuoka et al. (1996) Proc. Natl. Acad Sci USA 93:3026-3030 which teaches the identification of a transcribed polymorphism in p57KIP2; Thompson et al. (1996) Cancer Research 56:5723-5727 which teaches determination of mRNA levels by RPA and RT-PCR analysis of allele-specific expression of p57KIP2; and Lee et al. (1997) Nature Genet. 15:181185 which teaches RT-PCR SSCP analysis of two polymorphic sites. In this case, the biological sample will be any which contains sufficient RNA to permit amplification and subsequent reverse transcription followed by polymerase chain reaction. Typically, the biological sample will be a tissue sample which contains 1 to 10,000,000, 1000 to 10,000,000, or 1,000,000 to 10,000,000, somatic cells.


LOI may also be detected by reliance on other allele-specific downstream effects. For example, depending on the metabolic pathway in which lies the product of the imprinted gene; the difference will be 2× versus 1× (or some number in between) of the product, and therefore the function or a variation in function specific to one of the alleles. For example, for IGF2, increased mitogenic signaling at the IGF1 receptor, increased occupancy of the IGF1 receptor, increased activity at the IGF2 catabolic receptor, decreased apoptosis due to the dose of IGF2; for KvLQT1, change in the length of the QT interval depending on the amount and isoform of protein, or change in electrical potential, or change in activity when the RNA is extracted and introduced into Xenopus oocytes.


The term “nucleic acid molecule” is used broadly herein to mean a sequence of deoxyribonucleotides or ribonucleotides that are linked together by a phosphodiester bond. As such, the term “nucleic acid molecule” is meant to include DNA and RNA, which can be single stranded or double stranded, as well as DNA/RNA hybrids. Furthermore, the term “nucleic acid molecule” as used herein includes naturally occurring nucleic acid molecules, which can be isolated from a cell, for example, the IGF2 gene, as well as synthetic molecules, which can be prepared, for example, by methods of chemical synthesis or by enzymatic methods such as by the polymerase chain reaction (PCR), and, in various embodiments, can contain nucleotide analogs or a backbone bond other than a phosphodiester bond.


The terms “polynucleotide” and “oligonucleotide” also are used herein to refer to nucleic acid molecules. Although no specific distinction from each other or from “nucleic acid molecule” is intended by the use of these terms, the term “polynucleotide” is used generally in reference to a nucleic acid molecule that encodes a polypeptide, or a peptide portion thereof, whereas the term “oligonucleotide” is used generally in reference to a nucleotide sequence useful as a probe, a PCR primer, an antisense molecule, or the like. Of course, it will be recognized that an “oligonucleotide” also can encode a peptide. As such, the different terms are used primarily for convenience of discussion.


A polynucleotide or oligonucleotide comprising naturally occurring nucleotides and phosphodiester bonds can be chemically synthesized or can be produced using recombinant DNA methods, using an appropriate polynucleotide as a template. In comparison, a polynucleotide comprising nucleotide analogs or covalent bonds other than phosphodiester bonds generally will be chemically synthesized, although an enzyme such as T7 polymerase can incorporate certain types of nucleotide analogs into a polynucleotide and, therefore, can be used to produce such a polynucleotide recombinantly from an appropriate template


In another aspect, the present invention includes kits that are useful for carrying out the methods of the present invention. The components contained in the kit depend on a number of factors, including: the condition, state, or phenomenon relied on to detect LOI or measure the degree of LOI, the particular analytical technique used to detect LOI or measure the degree of LOI, and the gene or genes for which LOI is being detected or the degree of LOI is being measured.


The following examples are intended to illustrate but not limit the invention.


EXAMPLES
Materials and Methods
Mice and Genotyping.

Mice with C57BL/6J background carrying a deletion in the H19 gene (3 kb) and 10 kb of the upstream region including the differentially methylated region (DMR) regulating IGF2 silencing were obtained from S. Tilghman (Princeton University) and maintained by breeding female wild-type C57B/6J and male H19+/−. Mice with biallelic IGF2 expression, and control littermates were isolated by crossing female H19+/− with male wild-type mice. Mice were genotyped by PCR which identified an 847 by product for the wild type allele and a 1,000-bp product for the mutant allele, using the following primers: H19-F, TCC CCT CGC CTA GTC TGG AAG CA (SEQ ID NO:1); Mutant-F, GAA CTG TTC GCC AGG CTC AAG (SEQ ID NO:2); Common-R, ACA GCA GAC AGC AAG GGG AGG GT (SEQ ID NO:3).


Since strain variation was known to be associated with the progression of the lesions, the littermate controls were treated with and without LOI, in which the dams were heterozygous for a deletion of the H19 differentially methylated region (DMR); inheritance of a maternal allele lacking the DMR leads to activation of normally silent allele of Igf2 [LOI(+)], whereas inheritance of a wild-type maternal allele leads to normal imprinting [LOI(−)].


Microarray Analysis.

In an initial pilot evaluation, total RNA was extracted from fresh frozen full thickness intestine using the RNeasy Kit, assessed using a Bioanalyzer (Agilent), and 2.7 μg of total RNA was labeled and hybridized to a National Institute on Aging (NIA) mouse 44 k microarray (Version 2.0, manufactured by Agilent, #12463). Initially two sets of 6 samples were compared, three LOI(+) from males to three LOI(−) from females, and a separate analysis of three LOI(+) from females and three LOI(−) from males, confirming the sensitivity of the comparison by the detection of known gender-specific differences including Xist, Eif2s3y, and Ddx3y. Statistical analysis was done using NIA array analysis software (Sharove et al., Bioinformatic (2005) 21-2548-2549). Genes showing consistent and statistically significant changes (P≦0.05) in both sets were analyzed for enrichment in Gene Ontogeny categories using the NIA Mouse Gene Index (Ver. Mm5)*Sharov et al., Genome Res (2005) 15:748-754). This can be found at the MA Mouse Gene Index website hosted by the National Institutes of Health, Bethesda Md. For validation, 14 LOI(−) and 14 LOI(+) RNA samples were collected similarly and used for real-time RT-PCR.


To detect gene expression change in intestinal progenitor cells more definitively, laser capture microdissection (LCM) was performed to isolate intestinal crypt cells. Slides were pretreated with RNAzap (Ambion), rinsed with DEPC-treated water, dried, and UV-irradiated, then frozen intestines were embedded in OCT, sectioned at 10 μm, and fixed with 70% ethanol on the slides. Slides were stained with hematoxylin (Sigma), dehydrated and used for LCM within one week. 5,000-13,000 intestinal crypts were dissected by LCM from each of three LOI(+) and LOI(−) mice, and 2-6 μg of RNA were collected using the RNeasy Kit (Qiagen). 1.7 μg of total RNA from each sample was used for labelling, and gene expression was analyzed with a NIA mouse 44 k microarray (Ver 2.1, manufactured by Agilent, #014117). Genes were examined for statistically significant enrichment in Gene Ontogeny categories.


For validation, LCM was performed on an additional 12 LOI(+) and 9 LOI(−) mice, isolating approximately 800 crypts yielding more than 300 ng of total RNA from each. RNA samples were reverse-transcribed using SUPERSCRIPT II (Invitrogen), and quantified using SYBR Green PCR Core Reagents and an ABI Prism 7700 Sequence Detection System (Applied Biosystems), and normalized to β-actin. Primers and annealing temperatures are provided in Table 1.









TABLE 1







Primers for real-time RT-PCR.









Primers (forward; reverse;


Genes
annealing temperature; product length)





Igf2
cat cgt gga aga gtg ctg ct;



(SEQ ID NO: 4)



ggg tat ctg ggg aag tcg t;



(SEQ ID NO: 5)



62° C.; 132 bp





Axin2
aac aca gaa gac agc tcc tca;



(SEQ ID NO: 6)



gtc tga atc gat ggt aaa cct g;



(SEQ ID NO: 7)



59° C.; 166 bp





Tiam 1
cac ttc aag gag cag ctc agc;



(SEQ ID NO: 8)



gct cag tcg atc ctc tcc ac;



(SEQ ID NO: 9)



59° C.; 190 bp





Rpa2
atg gat gtt cgt cag tgg gtt;



(SEQ ID NO: 10)



cca gag gaa tga tct taa agg c;



(SEQ ID NO: 11)



60° C.; 145 bp





Card11
gaa gac gag gtg ctc aat gc;



(SEQ ID NO: 12)



cct ttg tcc ctt ggt gtg aa;



(SEQ ID NO: 13)



60° C.; 90 bp





Ccdc5
ggg aca tca gcc tgg taa tag a;



(SEQ ID NO: 14)



ctt aga cag att ggc agg tga a;



(SEQ ID NO: 15)



60° C.; 122 bp





Cdc6
tgt gga gtc gga tgt cag ga;



(SEQ ID NO: 16)



ggg ata tgt gag caa gac caa;



(SEQ ID NO: 17)



60° C.; 107 bp





Mcm5
cca ggt cat gct caa gtc aga;



(SEQ ID NO: 18)



gaa tgg aga tac gag tag cct t;



(SEQ ID NO: 19)



60° C.; 140 bp





Mcm3
cgc aga gag act act tgg act tc;



(SEQ ID NO: 20)



agc cga tac tgg ttg tca ctg;



(SEQ ID NO: 21)



60° C.; 97 bp





Skp2
agt caa ggg caa agg gag tg;



(SEQ ID NO: 22)



gag gca cag aca gga aaa gat;



(SEQ ID NO: 23)



60° C.; 136 bp





Chaf1a
tcc cag tga aga ggt taa tac aag;



(SEQ ID NO: 24)



gat gtg tct tcc tca act ttc tc;



(SEQ ID NO: 25)



60° C.; 85 bp





Lig1
cgg aca ttt gag aag att gcg g;



(SEQ ID NO: 26)



aga tag aga aca ggg agc aag tc;



(SEQ ID NO: 27)



60° C.; 119 bp





Gmnn
tga aaa taa gga tgt tgg aga cc;



(SEQ ID NO: 28)



gcc act tct ttc caa tac tga g;



(SEQ ID NO: 29)



60° C.; 90 bp





Rfc3
cca cct tga agt taa tcc cag t;



(SEQ ID NO: 30)



tgt cca cct ctg tca ata ata cc;



(SEQ ID NO: 31)



60° C.; 143 bp





Ccne1
agt tct tct gga ttg gct gat g;



(SEQ ID NO: 32)



gta acg atc aaa gaa gtc ctg tg;



(SEQ ID NO: 33)



60° C.; 91 bp





Msil
tgc tgg gta ttg gga tgc t;



(SEQ ID NO: 34)



tcg ggg aac tgg tag gtg ta;



(SEQ ID NO: 35)



60° C.; 103 bp





p21
aca gcg ata tcc aga cat tca ga;



(SEQ ID NO: 36)



cga aga gac aac ggc aca ct;



(SEQ ID NO: 37)



60° C.; 99 bp





β-actin 
tac cac cat gta ccc agg ca;



(SEQ ID NO: 38)



gga gga gca atg atc ttg at;



(SEQ ID NO: 39)



60° C.; 93 bp









Establishment of Mouse Embryonic Stem (ES) Cells and Mouse Embryonic Fibroblasts (MEFs).

Timed mating was performed between female H19 mutant mice and male wild type mice after intraperitoneal injection of 5 IU pregnant mare serum gonadotropin, followed two days later with 5 IU of human chorionic gonadotropin. On embryonic day 13.5, embryos were isolated, digested with trypsin, seeded onto 10-cm cell culture dishes, and split twice at 1:3-1:4 before being frozen. Genomic DNA was extracted for genotyping H19 (thus identifying LOI status). For ES cells, timed mating was performed between 4-week old female H19 mutant mice and 8-10 week old male wild type mice. On embryonic day 3.5, the uteri were flushed and embryos were collected and cultured as described Cowan et al., ES Cell Targeting Core Laboratory, 2006). Inner cell mass outgrowths were aspirated and plated. Eight clones were successfully expanded to 3.5-cm dishes. For ES colony size assays, ES cells and feeder layer cells were trypsinized and seeded on gelatin-coated plates for 30 minutes to let the feeder layer cells attach, and the supernatant was aspirated and underwent this procedure once more. The predominantly ES nonadhered population was counted, and 1,000 cells were seeded on a feeder layer in 6-well plate on day 0, measuring the sizes of 15-30 randomly chosen ES colonies on days 1 through 6. ES growth rate assays were performed in ESGRO Complete Clonal Grade Medium (Chemicon). After collecting predominantly ES nonadhered population as above, cells were split at 1:4 density twice more in ESGRO Complete medium to eliminate any feeder layer cells. 200,000 ES cells were then seeded on gelatin-coated 6-well plate without a feeder layer on day 0, and cell number was determined on days 1, 2, 3 and 4. The analysis was performed in triplicate, and blinded for genotype.


For IGF2 stimulation, wild type ES cells were isolated as described above, and cultured in ESGRO Complete Basal Medium with 800 ng/ml of mouse Igf2 recombinant protein (StemCell Technologies), with or without 3 μM NVP-AEW541 (Novartis). Cells were washed with PBS twice and RNA was extracted using the RNeasy Kit (QIAGEN) at Oh, 3 h, 6 h, 10 h, and 24 h. Gene expression was assayed by real-time quantitative RT-PCR as described above.


Azoxymethane and NVP-AEW541 Administration In Vivo.

7 week old LOI(+) and LOI(−) littermate controls were treated with AOM at 10 mg/kg body weight intraperitoneally once per week for three weeks, and euthanized 5 weeks after the first dose of AOM. The entire colon was resected from mice after laparotomy, flushed with PBS, filled with 10% buffered formalin (Sigma) for one minute, opened longitudinally, fixed flat between filter paper in formalin at 4° C. overnight, rinsed with PBS, and stained with 0.2% methylene blue in saline. The number of ACF per colon and the number of aberrant crypts per ACF were scored under a light microscopy as previously described Bird, Cancer Lett (1987) 37:147-151). NVP-AEW541 (50 mg/kg) was administered by oral gavage, beginning 1 week before AOM treatment, and NVP-AEW541 was administered 7 days/week, twice a day for 5 weekdays and once a day for 2 weekend days, for 6 weeks until sacrifice.


Microfluidic Chamber Assays.

The immunostaining automation device consists of a monolithic 2-layer PDMS chip sealed with a glass coverslip, fabricated using techniques described previously (Unger et al., Science 288 (2000) 288:113-116). Multiplexing valves were actuated by pressure lines connected to off-device solenoid valves. The chip architecture, performance and validation are all described in a separate manuscript submitted for publication. The glass substrate of the cell culture chamber was coated by introducing 0.1% gelatin (Sigma) into the device for at least 30 minutes, then cells were introduced and allowed to attach for 3 hours. IGF2 (StemCell Technologies) dissolved in cell media was introduced to each chamber at different times so that the end of all stimulation periods coincided. To end the experiment, ice-cold PBS (Invitrogen) was introduced into all chambers followed immediately by 4% paraformaldehyde (Electron Microscopy Systems) for 20 minutes. Cells were permeabilized with 0.1% Triton X-100 (Sigma) for 5 min and blocked with 10% goat serum (Sigma), with PBS washes in between. The cells were incubated with 1:100 anti-phospho-Akt primary antibody (Ser 473, Upstate) in blocking solution for 1 hour, washed in PBS, then incubated with 1:200 Alexa 488-conjugated goat anti-rabbit secondary antibody (Invitrogen), 1:500 Hoechst 33258 (Sigma), plus 1:40 Texas Red phalloidin (Invitrogen) in blocking solution for 1 hour. Finally, cells were washed and kept in PBS to prevent drying during imaging. Imaging was performed using a motorized Zeiss inverted epifluorescence microscope equipped with a Cascade 512B CCD camera. Using custom MATLAB (Mathworks) programs, the images were Hatfield-corrected, stitched together, and quantified. Briefly, the Hoechst image was used to determine the nuclear region for each cell and the average staining intensity in this region was compared to background. For each cell type and time point, 200-300 cells were analyzed in this manner to ensure statistical significance.


Since both the endogenous IGF2 and IGF2 used in the MEF experiments are susceptible to IGF2 binding protein (IBP)-based inactivation, the dose of an IBP-resistant IGF2 variant was determined producing similar levels of Akt activation. This level was found to be approximately 50 ng/ml (6.5 nM; Akt activation is equivalent to that obtained in approximately 600 ng/ml of the IBP sensitive IGF1), comparably to the previously estimated kD of IGF1R for IGF2 (1-10 nM), indicating that receptor saturation was not achieved. These results suggest that the experiments were carried out in a sub-saturation regime, including the case when the does of IBP-sensitive IGF2 was increased up to 1600 ng/ml.


Given that the effect of LOI of IGF2 is only a two-fold change in gene expression and protein (Sakatani et al., Science 307 (2005) 307:1976-1978) an approach was designed to detect with sufficient statistical power modest to moderate changes in downstream gene expression. Preliminary experiments were first performed comparing gene expression in full thickness intestine derived from 6 LOI(+) and 6 LOI(−) littermates, by extracting RNA and hybridizing to a mouse 44K microarray of 60-mer oligos representing 23,933 genes (Carter et al., Genome Biol (2005) 6:R61). 508 genes were found with increased expression and 147 genes with decreased expression in the intestine of LOI(+) mice. Gene Ontology (GO) annotations showed that among genes overexpressed in the intestine of LOI(+) mice, there was an overrepresentation in intestinal expression in LOI(+) mice of genes showing increased expression involved in the DNA replication (P<10−10), cell cycle (P<10−7), and cholesterol biosynthesis and metabolism (each P<10−12) categories, and of genes showing decreased expression involved in carbohydrate, glucose and monosaccharide metabolism (each P<10−15)(Table 2).









TABLE 2





Genes with significant differences in expression in LOI(+) mice found by


microarray analysis of laser capture microdissected crypts.







Upregulated in LOI














Total GO-
Total GO-





Genes
annotated
annotated
Total GO-



upregulated in
upregulated
genes in
annotated


GO-annotation Category
category
genes
category
genes
P value





Cholesterol biosynthesis
5
312
17
12933
10−12


Cholesterol metabolism
8
312
41
12933
10−12


Sterol metabolism
8
312
44
12933
10−11


Sterol biosynthesis
5
312
19
12933
10−11


DNA replication and chromosome
13
312
103
12933
10−11


cycle


DNA replication
11
312
83
12933
10−10


RNA metabolism
20
312
252
12933
10−8


Cell cycle
32
312
527
12933
10−7


Steroid Metabolism
10
312
92
12933
10−7


RNA binding
23
312
354
12933
10−6


Cell proliferation
36
312
692
12933
10−6


Muscle development
9
312
92
12933
10−5


Pre-mRNA splicing factor activity
5
312
35
12933
10−5


Steroid biosynthesis
6
312
49
12933
10−5


Mitosis
8
312
82
12933
10−5


Nucleic acid binding
81
312
2185
12933
10−5


M phase of mitotic cell cycle
8
312
83
12933
10−5


Nucleoside, nucleotide, and
79
312
2142
12933
10−4


nucleic acid metabolism


Metabolism
157
312
5100
12933
10−4


Mitotic cell cycle
10
312
129
12933
10−4


RNA processing
13
312
196
12933
10−4


Muscle contraction
6
312
60
12933
10−4


Nuclear division
9
312
115
12933
10−4


Cell growth and/or maintenance
102
312
3061
12933
10−4


Structural constituent of
8
312
98
12933
10−4


cytoskeleton










Downregulated in LOI














Total GO-
Total GO-





Genes
annotated
annotated
Total GO-



downregulated
downregulated
genes in
annotated


GO-annotation Category
in category
genes
category
genes
P value





Glucose metabolism
7
73
76
12933
10−15


Energy derivation by oxidation of
8
73
112
12933
10−15


organic compounds


Energy pathways
8
73
115
12933
10−15


Hexose metabolism
7
73
94
12933
10−15


Monosaccharide metabolism
7
73
95
12933
10−15


Main pathways of carbohydrate
6
73
80
12933
10−15


metabolism


Carbohydrate metabolism
10
73
271
12933
10−11


Alcohol metabolism
7
73
162
12933
10−10


Lipid metabolism
8
73
379
12933
10−4









A limitation of this analysis is that it was based on full thickness intestine, yet the progenitor cell compartment, i.e. crypts, are specifically altered histopathologically in LOI (Sakatani et al. (2005)). Therefore compartment-specific gene expression was examined by microdissecting an average of 8,000 crypts from each of 3 LOI(+) and 3 LOI(−) mice, yielding >2 μg RNA from each mouse, sufficient for an independent microarray experiment. This analysis revealed a more limited subset of differentially expressed genes in LOI(+) crypts, with 283 genes with increased expression and 109 genes with decreased expression (Table 3).









TABLE 3







List of Genes with Significant Difference (P < 0.01) in Microarray Analysis of


Laser Capture Microdissected Crypts (Upregulation in LOI(+) crypt).




















Mean







Gene






(H19rout,
Mean

Fold




Index ‘U’

GenBank


Feature id
L0I+)
(H19wt, L0I~)
LogRatio
Chng
P
FDR
Noisy Symbol
Annotation
Cluster
RefSeq Acc
Acc
MGI






















Z00054923-1
3.2334
2.99251
0.24089
1.741
0
0
0
RIKEN cDNA 4933412E14
U010S08
NM
AK031523










4933412E14Rik
gene

173778.2


Z00058818-1
3.1107
2.87631
0.23439
1.715
0
0
0 Ell3

Mus musculus elongation

U023264
NM_145973.2
BC034181










factor RNA polymerase II-like










3 (Ell3), mRNA


Z00005006-1
3.0028
2.81491
0.18789
1.541
0
0.0002
0 Fads1
fatty acid desaturase 1
U019152
NM
AB072976












146094.1


Z00034337-1
3.2028
3.00401
0.19879
1.58
0
0.0004
0 Utp14b, Acsl3
UTP14, U3 small nucleolar
U000484
NM_001001981.1
AK012088
MGI: 1921455










ribonucleoprotein, homolog B










(yeast)


Z00025331-1
2.6919
2.51421
0.17769
1.505
0
0.0005
0 Agxt
alanine-glyoxylate
U000625
NM_016702.1
AF027730
MGI: 1329033










aminotransferase


Z00042824-1
3.0136
2.85091
0.16269
1.454
0
0.0036
0 LOC328644

Mus musculus hypothetical

U016925
NM_198629.1
BC052055










gene supported by AK045595










(LOC328644), mRNA


Z00001868-1
3.1896
3.0162
0.1734
1.49
0
0.0036
0 Skp2
S-phase kinase-associated
U042092
NM_013787.1
AF083215
MGI: 1351663










protein 2 (p45)


Z00036538-1
3.4269
3.22431
0.20259
1.594
0
0.0046
0 Pcsk5
proprotein convertase
U038896
XM_129214.3
AK032736
MGI: 97515










subtilisin/kexin type 5


Z00045684-1
3.7357
3.5183
0.2174
1.649
0
0.005
0 Card11
caspase recruitment domain
U026896
NM_175362.1
AK002346
MGI: 1916978










family, member 11


Z00031491-1
2.6652
2.5094
0.1558
1.431
0
0.005
0
RIKEN cDNA 4833432E10
U033757

AK019520









4833432E10Rik
gene


Z00061761-1
2.8658
2.7094
0.1564
1.433
0
0.0075
0
RIKEN cDNA 4122402O22
U016876
NM_029945.1
AK019466









4122402O22Rik
gene


Z00037841-1
2.8932
2.6632
0.23
1.698
0
0.0077
0
RIKEN cDNA 1300015B04
U019163
XM_129157.3
AK005010









1300015B04Rik
gene


Z00046478-1
3.0371
2.8659
0.1712
1.483
0
0.0098
0
RIKEN cDNA 1110030E23
U305624

BC005413









1110030E23Rik
gene


Z00059432-1
2.6639
2.51711
0.14679
1.402
0
0.0132
0 Ssty2
spermiogenesis specific
U106390
NM_023546.2
AK006494
MGI: 1917259










transcript on the Y 2


Z00025935-1
3.2068
3.04591
0.16089
1.448
0
0.0132
0 H2-t3
histocompatibility 2, T region
U121934
NM_008208.2
AK033602
MGI: 95959










locus 3


Z00041427-1
3.0198
2.80481
0.21499
1.64
0
0.0163
0
RIKEN cDNA 2810451E09
U010411

BC050133









2810451E09Rik
gene


Z00063107-1
2.8184
2.6746
0.1438
1.392
0
0.0192
0 BC049987
cDNA sequence BC049987
U091699

BC042789


Z00000414-1
2.9182
2.7672
0.151
1.415
0
0.0203
0 Cdc6
cell division cycle 6 homolog
U013318
NM_011799.1
AJ009559
MGI: 1345150










(S. cerevisiae)


Z00054968-1
3.5204
3.3472
0.1732
1.49
0
0.0454
0 Xylb
xylulokinase homolog (H. influensae)
U011136
XM_135223.3
AK180117


Z00034045-1
3.6792
3.51
0.1692
1.476
0
0.0463
0 Ccne1
cyclin El
U028449
NM_007633.1
AK089950
MGI: 88316


Z00024521-1
3.4708
3.2012
0.2696
1.86
0
0.0476
0 Es22
esterase 22
U030102
NM_133660.1
BC019208
MGI: 95432


Z00056317-1
3.4558
3.27661
0.17919
1.51
0
0.0541
0 Tubgcp2
tubulin, gamma complex
U029416
NM_133755.1
AK006233










associated protein 2


Z00036351-1
3.2359
3.0925
0.1434
1.391
0
0.0658
0 Tiam1
T-cell lymphoma invasion and
U037282
NM_009384.1
AK015851










metastasis 1


Z00016029-1
3.3385
3.12741
0.21109
1.625
0
0.0663
0 Cyp51
cytochrome P450, family 51
U00S278
NM_020010.1
AF166266


Z00030278-1
4.067
3.8853
0.1817
1.519
0
0.0693
0 Hook1
hook homolog 1 (Drosophila)
U004S13
NM_030014.2
AF487912
MGI: 1925213


Z00012265-1
3.1609
2.97191
0.18899
1.545
0
0.0693
0 Acsl1
acyl-CoA synthetase long-
U042901
NM_007981.2
AK004897
MGI: 102797










chain family member 1


Z00023230-1
3.6661
3.4913
0.1748
1.495
0
0.0693
0 Chtf18
CTF18, chromosome
U137329
NM_145409.1
AK052673










transmission fidelity factor 18










homolog (S. cerevisiae)


Z00031573-1
2.8483
2.66801
0.18029
1.514
0
0.0706
0
RIKEN cDNA D630032B01
U014667

AK034200









D630032B01Rik
gene


Z00067701-1
4.0716
3.84881
0.22279
1.67
0
0.0804
0 Sqle
squalene epoxidase
U016276
NM_009270.2
AK177904
MGI: 109296


Z00005706-1
3.9622
3.7556
0.2066
1.609
0
0.0937
0 Dhcr7
7~dehydrocholesterol reductase
U008998
NM_007856.2
AF057368


Z00056193-1
3.595
3.442
0.153
1.422
0
0.0991
0 Recql
RecQ protein-like
U028003
NM_023042.1
AB017104
MGI: 103021


Z00024428-1
3.468
3.3202
0.1478
1.405
0.0001
0.1097
0 Ap1g2
adaptor protein complex AP-1,
U035570
NM_007455.1
AF068707
MGI: 1328307










gamma 2 subunit


Z00057500-1
3.9589
3.78041
0.17849
1.508
0.0001
0.1121
0 Ccdc5
coiled-coil domain containing 5
U038S86
NM_146089.1
AK076912
MGI: 2385076


Z00064946-1
3.122
2.94551
0.17649
1.501
0.0001
0.1121
0
mab58b05.y1
U207713










Soares_thymus_2NbMT Mus











musculus cDNA clone











IMAGE: 3974360


Z00030628-1
3.6109
3.45611
0.15479
1.428
0.0001
0.1194
0 Atr
ataxia telangiectasia and rad3
U010868
XM_147046.3
AF236887










related


Z00004187-1
3.4213
3.27891
0.14239
1.388
0.0001
0.1194
0 Mthfd11
methylenetetrahydrofolate
U043043
NM_172308.2
AK038579
MGI: 1924836










dehydrogenase (NADP+










dependent) 1-like


Z00039591-1
3.3066
3.1517
0.1549
1.428
0.0001
0.1265
0
Intronic in U011136


Z00023555-1
3.0385
2.89841
0.14009
1.38
0.0001
0.1309
0 Camkk2
calcium/calmodulin-dependent
U026700
NM_145358.1
AF453383










protein kinase kinase 2, beta


Z00028093-1
3.6434
3.4986
0.1448
1.395
0.0001
0.1325
0
RIKEN cDNA 2810442I21
U041127
XM_488587.1
AK013290









2810442I21Rik
gene


Z00048288-1
4.3701
4.15621
0.21389
1.636
0.0001
0.1442
0 Fdps
farnesyl diphosphate synthetase
U024268
NM_134469.2
AF309508
MGI: 104888


Z00023083-1
3.3917
3.25831
0.13339
1.359
0.0002
0.1607
0 Cep2
centrosomal protein 2
U002712
XM
AK033281
MGI: 108084












358344.2


Z00015315-1
3.1639
3.03671
0.12719
1.34
0.0002
0.1655
0
Intronic in U010432


Z00036599-1
3.7987
3.6391
0.1596
1.444
0.0002
0.1801
0 Dhfr
dihydrofolate reductase
U0433S7
NM
AK018462












010049.2


Z00065590-1
3.3529
3.2205
0.1324
1.356
0.0002
0.1801
0
BP760469 mouse (C57BL/6)
U289533










pancreatic islet library clone










mib34038


Z00049973-1
3.2054
3.0435
0.1619
1.451
0.0002
0.1861
0 Aqp4
aquaporin 4
U038230
NM
AF469168












009700.1


Z00032284-1
2.7959
2.67641
0.11949
1.316
0.0002
0.189
0
RIKEN cDNA 9030223M17
U029345

AK197597









9030223M17Rik
gene


Z00058906-1
2.7194
2.58591
0.13349
1.359
0.0003
0.2048
0 Cxcl13
chemokine (C—X—C motif)
U00S820
NM_018866.1
AF030636
MGI: 1888499










ligand 13


Z00039910-1
3.1177
2.9447
0.173
1.489
0.0003
0.2216
0
GTPase, IMAP family member
U006828
NM_008376.3
AB126961
MGI: 109368









Gimap5, Gimap1


Z00017899-1
3.5261
3.34581
0.18029
1.514
0.0003
0.2387
0 Tipin
timeless interacting protein
U010614
NM_025372.1
AK003451


Z00009873-1
3.9996
3.83071
0.16889
1.475
0.0004
0.2387
0 Chaf1a
chromatin assembly factor 1,
U018124
NM_013733.2
AJ132771
MGI: 1351331










subunit A (p150)


Z00022812-1
3.1271
3.00071
0.12639
1.337
0.0004
0.2387
0 Rgn
regucalcin
U019745
NM_009060.1
BC012710
MGI: 108024


Z00023858-1
3.4641
3.3326
0.1315
1.353
0.0004
0.2387
0 Gstm2
glutathione S-transferase, mu 2
U024511
NM_008183.2
AK002845
MGI: 95861


Z00063291-1
3.5687
3.43
0.1387
1.376
0.0004
0.2387
0
XS0248 Sanger Institute Gene
U232236

BC023805










Trap Library pGT0lxf Mus











musculus cDNA



Z00034074-1
4.2369
4.0658
0.1711
1.482
0.0003
0.2387
0
Intronic in U032497


Z00064826-1
3.5627
3.41801
0.14469
1.395
0.0004
0.2387
0
Intronic in U137329


Z00036331-1
3.0988
2.8995
0.1993
1.582
0.0004
0.2407
0 Lss
lanosterol synthase
U011679
NM_146006.1
AK014742
MGI: 1336155


Z00002113-1
3.4768
3.34341
0.13339
1.359
0.0004
0.2407
0
RIKEN cDNA 5730467H21
U026415
NM_175270.2
AK019966









5730467H21Rik
gene


Z00039674-1
3.8528
3.66551
0.18729
1.539
0.0004
0.2407
0 Ccdc5
coiled-coil domain containing 5
U038S86
NM_146089.1
AK076912
MGI: 2385076


Z00027757-1
2.8217
2.70851
0.11319
1.297
0.0004
0.2416
0 Ccl5
chemokine (C-C motif) ligand 5
U033194
NM_013653.1
AF065944
MGI: 98262


Z00025217-1
3.7874
3.6329
0.1545
1.427
0.0004
0.2461
0 Gstm1, Gstm3
glutathione S-transferase, mu 1
U024510
NM_010358.2
BC003822
MGI: 95860


Z00017140-1
3.6109
3.4684
0.1425
1.388
0.0005
0.2551
0 Slco4a1
solute carrier organic anion
U002955
NM_148933.1
AK033598
MGI: 1351866










transporter family, member 4a1


Z00011792-1
3.6164
3.44641
0.16999
1.479
0.0004
0.2551
0

Mus musculus cDNA,

U032917

AK029346










clone: Y2G0138J04,










strand: unspecified.


Z00030949-1
2.6224
2.50421
0.11819
1.312
0.0005
0.2566
0
PHD finger protein 1
U017715
NM_009343.1
AB011550
MGI: 109596









Phf1, Kifc5a, Kifc1


Z00012481-1
3.2295
3.07921
0.15029
1.413
0.0005
0.2784
0 Hells
helicase, lymphoid specific
U043725
NM_008234.2
AF155210
MGI: 106209


Z00000572-1
3.939
3.7796
0.1594
1.443
0.0006
0.2903
0 Hcfc1
host cell factor C1
U039463
NM_008224.2
AJ627036
MGI: 105942


Z00050996-1
3.5225
3.3676
0.1549
1.428
0.0006
0.3018
0 Nr1i3
nuclear receptor subfamily 1,
U022046

AK012264
MGI: 1346307










group I, member 3


Z00056657-1
4.1221
3.94051
0.18159
1.519
0.0006
0.3018
0 Kpnb1
karyopherin (importin) beta 1
U033336
NM_008379.2
AK077709
MGI: 107532


Z00002447-1
2.7774
2.6483
0.1291
1.346
0.0006
0.3018
0 Pcdh21
protocadherin 21
U035424
NM_130878.2
AF426393
MGI: 2157782


Z00062882-1
3.8845
3.7279
0.1566
1.434
0.0006
0.3076
0
RIKEN cDNA 8430438L13
U042912
NM_026636.1
AK003366









8430438L13Rik,
gene









5430437P03Rik


Z00067400-1
2.7336
2.62171
0.11189
1.293
0.0007
0.3114
0


Z00059675-1
3.4371
3.28581
0.15129
1.416
0.0007
0.3319
0

U056194


Z00019258-1
3.428
3.27631
0.15169
1.418
0.0007
0.3326
0 Rpa2
replication protein A2
U004904
NM_011284.2
AK011530
MGI: 1339939


Z00010627-1
3.316
3.19221
0.12379
1.329
0.0007
0.3326
0 Mlf1ip
myeloid leukemia factor 1
U009317
NM_027973.2
AK006479










interacting protein


Z00000815-1
3.3002
3.17361
0.12659
1.338
0.0008
0.3326
0 Ttc7
tetratricopeptide repeat domain 7
U018321
NM_028639.1
AK004107
MGI: 1920999


Z00035861-1
3.0981
2.9858
0.1123
1.295
0.0008
0.3335
0 Fnbp4
formin binding protein 4
U002103
NM_018828.1
AK012167
MGI: 1860513


Z00024246-1
4.3101
4.147
0.1631
1.455
0.0008
0.3335
0 Kcne3
potassium voltage-gated
U008447
NM_020574.3
AF076532
MGI: 1891124










channel, Isk-related subfamily,










gene 3


Z00064273-1
3.4067
3.27701
0.12969
1.348
0.0008
0.3407
0 Rpl12
ribosomal protein L12
U093913
NM_009076.1
AK002973


Z00026347-1
3.1056
2.9928
0.1128
1.296
0.0008
0.341
0 Gpr133
G protein-coupled receptor 133
U006227
XM_485685.1
AK041279


Z00018506-1
3.924
3.77061
0.15339
1.423
0.0009
0.3564
0
Intronic in U023392


Z00038722-1
2.9385
2.8286
0.1099
1.287
0.0009
0.3623
0
RIKEN cDNA 9630044O09
U113806
NM_198014.2
AK036190









9630044O09Rik
gene


Z00036329-1
3.4772
3.3526
0.1246
1.332
0.0009
0.3719
0 Mfn2
mitofusin 2
U025777
NM
AB048831
MGI: 2442230












133201.1


Z00049396-1
3.0982
2.92241
0.17579
1.498
0.001
0.3727
0 Lmcd1
LIM and cysteine-rich domains 1
U007256
NM_144799.1
AK075847
MGI: 1353635


Z00014716-1
3.8405
3.6959
0.1446
1.395
0.001
0.3727
0

Mus musculus cDNA,

U023541

AK009222










clone: Y0G0107H23,










strand: unspecified.


Z00036621-1
2.7404
2.6376
0.1028
1.267
0.001
0.3727
0
RIKEN cDNA 4930467M19
U042213

AK014551









4930467M19Rik,
gene









4632404N19Rik


Z00062670~1
3.6261
3.4985
0.1276
1.341
0.001
0.3796
0 Slc7a4
solute carrier family 7 (cationic
U036847
NM
AK030586










amino acid transporter, y+

144852.1










system), member 4


Z00023B94~1
3.9846
3.8282
0.1564
1.433
0.001
0.3797
0 Brf1
BRF1 homolog, subunit of
U034398
NM_028193.1
AK010890
MGI: 1919558










RNA polymerase III










transcription initiation factor










IIIB


Z00062561-1
2.7113
2.58971
0.12159
1.323
0.001
0.3797
0
RIKEN cDNA C230035I16
U034596

AK009557









C230035I16Rik
gene


Z00066763-1
2.6113
2.50001
0.11129
1.292
0.001
0.3797
0

U218954


Z00034843-1
3.6621
3.53081
0.13129
1.352
0.0011
0.3801
0 Rpa1

Mus musculus replication

U033076
NM
AK014298
MGI: 1915525










protein A1 (Rpa1), mRNA

026653.1


Z00043376-1
3.6814
3.5143
0.1671
1.469
0.0011
0.3801
0 Avpi1
arginine vasopressin-induced 1
U039048
NM_027106.1
AK009243
MGI: 1916784


Z00006465-1
3.911
3.76651
0.14449
1.394
0.0011
0.3808
0 Rdbp

Mus musculus RD RNA-

U017872
NM
AK011663
MGI: 102744










binding protein (Rdbp), mRNA

138580.1


Z00003096~1
4.0883
3.9331
0.1552
1.429
0.0011
0.3808
0 Hnrpu
heterogeneous nuclear
U022128
NM_016805.1
AF073992
MGI: 1858195










ribonucleoprotein U


Z000B7941~1
3.374
3.2548
0.1192
1.315
0.0011
0.3808
0


Z00001219~1
3.4929
3.3157
0.1772
1.503
0.0012
0.3834
0 Sqle
squalene epoxidase
U016276
NM_009270.2
AK177904
MGI: 109296


Z00020602~1
3.3776
3.2519
0.1257
1.335
0.0012
0.3834
0 Sec15l1
SEC15-like 1 (S. cerevisiae)
U019415
NM_175353.1
AK076455
MGI: 1351611


Z00024047~1
2.8009
2.5887
0.2122
1.63
0.0011
0.3834
0 Apoc3
apolipoprotein C~III
U030812
NM_023114.2
AK002908


Z00062387~1
2.9495
2.8299
0.1196
1.317
0.0012
0.3834
0

Mus musculus 16 days neonate

U031734

BC057104










thymus cDNA, RIKEN full-










length enriched library


Z00039366~1
3.7831
3.6129
0.1702
1.479
0.0012
0.3834
0 BC002236
cDNA sequence BC002236
U032530
NM_024475.3
AK043952


Z00034898~1
3.3575
3.17891
0.17859
1.508
0.0011
0.3834
0 Tcf19
transcription factor 19
U037751
NM_025674.1
AK004231


Z00002153~1
3.2493
3.11301
0.13629
1.368
0.0012
0.3866
0
RIKEN cDNA G430022H21
U024610
NM_201638.1
AK083169
MGI: 2442926









G430022H21Rik
gene


Z00025366~1
3.7562
3.6189
0.1373
1.371
0.0012
0.3878
0
ui56b02.x1 Sugano mouse liver
U275872










mlia Mus musculus cDNA










clone IMAGE: 1886379


Z00023298~1
2.6591
2.5147
0.1444
1.394
0.0012
0.3889
0 Hemgn
hemogen
U025033
NM_053149.1
AF269248
MGI: 2136910


Z00070449~1
2.9073
2.797
0.1103
1.289
0.0012
0.3889
0 Recql
RecQ protein-like
U028003
NM_023042.1
AB017104
MGI: 103021


Z00006863-1
3.8254
3.6683
0.1571
1.435
0.0013
0.3926
0
RIKEN cDNA 1500001M20
U027747

AK005100









1500001M20Rik
gene


Z00036075-1
3.1455
3.0336
0.1119
1.293
0.0013
0.3926
0
Intronic in U008963


Z00054675-1
2.8435
2.6398
0.2037
1.598
0.0014
0.4076
0 AW146020

Mus musculus expressed

U007062
NM
AK038369










sequence AW146020

177884.2










(AW146020), mRNA


Z00050086-1
3.3613
3.2424
0.1189
1.314
0.0014
0.4286
0
RIKEN cDNA 2010001J22
U041187
XM_128172.5
AK008010









2010001J22Rik
gene


Z00054857-1
4.4238
4.25711
0.16669
1.467
0.0015
0.4327
0 Mcm5
minichromosome maintenance
U009508
NM
AK033196
MGI: 103197










deficient 5, cell division cycle

008566.1










46 (S. cerevisiae)


Z00019795-1
3.1703
3.0629
0.1074
1.28
0.0015
0.4327
0 Pfkm
phosphofructokinase, muscle
U016618
NM_021514.2
AF249894
MGI:














97548


Z00029603-1
2.6165
2.50871
0.10779
1.281
0.0015
0.4327
0

Mus musculus 13 days embryo

U022385

AY616022










heart cDNA, RIKEN full-










length enriched library


Z00015896-1
3.4869
3.34
0.1469
1.402
0.0015
0.4327
0 Recql4

Mus musculus RecQ protein-

U036357
NM_058214.1
AB039882










like 4 (Recql4), mRNA


Z00031273-1
3.6446
3.51861
0.12599
1.336
0.0016
0.4486
0
RIKEN cDNA C330011F01
U225671

AK005690









C330011F01Rik
gene


Z00053637-1
3.747
3.59101
0.15599
1.432
0.0016
0.4506
0
RIKEN cDNA 4632417N05
U030306
NM_028725.1
AK014586









4632417N05Rik
gene


Z00032980-1
2.8049
2.7062
0.0987
1.255
0.0016
0.4523
0 Hist1h4c
histone 1, H4c
U050738
NM_175655.1


Z00025780-1
3.7313
3.5993
0.132
1.355
0.0017
0.4738
0 Smc2l1
SMC2 structural maintenance
U004323
NM_008017.2
AJ534939
MGI:










of chromosomes 2-like 1



106067










(yeast)


Z00043064-1
3.4323
3.316
0.1163
1.307
0.0017
0.4738
0 BC010981
cDNA sequence BC010981
U254183

AK191286


Z00034237-1
2.656
2.541
0.115
1.303
0.0018
0.4905
0 Sall1
sal-like 1 (Drosophila)
U030082
NM_021390.2
AB051409
MGI: 1889585


Z00060641-1
4.1059
3.9343
0.1716
1.484
0.0019
0.5044
0 Fdps
faraesyl diphosphate synthetase
U024268
NM_134469.2
AF309508
MGI:














104888


Z00050031-1
2.9708
2.8674
0.1034
1.268
0.002
0.5135
0 Mkiaa0231

Mus musculus mRNA for

U064706
XM_485656.1
AK054249










mKIAA0231 protein.


Z00005441-1
2.9095
2.7676
0.1419
1.386
0.0021
0.5336
0 Mertk
c~iner proto-oncogene tyrosine
U002446
NM_008587.1
AK029009
MGI:










kinase



96965


Z00006570-1
3.247
3.13781
0.10919
1.285
0.0021
0.535
0
RIKEN cDNA 3110082I17
U026881
NM_028469.1
AK014271









3110082I17Rik
gene


Z00020879-1
2.9171
2.815
0.1021
1.265
0.0022
0.5468
0 Rad23b
RAD23b homolog (S. cerevisiae)
U004351
NM_009011.2
AK018710
MGI: 105128


Z00034083-1
2.9308
2.8314
0.0994
1.257
0.0022
0.5562
0
RIKEN cDNA 1110025F24
U036746
NM_026393.1
AK012340









1110025F24Rik
gene


Z00017691-1
4.1341
3.961
0.1731
1.489
0.0023
0.5754
0 Gmnn
geroinin
U034626
NM_020567.1
AF068780
MGI: 1927344


Z00036242-1
3.4062
3.2321
0.1741
1.493
0.0024
0.598
0 Sfrs1

Mus musculus splicing factor,

U013154
NM_173374.2
AK004255










arginine/serine-rich 1










(ASF/SF2) (Sfrs1), mRNA


Z00038315-1
3.206
3.0963
0.1097
1.287
0.0025
0.6264
0
RIKEN cDNA 1700011J10
U001915
NM_183265.1
AK005870









1700011J10Rik
gene


Z00020771-1
3.2682
3.1468
0.1214
1.322
0.0026
0.6264
0
RIKEN cDNA 1110054H05
U013686
XM_126489.6
AK004247









1110054H05Rik
gene


Z00031187-1
3.65
3.53051
0.11949
1.316
0.0026
0.6303
0 Xab1
XPA binding protein 1
U005445
NM_133756.2
AK010393


Z00034358-1
3.0739
2.97001
0.10389
1.27
0.0027
0.6413
0 Cdc7
cell division cycle 7 (S. cerevisiae)
U005923
NM_009863.1
ABO18574
MGI: 1309511


Z00025292-1
3.1178
2.86541
0.25239
1.788
0.0027
0.6414
1 Ghrl
ghrelin
U027740
NM_021488.3
AB035701
MGI: 1930008


Z00066131-1
2.7464
2.64151
0.10489
1.273
0.0028
0.6526
0


Z00025383-1
3.3237
3.0869
0.2368
1.725
0.0028
0.6533
0 Prss12
protease, serine, 12
U003815
NM_008939.1
AK186311
MGI: 1100881










neurotrypsin (motopsin)


Z00036054-1
3.5299
3.3617
0.1682
1.472
0.0028
0.6575
0 Wdr36
WD repeat domain 36
U043655
NM_144863.2
AK040339
MGI: 1917819


Z00054215-1
3.3503
3.22221
0.12809
1.343
0.0029
0.6588
0 Xrcc5
X-ray repair complementing
U000424
NM_009533.1
AF166486
MGI: 104517










defective repair in Chinese










hamster cells 5


Z00061979-1
3.71
3.5885
0.1215
1.322
0.0029
0.6588
0 D2ertd217e
DNA segment, Chr 2, ERATO
U022401

AK004380










Doi 217, expressed


Z00025074-1
2.6688
2.57161
0.09719
1.25
0.003
0.6907
0 Nmb
neuromedin B
U028773
NM_026523.1
AK011929


Z00013829-1
3.6609
3.5399
0.121
1.321
0.0031
0.6926
0
RIKEN cDNA 2310057G13
U011383
XM_125542.3
AK178913









2310057G13Rik
gene


Z00056422-1
3.6702
3.54721
0.12299
1.327
0.0031
0.6926
0 Tmem45b
transmembrane protein 45b
U030649
NM_144936.1
AK079262


Z00034070-1
4.1723
4.02891
0.14339
1.391
0.0031
0.6926
0 Mrps18b
mitochondrial ribosomal
U037761
NM_025878.1
AB049954










protein S18B


Z00045608-1
3.8746
3.74481
0.12979
1.348
0.0033
0.7043
0 Mrps10
mitochondrial ribosomal
U018057
NM_183086.1
AK004151
MGI: 1928139










protein S10


Z00017027-1
2.8913
2.7571
0.1342
1.362
0.0033
0.7043
0 Dlat
dihydrolipoamide S-
U030844
NM_145614.2
AK032124
MGI: 2385311










acetyltransferase (E2










component of pyruvate










dehydrogenase complex)


Z00015249-1
3.1099
2.9461
0.1638
1.458
0.0032
0.7043
0

U078163


Z00026870-1
3.3999
3.288
0.1119
1.293
0.0033
0.7044
0 Mt3
metallothionein 3
U009655
NM_013603.1
AK049824
MGI: 97173


Z00046611-1
3.9962
3.8516
0.1446
1.395
0.0034
0.7116
0
RIKEN cDNA 0610010E21
U028378

AK203309









0610010E21Rik
gene


Z00039676-1
3.4057
3.2752
0.1305
1.35
0.0035
0.723
0
RIKEN cDNA 1300002K09
U004276
NM_028788.1
AK004855









1300002K09Rik
gene


Z00050742-1
3.4016
3.2835
0.1181
1.312
0.0035
0.723
0
RIKEN cDNA 1110020L19
U039454
NM
AK003871









1110020L19Rik
gene

028633.2


Z00032708-1
3.9885
3.8265
0.162
1.452
0.0035
0.723
0

Mus musculus clone

U068059

AK031387










NIA: C0336D03 unknown










mRNA.


Z00009113-1
3.4489
3.3383
0.1106
1.29
0.0035
0.723
0


Z00025587-1
3.7399
3.6003
0.1396
1.379
0.0036
0.7364
0 Pitx2
paired-like homeodomain
U003838
NM_011098.2
AB006320
MGI: 109340










transcription factor 2


Z00023563-1
2.7134
2.57941
0.13399
1.361
0.0036
0.7364
0 Lgals12
lectin, galactose binding,
U038684
NM
AF223223
MGI: 1929094










soluble 12

019516.1


Z00017811-1
2.9733
2.8756
0.0977
1.252
0.0039
0.7736
0 Nedd10
neural precursor cell expressed,
U004397
XM_143826.6
AK012848










developmentally down-










regulated gene 10


Z00035642-1
3.6314
3.5192
0.1122
1.294
0.0039
0.7736
0 Mrpl37
mitochondrial ribosomal
U025335
NM_025500.1
AK003811
MGI: 1926268










protein L37


Z00034233-1
3.6262
3.48441
0.14179
1.386
0.0039
0.7784
0 LOC433702

Mus musculus nuclear cap

U004284
XM_485377.1
AK196431










binding protein subunit 1,










80 kDa, mRNA


Z00006550-1
4.1173
3.9833
0.134
1.361
0.004
0.7784
0 Lsm2

Mus musculus LSM2 homolog,

U017880
NM_030597.2
AF204146
MGI: 90676










U6 small nuclear RNA










associated


Z00017215-1
3.0303
2.916
0.1143
1.301
0.004
0.7784
0 Osbpl3
oxysterol binding protein-like 3
U027286
NM_027881.1
AK004768
MGI: 1918970


Z00021872-1
2.6811
2.5824
0.0987
1.255
0.004
0.7784
0 AI894139
expressed sequence AI894139
U140030
NM_178898.2
AK039184


Z00018788-1
3.1009
3.0015
0.0994
1.257
0.0041
0.7806
0
RIKEN cDNA 4930413O22
U042145
XM_129366.5
AK013065









4930413O22Rik,
gene









BC055915


Z00042759-1
2.8122
2.72011
0.09209
1.236
0.0041
0.7877
0

U062489


Z00032107-1
3.8316
3.69321
0.13839
1.375
0.0042
0.7905
0 Hmgb3
high mobility group box 3
U019917
NM_008253.2
AF022465
MGI: 1098219


Z00014249-1
2.9086
2.81341
0.09519
1.245
0.0042
0.7905
0 Csad
cysteine sulfinic acid
U036690
NM_144942.1
AK005015










decarboxylase


Z00021203-1
3.1712
3.03901
0.13219
1.355
0.0043
0.7925
0 Arf2
ADP-ribosylation factor 2
U013426
NM_007477.2
AK031259


Z00041812-1
3.8477
3.6906
0.1571
1.435
0.0042
0.7925
0 Tmed1
transmembrane emp24 domain
U030583
NM_010744.1
AK212382
MGI: 106201










containing 1


Z00009656-1
3.2553
3.1506
0.1047
1.272
0.0043
0.7925
0 Fancd2
Fanconi anemia,
U042764
XM_132796.5
AK019136
MGI: 2448480










complementation group D2


Z00028025-1
4.5614
4.39981
0.16159
1.45
0.0042
0.7925
0 Trp53i5
Trp53 inducible protein 5
U099396
NM_178381.2
AK017334
MGI: 1918595


Z00029849-1
4.1635
4.02
0.1435
1.391
0.0043
0.7926
0

Mus musculus 0 day neonate

U032598

AK083953










lung cDNA, RIKEN full-length










enriched library


Z00044031-1
3.2313
3.1115
0.1198
1.317
0.0043
0.7926
0
mab84f09.x1
U106279

BC029762










NCI_CGAP_BC3 Mus











musculus cDNA clone











IMAGE: 3977224


Z00006758-1
3.7
3.584
0.116
1.306
0.0044
0.7934
0 Dgat1
diacylglycerol O-
U036345
NM_010046.2
AB057816
MGI: 1333825










acyltransferase 1


Z00008585-1
3.8229
3.7005
0.1224
1.325
0.0046
0.8062
0 BC034507
cDNA sequence BC034507
U005268
XM_131888.5
AK037413


Z00054734-1
3.1809
3.04341
0.13749
1.372
0.0045
0.8062
0 Lig1
ligase I, DNA, ATP-dependent
U007688
NM_010715.1
AK053906
MGI: 101789


Z00034668-1
4.0857
3.95231
0.13339
1.359
0.0046
0.8062
0 Mcm3
minichromosome maintenance
U021161
NM_008563.1
AK088142
MGI: 101845










deficient 3 (S. cerevisiae)


Z00052909-1
2.9509
2.85761
0.09329
1.239
0.0047
0.8062
0 Pold3
polymerase (DNA-directed),
U028908
NM_133692.1
AF294329
MGI: 1915217










delta 3, accessory subunit


Z00005912-1
4.2487
4.1112
0.1375
1.372
0.0047
0.8062
0
RIKEN cDNA 2410015N17
U029285
NM_023203.1
AF110764









2410015N17Rik
gene


Z00010767-1
3.3725
3.25451
0.11799
1.312
0.0047
0.8062
0
RIKEN cDNA 9430038I01
U029396
XM_133909.4
AK020460









9430038I01Rik
gene


Z00025886~1
2.9947
2.87721
0.11749
1.31
0.0046
0.8062
0
RIKEN cDNA 2410016F19
U031711
NM_026113.2
AK005261









2410016F19Rik
gene


Z00055727~1
3.3595
3.2546
0.1049
1.273
0.0046
0.8062
0 Tfb2m
transcription factor B2,
U033926
NM_008249.1
AK090106
MGI: 107937










mitochondrial


Z00012324~1
3.073
2.95581
0.11719
1.309
0.0047
0.8062
0 Ofd1
oral-facial-digital syndrome 1
U039862
NM_177429.2
AJ278702
MGI: 1350328










gene homolog (human)


Z00035961~1
3.5861
3.4703
0.1158
1.305
0.0045
0.8062
0 Haghl
hydroxyacylglutathione
U141598
NM_026897.1
AK005274










hydrolase~like


Z00000601~1
3.2668
3.11261
0.15419
1.426
0.0057
0.8199
0 Ppp1r7
protein phosphatase 1,
U000629
NM_023200.1
AF222867
MGI: 1913635










regulatory (inhibitor) subunit 7


Z00012235~1
3.0422
2.93391
0.10829
1.283
0.0057
0.8199
0 Hars2
histidyl tRNA synthetase 2
U002575
NM_025314.1
AK002246


Z00049929~1
3.337
3.1988
0.1382
1.374
0.0051
0.8199
0 D3ertd250e
DNA segment, Chr 3, ERATO
U003942
NM_025714.1
AK014630










Doi 250, expressed


Z00016228~1
3.8365
3.7148
0.1217
1.323
0.0055
0.8199
0 Ung
uracil~DNA glycosylase
U006024
NM_011677.1
BC004037
MGI: 109352


Z00054613~1
2.9499
2.85801
0.09189
1.235
0.0055
0.8199
0 Kntc1
kinetochore associated 1
U006174
XM_132322.5
AK084529


Z00001282~1
3.5925
3.48081
0.11169
1.293
0.0053
0.8199
0
RIKEN cDNA 0610039J04
U009695

AK010304
MGI: 1913333









0610039J04Rik
gene


Z00036197~1
3.9257
3.7958
0.1299
1.348
0.0054
0.8199
0 Slc37a4
solute carrier family 37
U010386
NM
AF080469
MGI: 1316650










(glycerol-6-phosphate

008063.2










transporter), member 4


Z00024740~1
2.7204
2.6277
0.0927
1.237
0.0054
0.8199
0 Nola2
nucleolar protein family A,
U012572
NM_026631.1
AK007340
MGI: 1098547










member 2


Z00035797~1
2.6587
2.53841
0.12029
1.319
0.0051
0.8199
0
RIKEN cDNA 2010305C02
U012948
NM
AK008522









2010305C02Rik
gene

027249.2


Z00001116~1
4.661
4.50291
0.15809
1.439
0.0056
0.8199
0 Mrpl12
mitochondrial ribosomal
U013663
NM_027204.2
AK002757
MGI: 1926273










protein L12


Z00003204~1
3.8057
3.68481
0.12089
1.32
0.0057
0.8199
0 Pkmyt1
protein kinase, membrane
U017619
NM
AF175892
MGI: 2137630










associated tyrosine/threonine 1

023058.1


Z00030183~1
4.0348
3.90681
0.12799
1.342
0.005
0.8199
0
RIKEN cDNA 2610019E17
U017642

AK011460









2610019E17Rik
gene


Z00055556-1
2.6312
2.5366
0.0946
1.243
0.0057
0.8199
0 Elovl3
elongation of very long chain
U019519
NM
AK004901
MGI: 1195976










fatty acids (FEN1/Elo2,

007703.1










SUR4/Elo3, yeast)-like 3


Z00043566~1
2.6428
2.55241
0.09039
1.231
0.0053
0.8199
0 BC023488
cDNA sequence BC023488
U020398
NM_146238.2
AK037580


Z00045181~1
3.4876
3.377
0.1106
1.29
0.0054
0.8199
0 Whrn
whirlin
U025152
NM
AK004110
MGI: 2682003












001008791.]


Z00001009~1
3.7153
3.5599
0.1554
1.43
0.005
0.8199
0 Slbp
stem-loop binding protein
U026089
NM_009193.1
AK016826


Z00059595~1
3.5958
3.4385
0.1573
1.436
0.0056
0.8199
0 Rfc3
replication factor C (activator
U027003
XM
AKO13095
MGI: 1916513










1) 3

132528.4


Z00019067~1
3.5842
3.4665
0.1177
1.311
0.0057
0.8199
0 Ezh2
enhancer of zeste homolog 2
U027262
NM_007971.1
AK086532
MGI: 107940










(Drosophila)


Z00035468~1
3.0019
2.9082
0.0937
1.24
0.0049
0.8199
0 Tmem41b
transmembrane protein 41B
U029116.2
NM_153525.2
AK005327
MGI: 1289225


Z00046246~1
2.7895
2.6967
0.0928
1.238
0.005
0.8199
0 Dpep3
dipeptidase 3
U030192
NM_027960.1
AF488553
MGI: 1919104


Z00035093~1
3.4952
3.3844
0.1108
1.29
0.0052
0.8199
0 BC024806
cDNA sequence BC024806
U030664
NM_172291.1
AK054231


Z00016086~1
2.9733
2.87971
0.09359
1.24
0.0051
0.8199
0 Armc8
armadillo repeat containing 8
U031235
NM_028768.1
AK004793
MGI: 1921375


Z00013119~1
3.5511
3.41331
0.13779
1.373
0.0051
0.8199
0 Agpat3
1-acylglycerol-3-phosphate O-
U031971
NM_053014.2
AK008965
MGI: 1336186










acyltransferase 3


Z00052879~1
2.9742
2.88
0.0942
1.242
0.0051
0.8199
0
RIKEN cDNA 2810408A11
U032989
NM_027419.2
AKO13042









2810408A11Rik
gene


Z00044364~1
3.8689
3.7457
0.1232
1.328
0.005
0.8199
0
RIKEN cDNA 1810014L12
U033135
NM_133706.1
AK007497
MGI: 1916321









1810014L12Rik
gene


Z00054081~1
2.7054
2.58571
0.11969
1.317
0.0055
0.8199
0

Mus musculus RIKEN cDNA

U033257
NM_172534.1
AK044514









4932411E22Rik
4932411E22 gene










(4932411E22Rik), mRNA


Z00062676~1
2.993
2.88541
0.10759
1.281
0.0057
0.8199
0
RIKEN cDNA 1700119H24
U037000

AK088732









1700119H24Rik
gene


Z00056994~1
3.6092
3.5012
0.108
1.282
0.0057
0.8199
0
RIKEN cDNA 2610528E23
U037131
NM_025599.1
AK003195









2610528E23Rik
gene


Z00004916~1
3.5801
3.46831
0.11179
1.293
0.0054
0.8199
0 Akap8
A kinase (PRKA) anchor
U037662
NM_019774.2
AB028920
MGI: 1928488










protein 8


Z00035365~1
3.3726
3.27191
0.10069
1.26
0.0054
0.8199
0 Vars2l
valyl~tRNA synthetase 2~like
U037753
NM_175137.3
AK004481


Z00062745~1
3.1665
3.02661
0.13989
1.38
0.0055
0.8199
0
RIKEN cDNA 5133400G04
U038324
NM_027733.3
AK016341









5133400G04Rik
gene


Z00046876~1
2.6762
2.55711
0.11909
1.315
0.0053
0.8199
0
RIKEN cDNA 6230425F05
U038522
XM_129027.3
AK035879









6230425F05Rik
gene


Z00034930-1
3.4046
3.29961
0.10499
1.273
0.0055
0.8199
0 Xrcc1
X-ray repair complementing
U106963
NM_009532.2
AK046611
MGI: 99137










defective repair in Chinese










hamster cells 1


Z00026942-1
4.016
3.83911
0.17689
1.502
0.0053
0.8199
0 AI875142
expressed sequence AI875142
U228381

AK047652


Z00068617-1
3.1088
2.9495
0.1593
1.443
0.0055
0.8199
0


Z00008345-1
2.8323
2.7409
0.0914
1.234
0.0058
0.825
0 Ddb2
damage specific DNA binding
U023020
NM
AK011756
MGI: 1355314










protein 2

028119.2


Z00030400-1
3.0703
2.95861
0.11169
1.293
0.0062
0.8288
0 Ssx2ip
synovial sarcoma, X breakpoint
U003960
NM_138744.1
AF532969
MGI: 2139150










2 interacting protein


Z00030422-1
4.3936
4.2511
0.1425
1.388
0.0059
0.8288
0
SMT3 suppressor of mif two 3
U011688
NM_019803.2
AF063847
MGI: 1336201









Sumo3, Ube2g2
homolog 3 (yeast)


Z0005510S-1
3.9072
3.7822
0.125
1.333
0.0061
0.8288
0 Spag5
sperm associated antigen 5
U013016
NM_017407.1
AF420307
MGI: 1927470


Z00031620-1
3.7034
3.57361
0.12979
1.348
0.0059
0.8288
0
RIKEN cDNA 1810043H04
U013650

AK007756









1810043H04Rik
gene


Z00009362-1
4.2892
4.1547
0.1345
1.363
0.0062
0.8288
0
RIKEN cDNA 2900070E19
U014335
NM_028419.1
AK009158









2900070E19Rik
gene


Z00006523-1
3.2753
3.1601
0.1152
1.303
0.0061
0.8288
0 Uhrf1
ubiquitin-like, containing PHD
U018130
NM_010931.2
AF274046
MGI: 1338889










and RING finger domains, 1


Z00018156-1
3.601
3.40161
0.19939
1.582
0.0062
0.8288
0 Pxmp2
peroxisomal membrane protein 2
U026555
NM_008993.1
AF309644
MGI: 107487


Z00046302-1
4.2686
4.1341
0.1345
1.363
0.0059
0.8288
0 Polr2l
polymerase (RNA) II (DNA
U029463

AK011021










directed) polypeptide L


Z00022916-1
2.9684
2.87291
0.09549
1.245
0.0061
0.8288
0 Mycbpap
Mycbp associated protein
U033282
NM_170671.1
AK029929
MGI: 2388726


Z00060795-1
2.6638
2.5717
0.0921
1.236
0.006
0.8288
0 Ssty1
spermiogenesis specific
U219803
NM_009220.1

MGI: 1314663










transcript on the Y 1


Z00067140-1
3.1998
3.1002
0.0996
1.257
0.0059
0.8288
0


Z00006346-1
3.2085
3.1119
0.0966
1.249
0.0063
0.8332
0
RIKEN cDNA D630041K24
U014215
XM_126935.5
AB093278









D630041K24Rik
gene


Z00061896-1
2.8311
2.6843
0.1468
1.402
0.0063
0.8332
0 Smpx
small muscle protein, X-linked
U020356
NM_025357.1
AF364070
MGI: 1913356


Z00056796-1
3.7835
3.64611
0.13739
1.372
0.0063
0.8332
0 Cenph
centromere autoantigen H
U060580
NM_021886.1
ABO17634
MGI: 1349448


Z00014472-1
3.5589
3.45391
0.10499
1.273
0.0064
0.8415
0 Tpx2
TPX2, microtubule-associated
U002656
NM_028109.2
AK011311
MGI: 1919369










protein homolog (Xenopus











laevis)



Z00026674-1
2.9675
2.86931
0.09819
1.253
0.0064
0.8415
0 Itgb1
integrin beta 1 (fibronectin
U200362

AK014611
MGI: 96610










receptor beta)


Z00017774-1
3.8265
3.67781
0.14869
1.408
0.0065
0.8447
0 Ssrp1
structure specific recognition
U002003
NM_182990.1
AK178307
MGI: 107912










protein 1


Z00058967-1
4.1707
4.0382
0.1325
1.356
0.0066
0.8467
0 Gfm1
G elongation factor 1
U003306
NM_138591.1
AF315511
MGI: 107339


Z00029299-1
2.6519
2.562
0.0899
1.229
0.0065
0.8467
0

Mus musculus 10 days neonate

U022258

AK215348










cerebellum cDNA, RIKEN










full-length enriched library


Z00015583-1
3.0201
2.92781
0.09229
1.236
0.0065
0.8467
0 Mmab
methylmalonic aciduria
U026602
NM_029956.2
AK020286
MGI: 1924947










(cobalamin deficiency) type B










homolog (human)


Z00040915-1
3.486
3.378
0.108
1.282
0.0065
0.8467
0 Zbtb12
zinc finger and BTB domain
U053340
NM_198886.2
BC020447
MGI: 88133










containing 12


Z00024007-1
4.5472
4.395
0.1522
1.419
0.0067
0.8527
0 Cftr
cystic fibrosis transmembrane
U006570
NM_021050.1
AK033621
MGI: 88388










conductance regulator homolog


Z00016149-1
3.6473
3.52911
0.11819
1.312
0.0067
0.8527
0
RIKEN cDNA 0610007P22
U017669
NM_026676.1
AK002309









0610007P22Rik
gene


Z00001466-1
3.9786
3.8496
0.129
1.345
0.0067
0.8527
0 Cox10

Mus musculus COX10

U032918
NM_178379.2
AKO10385










homolog, cytochrome c oxidase










assembly protein, heme A


Z00064343-1
2.7387
2.6265
0.1122
1.294
0.0067
0.8527
0
RIKEN cDNA 9130214H05
U034615
NM_177016.2
AK033669









9130214H05Rik
gene


Z00066240-1
2.8409
2.71181
0.12909
1.346
0.0067
0.8527
0
AGENCOURT_13691856
U122083










NIH_MGC_176 Mus musculus










cDNA clone










IMAGE: 30305047


Z00041567-1
2.7385
2.6531
0.0854
1.217
0.0069
0.8601
0

Mus musculus mRNA similar

U000177

AK048005










to lipoyltransferase (cDNA










clone MGC: 28431)


Z00030222-1
4.2966
4.16431
0.13229
1.356
0.0069
0.8601
0
RIKEN cDNA 2810008D09
U013585

AKO12687









2810008D09Rik
gene


Z00015622-1
3.3636
3.20881
0.15479
1.428
0.0071
0.8608
0 Cldn15
claudin 15
U006313
NM_021719.1
AF124427


Z00019446-1
4.0246
3.9016
0.123
1.327
0.007
0.8608
0 Dctn2
dynactin 2
U012144
NM_027151.1
AK009749
MGI: 107733


Z00055509-1
3.388
3.28841
0.09959
1.257
0.0071
0.8608
0 Rbm27
RNA binding motif protein 27
U018671
XM_128924.5
AK033739


Z00018230-1
3.4949
3.38921
0.10569
1.275
0.0071
0.8608
0 Emd
eroerin
U019953
NM_007927.1
AK180037


Z00043470-1
3.2806
3.178
0.1026
1.266
0.0069
0.8608
0
RIKEN cDNA 1700041B20
U023313
XM_485065.1
AK006667









1700041B20Rik
gene


Z00009971-1
3.9108
3.7891
0.1217
1.323
0.0069
0.8608
0
RIKEN cDNA 3300001M20
U023397
NM_175113.1
AK014359









3300001M20Rik
gene


Z00049063-1
3.0756
2.9427
0.1329
1.358
0.0071
0.8608
0 Usp43

Mus musculus ubiquitin

U032938
NM_173754.2
AK047339










specific protease 43 (Usp43),










mRNA


Z00038967-1
3.6826
3.5721
0.1105
1.289
0.0071
0.8608
0 Hrb
HIV-1 Rev binding protein
U064149

AK029917
MGI: 1333754


Z00064813-1
3.0151
2.90391
0.11119
1.291
0.0069
0.8608
0


Z00067946-1
3.6118
3.4147
0.1971
1.574
0.0072
0.865
0 LOC382611
PREDICTED: Mus musculus
U102263
XM










similar to farnesyl

487220.1










pyrophosphate synthase










(LOC382611)


Z00011558-1
2.934
2.8418
0.0922
1.236
0.0074
0.8766
0
RIKEN cDNA C130068N17
U001874
NM_177784.2
AK048518









C130068N17Rik
gene


Z00040192-1
3.8862
3.7675
0.1187
1.314
0.0075
0.8856
0
RIKEN cDNA 1700021K19
U036980
NM
AK003056









1700021K19Rik
gene

172615.1


Z00018767-1
3.3881
3.26671
0.12139
1.322
0.0075
0.8874
0 Orc61
origin recognition complex,
U009596
NM_019716.1
AF139659










subunit 6-like (S. cerevisiae)


Z00054981-1
3.2635
3.1637
0.0998
1.258
0.0076
0.8893
0 Nup43
nucleoporin 43
U011239
NM
AK011422
MGI: 1917162












145706.1


Z00070308-1
4.0856
3.9603
0.1253
1.334
0.0076
0.8893
0 Wdhd1
WD repeat and HMG-box
U035469
NM_172598.2
AK036390
MGI: 2443514










DNA binding protein 1


Z00067534-1
2.7514
2.66431
0.08709
1.222
0.0076
0.8893
0


Z00030442-1
3.5939
3.4869
0.107
1.279
0.0077
0.8946
0 Mre11a
meiotic recombination 11
U042950
NM_018736.2
AK041248










homolog A (S. cerevisiae)


Z00060187-1
3.3844
3.26071
0.12369
1.329
0.0079
0.8976
0 Ugt2b35
UDP glucuronosyltransferase 2
U005740
NM_172881.1
AK190580










family, polypeptide B35


Z00053936-1
2.7484
2.661
0.0874
1.222
0.0078
0.8976
0
RIKEN cDNA D330017J20
U006622
NM_177204.2
AK034933









D330017J20Rik
gene


Z00030857-1
4.317
4.1879
0.1291
1.346
0.0079
0.8976
0 Hig1
hypoxia induced gene 1
U031455
NM_019814.2
AF141312


Z00002399-1
2.9216
2.8334
0.0882
1.225
0.0078
0.8976
0 Tfam
transcription factor A,
U031911
NM_009360.2
AK004857
MGI: 107810










mitochondrial


Z00024632-1
3.4796
3.37421
0.10539
1.274
0.0078
0.8976
0 Fignl1
fidgetin-like 1
U032514
NM_021891.2
AF263914


Z00006160-1
4.1696
4.0401
0.1295
1.347
0.0079
0.8976
0 Tk1
thymidine kinase 1
U033669
NM_009387.1
AK085188
MGI: 98763


Z00037647-1
3.2544
3.15581
0.09859
1.254
0.0079
0.8976
0
RIKEN cDNA 2810429O05
U033761
NM_134046.3
AK013198
MGI: 1923800









2810429O05Rik
gene


Z00058947-1
2.6414
2.55501
0.08639
1.22
0.0079
0.8976
0


Z00056170-1
3.0098
2.75691
0.25289
1.79
0.0081
0.9057
1 Ghrl
ghrelin
U027740
NM_021488.3
AB035701
MGI: 1930008


Z00034939-1
4.3894
4.2108
0.1786
1.508
0.0081
0.9057
0 Hmgcs1
3-hydroxy-3-methylglutaryl-
U040385
NM_145942.2
AK031297










Coenzyme A synthase 1


Z00054244-1
3.5841
3.44031
0.14379
1.392
0.0081
0.9057
0
Intronic in U000785


Z00019388-1
2.858
2.6302
0.2278
1.689
0.0082
0.9104
1 Slc14a1
solute carrier family 14 (urea
U038587
NM_028122.3
AF448798
MGI: 1351654










transporter), member 1


Z00052877-1
3.8196
3.67971
0.13989
1.38
0.0083
0.9164
0 Cdk6
cyclin-dependent kinase 6
U066460

AK030810
MGI: 1277162


Z00033350-1
2.7459
2.59341
0.15249
1.42
0.0083
0.917
0 Kcnj14
potassium inwardly-rectifying
U057287
XM_484830.1
BC022700
MGI: 2384820










channel, subfamily J, member










14


Z00026728-1
3.4368
3.3282
0.1086
1.284
0.0084
0.9186
0 Senp1
SUMO1/sentrin specific
U036610

AK053784
MGI: 2445054










protease 1


Z00036744-1
3.5965
3.46911
0.12739
1.34
0.0087
0.9218
0 Dna2l
DNA2 DNA replication
U011588
NM_177372.1
AK028381










helicase 2-like (yeast)


Z00039468-1
3.5012
3.34351
0.15769
1.437
0.0087
0.9218
0
RIKEN cDNA 3110049J23
U011590
NM_026085.1
AK007784









3110049J23Rik
gene


Z00046109-1
3.0918
3.0025
0.0893
1.228
0.0085
0.9218
0 Dnahc8
dynein, axonemal, heavy chain 8
U017788
NM_013811.1
AF117305
MGI: 107714


Z00056072-1
2.9614
2.87421
0.08719
1.222
0.0087
0.9218
0 Glmn
glomulin, FKBP associated
U026517
NM_133248.1
AJ566083
MGI: 2141180










protein


Z00052174-1
2.8826
2.79571
0.08689
1.221
0.0087
0.9218
0
RIKEN cDNA D730045B01
U027001

AK080901









D730045B01Rik
gene


Z00008437-1
3.532
3.4227
0.1093
1.286
0.0085
0.9218
0
RIKEN cDNA 2310061C15
U030300
NM_026844.2
AK002429









2310061C15Rik
gene


Z00015584-1
3.5857
3.4794
0.1063
1.277
0.0086
0.9218
0 Mcm4
minichromosome maintenance
U036823
NM_008565.2
AKO11743
MGI: 103199










deficient 4 homolog (S. cerevisiae)


Z00039348-1
2.8706
2.78371
0.08689
1.221
0.0087
0.9218
0
RIKEN cDNA 9930105H17
U092351
XM_486432.1
AK013372









9930105H17Rik
gene


Z00026363-1
2.7126
2.6168
0.0958
1.246
0.0087
0.9218
0
RIKEN cDNA 9430081H08
U180307

AK020500









9430081H08Rik
gene


Z00060821-1
2.8587
2.75161
0.10709
1.279
0.0087
0.9218
0 LOC434835
PREDICTED: Mus musculus
U314471
XM_486754.1










similar to Muc19 precursor










(LOC434835), mRNA


Z00061412-1
2.6258
2.5422
0.0836
1.212
0.0088
0.9262
0
RIKEN cDNA 4930488N15
U009855

AKO18507









4930488N15Rik
gene


Z00061044-1
4.2853
4.1572
0.1281
1.343
0.009
0.939
0
RIKEN cDNA 4930438O05
U000533
NM_027507.1
AKO10596









4930438O05Rik
gene


Z00003407-1
4.1259
4.00561
0.12029
1.319
0.009
0.9435
0 Mrpl55
mitochondrial ribosomal
U012678
NM_026035.1
AK012143










protein L55


Z00060221-1
4.0941
3.972
0.1221
1.324
0.009
0.9555
0 Slc37a4
solute carrier family 37
U010386
NM_008063.2
AF080469
MGI: 1316650










(glycerol-6-phosphate










transporter), member 4


Z00020853-1
2.6678
2.5597
0.1081
1.282
0.0094
0.9555
0 Kns2
kinesin 2
U014435
NM_008450.1
AF055665
MGI: 107978


Z00049890-1
3.1874
3.07261
0.11479
1.302
0.0095
0.9555
0 Fgfr1op
Fgfr1 oncogene partner
U017465
NM_201230.2
AK016110


Z00063182-1
2.8777
2.79171
0.08599
1.218
0.0095
0.9555
0 Impa2
inositol (myo)-1(or 4)-
U018841
NM_053261.1
AF353730










monophosphatase 2


Z00037692-1
3.1476
3.055
0.0926
1.237
0.0094
0.9555
0
RIKEN cDNA 9230117N10
U019359
NM
AK020353
MGI: 1924375









9230117N10Rik
gene

133775.1


Z00052913-1
2.6718
2.5837
0.0881
1.224
0.0094
0.9555
0 Olfr1164
olfactory receptor 1164
U022932
NM_146641.1

MGI: 3030998


Z00042118-1
2.5908
2.5022
0.0886
1.226
0.0092
0.9555
0
RIKEN cDNA 1700003G18
U029158

AK005637









1700003G18Rik
gene


Z00004448-1
3.0827
2.9953
0.0874
1.222
0.0094
0.9555
0 Nme4
expressed in non-metastatic
U037575
NM_019731.1
AF153451
MGI: 1931148










cells 4, protein


Z00020799-1
3.5759
3.47141
0.10449
1.272
0.0094
0.9555
0
RIKEN cDNA E430027O22
U074546
XM
AK088840









E430027O22Rik
gene

129248.5


Z00036732-1
3.6964
3.59081
0.10559
1.275
0.0095
0.9555
0
Intronic in U039164


Z00070589-1
4.2903
4.16411
0.12619
1.337
0.0095
0.9562
0 Elovl6
ELOVL family member 6,
U003840
NM
AB072039
MGI: 2156528










elongation of long chain fatty

130450.1










acids (yeast)


Z00057713-1
3.375
3.2417
0.1333
1.359
0.0096
0.9589
0 Slbp
stem-loop binding protein
U026089
NM_009193.1
AKO16826


Z00033363-1
3.2643
3.13181
0.13249
1.356
0.0096
0.9589
0
RIKEN cDNA 2210023G05
U057428
NM
AK008775









2210023G05Rik
gene

197999.1


Z00042691-1
3.2118
3.1078
0.104
1.27
0.0097
0.9629
0 Qrsl1
glutaminyl-tRNA synthase
U031744
XM_125586.3
AK012351
MGI: 1923813










(glutamine-hydrolyzing)-like 1


Z00025490-1
3.1386
3.04361
0.09499
1.244
0.0098
0.9648
0 Slc16a11
solute carrier family 16
U012847
NM_153081.1
S36676
MGI: 2663709










(monocarboxylic acid










transporters), member 11


Z00037730-1
3.0585
2.9478
0.1107
1.29
0.0098
0.9649
0 BC004701
cDNA sequence BC004701
U039585
NM_146235.2
AK029015


Z00033504-1
2.7812
2.69561
0.08559
1.217
0.0098
0.9649
0


Z00009211-1
2.696
2.60111
0.09489
1.244
0.0098
0.9655
0 Zfp592
zinc finger protein 592
U008292
NM_178707.2
AK033364


Z00025772-1
3.2363
3.1468
0.0895
1.228
0.0099
0.9675
0 Vrk2
vaccinia related kinase 2
U032588
NM_027260.1
AF513620


Z00022883-1
2.8079
2.7236
0.0843
1.214
0.01
0.9727
0 Inpp5b

Mus rousculus inositol

U004789
NM_008385.3
AF040094
MGI: 103257










polyphosphate-5″phosphatase










B (InppSb), mRNA


Z00012014-1
2.6992
2.56701
0.13219
1.355
0.01
0.9727
0
RIKEN cDNA 1700022L09
U023568
NM_025853.1
AK006246









1700022L09Rik
gene









GO annotations showed a striking overrepresentation of genes showing increased expression involved with DNA replication (P<10−15), cell cycle (P<10−9), and cell proliferation (P<10−9)(Tables 4, 5).









TABLE 4







Gene Ontogeny (GO) annotation categories of genes with altered expression in


microarray analyses of laser capture microdissected crypts.*


Upregulated in LOI














Total GO-
Total GO-





Genes
annotated
annotated
Total GO-



upregulated in
upregulated
genes in
annotated


GO-annotation Category
category
genes
category
genes
P value















DNA replication and chromosome
15
168
103
12933
10−15


cycle


DNA replication
13
168
83
12933
10−15


DNA metabolism
24
168
373
12933
10−15


DNA-dependent DNA replication
5
168
31
12933
10−12


Cell cycle
23
168
527
12933
10−9


Cell proliferation
27
168
692
12933
10−9


Nuclear division
8
168
115
12933
10−7


M phase
8
168
124
12933
10−6


Mitotic cell cycle
8
168
129
12933
10−6


Mitosis
6
168
82
12933
10−6


M phase of mitotic cell cycle
6
168
83
12933
10−6


DNA repair
7
168
122
12933
10−5


ATP binding
28
168
1012
12933
10−5


Adenyl-nucleotide binding
28
168
1028
12933
10−4


Cytokines
6
168
99
12933
10−4


ATP-dependent helicase activity
5
168
73
12933
10−4


Purine nucleotide binding
32
168
1293
12933
10−4


Carboxylic acid metabolism
11
168
281
12933
10−4


Organic acid metabolism
11
168
281
12933
10−4


Nucleotide binding
32
168
1313
12933
10−4


Response to DNA damage
7
168
142
12933
10−4


stimulus


ATPase activity
9
168
213
12933
10−4


Metabolism
90
168
5100
12933
10−4


Response to endogenous stimulus
7
168
147
12933
10−4





*GO annotation was analyzed at http://lgsun.grc.nia.nih.gov/geneindex4/upload.html. Shown are categories with >5 genes identified with P < 10−4. Downregulated genes were not enriched in any category.













TABLE 5







Genes involved in the top ranking categories (DNA replication/cell cycle),


upregulated in LOI(+) mice in microarray analysis of laser-capture microdissected crypts.+









Gene
Fold change
Function












Card11
1.65
Phosphorylates BCL10, inducing NF-kB activity


Ccdc5
1.54
Regulator of spindle function


Skp2
1.49
Oncogene required for S-phase entry


Gmnn
1.49
Accumulated in S, G2 and M, inhibiting inappropriate origin firing by CDT1


Ccne1
1.48
Required for CDK2 activation, leading to proliferation


Chaf1a
1.48
Assembles histone octamer onto replicating DNA during S phase


Mcm5
1.47
Required for DNA replication, interacting with Cdc6 and Mcm2


Rfc3
1.44
Involved in efficient elongation of DNA


Rpa2
1.42
32-kD subunit of replication protein A


Cdc6
1.42
Essential licensing factor for DNA replication


Mertk
1.39
Proto-oncogene expressed in epithelial and reproductive tissues


Pitx2
1.38
Transcription factor required for effective cell type-specific proliferation


Cenph
1.37
Mitotic centromere-associated kinesin


Lig1
1.37
DNA ligase involved in joining Okazaki fragments


Mcm3
1.36
Required for DNA unwinding during DNA replication


Smc2l1
1.36
Required for mitotic chromosome condensation


Rpa1
1.35
Subunit of replication protein A required for DNA replication


Spag5
1.33
Orthologue of astrin, localized to spindle and required for mitosis


Orc6l
1.32
Binds origins of DNA replication for initiation of DNA replication


Uhrf1
1.30
Required for S-phase entry, regulates Top2a expression.


Mre11a
1.28
Required for double-strand break repair and cell proliferation


Mcm4
1.28
Required for DNA replication, interacts with Mcm6 and Mcm7


Cdc7
1.27
Required for G1-S transition and initiation of DNA replication


Itgb1
1.25
Progenitor cell marker for proliferative zone of colon crypts


Pold3
1.24
Subunit of DNA polymerase delta required for DNA replication.


Kntc1
1.24
Mitotic check point


Glmn
1.22
Immunophilin, natural ligand of FKBP59 and FKBP12





+Shown are genes with ≧1.20-fold change.






Significant enrichment in other categories was not seen. In order to confirm these results by real-time quantitative PCR, LCM was performed on 15,000 additional crypts microdissected from an additional 12 LOI(+) and 9 LOI(−) mice, yielding >300 ng of RNA from each sample. While the changes in gene expression were moderate (˜1.5 fold)(Tables 4 and 5, supra), real-time quantitative PCR analysis of 14 genes confirmed statistically significant differences in 13 (P between 0.003 and 0.04) and the other was suggestive (P=0.1)(FIG. 1).


The top ranking genes in this analysis included Cdc6, an essential licensing factor leading to initiation of DNA replication and onset of S-phase (Dutta et al., Annu Rev Cell Dev Biol (1997) 13:293-332; Coleman et al., Cell (1996) 87:53-63), Mcm5 and Mcm3, both required for DNA replication at early S-phase (Chong et al., Nature (1995) 375:418-421; Madline et al., Nature (1995) 375:421-424), Skp2, necessary for S-phase entry (Reed, Nat Rev Mol Cell BGiol (2003) 4:855-864; Bashir et al., Nature (2004) 428:190-193), Ccdc5, a regulator of spindle function (Einarson et al., Mol Cell Biol (2004) 24:3957-3971), Chaf1a, which assembles the histone octamer onto replicating DNA (Smith and Stillman, Cell (1989) 58:15-25), and Rpa2, a single strand DNA binding protein essential for DNA replication (Mass et al., Mol Cell Biol (1989) 18:6399-6407; Shao et al., Embo J (1999) 18:13971406) (FIG. 1, Tables 4, 5, supra). These results imply that LOI causes a specific alteration in replication-associated gene expression in intestinal epithelium. Nevertheless, increased expression of some genes not associated with DNA replication per se was observed. For example, Card11 (FIG. 1) is an anti-apoptotic gene acting through phosphorylation of BCL10 and induction of NF-κB (Bunnell, Mol Interv (2002) 2:356-360). Expression of Msi1 was also analyzed by real-time PCR, as the encoded progenitor cell marker Musashi-1 showed increased immunostaining in a previous study (Sakatani et al. (2005)). Expression of Msi1 was also significantly increased (P=0.01)(FIG. 1), confirming the earlier result and supporting a pleiotropic mechanism for IGF2 in LOI. Finally, several genes showed down regulation in LOI(+) crypts, including p21 (FIG. 1), an inhibitor of cell cycle progression.


Example 1
In Vitro Confirmation of the Proliferative Effect of IGF2 LOI(+) on Progenitor Cells

It remained theoretically possible that the observed difference in gene expression simply reflected the over-representation of progenitor cells within the intestinal crypts, rather than a change in cellular gene expression per se. To confirm the latter, mouse embryonic stem (ES) cells were derived and plated in ESGRO Complete Clonal Grade defined medium (Chemicon), which contains no IGF2 and allows growth of undifferentiated ES cells without a feeder layer, which was done with or without 800 ng/ml of mouse Igf2 recombinant protein (StemCell Technologies). Consistent with the microarray experiments, Igf2 induced a 50% and 56% increase in Cdc6 gene expression at 3 and 6 hours, respectively, and 40% and 25% at 10 and 24 hours, respectively (FIG. 3). Similar results were observed for Mcm5 (FIG. 3). To confirm the specificity of this effect, these experiments were repeated by blocking IGF2 signaling with NVP-AEW541, a pyrrolo[2,3-d]pyrimidine derivative that specifically inhibits IGF1R over the related insulin receptor, and that the drug blocks IGF2 at IGF1R was also confirmed (FIG. 9). NVP-AEW541 completely abrogated the IGF2-induced increased expression of Cdc6 at all time points (FIG. 3). These experiments were repeated for Mcm5 and Msi1, with similar results (FIG. 3, FIG. 10), confirming that Igf2 induced proliferation-related gene expression, as well as increased proliferation of progenitor cells in vivo.


The idea that LOI(+) progenitor cells proliferate more quickly than LOI(−) cells was then tested by deriving 4 ES lines each from both LOI(+) and LOI(−) embryos. LOI(+) ES cells showed an apparently larger colony size by light microscopy than did LOI(−)(FIG. 4). In order to quantify colony size, 1,000 ES cells were seeded each from four LOI(+) and four LOI(−) lines on feeder cells and measured the size of 15-30 colonies from each, daily through day 6. LOI (+) ES cells showed a statistically significant increase in colony size over LOI(−) ES cells as early as day 3 (P=0.001), which increased to an 86% increase by day 6 (P=0.0009)(FIG. 5).


ES cell growth was then measured directly as undifferentiated cells in ESGRO Complete Clonal Grade defined medium (Chemicon), again using four LOI(+) and four LOI(−) ES lines, with triplicate wells at days 0 through 4. LOI(+) ES cells showed a 26% increased growth rate (P=0.01), with a 160% increase in cell number over LOI(−) ES cells by day 4 (P=0.0003). Therefore, LOI(+) ES cells proliferate significantly more rapidly than LOI(−) ES cells, consistent with the expression data suggesting that intestinal progenitor cells with LOI also show greater proliferation (FIG. 6).


Example 2
Specific Inhibition of Aberrant Crypt Foci in LOI(+) Mice by an Inhibitor of Igf1R

Because of known strain variation in progression of these lesions, littermate controls were treated with and without LOI, in which the dams were heterozygous for a deletion of the H19 differentially methylated region (DMR); inheritance of a maternal allele lacking the DMR leads to activation of the normally silent allele of Igf2 [LOI(+)], while inheritance of a wild type maternal allele leads to normal imprinting [LOI(−)]. Eight LOI(+) and 14 LOI(−) mice were given AOM intraperitoneally weekly for 3 weeks, sacrificed at 5 weeks after the first dose, and ACF were scored by the method of Bird (1987). Histologic examination of colons from AOM-treated mice confirmed the presence of ACF, with hyperproliferative features including increased mitosis, crypt enlargement and crypt disarray (FIG. 12). These results are consistent with the proliferation-specific changes in gene expression described above. An additional intriguing finding in AOM-treated LOI(+) mice was cystically dilated crypts lined by enlarged cells with atypical nuclei and that contained necrotic debris, that were reminiscent of sessile serrated adenomas (SSAs) seen in the human colon (FIG. 12). SSAs also show crypt dilatation in association with cytologic atypia and are currently of immense interest for their recently recognized association with colorectal cancer (Snover et al., Am J Clin Pathol (2005) 124:380-391). It will thus be of interest to determine whether SSAs are associated with LOI in the human population.


LOI(+) mice showed 19.8±2.2 ACF per colon, compared to 12.4±0.9 ACF per colon in LOI(−) mice, a 60% increase (P=0.002). An additional 9 LOI(+) mice and 9 LOI(−) control littermates were similarly exposed to AOM, adding treatment with NVP-AEW541, an IGF1R inhibitor, at a dose of 50 mg/kg by oral gavage daily for 6 weeks (twice daily except daily on weekends). LOI(−) mice showed no difference in ACF formation after NVP-AEW541 drug treatment (11.3±1.6, N.S.). However, LOI(+) mice showed a striking reduction in AOM-induced ACF formation after NVP-AEW541 treatment (7.8±1.2, P=0.0002), significantly lower even than that seen in LOI(−) AOM-treated mice (P=0.007). Thus, LOI of lgf2 increases the sensitivity to AOM through an IGF1R-dependent mechanism. Furthermore, LOI(+) mice are more sensitive to the effects of IGF1R blockade than are LOI(−) mice, suggesting an increased sensitivity to IGF2 signaling in LOI(+) mice (FIG. 7).


These results taken together suggest a possible chemoprevention strategy in which patients with LOI are treated with a drug designed to inhibit IGF2 signaling, thereby reducing the increased proliferation of progenitor cells. As a proof of principle experiment, a new animal model of LOI was developed using the chemical carcinogen azoxymethane (AOM), which, unlike the Min model, is colon-specific and the exposure can be timed postnatally. The C57BI/6 strain in which the LOI model was established develops aberrant crypt foci (ACF), which are mucosal lesions with varying degrees of crypt multiplicity, elevation, and enlargement. This strain is nontumorigenic but ideally suited for study of the earliest stages of tumor development, which is the presumed target for LOI as well as our chemopreventative strategy. ACFs have been used as a model for rodent intestinal tumors for two decades (Schoonjans et al., Proc Natl Acad Sci USA (2005) 102:2058-2062; Osawa et al., Gastroenterology (2003) 124:361-367).


Example 3
LOI Causes Long Term Potentiation of Akt Signaling in Response to Igf2

To determine whether cells from LOI(+) mice themselves differed in IGF2 sensitivity, a novel high throughput signal transduction assay was developed based on an immunostaining automation device comprising microfluidic chambers housing multiple cells (Wang et al., in 10th International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS2006) (Tokyo, Japan, 2006). An advantage of the microfluidic chip is that all the cells can be cultured simultaneously on the same chip and under identical conditions, with exquisite control of the cell medium over the time of the experiment and subsequent analysis, allowing a much larger number of measurements than would be possible by conventional means. The device was constructed within a monolithic 2-layer PDMS chip sealed with a glass coverslip, with defined media delivery controlled by a multiplexed system of valves. Akt/PKB, a known and well characterized target of IGF2 activation, was examined and mouse embryo fibroblast (MEF) lines from LOI(+) and LOI(−) embryos were derived for this purpose. MEF lines were chosen over ES cells in this analysis to facilitate individual cell examination in microfluidic chambers rather than in densely packed colonies. Live LOI(+) and LOI(−) cells were stimulated within the chips with varying doses of IGF2, with Akt/PKB measurements at multiple time points and IGF2 concentration. For each cell type, IGF2 concentration, and time point, at least 200 individual cellular measurements were obtained by digital imaging and analysis, providing ample information for statistically significant evaluation of both the average response and cell-cell variability. The results were consistent in chip-to-chip variation analysis, with two chips used for each cell line. As a read-out immunostaining of the nuclear phosphorylated Akt (Ser 473, Upstate) was used. Previous studies have revealed importance of Akt for cell cycle regulation, with sustained activity implicated in growth factor-mediated transition through G1 (Jones et al., Curr Biol (1999) 9:512-521).


IGF2 triggered a transient Akt activation signal (peak at 10 to 40 minutes followed by a return to the baseline within 90 min.) in LOI(−) cells (FIG. 8A) at all concentrations tested (400, 800, and 1600 ng/ml), comparable to levels used to support mouse fetal liver hematopoietic stem cells (500-1000 ng/ml) (Zhang and Lodish, Blood (2004) 103:2513-2521). In contrast, when subjected to the lowest (400 ng/ml) Igf2 concentration, LOI(+) cells showed markedly sustained Akt activation (>120 minutes), which increased steadily over time after stimulation (FIG. 8A). At higher IGF2 doses, the Akt signal in LOI cells became progressively more transient and less pronounced. These results demonstrate that LOI(+) cells have enhanced sensitivity to IGF2 at lower doses, and could help explain the increased sensitivity of LOI(+) mice to IGF1R inhibition.


Example 4
LOI-Related Increase in Proliferation-Related Gene Expression is Differentially Sensitive to IGF1R Inhibition

Earlier it had been shown that LOI leads to an increase in the progenitor cell compartment in crypt cells of Min mice (Sakatani et al. (2005)), but the mechanism was unknown. Therefore it was sought to determine what changes in gene expression occur in gastrointestinal epithelial progenitor cells in LOI mice. Gene expression was measured in laser capture microdissected crypts, comparing 8000 crypts from each of 3 LOI(+) and 3 LOI(−) mice on microarrays. 283 genes showed increased expression and 109 genes showed decreased expression (Table 3, supra). GO annotation showed a striking overrepresentation of genes showing increased expression involved with DNA replication (P<10−15), DNA metabolism (P<10−15), cell cycle (P<10−9), and cell proliferation (P<10−9)(Tables 3 and 6), consistent with earlier observations of increased progenitor cells in LOI(+) mice (Sakatani et al., (2005)).









TABLE 6





List of Genes with Dignificant difference (P < 0.01) in Microarray


Analysis of Laser Capture Microdissected crypts (Downregulation in


LOI(−) crypt).























Mean







Mean
(H19wt,


P
Noisy


Featureid
(H19mut, LOI+)
LOI−)
LogRatio
FoldChng
FDR
Symbol





Z00027742-1
3.5267
3.8485
−0.3218
2.097
0
0







0.0005
Grin2d


Z00005302-1
3.12
3.35259
−0.23259
1.708
0
0







0.0015
Cdkn1a


Z00041932-1
2.7672
2.9276
−0.1604
1.446
0
0







0.0075
Ahnak


Z00027819-1
3.106
3.254
−0.148
1.406
0
0







0.0306
Gm502


Z00011777-1
2.9645
3.13359
−0.16909
1.476
0
0







0.0331
A630082K20Rik


Z00021589-1
3.2141
3.38699
−0.17289
1.488
0
0







0.0463
Map3k6


Z00039323-1
2.6312
2.76889
−0.13769
1.373
0
0







0.0664
A930008A22Rik


Z00013598-1
3.1007
3.2446
−0.1439
1.392
0
0 Skiip







0.0717


Z00044310-1
3.0685
3.2893
−0.2208
1.662
0
0







0.0937
1700011H14Rik


Z00035971-1
2.8825
3.0066
−0.1241
1.33
0.0001
0 Ckap4







0.1121


Z00064631-1
2.6715
2.79369
−0.12219
1.324
0.0001
0







0.1194


Z00063868-1
2.5884
2.71369
−0.12529
1.334
0.0002
0 Herc5







0.1607


Z00005771-1
3.5523
3.7683
−0.216
1.644
0.0002
0 Klf6







0.1655


Z00057298-1
2.6089
2.73129
−0.12239
1.325
0.0002
0







0.1801
AI987662


Z00060167-1
3.8979
4.07059
−0.17269
1.488
0.0003
0







0.2387
Chmp4b


Z00055119~1
2.6125
2.7324
−0.1199
1.317
0.0003
0







0.2387
9530033F24Rik


Z00031167-1
2.6209
2.7358
−0.1149
1.302
0.0004
0 Xlr







0.2407


Z00059181-1
2.6076
2.76609
−0.15849
1.44
0.0005
0







0.2551
AA536749


Z00047700-1
2.9974
3.14889
−0.15149
1.417
0.0005
0







0.2551
A830006N08Rik


Z00042720-1
3.1281
3.2515
−0.1234
1.328
0.0005
0







0.2551
6430527G18Rik


Z00021452-1
4.1943
4.36869
−0.17439
1.494
0.0005
0







0.2588
Gdpd1


Z00033810-1
3.137
3.302
−0.165
1.462
0.0006
0







0.2903


Z00027804-1
2.7244
2.9361
−0.2117
1.628
0.0006
0







0.3018
Gpr120


Z00041224-1
3.2239
3.3967
−0.1728
1.488
0.0006
0







0.3018
BC025076


Z00025480-1
2.5353
2.6646
−0.1293
1.346
0.0007
0







0.3319
Bmper


Z00004154-1
2.8682
2.9804
−0.1122
1.294
0.0008
0 Ssfa2







0.3335


Z00024307-1
2.8206
2.93119
−0.11059
1.29
0.0008
0 Ly6d







0.3457


Z00040747-1
2.9132
3.0818
−0.1686
1.474
0.0009
0







0.349
B430201A12Rik


Z00040571-1
2.5402
2.64659
−0.10639
1.277
0.0009
0







0.3646
Atp8b1


Z00026784-1
2.974
3.08809
−0.11409
1.3
0.001
0







0.3792
Naaladl1


Z00042521-1
4.2784
4.50009
−0.22169
1.666
0.0011
0







0.3834
1110006O24Rik


Z00016189-1
2.6902
2.82019
−0.12999
1.348
0.0012
0 Thbs1







0.3878


Z00064702-1
2.6282
2.73519
−0.10699
1.279
0.0012
0







0.3878


Z00023675-1
2.5968
2.70509
−0.10829
1.283
0.0013
0 Cd3g







0.3949


Z00008387-1
3.3617
3.4825
−0.1208
1.32
0.0013
0







0.405
D16Ertd480e


Z00058668-1
2.7168
2.841
−0.1242
1.331
0.0015
0







0.4327
2410195B05Rik


Z00029694-1
3.8014
4.0834
−0.282
1.914
0.0015
0







0.4399
5730442P18Rik


Z00015708-1
2.9609
3.08009
−0.11919
1.315
0.0016
0







0.4486
Elovl7


Z00027266-1
2.5555
2.6589
−0.1034
1.268
0.0017
0







0.4579
4930535E21Rik


Z00032444~1
2.7836
2.8868
−0.1032
1.268
0.0019
0







0.5016
Mylc2b


Z00014295-1
3.141
3.25059
−0.10959
1.287
0.0019
0 Hsdl2







0.5061


Z00024114-1
2.5759
2.7035
−0.1276
1.341
0.002
0 Cdx1







0.5224


Z00009280-1
3.419
3.543
−0.124
1.33
0.0021
0 Nhsl1







0.5336


Z00023930-1
2.835
2.9775
−0.1425
1.388
0.0021
0 Gdf15







0.5336


Z00025459-1
2.8792
2.9792
−0.1
1.258
0.0027
0







0.6414
Arid3a


Z00006544-1
3.4135
3.53379
−0.12029
1.319
0.0027
0







0.6414
Npepps


Z00024111-1
3.3292
3.4378
−0.1086
1.284
0.0028
0 Syt10







0.6568


Z00033010-1
2.7361
2.8298
−0.0937
1.24
0.0029
0







0.6608
Efemp2


Z00056587-1
2.6828
2.7909
−0.1081
1.282
0.0032
0







0.7043
181003N24Rik


Z00057248-1
2.6492
2.7745
−0.1253
1.334
0.0033
0 Xlr







0.7043


Z00023103-1
2.9645
3.08749
−0.12299
1.327
0.0033
0 Clic5







0.7043


Z00060328-1
3.1619
3.32199
−0.16009
1.445
0.0033
0 Bzw1







0.7116


Z00036150-1
3.1027
3.20829
−0.10559
1.275
0.0034
0 Fcgrt







0.7116


Z00060861-1
2.5462
2.6452
−0.099
1.256
0.0034
0







0.7166
1810047C23Rik


Z00062597-1
2.7107
2.80359
−0.09289
1.238
0.0038
0 Fst







0.7706


Z00068378-1
3.2094
3.3546
−0.1452
1.397
0.0039
0







0.7736


Z00022408-1
3.4615
3.5743
−0.1128
1.296
0.0039
0







0.7784
Cited2


Z00022297-1
2.9252
3.0228
−0.0976
1.251
0.004
0 Rhoj







0.7784


Z00003251-1
2.7864
2.88129
−0.09489
1.244
0.0041
0







0.7806


Z00001120-1
2.7223
2.81329
−0.09099
1.233
0.0042
0 Thop1







0.7925


Z00015596-1
2.922
3.12919
−0.20719
1.611
0.0044
0 Oact1







0.7934


Z00055229-1
2.8801
3.00939
−0.12929
1.346
0.0044
0







0.7972
LOC380843


Z00061294-1
2.8519
2.94839
−0.09649
1.248
0.0044
0







0.8005


Z00036109-1
2.5678
2.66
−0.0922
1.236
0.0046
0







0.8062
Lamb1-1


Z00018830-1
2.8117
2.90509
−0.09339
1.239
0.0047
0 C1r







0.8062


Z00016016-1
2.9404
3.06639
−0.12599
1.336
0.0047
0 Plec1







0.8062


Z00058245-1
3.2352
3.3367
−0.1015
1.263
0.0048
0







0.8194
LOC382906


Z00059003-1
2.6504
2.7513
−0.1009
1.261
0.0056
0 Slit2







0.8199


Z00009502-1
2.5168
2.61079
−0.09399
1.241
0.0057
0 Hspb1







0.8199


Z00034606-1
3.1133
3.22649
−0.11319
1.297
0.0055
0







0.8199
Kdelr2


Z00020266-1
3.3706
3.47999
−0.10939
1.286
0.005
0







0.8199
Arfrp2


Z00060766-1
2.6172
2.7079
−0.0907
1.232
0.0057
0







0.8199
1300007B12Rik


Z00038671-1
2.6457
2.73339
−0.08769
1.223
0.005
0







0.8199
D5Bwg0834e


Z00056132-1
3.3804
3.4904
−0.11
1.288
0.0057
0 Wasl







0.8199


Z00024939-1
2.5325
2.65519
−0.12269
1.326
0.0049
0 Irf7







0.8199


Z00015996-1
2.7647
2.8515
−0.0868
1.221
0.0052
0







0.8199
Akap2,








Palm2


Z00068882-1
2.5079
2.6034
−0.0955
1.245
0.005
0







0.8199
LOC432634


Z00066890-1
2.6898
2.7805
−0.0907
1.232
0.0054
0







0.8199


Z00055441-1
3.4335
3.5426
−0.1091
1.285
0.0061
0







0.8288
Atp6v0e


Z00005843-1
3.8481
4.03849
−0.19039
1.55
0.0061
0







0.8288
Aph1a


Z00043229-1
3.0792
3.19029
−0.11109
1.291
0.006
0







0.8288
2600009E05Rik


Z00007361~1
2.5133
2.60639
−0.09309
1.239
0.0062
0







0.8288
E130014J05Rik


Z00035126-1
3.0869
3.188
−0.1011
1.262
0.0062
0 Wasl







0.8288


Z00060705-1
2.8653
2.9904
−0.1251
1.333
0.0062
0 Cd2ap







0.8288


Z00067827-1
2.8661
2.9568
−0.0907
1.232
0.0062
0







0.8288


Z00030081~1
2.9433
3.1123
−0.169
1.475
0.0062
0







0.8288


Z00063055-1
2.9086
3.0162
−0.1076
1.281
0.0066
0







0.8525


Z00023416-1
2.7264
2.8117
−0.0853
1.217
0.0068
0







0.8527
Tnfrsf14


Z00021381-1
3.2692
3.38189
−0.11269
1.296
0.0068
0 Gyk







0.8601


Z00022714-1
3.2862
3.3849
−0.0987
1.255
0.0071
0







0.8608
Grcc3f


Z00024151-1
2.6891
2.7904
−0.1013
1.262
0.007
0







0.8608
Rasgrf1


Z00011773-1
2.5031
2.5948
−0.0917
1.235
0.007
0







0.8608
Adamts2


Z00035615-1
3.0693
3.15869
−0.08939
1.228
0.0072
0 Cobl







0.8608


Z00066214-1
4.0245
4.168
−0.1435
1.391
0.0072
0







0.8608


Z00043624-1
2.5583
2.7086
−0.1503
1.413
0.0073
0







0.8667
Chmp4b


Z00040734-1
2.8416
2.94469
−0.10309
1.267
0.0073
0







0.8701
4930432B04Rik


Z00026828-1
3.5252
3.7835
−0.2583
1.812
0.0077
1







0.8976
E030010A14


Z00055606-1
3.1244
3.29819
−0.17379
1.492
0.0078
0 Tsx







0.8976


Z00008080-1
3.1937
3.38399
−0.19029
1.549
0.008
0







0.8993
Prkcbp1


Z00057842-1
2.776
3.2209
−0.4449
2.785
0.008
1 Nptx2







0.8993


Z00025293-1
2.9541
3.043
−0.0889
1.227
0.008
0







0.9032
Gdf1, Lass1


Z00030376-1
2.9933
3.10439
−0.11109
1.291
0.0083
0







0.9164
2700062C07Rik


Z00049596-1
2.7014
2.8426
−0.1412
1.384
0.0083
0







0.9164
9130218O11Rik


Z00054220-1
3.4174
3.52119
−0.10379
1.269
0.0084
0







0.9186
Dnajb10


Z00016776-1
2.8349
2.92109
−0.08619
1.219
0.0085
0 Ssb







0.9218


Z00026542-1
2.6124
2.70329
−0.09089
1.232
0.0086
0







0.9218
D130060C09Rik


Z00036665-1
3.5566
3.67839
−0.12179
1.323
0.0085
0







0.9218
Atp2c1


Z00018373-1
3.6543
3.77009
−0.11579
1.305
0.0087
0







0.9218
Smad4


Z00019928-1
2.6567
2.7401
−0.0834
1.211
0.009
0







0.939
D330010C22Rik


Z00009274-1
3.0732
3.19439
−0.12119
1.321
0.0091
0 Sulf2







0.9435


Z00032201-1
3.3134
3.45679
−0.14339
1.391
0.0095
0







0.9555


Z00040312-1
2.8784
2.9664
−0.088
1.224
0.0093
0 Abi3







0.9555



Z00057502-1
2.9689
3.0567
−0.0878
1.224
0.0095
0







0.9555
Znhit2


Z00070092-1
2.6803
2.77349
−0.09319
1.239
0.0095
0







0.9555


Z00006417-1
2.4712
2.55929
−0.08809
1.224
0.0096
0







0.9593
Hs3st3b1


Z00006170-1
3.2905
3.39939
−0.10889
1.284
0.0097
0 Cpne3







0.9593


Z00024368-1
4.3807
4.93979
−0.55909
3.623
0.0099
1







0.9675
Slc6a9


Z00036435-1
2.6826
2.7806
−0.098
1.253
0.0099
0







0.9675
Pcdha11








and








others

















Gene







Index




‘U’
RefSeq
GenBank


Featureid
Annotation
Cluster
Acc
Acc
MGI





Z00027742-1
glutamate
U028546
NM_008172.1
AK077611
MGI:



receptor,



95823



ionotropic,



NMDA2D



(epsilon 4)


Z00005302-1
cyclin-dependent
U017761
NM_007669.2
AB017817
MGI:



kinase inhibitor



104556



1A (P21)


Z00041932-1

Mus musculus

U168837

AK003448
MGI:



AHNAK



1316648



nucleoprotein



(desmoyokin)


Z00027819-1
gene model 502,
U009440
XM_146397.2
BC010572
MGI:



(NCBI)



2685348


Z00011777-1
RIKEN cDNA
U027200
XM_145254.4
AK035529



A630082K20



gene


Z00021589-1
mitogen-
U004915
NM_016693.2
AB021861
MGI:



activated protein



1855691



kinase kinase



kinase 6


Z00039323-1
RIKEN cDNA
U030737
NM_172768.1
AK020827



A930008A22



gene


Z00013598-1
SKI interacting
U034214
NM_025507.1
AK009218
MGI:



protein



1913604


Z00044310-1
RIKEN cDNA
U035491
NM_025956.2
AK005866



1700011H14



gene


Z00035971-1
cytoskeleton-
U032075
XM_125808.5
AK030708
MGI:



associated



2444926



protein 4


Z00064631-1


Z00063868-1

Mus musculus

U006930
NM_025992.1
AK007221
MGI:



hect domain and



1914388



RLD 5 (Herc5),



mRNA


Z00005771-1
Kruppel-like
U014517
NM_011803.1
AF072403
MGI:



factor 6



1346318


Z00057298-1
expressed
U041037
NM_178899.3
AK033728



sequence



AI987662


Z00060167-1
chromatin
U002691
NM_029362.2
AK008205



modifying



protein 4B


Z00055119~1

Mus musculus

U013231
NM_201609.1
AK053008



RIKEN cDNA



9530033F24



gene



(9530033F24Rik)


Z00031167-1

Mus musculus

U047383
NM_011725.2
AK012549



X-linked



lymphocyte-



regulated



complex (Xlr)


Z00059181-1

Mus musculus

U012687
NM_012027.1
AB093269
MGI:



expressed



1349438



sequence



AA536749



(AA536749)


Z00047700-1

Mus musculus

U032762
NM_183173.1
AK043538



RIKEN cDNA



A830006N08



gene



(A830006N08Rik)


Z00042720-1
RIKEN cDNA
U034200
NM_145836.1
AF525300



6430527G18



gene


Z00021452-1
glycerophosphodiester
U033233
NM_025638.1
AK011487



phosphodiesterase



domain



containing 1


Z00033810-1

U064815


Z00027804-1

Mus musculus G

U100866
NM_181748.1
AB115769



protein-coupled



receptor 120



(Gpr120)


Z00041224-1
cDNA sequence
U104957

AK087807



BC025076


Z00025480-1
BMP-binding
U010170
NM_028472.1
AF454954
MGI:



endothelial



1920480



regulator


Z00004154-1
sperm specific
U001964
NM_080558.3
AB093303
MGI:



antigen 2



1917849


Z00024307-1
lymphocyte
U036290
NM_010742.1
BC025135
MGI:



antigen 6



96881



complex, locus D


Z00040747-1
RIKEN cDNA
U024539
XM_283903.2
AK005412



B430201A12



gene


Z00040571-1
ATPase, class I,
U038499
NM_001001488.1
AF395823
MGI:



type 8B, member 1



1859665


Z00026784-1
N-acetylated
U085390
NM_001009546.1

MGI:



alpha-linked



2685810



acidic



dipeptidase-like 1


Z00042521-1
RIKEN cDNA
U026636
NM_021417.1
AB041800



1110006O24



gene


Z00016189-1
thrombospondin 1
U002275
NM_011580.2
AK080686
MGI:







98737


Z00064702-1


Z00023675-1
CD3 antigen,
U030789
NM_009850.1
BC027528
MGI:



gamma



88333



polypeptide


Z00008387-1
DNA segment,
U017162
NM_144550.2
AK048789



Chr 16, ERATO



Doi 480,



expressed


Z00058668-1
RIKEN cDNA
U006185
NM_030241.2
AK008845



2410195B05



gene


Z00029694-1
RIKEN cDNA
U013415

AF215666



5730442P18



gene


Z00015708-1
ELOVL family
U015234
NM_029001.2
AK018616



member 7,



elongation of



long chain fatty



acids (yeast)


Z00027266-1
RIKEN cDNA
U030932
NM_029212.1
ABO48860
MGI:



4930535E21



1922464



gene


Z00032444~1
myosin light
U038037
NM_023402.1
AK002885
MGI:



chain, regulatory B



107494


Z00014295-1
hydroxysteroid
U004381
NM_024255.1
AJ293845



dehydrogenase



like 2


Z00024114-1
caudal type
U038465
NM_009880.2
BC019986
MGI:



homeo box 1



88360


Z00009280-1
NHS-like 1
U011305
NM_173390.2
AK043447
MGI:







106390


Z00023930-1
growth
U029924
NM_011819.1
AF159571
MGI:



differentiation



1346047



factor 15


Z00025459-1
AT rich
U011730
NM_007880.1
AK034824
MGI:



interactive



1328360



domain 3A



(Bright like)


Z00006544-1
aminopeptidase
U033337
NM_008942.1
BC009653
MGI:



puromycin



1101358



sensitive


Z00024111-1
synaptotagmin
U105649
NM_018803.1
AK051232



10


Z00033010-1
epidermal
U051376
NM_021474.2
AF104223
MGI:



growth factor-



1891209



containing



fibulin-like



extracellular



matrix protein 2


Z00056587-1
RIKEN cDNA
U032536
NM_025443.1
AF349950



1810003N24



gene


Z00057248-1

Mus musculus

U040096
NM_027510.1



X-linked



lymphocyte-



regulated



complex (Xlr)


Z00023103-1
chloride
U043605
NM_172621.1
AK017800



intracellular



channel 5


Z00060328-1
basic leucine
U000306
NM_025824.2
AK004784



zipper and W2



domains 1


Z00036150-1
Fc receptor, IgG,
U028514
NM_010189.1
AK008167
MGI:



alpha chain



103017



transporter


Z00060861-1
RIKEN cDNA
U009309
NM_138668.1
AK075795



1810047C23



gene


Z00062597-1
follistatin
U035199
NM_008046.1
AK079916


Z00068378-1

U058896


Z00022408-1
Cbp/p300-
U011296
NM_010828.1
AK177398
MGI:



interacting



1306784



transactivator,



with Glu/Asp-



rich carboxy-



terminal domain, 2


Z00022297-1
ras homolog
U014096
NM_023275.1
ABO60651
MGI:



gene family,



1931551



member J


Z00003251-1
UI-M-FY0-ccp-j-
U271068



21-0-UI.r1



NIH_BMAP_FY0




Mus musculus




cDNA clone



IMAGE: 6822742


Z00001120-1
thimet
U011773
NM_022653.2
AF314187
MGI:



oligopeptidase 1



1354165


Z00015596-1
O-acyltransferase
U014692
NM_153546.1
AK020281



(membrane



bound) domain



containing 1


Z00055229-1
PREDICTED:
U014794
XM_354752.2




Mus musculus




similar to



hypothetical



protein



FLJ30829


Z00061294-1


Z00036109-1
laminin B1
U013837
NM_008482.1
AK013952
MGI:



subunit 1



96743


Z00018830-1
complement
U020779
NM_023143.1
AF148216



component 1, r



subcomponent


Z00016016-1
plectin 1
U036336
NM_011117.1
AF188006
MGI:







1277961


Z00058245-1
PREDICTED:
U056292
XM_356744.1




Mus musculus




similar to Ac2-



008



(LOC382906),



mRNA


Z00059003-1
slit homolog 2
U005564
NM_178804.2
AF074960
MGI:



(Drosophila)



1315205


Z00009502-1
heat shock
U006295
NM_013560.1
AF047377
MGI:



protein 1



96240


Z00034606-1
KDEL (Lys-Asp-
U006405
NM_025841.1
AJ278133



Glu-Leu)



endoplasmic



reticulum protein



retention



receptor 2


Z00020266-1
ADP-
U015265
NM_172595.1
AK039965



ribosylation



factor related



protein 2


Z00060766-1
RIKEN cDNA
U021785
NM_020588.1
AB041592



1300007B12



gene


Z00038671-1
DNA segment,
U026739
NM_144819.1
AK028192



Chr 5, Brigham



& Women's



Genetics 0834



expressed


Z00056132-1
Wiskott-Aldrich
U027087
NM_028459.1
AJ318416
MGI:



syndrome-like



1920428



(human)


Z00024939-1
interferon
U029451
NM_016850.1
AK002830



regulatory factor 7


Z00015996-1
A kinase
U042535
NM_009649.1
AF033274
MGI:



(PRKA) anchor



1306795



protein 2


Z00068882-1
PREDICTED:
U092058
XM_488625.1




Mus musculus




LOC432634



(LOC432634),



mRNA


Z00066890-1
BY122082
U149831



RIKEN full-



length enriched,



adult male brain




Mus musculus




cDNA clone



L630004J03


Z00055441-1
ATPase, H+
U017709
NM_025272.2
AK007610
MGI:



transporting, V0



1328318



subunit


Z00005843-1
anterior pharynx
U021958

AK178736



defective 1a



homolog (C. elegans)


Z00043229-1
RIKEN cDNA
U023361
XM_485067.1
AK011170



2600009E05



gene


Z00007361~1
RIKEN cDNA
U024673

AK033781



E130014J05



gene


Z00035126-1
Wiskott-Aldrich
U027087
NM_028459.1
AJ318416



syndrome-like



(human)


Z00060705-1
CD2-associated
U037819
NM_009847.2
AF077003



protein


Z00067827-1

U076078


Z00030081~1


Z00063055-1

Mus musculus

U009314

AB120968



cDNA clone



IMAGE: 1428932


Z00023416-1
tumor necrosis
U025864
NM_178931.2
AF515707



factor receptor



superfamily,



member 14



(herpesvirus



entry mediator)


Z00021381-1
glycerol kinase
U039513
NM_008194.2
AK008186


Z00022714-1
gene rich cluster,
U007393
NM_145130.1
AK083687



C3f gene


Z00024151-1
RAS protein-
U010844
NM_011245.1
AF169826



specific guanine



nucleotide-



releasing factor 1


Z00011773-1
a disintegrin-like
U012555

AK084657



and



metalloprotease



(reprolysin type)



with



thrombospondin



type 1 motif, 2


Z00035615-1
cordon-bleu
U032518
NM_172496.2
AK028833


Z00066214-1


Z00043624-1
chromatin
U002691
NM_029362.2
AK008205



modifying



protein 4B


Z00040734-1
RIKEN cDNA
U002126
XM_130287.6
AK014169



4930432B04



gene


Z00026828-1

Mus musculus

U019314
NM_183160.1
AK086895



hypothetical



protein



E030010A14



(E030010A14),



mRNA


Z00055606-1
testis specific X-
U020099
NM_009440.1
AK018925



linked gene


Z00008080-1
protein kinase C
U023664
NM_027230.2
AB093284



binding protein 1


Z00057842-1
neuronal
U130883
NM_016789.2
AF049124



pentraxin 2


Z00025293-1
growth
U127722
NM_008107.2
AK053885



differentiation



factor 1


Z00030376-1
RIKEN cDNA
U018482
NM_026529.2
AK011228



2700062C07



gene


Z00049596-1
RIKEN cDNA
U036369
NM_177820.2
BC038135



9130218O11



gene


Z00054220-1
DnaJ (Hsp40)
U000470
NM_020266.1
AB028858



homolog,



subfamily B,



member 10


Z00016776-1
Sjogren
U001875
NM_009278.1
AK017822



syndrome



antigen B


Z00026542-1
RIKEN cDNA
U002357
NM_177054.3
AK080364



D130060C09



gene


Z00036665-1
ATPase, Ca++-
U031277
NM_175025.2
AJ551270



sequestering


Z00018373-1
MAD homolog 4
U038549
NM_008540.2
AK004804



(Drosophila)


Z00019928-1
RIKEN cDNA
U025841
XM_131865.5
AK052224



330010C22 gene


Z00009274-1
sulfatase 2
U023667
XM_358343.2
AK008108


Z00032201-1

U025166


Z00040312-1
ABI gene family,
U033309
NM_025659.1
AK008928



member 3


Z00057502-1
zinc finger, HIT
U038703
NM_013859.2
AF119498



domain



containing 2


Z00070092-1


Z00006417-1

Mus musculus

U032915
NM_018805.1
AF168992



heparan sulfate



(glucosamine) 3-



0-



sulfotransferase



3B1 (Hs3st3bl),



mRNA


Z00006170-1
copine III
U051430
NM_027769.1
AK017357


Z00024368-1
solute carrier
U004714
NM_008135.1
AK014572



family 6



(neurotransmitter



transporter,



glycine), member 9


Z00036435-1
protocadherin
U018601
NM_001003671.1
AB008178



alpha 11









These results were confirmed by real-time quantitative RT-PCR analysis of 15,000 additional crypts microdissected from an additional 12 LOI(+) and 9 LOI(−) mice (FIG. 2A). The expected doubling of Igf2 mRNA levels was also confirmed in LOI(+) mice (FIG. 2A). The top ranking genes showing altered expression with LOI included: Cdc6, 1.55-fold (P=0.003), an essential licensing factor leading to initiation of DNA replication and onset of S-phase (Dutta (1997); Coleman (1996)); Mcm5, 1.47-fold (P=0.007) and Mcm3, 1.49-fold (P=0.002), both required for DNA replication at early S-phase (18, 19); Chaf1a, 1.61-fold (P=0.009), which assembles the histone octamer onto replicating DNA (20); Lig1, 1.54-fold (P=0.008), DNA ligase involved in joining Okazaki fragments during DNA replication (Tomkinson and Mackey, Mutat Res (1998) 407:1-9); and Ccne1, 1.38-fold (P=0.04), which stimulates replication complex assembly by cooperating with Cdc6 (Coverley et al., Nat Cell Biol (2992) 4:523-528)) (FIG. 2A, Table 4, supra).









TABLE 7





Target genes of Wnt/b-catenin Signaling.*




























Mean
Mean




Smooth
Final




Feature ID
AverIntensity
(H19wt,)
(H19mut,)
Var(Factor)
LogRatio
FoldChange
VarCErr)
VarCErr)
MSE
t
P





Z00070655-1
3.8407
3.8819
3.7995
0.0102
−0.08247
0.82706
0.01105
0.00297
0.01105
0.961
0.33645


Z00035133-1
3.5589
3.5405
3.5774
0.00204
0.03683
1.08851
0.00055
0.00232
0.00232
0.936
0.34913


Z00025419-1
2.5
2.5
2.5
0
0
1
0.00174
0.00174
0.00174
0
1


Z00000758-1
3.7889
3.6935
3.8842
0.05452
0.19065
1.55112
0.01252
0.00285
0.01252
2.087
0.03704


Z00005043-1
3.8149
3.8284
3.8015
0.00108
−0.02687
0.94001
0.00068
0.00297
0.00297
0.603
0.54607


Z00025624-1
2.6509
2.6477
2.654
0.00006
0.00636
1.01476
0.00081
0.00171
0.00171
0.188
0.85071


Z00054794-1
3.2751
3.298
3.2521
0.00317
−0.04597
0.89957
0.00022
0.00199
0.00199
1.263
0.20654


Z00034025-1
3.6261
3.6211
3.631
0.00015
0.00993
1.02313
0.00207
0.00254
0.00254
0.242
0.80917


Z00018618-1
4.3576
4.3637
4.3515
0.00022
−0.01223
0.97223
0.01036
0.00432
0.01036
0.147
0.88287


Z00007066-1
2.7941
2.7672
2.821
0.00433
0.05375
1.13174
0.00179
0.00156
0.00179
1.555
0.11989


Z00056012-1
2.5799
2.6095
2.5503
0.00525
−0.05918
0.87262
0.00294
0.00151
0.00294
1.336
0.18138


Z00063293-1
3.14
3.1377
3.1424
0.00003
0.00467
1.01082
0.0074
0.00208
0.0074
0.067
0.94704


Z00005927-1
2.8612
2.8599
2.8625
0.00001
0.00263
1.00607
0.00861
0.00166
0.00861
0.035
0.97245


Z00049448-1
2.5145
2.5246
2.5044
0.00061
−0.02019
0.95458
0.00174
0.00174
0.00174
0.592
0.55352


Z00070277-1
2.9362
2.9683
2.904
0.00622
−0.06439
0.86221
0.00035
0.00168
0.00168
1.922
0.05474


Z00006481-1
2.5
2.5
2.5
0
0
1
0.00174
0.00174
0.00174
0
1


Z00022486-1
2.5202
2.5361
2.5042
0.00153
−0.03196
0.92905
0.00174
0.00174
0.00174
0.938
0.34818


Z00025428-1
3.0797
3.0803
3.0792
0
−0.00102
0.99766
0.00607
0.00179
0.00607
0.016
0.98768


Z00023879-1
2.9723
2.9785
2.9661
0.00023
−0.01245
0.97174
0.00023
0.00167
0.00167
0.373
0.70921


Z00024437-1
2.5
2.5
2.5
0
0
1
0.00174
0.00174
0.00174
0
1


Z00016127-1
3.925
3.9215
3.9285
0.00007
0.00704
1.01634
0.00222
0.0033
0.0033
0.15
0.88066


Z00056008-1
3.4324
3.4364
3.4284
0.0001
−0.00799
0.98177
0.00014
0.00238
0.00238
0.201
0.84087


Z00023582-1
2.927
2.941
2.9129
0.00119
−0.02813
0.93727
0.00065
0.0017
0.0017
0.836
0.403


Z00024414-1
2.5
2.5
2.5
0
0
1
0.00174
0.00174
0.00174
0
1


Z00063460-1
3.0249
3.0409
3.009
0.00153
−0.03191
0.92916
0.00021
0.00185
0.00185
0.908
0.36353


Z00059537-1
2.7353
2.7572
2.7134
0.00288
−0.04381
0.90405
0.00211
0.0016
0.00211
1.167
0.24304


Z00005762-1
3.0472
3.0891
3.0053
0.01052
−0.08375
0.82461
0.00631
0.00173
0.00631
1.291
0.19648


Z00011562-1
3.4221
3.4033
3.4408
0.0021
0.03745
1.09006
0.00378
0.00214
0.00378
0.746
0.45552


Z00035530-1
2.8214
2.8025
2.8404
0.00216
0.03793
1.09126
0.00045
0.00165
0.00165
1.145
0.25197


Z00005284-1
2.8397
2.852
2.8275
0.0009
−0.02455
0.94503
0.00148
0.00166
0.00166
0.737
0.46098


Z00005278-1
2.5
2.5
2.5
0
0
1
0.00174
0.00174
0.00174
0
1


Z00021747-1
3.6315
3.577
3.6861
0.01787
0.10916
1.28576
0.00364
0.00252
0.00364
2.216
0.02682


Z00064485-1
2.7883
2.7869
2.7896
0.00001
0.00268
1.00618
0.00077
0.00167
0.00167
0.08
0.93604


Z00060217-1
4.6201
4.6625
4.5778
0.01076
−0.08468
0.82285
0.01398
0.00504
0.01398
0.877
0.38024


Z00009098-1
3.1298
3.1561
3.1035
0.00416
−0.05264
0.88585
0.01273
0.00193
0.01273
0.571
0.56767


Z00056888-1
4.0212
4.0492
3.9933
0.00469
−0.05594
0.87915
0.02324
0.00336
0.02324
0.449
0.65307


Z00034803-1
3.5785
3.5774
3.5796
0.00001
0.00213
1.00491
0.00103
0.00224
0.00224
0.055
0.95645


Z00040077-1
3.0751
3.0929
3.0573
0.00189
−0.03552
0.92146
0.00198
0.00179
0.00198
0.979
0.32747


Z00006752-1
3.4264
3.4585
3.3944
0.00616
−0.06407
0.86284
0.00657
0.00233
0.00657
0.968
0.33304


Z00066290-1
3.8479
3.8443
3.8515
0.00008
0.00721
1.01674
0.00371
0.00309
0.00371
0.145
0.8848


Z00005267-1
2.6653
2.6694
2.6612
0.0001
−0.00811
0.98149
0.00133
0.00161
0.00161
0.248
0.80426


Z00025191-1
2.5
2.5
2.5
0
0
1
0.00174
0.00174
0.00174
0
1


Z00055146-1
3.4659
3.4756
3.4562
0.00057
−0.01943
0.95624
0.01797
0.00232
0.01797
0.178
0.85916


Z00031571-1
2.5874
2.5917
2.5832
0.00011
−0.00858
0.98045
0.00231
0.00157
0.00231
0.219
0.82689


Z00036230-1
3.5693
3.5754
3.5631
0.00023
−0.01231
0.97206
0.0076
0.00221
0.0076
0.173
0.86264


Z00036351-1
3.1642
3.0925
3.2359
0.03088
0.14347
1.39147
0.00099
0.00186
0.00186
4.071
0.00005













0.068


Z00020448-1
3.1711
3.1944
3.1477
0.00327
−0.04671
0.89803
0.00053
0.00186
0.00186
1.326
0.18455

























Gene











Index






gene

‘U’
RefSeq
GenBank



Feature ID
FDR
rank
Symbol
Annotation
Cluster
Acc
Acc
MG1







Z00070655-1
1
8603
Atoh1
atonal
U006955
NM_007500.2
AK082354
MGM







homolog 1



04654







(Drosophila)



Z00035133-1
1
9000
Axin1
axin 1
U017701
NM_009733.1
AF009011



Z00025419-1
1
35958
Axin2
axin2
U013488
NM_015732.3
AF073788
MGM











270862



Z00000758-1
1
1052
Birc5
baculoviral
U013607
NM_001012272.1
AB013819
MGM







IAP



203517







repeat-







containing 5



Z00005043-1
1
15338
Bmp4
bone
U035456
NM_007554.1
BC013459
MG1: 88180







morphogenetic







protein 4



Z00025624-1
1
27973
Cckbr
cholecystokinin B
U008562
NM_007627.2
AF019371
MG1: 99479







receptor



Z00054794-1
1
5049
Cckbr
cholecystokinin B
U008562
NM_007627.2
AF019371
MG1: 99479







receptor



Z00034025-1
1
26054
Ccnd1
cyclin D1
U068737
NM_007631.1
AK005352
MG1: 88313



Z00018618-1
1
29547
Ccnd2
cyclin D2
U201255

AK009602
MG1: 88314



Z00007066-1
1
2867
Ccnd3
cyclin D3
U018061
NM_007632.1
AK020317



Z00056012-1
1
4411
Ccnd3
cyclin D3
U018061
NM_007632.1
AK020317



Z00063293-1
1
32629
Cd44
CD44
U069452
NM_009851.1
AJ251594
MG1: 88338







antigen



Z00005927-1
1
33868
Cd44
CD44
U069452
NM_009851.1
AJ251594
MG1: 88338







antigen



Z00049448-1
1
15587
Cd44
CD44
U069452
NM_009851.1
AJ251594
MG1: 88338







antigen



Z00070277-1
1
1452
Cldn1
claudin 1
U036934
NM_016674.2
AF072127



Z00006481-1
1
36698
Dkk1
dickkopf
U038966
NM_010051.2
AF030433
MG1: 1329040







homolog 1







(Xenopus








laevis)




Z00022486-1
1
8965
Edn1
endothelin 1
U014767
NM_010104.2
AB081657
MG1: 95283



Z00025428-1
1
34646
Edn2
endothelin 2
U004747
NM_007902.1
BC037042
MG1: 95284



Z00023879-1
1
21787
Edn3
endothelin 3
U002932
NM_007903.2
AK046164



Z00024437-1
1
40183
Ephb1
Eph
U031251
NMJ73447.2
AK033966
MGM







receptor



096337







B1



Z00016127-1
1
29421
Ephb2
Eph
U025671
NM_010142.1
BC043088
MG1: 99611







receptor







B2



Z00056008-1
1
27515
Ephb2
Eph
U025671
NM_010142.1
BC043088
MG1: 99611







receptor







B2



Z00023582-1
1
10594
Fgf18

Mus

U032640
NM_008005.1
AB004639
MG1: 1277980








musculus








fibroblast







growth







factor 18







(Fgf18),







mRNA



Z00024414-1
1
38241
Fgf20
fibroblast
U029749
NM_030610.1
AB049218







growth







factor 20



Z00063460-1
1
9420
Fgf20
fibroblast
U029749
NM_030610.1
AB049218







growth







factor 20



Z00059537-1
1
5966
Fosl1
fos-like
U038721
NM_010235.1
BC052917
MG1: 107179







antigen 1



Z00005762-1
1
4785
Fosl1
fos-like
U038721
NM_010235.1
BC052917
MG1: 107179







antigen 1



Z00011562-1
1
12278
Id2
inhibitor of
U033848
NM_010496.2
AK003222
MG1: 96397







DNA







binding 2



Z00035530-1
1
6205
Jun
Jun
U025271
NM_010591.1
AK178729
MG1: 96646







oncogene



Z00005284-1
1
12446
L1cam
L1 cell
U039460
NM_008478.2
AJ627046
MG1: 96721







adhesion







molecule



Z00005278-1
1
37193
Lef1
lymphoid
U003857
NM_010703.2
AK018038
MG1: 96770







enhancer







binding







factor 1



Z00021747-1
1
830
Met
met proto-
U042722
NM_008591.1
M33424
MG1: 96969







oncogene



Z00064485-1
1
32098
Met
met proto-
U042722
NM_008591.1
M33424
MG1: 96969







oncogene



Z00060217-1
1
9908
Mmp7
matrix
U010024
NM_010810.1
AY622968
MG1: 103189







metalloproteinase 7



Z00009098-1
1
16132
Myc
myelocyto
U016291
NM_010849.2
AF076523
MG1: 97250







matosis







oncogene



Z00056888-1
1
19412
Myc
myelocyto
U016291
NM_010849.2
AF076523
MG1: 97250







matosis







oncogene



Z00034803-1
1
33077
Mycbp,
c-myc
U153101
NM_017475.1
AB015858
MGM891750






Rragc
binding







protein



Z00040077-1
1
8339
C130076O07Rik
RIKEN
U013910
NMJ76930.2
AJ543321







cDNA







C130076O07







gene



Z00006752-1
1
8492
Plaur
urokinase
U007797
NM_011113.2
AK002580
MG1: 97612







plasminogen







activator







receptor



Z00066290-1
1
29625
Ppard
peroxisome
U017743
NM_011145.2
AK007468
MG1: 101884







proliferator







activator







receptor







delta



Z00005267-1
1
25835
Ppard
peroxisome
U017743
NM_011145.2
AK007468
MG1: 101884







proliferator







activator







receptor







delta



Z00025191-1
1
36947
Sox9
SRY-box
U013510
NM_011448.2
AF421878







containing







gene 9



Z00055146-1
1
28374
Sox9
SRY-box
U013510
NM_011448.2
AF421878







containing







gene 9



Z00031571-1
1
26860
Tcf1
transcription
U026615
NM_009327.1
BC080698
MG1: 98504







factor 1



Z00036230-1
1
28553
Tcf4
transcription
U018867
NM_013685.1
AK014343
MG1: 98506







factor 4



Z00036351-1
87
29
Tiam1
T-cell
U037282
NM_009384.1
AK015851







lymphoma







invasion







and







metastasis 1



Z00020448-1
1
4505
Vegfa
vascular
U043884
NM_009505.2
AK031905
MG1: 103178







endothelial







growth







factor A







*Among 36 genes, only Tiam 1 showed a P value lower than 0.0001, and the other 35 genes did not show a significant difference between LOI(−) and LOI(+).






Four LOI(+) and four LOI(−) mice were also treated with NVP-AEW541 to inhibit IGF2 signaling, at a dose of 50 mg/kg by oral gavage daily for 3 weeks (twice daily except daily on weekends). NVP-AEW541 is an ATP-competitive inhibitor of IGF-IR which blocks signaling at the IGF1 receptor, which mediates IGF2 signaling (Garcia-Echeverria et al., Cancer Cell (2004) 5:231-239). That NVP-AEW541 blocks IGF2 at IGF1R in vitro (FIG. 9) was also confirmed. Interestingly, NVP-AEW541 had a dramatic effect on expression of proliferation-related genes in LOI(+) crypts, with reduction to levels even lower than those seen in LOI(−) crypts (5 of 6 genes statistically significant): Cdc6, 0.49-fold (P=0.048); Mcm5, 0.48-fold (P=0.007); Mcm3, 0.65-fold (P=0.1); Chaf1a, 0.42-fold (P=0.010); Lig1, 0.42-fold (P=0.029); and Ccne1, 0.57-fold (P=0.030)(FIG. 2B). Thus, LOI-induced changes in proliferation-related gene expression were mediated, at least in part, through IGF2 signaling itself. The drug-induced decrease in the expression of proliferation-related genes did not occur simply due simply to changes in numbers of proliferating crypt cells, because there were approximately the same number of cells in this short term treatment.


These results imply that LOI causes a specific alteration in replication-associated gene expression in intestinal epithelium. Nevertheless, increased expression of some genes not associated with DNA replication per se was observed. For example, Card11 (1.44-fold, P=0.04; FIG. 11) is an anti-apoptotic gene acting through phosphorylation of BCL10 and induction of NF-κB (Narayan et al., Mol Cell Biol (2006) 26:2327-2336). Expression of Msi1 was also analyzed by real-time PCR, as the encoded progenitor cell marker Musashi-1 showed increased immunostaining in previous studies. Expression of Msi1 was also significantly increased (1.49-fold, P=0.01, FIG. 11), supporting a pleiotropic mechanism for IGF2 in LOI. In addition, several genes showed down regulation in LOI(+) crypts (Table 2, supra), including p21 (0.55-fold, P=0.007, FIG. 11), an inhibitor of cell cycle progression (Gartel et al., Proc Soc Exp Biol Med (1996) 213:138-149).


Example 5
Enhanced Sensitivity of the IGF2 Signaling Network in LOI

The in vivo experiments described led to the determination of whether LOI(+) cells have differential sensitivity to IGF2 and the NVP-AEW541 where a high throughput signal transduction assay was performed based on an immunostaining automation device comprising microfluidic chambers housing multiple cells. An advantage of the microfluidic chip is that all the cells can be cultured simultaneously in the same chip and under internally controlled conditions, with precise determination of the cell micro-environment over the time of the experiment and subsequent analysis, allowing a much larger number of measurements than would be possible by conventional means. The device was constructed within a monolithic 2-layer PDMS chip sealed with a glass coverslip, with defined media delivery controlled by a multiplexed system of valves. Signaling of Akt/PKB and Erk2, two canonical signaling pathways activated by IGF2, was also examined, having derived for this purpose mouse embryo fibroblast (MEF) lines from LOI(+) and LOI(−) embryos. Live LOI(+) and LOI(−) cells were stimulated with varying doses of IGF2, for varying periods of time, fixed and processed for Akt/PKB measurements, with all steps performed within the chip.


For each cell type, IGF2 concentration, and time point, at least 200 individual cellular measurements were obtained by digital imaging and analysis, providing ample information for statistically significant evaluation of both the average response and cell-cell variability. The results were consistent in chip-to-chip variation analysis, with two chips used for each cell line. As a read-out we used immunostaining of the nuclear phosphorylated Akt (Ser 473) due to its nuclear activity in regulation of FOXO (Shao et al., Embo J (1999) 18:1397-1406) and other proteins controlling cell cycle progression, as well as possible interactions with modifiers of histone modulation (Garcia Esheverria et al., Cancer Cell (20040) 5:231-239).


IGF2 triggered a transient Akt activation signal (peak at 10 to 40 minutes followed by a return to the baseline within 90 min.) in LOI(−) cells (FIG. 8A) at all concentrations tested (400, 800, and 1600 ng/ml), comparable to levels used to support mouse fetal liver hematopoietic stem cells (500-1000 ng/ml) (Zhang and Lodish (2004)). In contrast, when subjected to the lowest (400 ng/ml) IGF2 concentration, LOI(+) cells showed markedly sustained Akt activation (>120 minutes), which increased steadily over time after stimulation (FIG. 8A). At higher IGF2 doses, the Akt signal in LOI(+) cells became progressively more transient and less pronounced (FIG. 8A). Furthermore, if NVP-AEW541 was added alongside IGF2, the Akt activation was inhibited to the baseline levels in LOI(−) cells and significantly below the baseline in LOI(+) cells (FIG. 8B). Signaling differences in Erk2 between LOI(−) and LOI(+), though statistically significant, were very small compared to the effect of LOI on Akt activation (FIG. 8C), suggesting that Akt has a particularly important role in IGF2 response in these cells. These results demonstrate that Akt response in LOI(+) cells has enhanced sensitivity to IGF2 at lower doses as well as hypersensitivity to IGF1R inhibition.


One potential mechanism of this hypersensitivity might be based on differential expression of the components of the underlying signaling network, e.g., the IGF1 receptor, which is the primary signaling receptor for IGF2, or members of the insulin receptor family sensitive to IGF2 (33). The expression of Igf1r, Igf2r, whose protein product is a sink for IGF2, and Insr, in MEFs showing the altered signaling response was analyzed. Strikingly, a doubling of Igf1r expression and Insr in LOI(+) cells (FIG. 8D) was observed. Although, the reasons for altered expression of Igf1r and Insr are not clear at this point, this change in the expression of these receptors provides an intriguing model for alterations in signaling sensitivity in LOI.


Example 6
LOI Increases Premalignant Lesion Formation in the AOM/LOI Model, which Shows Enhanced Sensitivity to IGF2 Signaling Inhibition

Based on these results, it was of interest to determine whether IGF2 signaling inhibition would inhibit in vivo carcinogenesis, or even show an enhanced chemopreventive effect. Treatment with NVP-AEW541 requires twice daily gavage, and Min mice develop lesions over a longer period of time than was practical for use of this drug. In addition, a limitation of the Min model is that it does not reflect the human situation, in which LOI occurs in normal cells before the Apc mutation is present (Cui et al., Nat Med (1998) 4:1276-1280). Accordingly, the azoxymethane (AOM) model was used in which the carcinogen is administered postnatally, and premalignant lesions termed aberrant crypt foci (ACF) appear 5 weeks after the first dose. An additional advantage is that the AOM is a widely studied rodent colon cancer model (Bissahoyo et al., Toxicol Sci (2005) 88:340-345; Bird (1987)).


Eight LOI(+) and 14 LOI(−) mice were given AOM intraperitoneally weekly for 3 weeks, sacrificed at 5 weeks after the first dose, and ACFs were scored as described (Bird (1987)). Histologic examination of colons from AOM-treated mice confirmed the presence of ACFs, with hyperproliferative features including increased mitosis, crypt enlargement and crypt disarray (FIG. 14A, B). LOI(+) mice showed 19.8±2.2 ACF per colon, compared to 12.4±0.9 ACF per colon in LOI(−) mice, a 60% increase (P=0.002; FIG. 14A).


An additional 9 LOI(+) mice and 9 LOI(−) control littermates to AOM were similarly exposed, adding treatment with NVP-AEW541 to inhibit IGF2 signaling, at a dose of 50 mg/kg by oral gavage daily for 6 weeks (twice daily except daily on weekends), starting one week prior to AOM administration. LOI(−) mice showed no difference in ACF formation after NVP-AEW541 drug treatment (11.3±1.6, N.S.; FIG. 14A). Surprisingly, LOI(+) mice showed a striking reduction in AOM-induced ACF formation after NVP-AEW541 treatment (7.8±1.2, P=0.0002; FIG. 14A), significantly lower even than that seen in LOI(−) AOM-treated mice (P=0.007).


Since LOI also leads to an increase in birth weight and therefore potentially in the size of the colon, the number of ACFs to colon surface area was normalized. A similar increase in ACFs in LOI(+) mice, 59% (P=0.004) was observed, as was a similar decrease in LOI(+) mice treated with the inhibitor, 56% (P=0.0008), but there was no decrease in ACFs with inhibitor in LOI(−) mice (FIG. 14B). Thus, LOI of Igf2 increased the sensitivity to AOM through an IGF1R-dependent mechanism, and LOI(+) mice were more sensitive to the effects of IGF1R blockade than were LOI(−) mice.


An additional intriguing finding in AOM-treated LOI(+) mice was cystically dilated crypts lined by enlarged cells with atypical nuclei and containing necrotic debris, that were reminiscent of sessile serrated adenomas (SSAs) seen in the human colon (SI FIG. 13C,D). SSAs also show crypt dilatation in association with cytologic atypia and are currently of immense interest for their recently recognized association with colorectal cancer (Sonver et al. (2005)).


Although the invention has been described with reference to the above examples, it will be understood that modifications and variations are encompassed within the spirit and scope of the invention. Accordingly, the invention is limited only by the following claims.


Since it was reported that IGF2 caused relocation of β-catenin to the nucleus in vitro and activated transcription of target genes of the β-catenin/TCF4 complex, (Morali et al., Oncogene (2001) 20:4942-4950)) whether Wnt signaling is activated in LOI(+) intestinal crypts was determined. However, among 36 target genes of Wnt/β-catenin signaling, only Tiam1, a Wnt-responsive Rac GTPase activator (Malliri et al., J Biol Chem (2006) 281:543-548), showed a P value lower than 0.0001, and the other 35 genes did not show significant differences between LOI(−) and LOI(+) crypts (Table 7, supra). Furthermore, no significant increase was detected in real-time RT-PCR of Tiam1 (1.16-fold, P=0.5), nor was the well known target gene Axin2 (Yan et al., Proc Natl Acad Sci USA (2001) 98:14973-14978; Vogt et al., Cell Cycle (2005) 4:908-913 29) (1.19-fold, P=0.4) (FIG. 10). Thus activation of Wnt signaling does not appear to be involved in the increase of progenitor cells in LOI(+) crypts.

Claims
  • 1. A method of preventing tumor development in a subject, wherein the subject aberrantly expresses insulin-like growth factor 2 (IGF2) due to loss of imprinting (LOI), comprising administering an inhibitor of signal pathway activation by IGF2.
  • 2. The method of claim 1, wherein the subject is at risk of developing colorectal cancer (CRC) as compared with a subject not having LOI in IGF2.
  • 3. The method of claim 1, wherein the inhibitor is selected from the group consisting of a tyrphostin, a pyrrolo[2,3-d]-pyrimidine, a monoclonal antibody and a combination thereof.
  • 4. The method of claim 3, wherein the tyrophostin is AG538 or AG1024.
  • 5. The method of claim 1, further comprising administering a chemotherapeutic agent selected from the group consisting of Aclacinomycins, Actinomycins, Adriamycins, Ancitabines, Anthramycins, Azacitidines, Azaserines, 6-Azauridines, Bisantrenes, Bleomycins, Cactinomycins, Carmofurs, Carmustines, Carubicins, Carzinophilins, Chromomycins, Cisplatins, Cladribines, Cytarabines, Dactinomycins, Daunorubicins, Denopterins, 6-Diazo-5-Oxo-L-Norleucines, Doxifluridines, Doxorubicins, Edatrexates, Emitefurs, Enocitabines, Fepirubicins, Fludarabines, Fluorouracils, Gemcitabines, Idarubicins, Loxuridines, Menogarils, 6-Mercaptopurines, Methotrexates, Mithramycins, Mitomycins, Mycophenolic Acids, Nogalamycins, Olivomycines, Peplomycins, Pirarubicins, Piritrexims, Plicamycins, Porfiromycins, Pteropterins, Puromycins, Retinoic Acids, Streptonigrins, Streptozocins, Tagafurs, Tamoxifens, Thiamiprines, Thioguanines, Triamcinolones, Trimetrexates, Tubercidins, Vinblastines, Vincristines, Zinostatins, and Zorubicins.
  • 6. The method of claim 1, wherein the inhibitor prevents the formation of aberrant crypt foci (ACF).
  • 7. A method of identifying an increased risk of developing colorectal cancer in a subject comprising: a) contacting a progenitor cell in a sample from a subject with insulin-like growth factor 2 (IGF2); andb) determining the sensitivity of the cell to IGF2 as determined by measuring a change in a signal pathway associated with DNA replication, DNA metabolism, cell cycling, apoptosis, and cell proliferation or by measuring a change in gene expression, protein levels, protein modification, or kinetics of protein modification; wherein an increase in the sensitivity of the progenitor cells to IGF2 correlates with increased risk of developing colorectal cancer.
  • 8. The method of claim 7, further comprising: c) determining gene expression changes between LOI positive (LOI(+)) and LOI negative (LOI(−)) progenitor cells, wherein the progenitor cells are associated with colorectal cancer;d) identifying genes which are overexpressed in the LOI(+) progenitor cells;e) contacting LOI (+) and LOI(−) cells with a mutagenic agent;f) contacting the cells of step (c) with a ligand which is aberrantly expressed due to loss of imprinting (LOI) of the gene encoding the ligand in the presence and absence of a test agent; wherein the ligand is associated with colorectal cancer; andg) determining the sensitivity of the LOI(+) and LOI(−) cells to the ligand in the presence and absence of the test agent.
  • 9. The method of claim 8, wherein the signal pathway is IRS-1/PI3K/AKT or GRB2/Ras/ERK pathway.
  • 10. The method of claim 9, further comprising determining the kinetics of modification of a AKT or ERK.
  • 11. The method of claim 10, wherein the modification of AKT or ERK is phosphorylation.
  • 12. The method of claim 7, wherein the change in gene expression is measured using one or more of the genes listed in Tables 3, 5, 6, and 7.
  • 13. The method of claim 7, further comprising contacting the cell with IGF2 in the presence of an inhibitor of IGF1 receptor, wherein a further decrease in signal pathway activation in the presence of the inhibitor correlates with increased risk of developing colorectal cancer.
  • 14. The method of claim 13, wherein the inhibitor is agent is selected from the group consisting of a tyrphostin, a pyrrolo[2,3-d]-pyrimidine, and a monoclonal antibody.
  • 15. The method of claim 14, wherein the inhibitor is a pyrrolo[2,3-d]-pyrimidine.
  • 16. The method of claim 13, wherein the signal pathway is IRS-1/PI3K/AKT or GRB2/Ras/ERK pathway.
  • 17. The method of claim 16, further comprising measuring the activation of Akt/PKB.
  • 18. A method for identifying an anti-neoplastic agent comprising: a) determining gene expression changes between LOI positive (LOI(+)) and LOI negative (LOI(−)) progenitor cells, wherein the progenitor cells are associated with a neoplastic disorder;b) identifying genes which are overexpressed in the LOI(+) progenitor cells;c) contacting LOI (+) and LOI(−) cells with a mutagenic agent;d) contacting the cells of step (c) with a ligand which is aberrantly expressed due to loss of imprinting (LOI) of the gene encoding the ligand in the presence and absence of a test agent; wherein the ligand is associated with the neoplastic disorder; ande) determining the sensitivity of the LOI(+) and LOI(−) cells to the ligand in the presence and absence of the test agent, wherein sensitivity is measured by determining changes in a signal pathway associated with DNA replication, DNA metabolism, cell cycling, apoptosis, and cell proliferation or by changes in gene expression, protein levels, protein modification, or kinetics of protein modification;wherein a decrease in the sensitivity of the LOI(+) cells to the ligand is inversely proportional to the anti-neoplastic activity of the agent.
  • 19. The method of claim 18, wherein the ligand is IGF2.
  • 20. The method of claim 18, wherein the neoplastic disorder is cancer.
  • 21. The method of claim 19, wherein the neoplastic disorder is colorectal cancer.
  • 22. The method of claim 18, wherein the agent reduces the sensitivity of signal transduction induced by the ligand via a cognate receptor for the ligand.
  • 23. The method of claim 18, wherein the mutagenic agent is a physical agent or chemical agent.
  • 24. The method of claim 18, wherein the test agent is chemical agent.
  • 25. The method of claim 24, wherein the chemical agent is selected from the group consisting of a tyrphostin, a pyrrolo[2,3-d]-pyrimidine, and a monoclonal antibody.
  • 26. The method of claim 18, wherein the cells are contained in a microfluidic chip.
  • 27. The method of claim 18, wherein the cells are contained in a non-human animal.
  • 28. The method of claim 18, wherein the signal pathway is IRS-1/PI3K/AKT or GRB2/Ras/ERK pathway.
  • 29. A method of assessing the efficacy of a chemotherapeutic regimen comprising: a) periodically isolating a progenitor cell in a sample from a subject receiving a chemotherapeutic;b) contacting the progenitor cell in the sample with insulin-like growth factor 2 (IGF2); andc) determining the sensitivity of the progenitor cell to IGF2, wherein sensitivity is measured by determining changes in a signal pathway associated with DNA replication, DNA metabolism, cell cycling, apoptosis, and cell proliferation; wherein a reduction of the progenitor cell to form aberrant crypt foci (ACF) correlates with the efficacy of the regimen.
PCT Information
Filing Document Filing Date Country Kind 371c Date
PCT/US07/86889 12/7/2007 WO 00 10/6/2010
Provisional Applications (1)
Number Date Country
60873830 Dec 2006 US