Elsevier

Genomics

Volume 81, Issue 4, April 2003, Pages 378-390
Genomics

Regular article
A search for candidate genes for lipodystrophy, obesity and diabetes via gene expression analysis of A-ZIP/F-1 mice

https://doi.org/10.1016/S0888-7543(03)00024-7Get rights and content

Abstract

Genome scans for diabetes have identified many regions of the human genome that correlate with the disease state. To identify candidate genes for type 2 diabetes, we examined the transgenic A-ZIP/F-1 mouse. This mouse model has no white fat, resulting in abnormal levels of glucose, insulin, and leptin, making the A-ZIP/F-1 mice a good model for lipodystrophy and insulin resistance. We used cDNA-based microarrays to find differentially expressed genes in four tissues of these mice. We examined these results in the context of human linkage scans for lipodystrophy, obesity, and type 2 diabetes. We combined 199 known human orthologs of the misregulated mouse genes with 33 published human genome scans on a genome map. Integrating expression data with human linkage results permitted us to suggest and prioritize candidate genes for lipodystrophy and related disorders. These genes include a cluster of 3 S100A genes on chromosome 1 and SLPI1 on chromosome 20.

Section snippets

Microarray analysis

Gene expression levels in four tissues of 7-month-old male A-ZIP/F-1 mice were compared to sex, age, and FVB/N strain-matched mice. The cDNA microarrays contained 11,382 PCR products for 5,110 named genes and 6272 ESTs. Total RNA from A-ZIP/F-1 and wildtype tissues were converted to cDNA and labeled with either cyanine-3 (Cy3) or cyanine-5 (Cy5) fluorescent dye. cDNAs from A-ZIP/F-1 and wildtype tissue were hybridized to microarrays, fluorescence intensity measured, and the ratio of Cy3 to Cy5

Discussion

Most success using genome scans to define genes involved in diabetes (diabetogenes) has come from examining the relatively rare, autosomal dominant form of the disease, maturity-onset diabetes of the young, for which the genetic lesion is a single locus [19], [20], [21]. In contrast, most forms of type II diabetes appear to be polygenic and are much more difficult to dissect genetically [1]. Large family and population studies examining genetic susceptibility to type II diabetes have identified

RNA isolation

Tissues from four 7-month-old male, heterozygous A-ZIP/F-1 and four equivalent wildtype controls (all FVB/N background) were collected. Mice had free access to food and water for approximately 12 h before being sacrificed by cervical dislocation. Tissues were quickly rinsed in physiological saline and flash frozen in liquid nitrogen. Entire hearts and livers were collected. Entire muscle tissue from both hind limbs was collected. Whole brain minus the cerebellum was collected. Frozen tissues

References (55)

  • R.M. Watanabe

    The Finland–United States investigation of non-insulin-dependent diabetes mellitus genetics (FUSION) study. II. An autosomal genome scan for diabetes-related quantitative-trait loci

    Am. J. Hum. Genet.

    (2000)
  • S.C. Elbein et al.

    Quantitative trait linkage analysis of lipid-related traits in familial type 2 diabetesevidence for linkage of triglyceride levels to chromosome 19q

    Diabetes

    (2002)
  • J. Hager

    A genome-wide scan for human obesity genes reveals a major susceptibility locus on chromosome 10

    Nat. Genet.

    (1998)
  • J.H. Lee

    Genome scan for human obesity and linkage to markers in 20q13

    Am. J. Hum. Genet.

    (1999)
  • M. Ohman

    Genome-wide scan of obesity in Finnish sibpairs reveals linkage to chromosome Xq24

    J. Clin. Endocrinol. Metab.

    (2000)
  • N.J. Cox

    Loci on chromosomes 2 (NIDDM1) and 15 interact to increase susceptibility to diabetes in Mexican Americans

    Nat. Genet.

    (1999)
  • T.H. Luo

    A genome-wide search for type II diabetes susceptibility genes in Chinese Hans

    Diabetologia

    (2001)
  • N. Vionnet

    Genomewide search for type 2 diabetes-susceptibility genes in French whitesevidence for a novel susceptibility locus for early-onset diabetes on chromosome 3q27–qter and independent replication of a type 2-diabetes locus on chromosome 1q21–q24

    Am. J. Hum. Genet.

    (2000)
  • A.G. Comuzzie

    A major quantitative trait locus determining serum leptin levels and fat mass is located on human chromosome 2

    Nat. Genet.

    (1997)
  • M.M. Mahtani

    Mapping of a gene for type 2 diabetes associated with an insulin secretion defect by a genome scan in Finnish families

    Nat. Genet.

    (1996)
  • C.R. Kahn et al.

    Genetics of non-insulin-dependent (type-II) diabetes mellitus

    Annu. Rev. Med.

    (1996)
  • C.L. Hanis

    A genome-wide search for human non-insulin-dependent (type 2) diabetes genes reveals a major susceptibility locus on chromosome 2

    Nat. Genet.

    (1996)
  • J. Moitra

    Life without white fata transgenic mouse

    Genes Dev.

    (1998)
  • S.R. Ross et al.

    Targeted expression of a toxin gene to adipose tissuetransgenic mice resistant to obesity

    Genes Dev.

    (1993)
  • I. Shimomura

    Insulin resistance and diabetes mellitus in transgenic mice expressing nuclear SREBP-1c in adipose tissuemodel for congenital generalized lipodystrophy

    Genes Dev.

    (1998)
  • C.R. Vinson et al.

    Dimerization specificity of the leucine zipper-containing bZIP motif on DNA bindingprediction and rational design

    Genes Dev.

    (1993)
  • O. Gavrilova

    Surgical implantation of adipose tissue reverses diabetes in lipoatrophic mice

    J. Clin. Invest.

    (2000)
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