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Gene expression profiles stratified according to type 1 diabetes mellitus susceptibility regions. | LitMetric

AI Article Synopsis

  • The MHC region on chromosome 6 (6p21) is a key area linked to susceptibility for type 1 diabetes (T1D), along with other significant regions on chromosomes 1, 2, and 11 identified through genetic studies.
  • A large-scale analysis of gene expression in lymphomononuclear cells from T1D patients was conducted, revealing specific genes that were altered in the MHC and nearby regions.
  • The majority of these modulated genes are related to cellular functions like metabolism, transcription regulation, and signaling pathways, suggesting they could play a role in the development of diabetes.

Article Abstract

The MHC region (6p21) aggregates the major genes that contribute to susceptibility to type 1 diabetes (T1D). Three additional relevant susceptibility regions mapped on chromosomes 1p13 (PTPN22), 2q33 (CTLA-4), and 11p15 (insulin) have also been described by linkage studies. To evaluate the contribution of these susceptibility regions and the chromosomes that house these regions, we performed a large-scale differential gene expression on lymphomononuclear cells of recently diagnosed T1D patients, pinpointing relevant modulated genes clustered in these regions and their respective chromosomes. A total of 4608 cDNAs from the IMAGE library were spotted onto glass slides using robotic technology. Statistical analysis was carried out using the SAM program, and data regarding gene location and biological function were obtained at the SOURCE, NCBI, and FATIGO programs. Three induced genes were observed spanning around the MHC region (6p21-6p23), and seven modulated genes (5 repressed and 2 repressed) were seen spanning around the 6q21-24 region. Additional modulated genes were observed in and around the 1p13, 2q33, and 11p15 regions. Overall, modulated genes in these regions were primarily associated with cellular metabolism, transcription factors and signaling transduction. The differential gene expression characterization may identify new genes potentially involved with diabetes pathogenesis.

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Source
http://dx.doi.org/10.1196/annals.1447.064DOI Listing

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