Differential expression network analysis for diabetes mellitus type 2 based on expressed level of islet cells

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• 作者：Ying Cui^a ; Wen Chen^b ; Jinfeng Chi^a ; Lei Wang^c ; ^{leiwang1091@163.com" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Diabetes mellitus type 2 ; Differential expression network ; Profiling of complex functionality
• 刊名：Annales d'Endocrinologie
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：77
• 期：1
• 页码：22-29
• 全文大小：1118 K

文摘

Diabetes mellitus type 2 (T2DM) is a metabolic disease that has become a pressing issue, with potential adverse impact on mental health. We aimed to explore the potential molecular mechanism of T2DM.

Material and methods

GSE38642 microarray data downloaded from gene expression omnibus was used to identify the differentially expressed genes (DEGs). Profiling of complex functionality (ProfCom) was used to analyze the complex function and mine T2DM signature genes. Finally, the differential expression network (DEN) was constructed.

Results

We identified 147 DEGs including 59 up- and 88 down-regulated genes. With increasing of degree, the specificity of functional description of DEGs was higher. GO term of “integral to membrane and immune response (not receptor activity) not regulation of immune response” in degree 4 was enriched by 6 DEGs, while the GO term of “immune response” in degree 1 was enriched by 12 DEGs. Two complex functions of integral to membrane an immune response and response to glucose stimulus were enriched by 11 T2DM signature genes including ARG2, GLP1R, PFKFB2, PTPRN, ACSL5, CCR7, IL2RA, IL7R, IL1R2, IL1RL1 and CHST4. Finally, DEN including 11 signature genes and 491 edges was obtained.

Conclusion

The identified DEGs especially 11 signature genes such as PTPRN, GLP1R, CCR7 and IL2RA may play important roles in the pathogenesis of T2DM.