Microarray cDNA Dataset Analysis Reveals Potential Genes Associated with Type 2 Diabetes Mellitus for Further Treatment Exploration
Syed Aun Muhammad, Waseem Raza, Saba Ghafoor, Sania Sadeeq, Syeda Zahra Abbas, Sadaf Noor
Asian Journal of Biochemistry, Genetics and Molecular Biology · pp. 44–52 · Published 18 Jul 2023
10.9734/ajbgmb/2023/v14i4321Abstract
Type 2 diabetes mellitus (T2DM) is an intricate and inadequately treatable metabolic disorder that requires modified treatment by identifying genetic variants as potential drug targets. In this study, we performed the system-level genetic analysis of the T2DM-related cDNA dataset and revealed 5 significant differentials expressed genes (DEGs) including ABRA, CYR61, NR4A1, KY, and TMEM131 as source genes. Among, these genes, 3 were down-regulated and 2 up-regulated. The biological function and gene ontology showed the association of these genes with cell apoptosis, cell communication, signal transduction, and insulin resistance. These genes are majorly expressed in multiple tissues specifically the brain, lungs, pancreas, and immune cells. The protein-protein network revealed the interaction of these source genes with important signature proteins including FOS, IGFN1, UBC, CTNB1, ITB5, JUN, HIF1A, p53, and other important genes. This study would be helpful to understand the etiology of T2DM and also improve the development of new drug treatments by identification of genes associated with T2DM.
Cited by 0
No indexed citations yet.
Related research
- Parental Diversity and Its Relationship with Performance of F1 Hybrid in Rice (Oryza sativa L.) — shares topic coverage
- Morphological Diversity and Cytological Studies in Some Accessions of Vigna vexillata (L.) A. Richard — shares topic coverage
- Application of Data Mining Techniques to Audiometric Data among Professionals in India — shares topic coverage
- Biochemical Characterization of Local Populations of Physalis minima L. Suggests Correlation between its Fruit and Medicinal Properties — shares topic coverage
- Evaluation of Greengram (Vigna radiata L.) Germplasm for Seed Yield and Yield Related Traits through Cluster Analysis — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.