Microarray cDNA Dataset Analysis Reveals Potential Genes Associated with Type 2 Diabetes Mellitus for Further Treatment Exploration

Syed Aun Muhammad *

Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University (BZU), Multan, Pakistan.

Waseem Raza

Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University (BZU), Multan, Pakistan.

Saba Ghafoor

Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University (BZU), Multan, Pakistan.

Sania Sadeeq

Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University (BZU), Multan, Pakistan.

Syeda Zahra Abbas

Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University (BZU), Multan, Pakistan.

Sadaf Noor *

Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University (BZU), Multan, Pakistan.

*Author to whom correspondence should be addressed.


Abstract

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.

Keywords: DEGs, cluster analysis, PPI network, T2DM


How to Cite

Muhammad , Syed Aun, Waseem Raza, Saba Ghafoor, Sania Sadeeq, Syeda Zahra Abbas, and Sadaf Noor. 2023. “Microarray CDNA Dataset Analysis Reveals Potential Genes Associated With Type 2 Diabetes Mellitus for Further Treatment Exploration”. Asian Journal of Biochemistry, Genetics and Molecular Biology 14 (4):44-52. https://doi.org/10.9734/ajbgmb/2023/v14i4321.

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