Bioinformatics and Next-Generation Data Analysis for Identification of Genes and Molecular Pathways Involved in Subjects with Diabetes and Obesity
Abstract
:1. Introduction
2. Materials and Methods
2.1. RNA Sequencing Data
2.2. Identification of DEGs
2.3. GO and Pathway Enrichment Analyses of DEGs
2.4. Protein–Protein Interaction (PPI) Network and Module Analysis
2.5. Target Gene–miRNARegulatory Network
2.6. Target Gene–TF Regulatory Network
2.7. Receiver Operating Characteristic (ROC) Analysis
3. Results
3.1. Identification of DEGs
3.2. GO and Pathway Enrichment Analyses of DEGs
3.3. Protein–Protein Interaction (PPI) Network and Module Analysis
3.4. Target Gene–miRNA Regulatory Network
3.5. Target Gene–TF Regulatory Network
3.6. Receiver Operating Characteristic (ROC) Analysis
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Ganekal, P.; Vastrad, B.; Kavatagimath, S.; Vastrad, C.; Kotrashetti, S. Bioinformatics and Next-Generation Data Analysis for Identification of Genes and Molecular Pathways Involved in Subjects with Diabetes and Obesity. Medicina 2023, 59, 309. https://doi.org/10.3390/medicina59020309
Ganekal P, Vastrad B, Kavatagimath S, Vastrad C, Kotrashetti S. Bioinformatics and Next-Generation Data Analysis for Identification of Genes and Molecular Pathways Involved in Subjects with Diabetes and Obesity. Medicina. 2023; 59(2):309. https://doi.org/10.3390/medicina59020309
Chicago/Turabian StyleGanekal, Prashanth, Basavaraj Vastrad, Satish Kavatagimath, Chanabasayya Vastrad, and Shivakumar Kotrashetti. 2023. "Bioinformatics and Next-Generation Data Analysis for Identification of Genes and Molecular Pathways Involved in Subjects with Diabetes and Obesity" Medicina 59, no. 2: 309. https://doi.org/10.3390/medicina59020309