The Gene Network Correlation Analysis of Obesity to Type 1 Diabetes and Cardiovascular Disorders: An Interactome-Based Bioinformatics Approach - D’Souza, Sharon Elaine; Khan, Kanwal; Jalal, Khurshid; Hassam, Muhammad; Uddin, Reaz (Molecular biotechnology, 2024)
Keywords: Biochemistry; Bioinformatics; Biological activity; Biological Techniques; Biotechnology; Cardiovascular Diseases - genetics; Cardiovascular Diseases - metabolism; Cell Biology; Chemistry; Chemistry and Materials Science; Computational Biology - methods; Coronary artery disease; Correlation analysis; Cost effectiveness; Crosslinking; Databases, Genetic; Diabetes; Diabetes mellitus; Diabetes mellitus (insulin dependent); Diabetes Mellitus, Type 1 - genetics; Diabetes Mellitus, Type 1 - metabolism; Disorders; drugs; early diagnosis; family; Gene expression; Gene Regulatory Networks; Genes; genetic databases; Glucagon; Glucuronosyltransferase; glucuronosyltransferases; Growth factors; guanosinetriphosphatase; Health services; Heart diseases; Human Genetics; Humans; insulin-dependent diabetes mellitus; Interleukin 6; Kinases; Medical treatment; Methylenetetrahydrofolate reductase; natriuretic peptides; Obesity; Obesity - genetics; Obesity - metabolism; Original Paper; Peptides; Precision medicine; Protein interaction; Protein Interaction Mapping; Protein Interaction Maps; protein kinases; Protein Science; Proteins; Rac1 protein; Reductases; resistin; Ryanodine receptors; Therapeutic targets; topology; UDP-glucuronosyltransferase; Vascular endothelial growth factor; vascular endothelial growth factor A; Obesity; Cardiovascular; Type 1 diabetes; Co-expression analysis; Interactome analysis