Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysis
Abstract Type 1 diabetes mellitus (T1DM) is a metabolic disorder for which the underlying molecular mechanisms remain largely unclear. This investigation aimed to elucidate essential candidate genes and pathways in T1DM by integrated bioinformatics analysis. In this study, differentially expressed g...
Main Authors: | Madhu Pujar, Basavaraj Vastrad, Satish Kavatagimath, Chanabasayya Vastrad, Shivakumar Kotturshetti |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-06-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-13291-1 |
Similar Items
-
Bioinformatics Analysis of Next Generation Sequencing Data Identifies Molecular Biomarkers Associated With Type 2 Diabetes Mellitus
by: Varun Alur, et al.
Published: (2023-02-01) -
Bioinformatics and Next-Generation Data Analysis for Identification of Genes and Molecular Pathways Involved in Subjects with Diabetes and Obesity
by: Prashanth Ganekal, et al.
Published: (2023-02-01) -
Identification of biomarkers, pathways, and potential therapeutic targets for heart failure using next-generation sequencing data and bioinformatics analysis
by: Prashanth Ganekal, et al.
Published: (2023-04-01) -
Integrated bioinformatics analysis reveals novel key biomarkers in diabetic nephropathy
by: Harish Joshi, et al.
Published: (2022-11-01) -
Mining Featured Biomarkers Linked with Epithelial Ovarian CancerBased on Bioinformatics
by: Varun Chandra Alur, et al.
Published: (2019-04-01)