Cargando…
Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysis
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 genes (DEG...
Autores principales: | Pujar, Madhu, Vastrad, Basavaraj, Kavatagimath, Satish, Vastrad, Chanabasayya, Kotturshetti, Shivakumar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160069/ https://www.ncbi.nlm.nih.gov/pubmed/35650387 http://dx.doi.org/10.1038/s41598-022-13291-1 |
Ejemplares similares
-
Bioinformatics Analysis of Next Generation Sequencing Data Identifies
Molecular Biomarkers Associated With Type 2 Diabetes Mellitus
por: Alur, Varun, et al.
Publicado: (2023) -
Identification of candidate biomarkers and therapeutic agents for heart failure by bioinformatics analysis
por: Kolur, Vijayakrishna, et al.
Publicado: (2021) -
Bioinformatics and Next-Generation Data Analysis for Identification of Genes and Molecular Pathways Involved in Subjects with Diabetes and Obesity
por: Ganekal, Prashanth, et al.
Publicado: (2023) -
Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gestational diabetes mellitus
por: Alur, Varun, et al.
Publicado: (2021) -
Investigation of candidate genes and mechanisms underlying obesity associated type 2 diabetes mellitus using bioinformatics analysis and screening of small drug molecules
por: Prashanth, G., et al.
Publicado: (2021)