ArticleAnnals of translational medicine2020
Analysis of potential hub genes involved in the pathogenesis of Chinese type 1 diabetic patients.
Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 23 citations in OpenAlex.
- MS4A superfamily molecules in tumors, Alzheimer's and autoimmune diseases.Frontiers in immunology · 2024Review
- Exploring the shared molecular mechanisms between systemic lupus erythematosus and primary Sjögren's syndrome based on integrated bioinformatics and single-cell RNA-seq analysis.Frontiers in immunology · 2023Article
- Highly perturbed genes and hub genes associated with type 2 diabetes in different tissues of adult humans: a bioinformatics analytic workflow.Functional & integrative genomics · 2022Article
- Exploring the inverse association of glioblastoma multiforme and Alzheimer's disease via bioinformatics analysis.Medical oncology (Northwood, London, England) · 2022Article
- Signature RNAS and related regulatory roles in type 1 diabetes mellitus based on competing endogenous RNA regulatory network analysis.BMC medical genomics · 2021Article
- β-cell self-destruction and extremely complicated and still unknown etiopathogenesis of type 1 diabetes.Pediatric endocrinology, diabetes, and metabolism · 2021Review
- Exploring the Pathogenesis of Psoriasis Complicated With AtherosclerosisFrontiers in immunology · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundType 1 diabetes is an autoimmune disease strongly related to genetic factors. Although studies on T1D susceptibility genes have achieved great progress, the molecular mechanism of T1D remains to be explained.
methodsTo explore the underlying mechanisms of T1D, bioinformatic analysis based on a microarray database was used to determine the key biomarkers of T1D as well as their biofunctions and interactions. The microarray database GSE55100 was downloaded from the Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) were processed by packages in R Software. The database for Annotation, Visualization, and Integrated Discovery (DAVID, version 6.8) was used to conduct gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The protein-protein interaction network was analyzed with the Search Tool for the Retrieval of Interacting Genes (STRING), and the module analysis was performed using Cytoscape.
resultsSeventy-eight DEGs and 13 hub genes were identified. The biofunctions and pathways of these DEGs were enriched in immune response, extracellular exosome, cytokine activity and antigen processing and presentation. Thirteen DEGs with MCODE score ≥2 were selected as hub genes including
conclusionsThe identification and analyses of the DEGs and hub genes from database GSE55100 provide novel prospectives of the pathogenesis of T1D.
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