ArticlePeerJ2019
Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 22 citations in OpenAlex.
- Integrative transcriptomic and systems biology analysis of public SLE datasets identifies immune regulatory pathways.Journal of computer-aided molecular design · 2026Article
- Integrative transcriptomics defines CD36 as a key regulator of immunometabolic signaling in acute myeloid leukemia.Genes & genomics · 2026Article
- Comprehensive analysis of IRF8-related genes and immune characteristics in lupus nephritis.Frontiers in pharmacology · 2024Article
- CD36 aggravates podocyte injury by activating NLRP3 inflammasome and inhibiting autophagy in lupus nephritis.Cell death & disease · 2022Article
- Weighted gene co-expression network analysis reveals prognostic and diagnostic significance ofJournal of gastrointestinal oncology · 2022Article
- Diagnostic test accuracy of novel biomarkers for lupus nephritis-An overview of systematic reviews.PloS one · 2022Review
- Identification of the Key Pathways and Genes in Hypoxia Pulmonary Arterial Hypertension Following Intrauterine Growth Retardation.Frontiers in molecular biosciences · 2022Article
- Identification of crucial genes that induce coronary atherosclerosis through endothelial cell dysfunction in AMI-identifying hub genes by WGCNA.American journal of translational research · 2022Article
- Identification of MEDAG as a Hub Candidate Gene in the Onset and Progression of Type 2 Diabetes Mellitus by Comprehensive Bioinformatics Analysis.BioMed research international · 2021Article
- Article
- Identification and Validation of IFI44 as Key Biomarker in Lupus Nephritis.Frontiers in medicine · 2021Article
- Screening lncRNAs with diagnostic and prognostic value for human stomach adenocarcinoma based on machine learning and mRNA-lncRNA co-expression network analysis.Molecular genetics & genomic medicine · 2020Article
- Crucial transcripts predict response to initial immunoglobulin treatment in acute Kawasaki disease.Scientific reports · 2020Article
- Identification of candidate genes in ischemic cardiomyopathy by gene expression omnibus database.BMC cardiovascular disorders · 2020Article
- Bioinformatics analysis to reveal key biomarkers for early and late hepatocellular carcinoma.Translational cancer research · 2020Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lupus nephritis (LN) is a severe manifestation of systemic lupus erythematosus (SLE), which often progresses to end-stage renal disease (ESRD) and ultimately leads to death. At present, there are no definitive therapies towards LN, so that illuminating the molecular mechanism behind the disease has become an urgent task for researchers. Bioinformatics has become a widely utilized method for exploring genes related to disease. This study set out to conduct weighted gene co-expression network analysis (WGCNA) and screen the hub gene of LN. We performed WGCNA on the microarray expression profile dataset of GSE104948 from the Gene Expression Omnibus (GEO) database with 18 normal and 21 LN samples of glomerulus. A total of 5,942 genes were divided into 5 co-expression modules, one of which was significantly correlated to LN. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted on the LN-related module, and the module was proved to be associated mainly with the activation of inflammation, immune response, cytokines, and immune cells. Genes in the most significant GO terms were extracted for sub-networks of WGNCA. We evaluated the centrality of genes in the sub-networks by Maximal Clique Centrality (MCC) method and
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.