Back to search

Article

Identification of key biomarkers and immune infiltration in Minimal Change Disease: Novel Insights from bioinformatics analysis

2022-12-07

Abstract excerpt

<h4>Background: </h4> Minimal change disease (MCD) is not a simple immune disease, and its pathogenesis has not been elucidated because of its complexity in terms of the glomerular microenvironment and genetic susceptibility. Hence the therapeutic approach is equally imprecise. Methods We downloaded GSE108109 from the Gene Expression Omnibus (GEO) database for bioinformatic analyses. Genome-wide expression analys...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
868f9546-0e4f-51d2-ade9-fe7fa28f1723
DOI
10.21203/rs.3.rs-2326115/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identification of key biomarkers and immune infiltration in Minimal Change Disease: Novel Insights from bioinformatics analysisDOI 10.21203/rs.3.rs-2326115/v1
Identification Candidate Diagnostic Biomarkers Between Minimal Change Disease and Focal Segmental Glomerulosclerosis by Bioinformatics AnalysisSemantic proximity
Identification of Diagnostic Gene Biomarkers and Characterization of the Immune Infiltration in Primary Membranous Nephropathy by Integrating Machine-Learning Strategies and Bioinformatic AnalysisSemantic proximity
Revealing Potential Diagnostic Gene Biomarkers Associated with Immune Infiltration in Patients with Renal Fibrosis Based on Machine Learning AnalysisSemantic proximity
Prioritization of Diagnostic and Prognostic Biomarkers for Lupus Nephritis Based on Integrated Bioinformatics AnalysesSemantic proximity
Exploring the crosstalk molecular mechanisms between IgA nephropathy and Sjögren’s syndrome based on comprehensive bioinformatics and immunohistochemical analysesSemantic proximity
Identification of diagnostic biomarkers and potential therapeutic drugs in focal segmental glomerulosclerosis with metabolic syndrome by integrating bioinformatics and machine learningSemantic proximity
Identification of immune microenvironment and PANoptosis-related biomarkers in diabetic kidney disease: PSMB8 and PSMB9Semantic proximity
Identification and validation of immune and cuproptosis - related genes for diabetic nephropathy by WGCNA and machine learningSemantic proximity
Identification and Validation of Prognostic Biomarkers Specifically Expressed in Macrophage in IgA Nephropathy Patients Based on Integrated Bioinformatics AnalysesSemantic proximity
Comparative Analysis on Abnormal Methylome of Differentially Expressed Genes and Disease Pathways in the Immune Cells of RA and SLESemantic proximity
Differentiation of T Helper 17 Cells May Mediate the Abnormal Humoral Immunity in IgA Nephropathy and Inflammatory Bowel Disease Based on Shared Genetic EffectsSemantic proximity
Identification of Molecular Markers Associated With the Pathophysiology and Treatment of Lupus Nephritis Based on Integrated Transcriptome AnalysisSemantic proximity
Select a neighboring publication to make it the new centre.