Back to search

Article

ATP6V1C1 and COPA: Autophagy-Related Markers for Tracking Progression from AKI to CKD—A Multi-Omics Investigation

2024-11-27

Abstract excerpt

<title>Abstract</title> <p>This study explored the relationship between acute kidney injury (AKI) and chronic kidney disease (CKD), focusing on autophagy-related genes and their immune infiltration during the transition from AKI to CKD. We performed weighted correlation network analysis (WGCNA) using two microarray datasets (GSE139061 and GSE66494) in the GEO database, and identified autophagy signatures by KEGG,...

Topics

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

Identifiers and source

Literature Corpus work
e752921c-163b-5ace-97b6-9331dc600c02
DOI
10.21203/rs.3.rs-5321995/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.
ATP6V1C1 and COPA: Autophagy-Related Markers for Tracking Progression from AKI to CKD—A Multi-Omics InvestigationDOI 10.21203/rs.3.rs-5321995/v1
Screening for potential biological markers of chronic kidney disease based on WGCNA and machine learningSemantic proximity
iTRAQ-based comparative proteomics analysis reveals specific urinary biomarkers for various kidney diseasesSemantic proximity
Integrated Profiling Identifies Key Molecule Drivers as Diagnostic Biomarkers and Therapeutic Targets in Acute Kidney InjurySemantic proximity
Identifying effective diagnostic biomarkers and immune infiltration features in chronic kidney disease by bioinformatics and validationSemantic proximity
Multi-Scalar Data Integration Decoding Risk Genes for Chronic Kidney DiseaseSemantic proximity
Bioinformatics Analysis of the Cuprotosis Gene in Immune Infiltration of Chronic Kidney DiseaseSemantic proximity
Evaluating the kidney disease progression using a comprehensive patient profiling algorithm: A hybrid clustering approachSemantic proximity
Establishment of a integrative multi-omics expression database CKDdb in the context of chronic kidney disease (CKD)Semantic proximity
Annexin A2 plays a key role in protecting against acute kidney injury through β-catenin/TFEB pathwaySemantic proximity
Systems biology and machine learning approaches identify drug targets in diabetic nephropathySemantic proximity
Identification and validation of ferroptosis-related gene SLC2A1 as a novel prognostic biomarker in AKISemantic proximity
The Recent Evolution of the Application of Single-Cell Analysis in Kidney Diseases: A bibliometric analysisSemantic proximity
Select a neighboring publication to make it the new centre.