Back to search

Article

Single-cell and transcriptome analysis reveals TAL cells in diabetic nephropathy

2023-06-09

Abstract excerpt

Diabetic nephropathy is a global public health concern with multifaceted pathogenesis, primarily involving hypertension. Excessive activation of AT1R has been strongly associated with hypertension onset and progression in diabetic nephropathy. This study aimed to conduct thick ascending limb cell single-cell and transcriptomic analysis in diabetic nephropathy, including screening for biological markers, cellular c...

Topics

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

Identifiers and source

Literature Corpus work
f7afcdf9-2278-534c-b9f5-68920dcca2f8
DOI
10.21203/rs.3.rs-3030338/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.
Single-cell and transcriptome analysis reveals TAL cells in diabetic nephropathyDOI 10.21203/rs.3.rs-3030338/v1
Single-cell transcriptomes reveal a molecular link between diabetic kidney and retinal lesionsSemantic proximity
Single-cell transcriptomic profiles in the pathophysiology within the microenvironment of early diabetic kidney diseaseSemantic proximity
Bioinformatics Identification and Validation of Pyroptosis-Related Diagnostic Biomarkers in Diabetic NephropathySemantic proximity
Single-Cell RNA Sequencing Profiles Identify Important Pathophysiologic Factors in the Progression of Diabetic NephropathySemantic proximity
Identification of Biomarkers Associated with Diagnosis of Diabetic Nephropathy Patients Based on Bioinformatics and Machine LearningSemantic proximity
Identification of hub genes involved in the pathogenesis of diabetic nephropathy: A multi‐omics study integrating machine learning, mendelian randomization and mediation analysisSemantic proximity
Constructing the biomolecular networks associated with diabetic nephropathy and dissecting the effects of biomolecule variation underlying pathogenesis.Semantic proximity
Identification of molecular markers of immune cell infiltration in diabetic nephropathy by weighted gene co-expression network analysis (WGCNA)Semantic proximity
Identification of Hub Genes and Potential ceRNA Networks of Diabetic Nephropathy by Weighted Gene Co-Expression Network AnalysisSemantic proximity
Unveiling the Role of Calcium Dobesilate's based on Multi-omics in Combatting Type 1 Diabetic NephropathySemantic proximity
Identification of diagnostic biomarkers for diabetes nephropathy by multi-chip integrated bioinformatics combining machine-learning strategies and mendelian randomizationSemantic proximity
Single-cell RNA and transcriptome sequencing profiles identify immune-associated key genes in the development of diabetic kidney diseaseSemantic proximity
Select a neighboring publication to make it the new centre.