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Dataset Information

Self-control study of multi-omics in identification of microenvironment characteristics in calcium oxalate kidney stones.


ABSTRACT:

Background

Perform proteomic and metabolomic analysis on bilateral renal pelvis urine of patients with unilateral calcium oxalate kidney stones to identify the specific urinary microenvironment associated with stone formation.

Methods

Using cystoscopy-guided insertion of ureteral catheters, bilateral renal pelvis urine samples are collected. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is employed to identify differential proteins and metabolites in the urine microenvironment. Differentially expressed proteins and differential metabolites are further analyzed for their biological functions and potential metabolic pathways through Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, Reactome pathway analysis and Biomole

SUBMITTER: Xu S 

PROVIDER: S-EPMC11869433 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature