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Dataset Information

Single cell analysis identified a basal cell transition state associated with the development and progression of bladder cancer.


ABSTRACT:

Background

Bladder cancer (BC) is a prevalent malignancy characterized by significant cellular heterogeneity. While single-cell multi-omics studies have provided valuable insights, much of the existing data remains underexplored, limiting our understanding of BC's molecular mechanisms. Uncovering the pathogenesis of BC and finding new treatment methods are urgent problems to be solved. This study aims to address this gap by re-analyzing available single-cell datasets to uncover novel insights into BC.

Methods

In this study, we retrieved three single-cell transcriptome datasets by searching the Gene Expression Omnibus (GEO) database, focusing on single-cell sequencing of normal mouse bladder within the past 5 years. Through quality control and batch effect elimination, we obt

SUBMITTER: Li Y 

PROVIDER: S-EPMC11550547 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature