Transcriptomics

Dataset Information

0

Gene expression in muscle invasive and non-muscle invasive bladder cancer cell lines exposed to hypoxia


ABSTRACT: Introductionon: Hypoxic cancers are radioresistant, but biomarkers based on expression of multiple genes can identify patients who will benefit from hypoxia modification. Most studies identifying relevant genes exposed cells in culture to 1% oxygen, which activates hypoxia-inducible factor (HIF). However, oxygen concentrations in hypoxic tumours are heterogeneous ranging from <0.1%. As lower oxygen levels would likely affect transcriptional responses, we aimed to investigate how gene selection at different oxygen levels affects the genes identified and their prognostic capability. Methods: Four MIBC (J82, T24, UMUC3, HT1376) and two non-MIBC (RT4, RT112) bladder cancer cell lines were exposed to varying oxygen levels (20%, 1%, 0.2% and 0.1% O2) for 24 h then harvested and frozen. RNA was extracted and transcriptomes analysed using Clariom S microarrays. Differences in gene expression were investigated. Prognostic and predictive significance of a published 24-gene signature was compared with one generated from genes identified at lower oxygen levels.

ORGANISM(S): Homo sapiens

PROVIDER: GSE302555 | GEO | 2025/09/03

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2025-07-23 | PXD066069 | Pride
2022-01-11 | GSE167558 | GEO
2021-03-23 | GSE149582 | GEO
2017-03-02 | GSE95564 | GEO
2012-08-13 | E-GEOD-36837 | biostudies-arrayexpress
2011-11-11 | E-GEOD-33607 | biostudies-arrayexpress
2010-06-25 | E-GEOD-12884 | biostudies-arrayexpress
2024-04-17 | GSE243799 | GEO
2023-01-03 | GSE198308 | GEO
2024-09-02 | BIOMD0000000300 | BioModels