Transcriptomics

Dataset Information

0

Single Cell Analysis Reveals NUPR1 Promotes Docetaxel Resistance in Prostate Cancer


ABSTRACT: The majority of prostate cancer (PCa) patients treated with docetaxel develop resistance to it. In order to better understand the mechanism behind the acquisition of resistance, we conducted single cell total RNA sequencing (sctotal RNA-seq) of docetaxel sensitive and resistant variants of DU145 and PC3 PCa cell lines. Overall, sensitive and resistant cells clustered separately. However, for both cell lines we identified rare sensitive cells that clustered with the resistant cells indicating resistant cells pre-exist in the sensitive population. Differential gene expression analysis between resistant and sensitive cells revealed 182 differentially expressed genes common to both PCa cell lines. A subset of these genes gave a gene expression profile in the resistant-like sensitive cells similar to the resistant cells. Exploration for functional gene pathways identified 218 common pathways between the two cell lines. Protein ubiquitination was the most differentially regulated pathway and was enriched in the resistant cells. Transcriptional regulator analysis identified potential 321 regulators across both cell lines. One of the top regulators identified was nuclear protein 1 (NUPR1). In contrast to the single cell analysis, bulk analysis of the cells did not reveal NUPR1 as a promising candidate. Knockdown and overexpression of NUPR1 in the PCa cells demonstrated that NUPR1 confers docetaxel resistance in both cell lines. Collectively, these data demonstrate the utility of sctotal RNA-seq to identify regulators of drug resistance. Furthermore, NUPR1 was identified as a mediator of PCa drug resistance, which provides the rationale to explore NUPR1 and its target genes to for reversal of docetaxel resistance.

ORGANISM(S): Homo sapiens

PROVIDER: GSE140440 | GEO | 2020/09/01

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2023-04-01 | GSE149681 | GEO
2011-04-22 | E-GEOD-28784 | biostudies-arrayexpress
2012-10-02 | E-GEOD-36135 | biostudies-arrayexpress
2012-01-01 | E-GEOD-33455 | biostudies-arrayexpress
2013-07-22 | E-GEOD-39337 | biostudies-arrayexpress
2012-01-01 | GSE33455 | GEO
2024-08-08 | GSE271075 | GEO
2011-04-22 | GSE28784 | GEO
2013-06-30 | E-MTAB-1221 | biostudies-arrayexpress
2020-10-25 | GSE158494 | GEO