Transcriptomics

Dataset Information

0

A kinase inhibitor screen identifies a dual cdc7/CDK9 inhibitor to sensitise triple-negative breast cancer to EGFR-targeted therapy


ABSTRACT: Purpose: To investigate the impact of combined cdc7, CDK9 and EGFR inhibition on the transcriptomic profile of EGFR-TKI-resistant TNBC cells using high-throughput RNA sequencing. Methods: EGFR-TKI-resistant TNBC cell lines (Hs578T and SKBR7) were treated with DMSO, lapatinib (3.16 µM), PHA-767491 (1 µM) or co-treated with lapatinib (3.16 µM) & PHA-767491 (1 µM) for 6 hours. RNA was isolated with RNeasy Plus Mini Kit as described by manufacturer (QIAGEN, Cat. 74136). Transcriptome RNA-Sequencing (RNA-Seq) was performed using Illumina high-throughput RNA sequencing. Results:we mapped about 40 million sequence reads per sample to the human genome (build hg38). RNA-Seq data was normalised by TMM using EdgeR’s normalisation-factor followed by quantile normalisation and presented in Log2 fold change (Log2 FC) scales.Genes with significant down- or up-regulation (Log2 FC ≥ |0.5|) under indicated conditions were analysed by web-based functional analysis tool Ingenuity pathway Analysis (IPA) to visualise and annotate their biological functions and pathways. Conclusions: 1387 and 2747 genes were down-regulated in co-treated Hs578T and SKBR7 cells, respectively. 2614 genes were up-regulated by co-treatment in Hs578T cells, whilst 243 genes were up-regulated by the same treatment in SKBR7 cells. We identified 845 commonly differentially expressed transcripts in both HS578T and SKBR7 cells after co-treatment of which 141 transcripts were up-regulated and 704 transcripts were down-regulated. 34 of these commonly differentially expressed transcripts were linked to metastasis-free survival in TNBC patients.

ORGANISM(S): Homo sapiens

PROVIDER: GSE131375 | GEO | 2019/07/21

REPOSITORIES: GEO

Similar Datasets

2020-05-19 | GSE134803 | GEO
2023-04-01 | GSE210987 | GEO
2019-12-04 | PXD013821 | Pride
2022-12-01 | GSE195713 | GEO
2020-01-27 | GSE144260 | GEO
2022-09-26 | E-MTAB-10317 | biostudies-arrayexpress
2017-08-09 | GSE100878 | GEO
2013-06-01 | E-GEOD-36693 | biostudies-arrayexpress
2015-03-07 | GSE66604 | GEO
2021-05-20 | GSE164902 | GEO