Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genetic and transcriptional variation alters cancer cell line drug response

ABSTRACT: Genetic and transcriptional variation alters cancer cell line drug response

PROVIDER: PRJNA471500 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR10018149_1.fastq.gz	Fastqsanger.gz
	SRR10018149_2.fastq.gz	Fastqsanger.gz
	SRR10018150_1.fastq.gz	Fastqsanger.gz
	SRR10018150_2.fastq.gz	Fastqsanger.gz
	SRR10018151_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 36

Similar Datasets

Genetic and transcriptional variation alters cancer cell line drug response [MCF7]

Project description:Genetic and transcriptional variation alters cancer cell line drug response [MCF7]

| PRJNA471584 | ENA

Genetic and transcriptional variation alters cancer cell line drug response [MCF7 strain L]

Project description:Genetic and transcriptional variation alters cancer cell line drug response [MCF7 strain L]

| PRJNA471583 | ENA

Genetic and transcriptional variation alters cancer cell line drug response [MCF7 strain AA]

Project description:Genetic and transcriptional variation alters cancer cell line drug response [MCF7 strain AA]

| PRJNA471582 | ENA

Genetic and transcriptional variation alters cancer cell line drug response [MCF7]

Project description:10X Genomics single cell RNAseq of MCF7 cells Human cancer cell lines are the workhorse of cancer research. While cell lines are known to evolve in culture, the extent of the resultant genetic and transcriptional heterogeneity and its functional consequences remain understudied. Here, genomic analyses of 106 cell lines grown in two laboratories revealed extensive clonal diversity. Follow-up comprehensive genomic characterization of 27 strains of the common breast cancer cell line MCF7 uncovered rapid genetic diversification. Similar results were obtained with multiple strains of 13 additional cell lines. Importantly, genetic changes were associated with differential activation of gene expression programs and marked differences in cell morphology and proliferation. Barcoding experiments showed that cell line evolution occurs as a result of positive clonal selection that is highly sensitive to culture conditions. Analyses of single cell-derived clones showed that ongoing instability quickly translates into cell line heterogeneity. Testing of the 27 MCF7 strains against 321 anti-cancer compounds uncovered strikingly disparate drug response: at least 75% of compounds that strongly inhibited some strains were completely inactive in others. This study documents the extent, origin and consequence of genetic variation within cell lines, and provides a framework for researchers to measure such variation in efforts to support maximally reproducible cancer research.

2018-08-01 | GSE114459 | GEO

Genetic and transcriptional variation alters cancer cell line drug response [MCF7 strain AA]

Project description:10X Genomics single cell RNAseq of MCF7 cells treated with bortezomib. Human cancer cell lines are the workhorse of cancer research. While cell lines are known to evolve in culture, the extent of the resultant genetic and transcriptional heterogeneity and its functional consequences remain understudied. Here, genomic analyses of 106 cell lines grown in two laboratories revealed extensive clonal diversity. Follow-up comprehensive genomic characterization of 27 strains of the common breast cancer cell line MCF7 uncovered rapid genetic diversification. Similar results were obtained with multiple strains of 13 additional cell lines. Importantly, genetic changes were associated with differential activation of gene expression programs and marked differences in cell morphology and proliferation. Barcoding experiments showed that cell line evolution occurs as a result of positive clonal selection that is highly sensitive to culture conditions. Analyses of single cell-derived clones showed that ongoing instability quickly translates into cell line heterogeneity. Testing of the 27 MCF7 strains against 321 anti-cancer compounds uncovered strikingly disparate drug response: at least 75% of compounds that strongly inhibited some strains were completely inactive in others. This study documents the extent, origin and consequence of genetic variation within cell lines, and provides a framework for researchers to measure such variation in efforts to support maximally reproducible cancer research.

2018-08-01 | GSE114461 | GEO

Genetic and transcriptional variation alters cancer cell line drug response [MCF7 strain L]

2018-08-01 | GSE114460 | GEO

Dissecting the Effect of Genetic Variation on the Hepatic Expression of Drug Disposition Genes across the Collaborative Cross Mouse Strains

Project description:A central challenge in pharmaceutical research is to investigate genetic variation in response to drugs. The Collaborative Cross (CC) mouse reference population is a promising model for pharmacogenomic studies because of its large amount of genetic variation, genetic reproducibility, and dense recombination sites. While the CC lines are phenotypically diverse, their genetic diversity in drug disposition processes, such as detoxification reactions, is still largely uncharacterized. Here we systematically measured RNA-sequencing expression profiles from livers of 29 CC lines under baseline conditions. We then leveraged a reference collection of metabolic biotransformation pathways to map potential relations between drugs and their underlying expression quantitative trait loci (eQTLs). By applying this approach on proximal eQTLs, including eQTLs acting on the overall expression of genes and on the expression of particular transcript isoforms, we were able to construct the organization of hepatic eQTL-drug connectivity across the CC population. The analysis revealed a substantial impact of genetic variation acting on drug biotransformation, allowed mapping of potential joint genetic effects in the context of individual drugs, and demonstrated crosstalk between drug metabolism and lipid metabolism. Our findings provide a resource for investigating drug disposition in the CC strains, and offer a new paradigm for integrating biotransformation reactions to corresponding variations in DNA sequences.

2016-10-17 | GSE77715 | GEO

Genetic and transcriptional variation alters cancer cell line drug response

Project description:This SuperSeries is composed of the SubSeries listed below.

2018-08-01 | GSE114462 | GEO

Genetic Variation Determines PPARγ Function and Antidiabetic Drug Response In Vivo [ChIP-seq]

Project description:Genetic Variation Determines PPARγ Function and Antidiabetic Drug Response In Vivo [ChIP-seq]

| PRJNA271059 | ENA

Patient adipose stem cell-derived adipocytes reveal genetic variation that predicts anti-diabetic drug response

Project description:Patient adipose stem cell-derived adipocytes reveal genetic variation that predicts anti-diabetic drug response

| PRJNA474921 | ENA