Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Synthetic lethality between VPS4A and VPS4B triggers an inflammatory response in colorectal cancer

ABSTRACT: Synthetic lethality between VPS4A and VPS4B triggers an inflammatory response in colorectal cancer

PROVIDER: PRJNA526245 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR8700970.fastq.gz	Fastqsanger.gz
	SRR8700980.fastq.gz	Fastqsanger.gz
	SRR8700990.fastq.gz	Fastqsanger.gz
	SRR8701000.fastq.gz	Fastqsanger.gz
	SRR8700971.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 38

Similar Datasets

Synthetic lethality between VPS4A and VPS4B triggers an inflammatory response in colorectal cancer

Project description:Somatic copy number alterations play a critical role in oncogenesis. Loss of chromosomal regions containing tumor suppressors can lead to collateral deletion of passenger genes. This can be exploited therapeutically if synthetic lethal partners of such passenger genes are known and represent druggable targets. Here, we report that VPS4B gene, encoding an ATPase involved in ESCRT-dependent membrane remodeling, is such a passenger gene frequently deleted in many cancer types, notably in colorectal cancer (CRC). We confirmed downregulation of VPS4B mRNA and protein levels from CRC patient samples. We identified VPS4A paralog as a synthetic lethal interactor for VPS4B in vitro and in mouse xenografts. Depleting both proteins profoundly altered the cellular transcriptome and induced cell death accompanied by the release of immunomodulatory molecules that mediate inflammatory and anti-tumor responses. Our results identify a pair of novel druggable targets for personalized oncology and provide a rationale to develop VPS4 inhibitors for precision therapy of VPS4B-deficient cancers.

2019-11-16 | GSE128070 | GEO

SML1 synthetic lethality

Project description:Assessment of synthetic lethality between an sml1 null mutation and Yeast Deletion mutations Keywords = SML1 Keywords = yeast Keywords = deletion Keywords = synthetic lethality Keywords = tag Keywords = barcode Keywords: repeat sample

2004-11-05 | GSE1765 | GEO

SGS1 synthetic lethality

Project description:Assessment of synthetic lethality between an sgs1 null mutation and Yeast Deletion mutations Keywords = SGS1 Keywords = yeast Keywords = deletion Keywords = synthetic lethality Keywords = tag Keywords = barcode Keywords: repeat sample

2004-11-05 | GSE1757 | GEO

BIM1 synthetic lethality

Project description:Assessment of synthetic lethality between a bim1 null mutation and Yeast Deletion mutations Keywords = BIM1 Keywords = yeast Keywords = deletion Keywords = synthetic lethality Keywords = tag Keywords = barcode Keywords: repeat sample

2004-11-05 | GSE1756 | GEO

CIN8 Synthetic Lethality

Project description:Assessment of synthetic lethality between a cin8 deletion mutation and Yeast Deletion mutations. Keywords = CIN8 Keywords = yeast Keywords = deletion Keywords = synthetic lethality Keywords = tag Keywords = barcode Keywords: repeat sample

2004-11-05 | GSE1754 | GEO

LCD1-overexpression synthetic lethality

Project description:Assessment of synthetic lethality between an overexpressed LCD1 gene and Yeast Deletion mutations Keywords = LCD1 Keywords = overexpression Keywords = yeast Keywords = deletion Keywords = synthetic lethality Keywords = tag Keywords = barcode Keywords: repeat sample

2004-11-05 | GSE1759 | GEO

CDC102 synthetic lethality

Project description:Assessment of synthetic lethality between a temperature-sensitive allele of CDC102 and Yeast Deletion mutations Keywords: repeat sample

2004-11-05 | GSE1758 | GEO

WNT-driven PRMT1 Nuclear Localization Generates Synthetic Lethality in Colorectal Cancers

Project description:WNT-driven PRMT1 Nuclear Localization Generates Synthetic Lethality in Colorectal Cancers

| PRJNA743093 | ENA

Synthetic Lethality (SLAM) Project Data

Project description:Synthetic lethality is a type of genetic interaction in which two non-lethal mutations acting together result in a loss of viability. Such interactions are important for the insights they may offer into how gene functions are organized into distinct cellular processes. The datasets in this Series represent an effort to identify synthetic lethal genetic interactions in the yeast Saccharomyces cerevisiae on a genome-wide scale. Please see the Pubmed IDs in the individual Sample annotations.

2013-02-28 | E-GEOD-14217 | biostudies-arrayexpress