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SRP167870
Homo sapiens
20 Downloadable Samples
Illumina HiSeq 2500
Description
Using RNA-seq to identify gene expression changes after genetic deletion of ADAR Overall design: RNA-seq of A549, HCC366, NCI-H1650, and NCI-H196 cells after CRISPR-Cas9-mediated deletion of ADAR as compared to a control gene. A549 cells were also treated with vehicle or interferon-ß for 24 hours prior to collection for RNA-seq.
Publication Title
Identification of ADAR1 adenosine deaminase dependency in a subset of cancer cells.
Sample Metadata Fields
Cell line, Treatment, Subject
View Samples- Homo sapiens
- 15 Downloadable Samples
- Illumina HiSeq 2500
Description
MM.1S orthotopic tumors were analyzed fro their gene expression upon tumor outgrowth. In contorl/bortezomib/elesclmol and combo treatments. Overall design: examination of three tumors for each condition.
Publication Title
Mitochondrial metabolism promotes adaptation to proteotoxic stress.
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 12 Downloadable Samples
- Illumina HiSeq 2500
Description
We transiently induce the Lo19S state with a dox inducible shRNa targeting PSMD2 and explore the gene expression in the presence and absence of bortezomib Overall design: one cell type (T47D), two states (Control and Lo19S) with and without treatment with 20nM bortezomib , all in triplicates
Publication Title
Mitochondrial metabolism promotes adaptation to proteotoxic stress.
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 16 Downloadable Samples
- NextSeq 500
Description
Breast cancer cell lines containing stable dox inducible shRNAs targeting SF3B1 were profiled by RNA sequencing. We determined the effect of gene expression and splicing changes before and after knocking down SF3B1 in cell lines with normal copy number (SF3B1neutral) or partial copy loss (SF3B1loss) cell lines Overall design: RNA profiles for SF3B1 suppression were generated from 8 breast cancer cell line pairs (-/+ dox) with no techincal replicates.
Publication Title
Copy-number and gene dependency analysis reveals partial copy loss of wild-type SF3B1 as a novel cancer vulnerability.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 6 Downloadable Samples
- NextSeq 500
Description
Malignant rhabdoid tumors (MRT) are highly aggressive pediatric cancers that respond poorly to current therapies. We screened several MRT cell lines each with large-scale RNAi, CRISPR-Cas9, and small-molecule libraries to identify potential drug targets specific for these cancers. We discovered MDM2 and MDM4, the canonical negative regulators of p53, as significant vulnerabilities. Using two compounds currently in clinical development, idasanutlin and ATSP-7041, we show that MRT cells are more sensitive than other p53 wild-type cancer cell lines to MDM2 and dual MDM2/4 inhibition in vitro. These compounds cause significant upregulation of the p53 pathway in MRT cells, and sensitivity is ablated by CRISPR-Cas9-mediated inactivation of TP53. We show that loss of SMARCB1, a subunit of the SWI/SNF (BAF) complex mutated in nearly all MRT, sensitizes cells to MDM2 and MDM2/4 inhibition by enhancing p53-mediated apoptosis. Both MDM2 and MDM2/4 inhibition slowed MRT xenograft growth in vivo, with a five-day idasanutlin pulse causing marked regression of all xenografts including durable complete responses in 50% of mice. Together, these studies identify a genetic connection between mutations in the SWI/SNF chromatin-remodeling complex and the tumor suppressor gene p53, and provide preclinical evidence to support the targeting of MDM2 and MDM4 in this often-fatal pediatric cancer. Overall design: RNA-seq in TTC642 MRT cells treated with idasanutlin compared to DMSO
Publication Title
MDM2 and MDM4 Are Therapeutic Vulnerabilities in Malignant Rhabdoid Tumors.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 3 Downloadable Samples
- Illumina HiSeq 2500
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. Overall design: Single cell clones were derived from MCF7 cells (strain L) and cultured.
Publication Title
Genetic and transcriptional evolution alters cancer cell line drug response.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 10 Downloadable Samples
- NextSeq 500
Description
We generated RNAseq profiles from Small Airway Epithelial Cells (SALE) expressing either KRAS G12V or GFP control. Overall design: SALE stably expressing with KRAS G12V or GFP were harvested two weeks after infection.
Publication Title
Decomposing Oncogenic Transcriptional Signatures to Generate Maps of Divergent Cellular States.
Sample Metadata Fields
Specimen part, Subject
View Samples