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accession-icon SRP173282
Expression profile of MM.1S tumors folloiwing treatment with bortezomib
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon SRP173284
Expression profile of Lo19S state cells in the presence and absence of bortezomib treatment
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon SRP147452
Genetic and transcriptional variation alters cancer cell line drug response [MCF7 strain L]
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina 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

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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