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accession-icon GSE56352
Inhibition of BET bromodomain proteins as a therapeutic approach in prostate cancer
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We analyzed transcriptional changes in 4 prostate cancer cell lines following treatment with the BET inhibitor I-BET762 using Affymetrix Human Genome U133 Plus 2.0 Arrays.

Publication Title

Inhibition of BET bromodomain proteins as a therapeutic approach in prostate cancer.

Sample Metadata Fields

Cell line, Time

View Samples
accession-icon GSE112282
Gene expression changes induced by the BET inhibitor GSK525762 and/or the MEK inhibitor trametinib in cancer cell lines.
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptional changes were analyzed in two colorectal cancer, two pancreatic cancer, and one small cell lung cancer cell line following treatment with the BET inhibitor GSK525762 and/or the MEK inhibitor trametinib using Affymetrix Human Genome U133 Plus 2.0 Arrays.

Publication Title

MEK inhibitors overcome resistance to BET inhibition across a number of solid and hematologic cancers.

Sample Metadata Fields

Cell line, Treatment, Time

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accession-icon GSE56954
A687V EZH2 is a driver of histone H3 lysine 27 (H3K27) hyper-trimethylation
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression changes were analyzed in 2 acute lymphoblastic leukemia cell lines treated with the GSK126 EZH2 inhibitor using Affymetrix Human Genome U133 Plus 2.0 arrays.

Publication Title

A687V EZH2 is a driver of histone H3 lysine 27 (H3K27) hypertrimethylation.

Sample Metadata Fields

Cell line, Treatment, Time

View Samples
accession-icon GSE40972
EZH2 Inhibition as a Therapeutic Strategy for Lymphoma with EZH2 Activating Mutations
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

EZH2 inhibition as a therapeutic strategy for lymphoma with EZH2-activating mutations.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE40971
Gene expression profiling of EZH2 mutant and wild type DLBCL cell lines treated with EZH2 inhibitor
  • organism-icon Homo sapiens
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We studied transcriptional changes by Affymetrix human microarrays in DLBCL cell lines as a result of treatment with GSK126, a potent, highly-selective, SAM-competitive, small molecule inhibitor of EZH2

Publication Title

EZH2 inhibition as a therapeutic strategy for lymphoma with EZH2-activating mutations.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE41239
Gene expression profiling of two DLBCL cell lines upon shRNA mediated knockdown of EZH2
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We studied transcriptional changes by Affymetrix human microarrays in 2 DLBCL cell lines as a result of shRNA mediated knockdown of EZH2.

Publication Title

EZH2 inhibition as a therapeutic strategy for lymphoma with EZH2-activating mutations.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE66298
A DNA Hypomethylation Signature Predicts Novel Anti-Tumor Activity of LSD1 Inhibitors in SCLC
  • organism-icon Homo sapiens
  • sample-icon 88 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A DNA Hypomethylation Signature Predicts Antitumor Activity of LSD1 Inhibitors in SCLC.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE66294
A DNA Hypomethylation Signature Predicts Novel Anti-Tumor Activity of LSD1 Inhibitors in SCLC (microarray)
  • organism-icon Homo sapiens
  • sample-icon 88 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Epigenetic dysregulation has emerged as an important mechanism in cancer. Alterations in epigenetic machinery have become a major focus for new targeted therapies. The current report describes the discovery and biological activity of a cyclopropylamine containing inhibitor of Lysine Demethylase 1 (LSD1), GSK2879552. This small molecule is a potent, selective, orally bioavailable, mechanism-based irreversible inhibitor of LSD1. A proliferation screen of cell lines representing a number of tumor types indicated that small cell lung carcinoma (SCLC) is sensitive to LSD1 inhibition. The subset of SCLC lines and primary samples that undergo growth inhibition in response to GSK2879552 exhibit DNA hypomethylation of a signature set of probes suggesting this may be used as a predictive biomarker of activity. The targeted mechanism coupled with a novel predictive biomarker make LSD1 inhibition an exciting potential therapy for SCLC, a highly prevalent, rarely cured, tumor type representing approximately 15% of all lung cancers.

Publication Title

A DNA Hypomethylation Signature Predicts Antitumor Activity of LSD1 Inhibitors in SCLC.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE8057
Expression data from ovarian cancer cells with time-course and concentration-profiles
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Time-course and concentration-effect experiments with multiple time points and drug concentrations provide far more valuable information than experiments with just two design-points (treated vs. control), as commonly performed in most microarray studies. Analysis of the data from such complex experiments, however, remains a challenge. Here we present a semi-automated method for fitting time profiles and concentration-effect patterns, simultaneously, to gene expression data. The submodels for time-course included exponential increase and decrease models with parameters such as initial expression level, maximum effect, and rate-constant (or half-time). The submodel for concentration-effect was a 4-parameter Hill model.

Publication Title

Simultaneous modeling of concentration-effect and time-course patterns in gene expression data from microarrays.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE47040
Expression data from prostate cancer cell lines C4-2B (docetaxel sensitive) and TaxR (docetaxel resistant) cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Prostate cancer C4-2B cells were cultured in docetaxel in a dose-escalation manner. After nine months selection, cells were able to divide freely in 5 nM docetaxel, with a specific sets of genes been deregulated.

Publication Title

Inhibition of ABCB1 expression overcomes acquired docetaxel resistance in prostate cancer.

Sample Metadata Fields

Cell line

View Samples

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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Developed by the Childhood Cancer Data Lab

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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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