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accession-icon GSE23394
Expression data from human NHL cell lines treated with agonistic antibodies
  • organism-icon Homo sapiens
  • sample-icon 96 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CD20 is a clinically validated target for Non-Hodgkins lymphomas and autoimmune diseases. Interactions of CD20 with the B cell receptor (BCR) and components of the BCR signaling cascade have been reported. In this study we show that antibodies against CD20 or activation of the BCR by specific antibodies induce very similar expression patterns of up- or down-regulated genes in NHL cell lines indicating that CD20 may play a role in BCR signaling and vice versa.

Publication Title

Antibodies against CD20 or B-cell receptor induce similar transcription patterns in human lymphoma cell lines.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE54169
Differential regulation patterns of anti-CD20 mAbs in MCL
  • organism-icon Homo sapiens
  • sample-icon 74 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We investigated the differential regulation patterns of type I anti-CD20 monoclonal antibody (mAb) rituximab and type II obinutuzumab on a transcriptional level. Using a panel of MCL cell lines, we determined the effects of obinutuzumab and rituximab as monotherapies as well as in combination on cell viability and proliferation.

Publication Title

Differential regulation patterns of the anti-CD20 antibodies obinutuzumab and rituximab in mantle cell lymphoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE32526
Expression data from breast cancer tumor-initiating cells
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We have generated tumorigenic (S2N) and non-tumorigenic (S2), normal-like to basal-like breast cancer cell lines from primary tumors. At high in vivo inoculation cell numbers of 10^6 cells/mouse both S2N and S2 monolayer as well as sphere culture cells grew at similar rates. However, at low inoculation cell numbers down to 10^3 cells only S2N sphere cells generated xenograft tumors. mRNA profiling revealed a unique cluster pattern of the tumorigenic S2N sphere cells, but a detailed analysis of TIC relevant transcription factors like Oct3, Sox and Nanog family members, Myc, Slug or Twist1 revealed no consistently increased expression in the highly tumorigenic cell lines. Our data indicate that the intrinsic genetic and functional markers investigated are not solely indicative of the in vivo tumorigenicity of putative breast tumor-initiating cells.

Publication Title

Established breast cancer stem cell markers do not correlate with in vivo tumorigenicity of tumor-initiating cells.

Sample Metadata Fields

Disease, Cell line

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accession-icon GSE11135
The MILE (Microarray Innovations In LEukemia) study pre-phase
  • organism-icon Homo sapiens
  • sample-icon 204 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

An international standardization program towards the application of gene expression profiling in routine leukaemia diagnostics: The MILE study pre-phase.

Publication Title

An international standardization programme towards the application of gene expression profiling in routine leukaemia diagnostics: the Microarray Innovations in LEukemia study prephase.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE19246
A novel method of amplification of FFPET derived-RNA enables accurate disease classification with microarrays
  • organism-icon Homo sapiens
  • sample-icon 171 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A new method for amplification and labeling of RNA is assessed that permits gene expression microarray analysis of formalin-fixed paraffin embedded tissue (i.e. FFPET) samples.

Publication Title

A novel method of amplification of FFPET-derived RNA enables accurate disease classification with microarrays.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE50948
Expression Data from transNOAH breast cancer trial
  • organism-icon Homo sapiens
  • sample-icon 150 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

These data can be used for evaluation of the clinical utility of the research-based PAM50 subtype predictor in predicting pathological complete response (pCR) and event-free survival (EFS) in women enrolled in the NeOAdjuvant Herceptin (NOAH) trial.

Publication Title

Research-based PAM50 subtype predictor identifies higher responses and improved survival outcomes in HER2-positive breast cancer in the NOAH study.

Sample Metadata Fields

Age, Treatment, Race

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accession-icon GSE15396
Peripheral blood mononuclear, DU145, and HCT116 cells treated with a CDK inhibitor
  • organism-icon Homo sapiens
  • sample-icon 147 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

Preclinical biomarkers for a cyclin-dependent kinase inhibitor translate to candidate pharmacodynamic biomarkers in phase I patients.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE15395
HCT116 tumor cells treated with a CDK inhibitor
  • organism-icon Homo sapiens
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A genomics-based approach to identify pharmacodynamic biomarkers was used for a CDK (cyclin-dependent kinase) inhibitory drug. R547 is a potent CDK inhibitor with a potent anti-proliferative effect at pharmacologically relevant doses, and is currently in Phase I clinical trials. Utilizing preclinical data derived from microarray experiments, we identified pharmacodynamic biomarkers to test in blood samples from patients in clinical trials. These candidate biomarkers were chosen based on several criteria: relevance to the mechanism of action of R547, dose responsiveness in preclinical models, and measurable expression in blood samples. We identified 26 potential biomarkers of R547 action and tested their clinical validity in patient blood samples by quantitative real-time PCR analysis.

Publication Title

Preclinical biomarkers for a cyclin-dependent kinase inhibitor translate to candidate pharmacodynamic biomarkers in phase I patients.

Sample Metadata Fields

Cell line

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accession-icon GSE15392
DU145 tumor cells treated with a CDK inhibitor
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A genomics-based approach to identify pharmacodynamic biomarkers was used for a CDK (cyclin-dependent kinase) inhibitory drug. R547 is a potent CDK inhibitor with a potent anti-proliferative effect at pharmacologically relevant doses, and is currently in Phase I clinical trials. Utilizing preclinical data derived from microarray experiments, we identified pharmacodynamic biomarkers to test in blood samples from patients in clinical trials. These candidate biomarkers were chosen based on several criteria: relevance to the mechanism of action of R547, dose responsiveness in preclinical models, and measurable expression in blood samples. We identified 26 potential biomarkers of R547 action and tested their clinical validity in patient blood samples by quantitative real-time PCR analysis.

Publication Title

Preclinical biomarkers for a cyclin-dependent kinase inhibitor translate to candidate pharmacodynamic biomarkers in phase I patients.

Sample Metadata Fields

Cell line

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accession-icon GSE17388
Gene expression analysis of rat livers treated with pharmaceutical development compounds
  • organism-icon Rattus norvegicus
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

We used microarrays to analyze gene expression changes in liver after treatment of rats with two compounds from drug development (R1, R2) to identify potential effects related to hepatotoxicity.

Publication Title

Gene expression-based in vivo and in vitro prediction of liver toxicity allows compound selection at an early stage of drug development.

Sample Metadata Fields

Sex, Specimen part, Treatment

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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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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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