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accession-icon GSE58024
EDHB treated KYSE170
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to detail the gene expression profiles of KYSE170 cell line to identify distinct up and down-regulated genes during treatment with ethyl-3,4-dihydroxybenzoate.

Publication Title

No associated publication

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE65009
YM155 treated KYSE410
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to detail the gene expression profiles of KYSE410 cell line to identify distinct up and down-regulated genes during treatment with cisplatin.

Publication Title

No associated publication

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE56769
CDDP treated KYSE140
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to detail the gene expression profiles of KYSE140 cell line to identify distinct up and down-regulated genes during treatment with cisplatin.

Publication Title

No associated publication

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE117918
Influenced genes by miR663a
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

An increasing number of studies have demonstrated that miRNAs may act as oncogenes or anti-oncogenes in various types of cancer, including colon carcinoma (CC). However the clinical and biological signicance of miR663a in the prognosis of CC and its underlying mechanisms remain unknown.

Publication Title

No associated publication

Sample Metadata Fields

Cell line

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accession-icon GSE4668
Expression data from hormone-starved MCF7/BUS cell culture
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

To obtain comprehensive information on 17beta-estradiol (E2) sensitivity of genes that are inducible or suppressible by this hormone, we designed a method that determines ligand sensitivities of large numbers of genes using DNA microarray and a set of simple Perl computer scripts implementing the standard metric statistics, and employed it to characterize effects of low (0-100 pM) concentrations of E2 on the transcriptome profile of MCF7/BUS human breast cancer cells, whose E2 dose-dependent growth curve saturated with 100 pM E2. Evaluation of changes in mRNA expression for all genes covered by the DNA microarray indicated that, at a very low concentration (10 pM), E2 suppressed 3~5 times larger numbers of genes than it induced, whereas at higher concentrations (30-100 pM) it induced 1.5~2 times more genes than it suppressed. Using clearly defined statistical criteria, E2-inducible genes were categorized into several classes based on their E2 sensitivities. This approach of hormone sensitivity analysis revealed that expression of two previously reported E2-inducible autocrine growth factors, TGF-? and SDF-1, was not affected by 100 pM and lower concentrations of E2 but strongly enhanced by 10 nM E2, which was far higher than the concentration that saturated the E2 dose-dependent growth curve of MCF7/BUS cells. These observations suggested that biological actions of E2 are derived from expression of multiple genes whose E2 sensitivities differ significantly and, hence, dependent on the E2 concentration especially when it is lower than the saturating level, emphasizing the importance of characterizing the ligand dose-dependent aspects of E2 actions. (paper abstract)

Publication Title

Global analysis of ligand sensitivity of estrogen inducible and suppressible genes in MCF7/BUS breast cancer cells by DNA microarray.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE78060
A gene expression profiling to predict recurrence of advanced tongue squamous cell carcinoma (TSCC): Discovery and external validation
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Though several approaches for improving therapy have been carried out, the prognoses of TSCC patients still remains poor. Furthermore, biological markers, which are able to distinguish patients at high risk of recurrence has not been sufficiently explored. In this study, we identified and validated the 30-specific genes for predicting TSCC patiens prognosis. In addition, the gene expression profiling data was successfully converted to protein expression profiling data.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE65816
Gene expression profile analysis of PLS-123 in OCI-Ly7 cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To exploit targets or signaling pathways affected by PLS-123 during anti-tumor process, gene expression profiling was carried out in representative OCI-Ly7 cells treated for 24 hours.

Publication Title

Irreversible dual inhibitory mode: the novel Btk inhibitor PLS-123 demonstrates promising anti-tumor activity in human B-cell lymphoma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE65817
Gene expression profile analysis of PLS-123 in xenograft model.
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

To exploit targets or signaling pathways affected by PLS-123 during anti-tumor process, gene expression profiling was carried out in OCI-Ly7 inoculated xenograft model.

Publication Title

Irreversible dual inhibitory mode: the novel Btk inhibitor PLS-123 demonstrates promising anti-tumor activity in human B-cell lymphoma.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE65222
Global gene expression analysis of human colorectal cancer tissue
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Generally, cancer tissue is palpated as a hard mass. On the other hand, it is not clear the nature of elasticity in cancer tissue. The aim in this study is to evaluate clinical utility of measuring elastic module in colorectal cancer tissue. Using a tactile sensor, we measured the elastic module of 106 surgically resected colorectal cancer tissues. The data of the elastic module were compared with the clinicopathological findings including stromal features represented by azan and -SMA positive area ratio in tumor area. Finally cDNA microarray profile of the tumor with high elastic module was compared with that with low elastic module

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Disease, Disease stage

View Samples
accession-icon GSE52638
Gene expression data from non-infected and M. hyorhinis-infected gastric cancer cell lines using Affymetrix genechip (HuGene-1_0-st)
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Chronic infection of M. hyorhinis is postulated to be associated with cancer cell migration and invasion. To explore the mechanisms of M. hyorhinis-promoted invasiveness, we performed Affymetrix genechip (HuGene-1_0-st) analysis to examine differential gene expression profiles between non-infected and infected gastric cancer cells.

Publication Title

No associated publication

Sample Metadata Fields

Disease, Disease stage, 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)

fund-icon Fund the CCDL

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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