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accession-icon GSE15398
Evaluation of methods for amplification of picogram amounts of total RNA for whole genome expression profiling
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

For more than a decade, microarrays have been a powerful and widely used tool to explore the transcriptome of biological systems. However, the amount of biological material from cell sorting or laser capture microdissection is much too small to perform microarray studies. To address this issue, RNA amplification methods have been developed to generate sufficient targets from picogram amounts of total RNA to perform microarray hybridisation. In this study, four commercial protocols for amplification of picograms amounts of input RNA for microarray expression profiling were evaluated and compared. The quantitative and qualitative performances of the methods were assessed. Microarrays were hybridised with the amplified targets and the amplification protocols were compared with respect to the quality of expression profiles, reproducibility within a concentration range of input RNA, and sensitivity.

Publication Title

Evaluation of methods for amplification of picogram amounts of total RNA for whole genome expression profiling.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE5664
gene profiling in carcinoma cell during EMT
  • organism-icon Rattus norvegicus
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

Modulation of several waves of gene expression during FGF-1 induced Epithelial-mesenchymal transition of carcinoma cells . In vitro FGF-1 induced EMT study using NBTII rat bladder carcinoma cells

Publication Title

Modulation of several waves of gene expression during FGF-1 induced epithelial-mesenchymal transition of carcinoma cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE65216
Expression profiling of breast cancer samples from Institut Curie (Maire cohort)
  • organism-icon Homo sapiens
  • sample-icon 351 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

Transcriptome analysis of Wnt3a-treated triple-negative breast cancer cells.

Sample Metadata Fields

Cell line

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accession-icon GSE65212
Expression profiling of breast cancer samples from Institut Curie (Maire cohort) -- BrainArray CDF
  • organism-icon Homo sapiens
  • sample-icon 176 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptome analysis of 130 breast cancer samples (41 TNBC; 30 Her2; 30 Luminal B and 29 Luminal A), 11 normal breast tissue samples and 14 TNBC cell lines.

Publication Title

Transcriptome analysis of Wnt3a-treated triple-negative breast cancer cells.

Sample Metadata Fields

Cell line

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accession-icon GSE65194
Expression profiling of breast cancer samples from Institut Curie (Maire cohort) --Affy CDF
  • organism-icon Homo sapiens
  • sample-icon 175 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptome analysis of 130 breast cancer samples (41 TNBC; 30 Her2; 30 Luminal B and 29 Luminal A), 11 normal breast tissue samples and 14 TNBC cell lines.

Publication Title

Transcriptome analysis of Wnt3a-treated triple-negative breast cancer cells.

Sample Metadata Fields

Cell line

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accession-icon GSE65238
Transcriptome analysis of Wnt3a-treated triple-negative breast cancer cell lines.
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

We analyzed the transcriptome of two different triple negative breast cancer (TNBC) cell lines to define a comprehensive list of Wnt target genes. Cells were treated with Wnt3a for 6h, 12h or 24h. We found up-regulated and down-regulated genes in response to Wnt3a treatment. They are involved in the Wnt pathway itself, and also in TGF, p53 and Hedgehog pathways. Thorough characterization of these novel potential Wnt target genes may reveal new regulators of the canonical Wnt pathway. The comparison of our list of Wnt target genes with those published in other cellular contexts confirms the notion that Wnt target genes are tissue-, cell line- and treatment-specific.

Publication Title

Transcriptome analysis of Wnt3a-treated triple-negative breast cancer cells.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE20565
Primary and secondary ovarian tumors
  • organism-icon Homo sapiens
  • sample-icon 140 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The distinction between primary and secondary ovarian tumors may be challenging for pathologists.

Publication Title

A genomic and transcriptomic approach for a differential diagnosis between primary and secondary ovarian carcinomas in patients with a previous history of breast cancer.

Sample Metadata Fields

Specimen part, Disease stage

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accession-icon GSE26639
Expression Data from 226 patients of the REMAGUS02 trial
  • organism-icon Homo sapiens
  • sample-icon 226 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identification of predictive markers of response to treatment is a major objective in breast cancer. A major problem in clinical sampling is the variability of RNA templates, requiring accurate management of tumour material and subsequent analyses for future translation in clinical practice. Our aim was to establish the feasibility and reliability of high throughput RNA analysis in a prospective trial.

Publication Title

Importance of pre-analytical steps for transcriptome and RT-qPCR analyses in the context of the phase II randomised multicentre trial REMAGUS02 of neoadjuvant chemotherapy in breast cancer patients.

Sample Metadata Fields

Specimen part, Disease stage

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accession-icon GSE109004
Transcriptome analysis of LRP5- and LRP6-depleted HCC38 cells.
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

In order to characterize the differences between the co-receptors LRP5 and LRP6, we have analyzed the transcriptome of HCC38 cells - a triple negative breast cancer cell line - 24, 48 and 72 hours following the depletion of LRP5 or LRP6 using siRNAs.

Publication Title

LRP5 regulates the expression of STK40, a new potential target in triple-negative breast cancers.

Sample Metadata Fields

Disease, Disease stage, Cell line, Time

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accession-icon GSE3303
Gene Expression Profiles of Intact and Regenerating Zebrafish Retina
  • organism-icon Danio rerio
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Purpose: Investigate the molecular determinants of retinal regeneration in adult vertebrates by analyzing the gene expression profiles of control and post-lesion retina of adult zebrafish, a system that regenerates following injury.

Publication Title

Gene expression profiles of intact and regenerating zebrafish retina.

Sample Metadata Fields

No sample metadata fields

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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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