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accession-icon E-TABM-53
Transcription profiling of human nephroblastoma
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

A ""Cartes d'Identite des Tumeurs"" (CIT) project from the french Ligue Nationale Contre le Cancer (<a href="http://cit.ligue-cancer.net" target="_blank">http://cit.ligue-cancer.net</a>). 73 samples (60 tumoral, 6 normal kidneys (NK), 3 fetal kidneys (FK) and 4 cell lines (L)), hybridized on Affymetrix HG-U133A GeneChips.Tumor classification based on a characterization of WT1 and Betacatenin. Identification of major differences between two categories of Wilms' Tumors defined according to WT1 and CTNNB1 genomic and expression features. First large scale study based on post-chemotherapy resected tumors, according to the SIOP protocoles.

Publication Title

WNT/beta-catenin pathway activation in Wilms tumors: a unifying mechanism with multiple entries?

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Subject

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accession-icon GSE40967
Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics
  • organism-icon Homo sapiens
  • sample-icon 585 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

Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value.

Sample Metadata Fields

Sex

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accession-icon GSE39582
Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [Expression]
  • organism-icon Homo sapiens
  • sample-icon 585 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

From a clinical and molecular perspective, colon cancer (CC) is a heterogeneous disease but to date no classification based on high-density transcriptome data has been established. The aim of this study was to build up a robust molecular classification ofmRNA expression profiles (Affymetrix U133Plus2) ofa large series of 443 CC and 19 non-tumoral colorectal mucosas, and to validate it on an independent serie of 123 CC and 906 public dataset.We identified and validated six molecular subtypes in this large cohort as a combination of multiple molecular processes that complement current disease stratification based on clinicopathological variables and molecular markers. The biological relevance of these subtypes was consolidated by significant differences in survival. These insights open new perspectives for improving prognostic models and targeted therapies.

Publication Title

Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value.

Sample Metadata Fields

Sex

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accession-icon GSE51723
Therapy-induced PML nuclear body re-formation and p53 activation trigger acute promyelocytic leukaemia cure
  • organism-icon Mus musculus
  • sample-icon 72 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The therapy-induced PML/RARA catabolism elicits the loss of APL-initiating cell self-renewal through PML NB reformation and P53 activation. These results explain the curative activity of the RA/arsenic combination, the resistance to RA of PLZF/RARA-driven APLs and they raise the prospect that activation of this PML/P53 checkpoint might have therapeutic values in other malignancies.

Publication Title

Activation of a promyelocytic leukemia-tumor protein 53 axis underlies acute promyelocytic leukemia cure.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE39084
Sporadic early-onset colorectal carcinoma is a distinct clinicopathological and molecular entity
  • organism-icon Homo sapiens
  • sample-icon 69 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Sporadic early onset colorectal carcinoma (EOCRC) is a growing problem that remains poorly understood. Clinical specificities and mechanisms of tumorigenesis might be relevant to both diagnosis and treatment. In this prospective study, clinicopathological features, genomic and gene expression profiles of sporadic EOCRC were compared to other well defined groups of CRC.

Publication Title

Sporadic early-onset colorectal cancer is a specific sub-type of cancer: a morphological, molecular and genetics study.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE49278
Expression profiling by array of 44 adrenocortical carcinomas
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Gene expression profiles of adrenocortical carcinomas were analyzed using Affymetrix Human Gene 2.0 ST Array to identify homogeneous molecular subgroups

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE77816
Expression analysis of WT and Zbtb4 -/- mouse primary fibroblasts
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

ZBTB4 is a mammalian transcription factor with Zinc fingers and a BTB/POZ domain, which can bind methylated CpGs, as well as certain unmethylated consensus sequences. ZBTB4 is frequently downregulated in human cancers, but it is unclear whether this is a cause or consequence of transformation. To investigate the role of ZBTB4 in normal and pathological conditions, we generated Zbtb4-/- mice

Publication Title

Loss of the Methyl-CpG-Binding Protein ZBTB4 Alters Mitotic Checkpoint, Increases Aneuploidy, and Promotes Tumorigenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE54629
Whole-blood transcriptomic profiling highlights rituximab response in rheumatoid arthritis
  • organism-icon Homo sapiens
  • sample-icon 137 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Objective: We performed whole-blood transcriptomic profiling for patients with rheumatoid arthritis (RA) who received rituximab (RTX). We aimed to identify a molecular signature that could predict the clinical response to RTX and transcriptomic changes after RTX therapy.

Publication Title

No associated publication

Sample Metadata Fields

Treatment

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accession-icon GSE10445
MERLION LUNG CANCER STUDY
  • organism-icon Homo sapiens
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Series of stage IB lung adenocarcinomas and large cell carcinomas. The aim of the study was to predict outcome using a Copy Number Driven Gene Expression signature.

Publication Title

Prediction of clinical outcome in multiple lung cancer cohorts by integrative genomics: implications for chemotherapy selection.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE73674
Endothelial matrix-metalloproteinase-10 promotes pulmonary arterial hypertension associated with systemic sclerosis
  • organism-icon Homo sapiens
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [CDF: HuEx10stv2_Hs_ENTREZG.cdf, Brainarray v16.0.0 (huex10st)

Description

Pulmonary endothelial dysfunction plays an integral role in mediating the initiation and progression of pulmonary vascular remodelling, an important feature of pulmonary arterial hypertension (PAH). Our aim was to decipher the gene expression program of endothelial cells derived from circulating endothelial progenitor (EPCs) to gain insight into the pathological process of PAH associated with systemic sclerosis (SSc), which is the most extreme vascular phenotype of this disease.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
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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)

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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