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accession-icon GSE134760
Expression data from murine intrahepatic biliary organoids
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Mutations of isocitrate dehydrogenase (IDH) 1 or 2 occur in 10-30% of intrahepatic cholangiocarcinomas (ICCs). However, their functional roles in biliary carcinogenesis are still unknown.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Disease

View Samples
accession-icon GSE67457
Expression data from prostate cancer cell lines LNCap (androgen dependent) and DU145 (androgen independent), transfected with Pin1 or control siRNA
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Pin1 inhibiton exerts anti-oncogenic effects on LNCaP and DU145 cells despite the gene regulation patterns by Pin1 were different in both cells.

Publication Title

Pin1 Inhibitor Juglone Exerts Anti-Oncogenic Effects on LNCaP and DU145 Cells despite the Patterns of Gene Regulation by Pin1 Differing between These Cell Lines.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE16674
Analysis of gene expression in miR-34a overexpressing K562 cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

miR-34a is strongly induced upon TPA-induced megakaryocyte differentiation of K562 cells. To investigate the gene networks regulated by this miRNA during the process of differentiation we performed gene microarray analysis in K562 cells overexpressing miR-34a or a control sequence.

Publication Title

miR-34a contributes to megakaryocytic differentiation of K562 cells independently of p53.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE1133
tissue-specific pattern of mRNA expression
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 158 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The tissue-specific pattern of mRNA expression can indicate important clues about gene function. High-density oligonucleotide arrays offer the opportunity to examine patterns of gene expression on a genome scale. Toward this end, we have designed custom arrays that interrogate the expression of the vast majority of protein-encoding human and mouse genes and have used them to profile a panel of 79 human and 61 mouse tissues. The resulting data set provides the expression patterns for thousands of predicted genes, as well as known and poorly characterized genes, from mice and humans. We have explored this data set for global trends in gene expression, evaluated commonly used lines of evidence in gene prediction methodologies, and investigated patterns indicative of chromosomal organization of transcription. We describe hundreds of regions of correlated transcription and show that some are subject to both tissue and parental allele-specific expression, suggesting a link between spatial expression and imprinting.

Publication Title

A gene atlas of the mouse and human protein-encoding transcriptomes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10246
GNF Mouse GeneAtlas V3
  • organism-icon Mus musculus
  • sample-icon 181 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we profiled gene expression from a diverse array of normal tissues, organs, and cell lines in mice. Keywords: multiple tissues

Publication Title

Expression analysis of G Protein-Coupled Receptors in mouse macrophages.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE20181
Letrozole (Femara) early and late responses to treatment
  • organism-icon Homo sapiens
  • sample-icon 168 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

In the present investigation, we have exploited the opportunity provided by neoadjuvant treatment of a group of postmenopausal women with large operable or locally advanced breast cancer (in which therapy is given with the primary tumour remaining within the breast) to take sequential biopsies of the same cancers before and after 10-14 days or 90 days treatment with letrozole. RNA extracted from the biopsies has been subjected to Affymetrix microarray analysis and the data from paired biopsies interrogated to discover genes whose expression is most influenced by oestrogen deprivation.

Publication Title

Sequential changes in gene expression profiles in breast cancers during treatment with the aromatase inhibitor, letrozole.

Sample Metadata Fields

Sex, Specimen part, Subject, Time

View Samples
accession-icon GSE952
Transcriptome analysis in rat
  • organism-icon Rattus norvegicus
  • sample-icon 122 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

Large scale transcriptome analysis of Wistar and Sprague Dawley rat tissues.

Publication Title

Applications of a rat multiple tissue gene expression data set.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE5462
Letrozole (Femara) early response to treatment
  • organism-icon Homo sapiens
  • sample-icon 113 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

In the present investigation, we have exploited the opportunity provided by neoadjuvant treatment of a group of postmenopausal women with large operable or locally advanced breast cancer (in which therapy is given with the primary tumour remaining within the breast) to take sequential biopsies of the same cancers before and after 10-14 days treatment with letrozole. RNA extracted from the biopsies has been subjected to Affymetrix microarray analysis and the data from paired biopsies interrogated to discover genes whose expression is most influenced by oestrogen deprivation.

Publication Title

Changes in breast cancer transcriptional profiles after treatment with the aromatase inhibitor, letrozole.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE97
Large-scale analysis of the mouse transcriptome
  • organism-icon Mus musculus
  • sample-icon 88 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Array (mgu74a)

Description

High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we have generated and analyzed gene expression from a set of samples spanning a broad range of biological conditions. Specifically, we profiled gene expression from 91 human and mouse samples across a diverse array of tissues, organs, and cell lines. Because these samples predominantly come from the normal physiological state in the human and mouse, this dataset represents a preliminary, but substantial, description of the normal mammalian transcriptome. We have used this dataset to illustrate methods of mining these data, and to reveal insights into molecular and physiological gene function, mechanisms of transcriptional regulation, disease etiology, and comparative genomics. Finally, to allow the scientific community to use this resource, we have built a free and publicly accessible website (http://biogps.gnf.org) that integrates data visualization and curation of current gene annotations.

Publication Title

Large-scale analysis of the human and mouse transcriptomes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE96
Large-scale analysis of the human transcriptome
  • organism-icon Homo sapiens
  • sample-icon 85 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we have generated and analyzed gene expression from a set of samples spanning a broad range of biological conditions. Specifically, we profiled gene expression from 91 human and mouse samples across a diverse array of tissues, organs, and cell lines. Because these samples predominantly come from the normal physiological state in the human and mouse, this dataset represents a preliminary, but substantial, description of the normal mammalian transcriptome. We have used this dataset to illustrate methods of mining these data, and to reveal insights into molecular and physiological gene function, mechanisms of transcriptional regulation, disease etiology, and comparative genomics. Finally, to allow the scientific community to use this resource, we have built a free and publicly accessible website (http://expression.gnf.org) that integrates data visualization and curation of current gene annotations.

Publication Title

Large-scale analysis of the human and mouse transcriptomes.

Sample Metadata Fields

No sample metadata fields

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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