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accession-icon GSE17362
miRNA expression, mRNA expression upon miRNA reconstitution, and direct mRNA target identification in prostate cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

MiR-130a, miR-203 and miR-205 jointly repress key oncogenic pathways and are downregulated in prostate carcinoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE22979
Profiling of direct mRNA targets of miR-130a, miR-203 and miR-205 in prostate cancer cell line LNCaP
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Micro RNAs (miRNAs) miR-130a, miR-203 and miR-205 are jointly downregulated in prostate cancer and act as repressors of AR-signaling. MiRNAs are small non-coding RNAs that regulate the expression of specific mRNA targets mainly by translational repression, mRNA deadenylation or cleavage. Reconstitution of these lost miRNAs in the LNCaP PCa cell line cause morphology changes, growth arrest, and apoptosis, increasing when the miRNAs were co-expressed. This series identifies direct targets of miR-130a, miR-203, and miR-205 by AGO2-RNA co-immunoprecipitation as described by (Beitzinger et al. 2007) upon miRNA reconstitution in LNCaP cells and analyzing AGO2-bound mRNAs using Affymetrix Genechips. Relative levels of AGO2 bound versus total RNA expression were compared between miRNA reconstituted and miR-scr transfected samples.

Publication Title

MiR-130a, miR-203 and miR-205 jointly repress key oncogenic pathways and are downregulated in prostate carcinoma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE93082
Expression and differential expression analysis of milk samples from healthy and diseased diary cows.
  • organism-icon Bos taurus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Expression and differential expression analysis of milk samples from healthy and diseased diary cows. Diseases were grouped by their occurrence in the mammary gland or extra-mammary. Furthermore, the diseases were classified by their severity. All cows were examined thoroughly by the dairy herd manager, trained staff, or a veterinarian. Expression and differential expression was assessed by using the Affymetrix Bovine Genome Array (GPL2112). Control animals (2-4 years old, 1st to 3th lactation, one animal 4th and one 8th lactation) showed no clinical signs of disease and had no abnormalities in the udder or milk. Their somatic cell count (SCC) was less than 100,000 cells/ml milk. Most of the control samples were taken during early lactation (10-100 days post-partum, dpp). Diseased cows were in their 1st to 8th lactation within 10-220dpp.

Publication Title

No associated publication

Sample Metadata Fields

Disease

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accession-icon GSE17315
mRNA expression upon reconstitution of miR-130a, miR-203 and miR-205 in prostate cancer cell line LNCaP
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Micro RNAs (miRNAs) miR-130a, miR-203 and miR-205 are jointly downregulated in prostate cancer and act as repressors of AR-signaling. MiRNAs are small non-coding RNAs that regulate the expression of specific mRNA targets mainly by translational repression, mRNA deadenylation or cleavage. Reconstitution of these lost miRNAs in the LNCaP PCa cell line cause morphology changes, growth arrest, and apoptosis, increasing when the miRNAs were co-expressed. Bioinformatic target prediction, mRNA expression and protein expression analysis upon overexpression of these miRNAs congruently identified targets known to be overexpressed in PCa and to be involved in AR trans-activation. This series profiles loss in mRNA expression in LNCaP cells transfected with one of the three miRNAs miR-130a, miR-203 and miR-205 compared to LNCaP cells transfected with a scramble miRNA.

Publication Title

MiR-130a, miR-203 and miR-205 jointly repress key oncogenic pathways and are downregulated in prostate carcinoma.

Sample Metadata Fields

Cell line

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accession-icon GSE108511
Comparison of the Transcriptome Profile of four Tissue Specific MSCs: Significance and Therapeutic Implications
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Performing global gene expression profiling for different types of (Mesenchymal stem cells) MSCs can provide important information that might help in understanding the biology and ontogeny of MSCs. Additionally, it might help in the understanding of the propensity and capacity of MSCs from a particular source to differentiate toward a particular lineage or adopt a certain fate.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE8991
A Gene Expression-Based Risk Stratification Model for Newly Diagnosed Multiple Myeloma
  • organism-icon Homo sapiens
  • sample-icon 248 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We recently defined a gene expression-based signature of high-risk multiple myeloma; this predictive signature was developed with and independently validated for newly diagnosed patients treated with high dose therapy and stem cell rescue. Here we use Phase 3 clinical trial data to show that this signature also predicts short survival in relapsed disease treated with single agent bortezomib or high dose dexamethasone. In addition, a survival signature derived with relapsed myeloma samples identified newly diagnosed patients with short survival. Taken together these data suggest that a similar biology underlies poor outcome in both newly diagnosed and relapsed myeloma and provide strong evidence that the high-risk signature is a powerful tool to identify patients who are candidates for new therapeutic regimens.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE29023
Predict cytogenetic abnormalities with gene expression profiles
  • organism-icon Homo sapiens
  • sample-icon 115 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cytogenetic abnormalities (CA) are important clinical parameters in various types of cancer, including multiple myeloma (MM). We developed a model to predict CA in patients with MM using gene expression profiling (GEP) and validated it by different cytogenetic techniques. The model was shown to have an accuracy up to 0.89. These results provide proof of concept for the hypothesis that GEP could serve as a one-stop data source for clinical molecular diagnosis and/or prognosis.

Publication Title

Prediction of cytogenetic abnormalities with gene expression profiles.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE8546
Gene Expression Changes in Myeloma Cells Following Short Term In-vivo Drug Exposure
  • organism-icon Homo sapiens
  • sample-icon 122 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

In vivo changes of gene expression profiles (GEP) of tumor cells 48hr after single agent therapy may vary by treatment and provide added predictive power over baseline GEP information. In newly diagnosed patients with multiple myeloma (MM), GEP data were obtained on tumor cells prior to and 48hr after dexamethasone (n=45) or thalidomide treatment (n=42); in case of relapsed MM, GEP data were obtained prior to (n=36) and after (n=19) lenalidomide administration. Dexamethasone and thalidomide induced both common and unique GEP changes. Combined baseline and 48hr changes of GEP in a subset of genes that were discovered in newly diagnosed MM also predicted event-free and overall survival in relapsed patients receiving lenalidomide. Combined with baseline molecular features, changes in GEP following short-term single agent treatment may help guide treatment decisions for patients with MM. The genes whose altered expression is related to eventual survival may also point to mechanisms of action and resistance to different classes of drugs.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE17306
Plasma cells from 52 patients with multiple myeloma: mRNA and miRNA expression profiling
  • organism-icon Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarray analyses of patient myeloma cells (n=52) to correlate individual miRNA expression profiles with GEP-based risk defined by mRNA expression profilesx as well as clinical features of the disease. Unlike for mRNAs, genome-wide elevation of miRNA expression patterns were significantly positively associated with a mRNA-based GEP-risk score (P <.01) and proliferation index (P <.05). Consistent with our observation of global deregulation of miRNA expression profiles, silencing EIF2C2/AGO2, a gene component of the mRNA-based high-risk signature and a master regulator of the genesis and functionality of all miRNAs, dramatically decreased viability in myeloma cell lines.

Publication Title

High-risk myeloma is associated with global elevation of miRNAs and overexpression of EIF2C2/AGO2.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE9656
Gene Expression Profiling Reveals Biological Insights into the Pathophysiology of Waldenstrms macroglobulinemia
  • organism-icon Homo sapiens
  • sample-icon 89 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Waldenstrms macroglobulinemia (WM) is a rare lymphoproliferative disorder with apparent morphologic and immunophenotypic heterogeneity and its origins are still poorly understood. In this study, using Gene-Expression Profiling (GEP), we compared the global mRNA expression patterns of CD19+ WM B cells (WM-BC) and CD138+ WM plasma cells (WM-PC) with those of normal CD19+ peripheral blood B cells (PB-BC), tonsil-BC (T-BC), CD138+ T-PC and bone marrow PC (N-PC).

Publication Title

No associated publication

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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