refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 2909 results
Sort by

Filters

Technology

Platform

accession-icon GSE4286
Making a predictive heart failure expression profile in Ren2 rat left ventricles
  • organism-icon Rattus norvegicus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The intercalated disc of cardiac myocytes is emerging as a crucial structure in the heart. Loss of intercalated disc proteins like N-cadherin causes lethal cardiac abnormalities, mutations in intercalated disc proteins cause human cardiomyopathy. A comprehensive screen for novel mechanisms in failing hearts demonstrated that expression of the lysosomal integral membrane protein-2 (LIMP-2) is increased in cardiac hypertrophy and heart failure in both rat and human myocardium. Complete loss of LIMP-2 in genetically engineered mice did not affect cardiac development; however these LIMP-2 null mice failed to mount a hypertrophic response to increased blood pressure but developed cardiomyopathy. Disturbed cadherin localization in these hearts suggested that LIMP-2 has important functions outside lysosomes. Indeed, we also find LIMP-2 in the intercalated disc, where it associates with cadherin. RNAi-mediated knockdown of LIMP-2 decreases the binding of phosphorylated b-catenin to cadherin, while overexpression of LIMP-2 has the opposite effect. Taken together, our data show that lysosomal integrated membrane protein-2 is crucial to mount the adaptive hypertrophic response to cardiac loading. We demonstrate a novel role for LIMP-2 as an important mediator of the intercalated disc.

Publication Title

Lysosomal integral membrane protein 2 is a novel component of the cardiac intercalated disc and vital for load-induced cardiac myocyte hypertrophy.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE16659
Expression data of HGF/cMET pathway in prostate cancer DU145 cell line
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

DU145 prostate cancer cells were treated with 25 ng/ml hepatocyte growth factor (HGF) or vehicle for 2, 8, or 24 hours. HGF stimulates the cMET protein, a tyrosine kinase transmembrane protein.

Publication Title

Activation of c-MET induces a stem-like phenotype in human prostate cancer.

Sample Metadata Fields

Cell line, Time

View Samples
accession-icon GSE48836
Transcript profiling of ERF115 transgenic Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This experiment was set up in order to identify the (direct) transcriptional targets of the Ethylene Response Factor 115 (ERF115) transcription factor. Because ERF115 expression occurs in quiescent center (QC) cells and strong effects on the QC cells were observed in ERF115 overexpression plants, root tips were harvested for transcript profiling in order to focus on root meristem and QC specific transcriptional targets.

Publication Title

ERF115 controls root quiescent center cell division and stem cell replenishment.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE41410
Co-expression of genes with ERG in prostate cancers and cell lines
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of TDRD1 as a direct target gene of ERG in primary prostate cancer.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE41408
Co-expression of genes with ERG in prostate cancers
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

ERG overexpression is the most frequent molecular alteration in prostate cancer. We analyzed different stages of prostate cancer to identify genes that were coexpressed with ERG overexpression. In primary prostate tumors, it was shown that TDRD1 expression was the strongest correlated gene with ERG overexpression and we suggest TDRD1 as a direct ERG target gene.

Publication Title

Identification of TDRD1 as a direct target gene of ERG in primary prostate cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE59745
Identification of novel long non-coding RNAs in prostate cancers
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Long non-coding RNAs show highly tissue and disease specific expression profiles. We analyzed prostate cancer and normal adjacent prostate samples to identify cancer-specific transcripts and found 334 candidates, of which 15 were validated by RT-PCR.

Publication Title

Novel long non-coding RNAs are specific diagnostic and prognostic markers for prostate cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE41407
Co-expression of genes with ERG in prostate cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

ERG overexpression is the most frequent molecular alteration in prostate cancer. We analyzed different stages of prostate cancer to identify genes that were coexpressed with ERG overexpression. In primary prostate tumors, it was shown that TDRD1 expression was the strongest correlated gene with ERG overexpression and we suggest TDRD1 as a direct ERG target gene.

Publication Title

Identification of TDRD1 as a direct target gene of ERG in primary prostate cancer.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE84758
Transcriptomic, (phospho)proteomic, and metabolomic analysis of tumor-comprising cells treated by photodynamic therapy
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Illumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Multi-OMIC profiling of survival and metabolic signaling networks in cells subjected to photodynamic therapy.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE84757
Transcriptomic, (phospho)proteomic, and metabolomic analysis of tumor-comprising cells treated by photodynamic therapy [mouse]
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Photodynamic therapy (PDT) is a tumor treatment strategy that relies on the production of reactive oxygen species (ROS) in the tumor following local illumination. Although PDT has shown promising results in the treatment of non-resectable perihilar cholangiocarcinoma, it is still employed palliatively. In this study, tumor-comprising cells (i.e., cancer cells, endothelial cells, macrophages) were treated with the photosensitizer zinc phthalocyanine that was encapsulated in cationic liposomes (ZPCLs). Post-PDT survival pathways were studied following sublethal (50% lethal concentration (LC50)) and supralethal (LC90) PDT using a multi-omics approach. ZPCLs did not exhibit toxicity in any of the cells as assessed by toxicogenomics. Sublethal PDT induced survival signaling in perihilar cholangiocarcinoma (SK-ChA-1) cells via mainly hypoxia-inducible factor 1 (HIF-1)-, nuclear factor of kappa light polypeptide gene enhancer in B cells (NF-B)-, activator protein 1 (AP-1)-, and heat shock factor (HSF)-mediated pathways. In contrast, supralethal PDT damage was associated with a dampened survival response. (Phospho)proteomic and metabolomic analysis showed that PDT-subjected SK-ChA-1 cells downregulated proteins associated with epidermal growth factor receptor (EGFR) signaling, particularly at LC50. PDT also affected various components of glycolysis and the tricarboxylic acid cycle as well as metabolites involved in redox signaling. In conclusion, sublethal PDT activates multiple pathways in tumor parenchymal and non-parenchymal cells that, in tumor cells, transcriptionally regulate cell survival, proliferation, energy metabolism, detoxification, inflammation/angiogenesis, and metastasis. Accordingly, sublethally afflicted tumor cells are a major therapeutic culprit. Our multi-omics analysis unveiled multiple druggable targets for pharmacological intervention.

Publication Title

Multi-OMIC profiling of survival and metabolic signaling networks in cells subjected to photodynamic therapy.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE19188
Expression data for early stage NSCLC
  • organism-icon Homo sapiens
  • sample-icon 156 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We identified a tumor signature of 5 genes that aggregates the 156 tumor and normal samples into the expected groups. We also identified a histology signature of 75 genes, which classifies the samples in the major histological subtypes of NSCLC. A prognostic signature of 17 genes showed the best association with post-surgery survival time. The performance of the signatures was validated using a patient cohort of similar size

Publication Title

Gene expression-based classification of non-small cell lung carcinomas and survival prediction.

Sample Metadata Fields

Sex, Specimen part

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

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact