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accession-icon GSE46542
Focal amplification of HOXD-harboring chromosome region is implicated in multiple-walled carbon nanotubes-induced carcinogenicity
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Amplificaition of HOXD9 and HOXD13 genes was found in MWCNTs induced carcinogencity. By overexpression or silence of of HOXD9 and HOXD13 gene may alter tumorigenicity.

Publication Title

No associated publication

Sample Metadata Fields

Cell line

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accession-icon E-MEXP-582
Transcription profiling by array of CREM-knockout mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

To assess a potential role of transcription factor CREM in the long-term detrimental effects of beta1-adrenoceptor overexpression, four mouse lines were generated and studied: wild-type mice (WT), Crem-normal beta1AR-transgenic mice (beta1ARTG), Crem-deficient non-transgenic mice (Crem-/-) and Crem-deficient beta1AR-transgenic mice (beta1ARTG/Crem-/-). We focused on genes up- or down-regulated in transgenic mice due to the lacking of CREM (beta1ARTG/Crem-/- vs. beta1ARTG).

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP166108
The Power of Resolution: Contextualized Understanding of Chemical-biological Interactions
  • organism-icon Homo sapiens
  • sample-icon 535 Downloadable Samples
  • Technology Badge Icon

Description

Prediction of human response to chemical exposures is a major challenge in both pharmaceutical and toxicological research. Transcriptomics has been a powerful tool to explore chemical-biological interactions. However, limited throughput, high-costs and complexity of transcriptomic interpretations have yielded numerous studies lacking sufficient experimental context for predictive application. We utilized a novel high-throughput transcriptomics platform to explore a broad range of exposures to 24 reference compounds in both differentiated and undifferentiated human HepaRG cultures. Our goals were to 1) explore transcriptomic characteristics distinguishing liver injury compounds, 2) assess impacts of differentiation state on baseline and compound-induced responses (e.g., metabolically-activated), and 3) identify and resolve reference biological-response pathways and their quantitative translation to human exposures. Study data revealed the predictive utility of transcriptomic concentration-response modeling to quantitatively identify human liver injury compounds by their respective benchmark concentrations (BMCs), and model hepatic responses to classical reference compounds yielding plausibly-relevant estimations of human potency.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP158719
RNA sequencing of RPA KO cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

The goal of this study was to identify transcriptomic differences in A549 lung cancer cell line following knockout of the RPA1 gene. A549 cells, and many lung tumors, carry constitutive NRF2 activation. Understanding how RPA1 modulates transcription, particularly NRF2-mediated transcription, is relevant for future cancer therapeutics.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP064434
Homo sapiens strain:iPSC of Hep G2 Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

compare the RNA-seq profile with the original

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP064477
Homo sapiens strain:hep G2 Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

RNS-seq

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP064541
Homo sapiens Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

The induced pluripotent stem-like cells from human gastric cell line, KMU-CS12 (CS12) were derived from putative human gastric stem cell/progenitor cell clone. CS12 expressed cancer cell phenotypes, i.e. the ability of anchorage-independent growth high frequency (44%) and to the expression of Oct4, a stemness marker and many types of cancer cells, and tumor development in immune deficient mice.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP064548
Homo sapiens Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

ips CSN; KMU-CSN (CSN) is an immortal cell line that was derived from putative human gastricstem cell/progenitor cell clone, KMU-GI2

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9727
Gene Expression in S49 Deathless (D-) cell variant
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

The second messenger cAMP acts via protein kinase A (PKA) to induce apoptosis by mechanisms that are poorly understood. Here, we assessed a role for mitochondria and analyzed gene expression in cAMP/PKA-promoted apoptosis by comparing wild-type (WT) S49 lymphoma cells and the S49 variant, D- (cAMP-deathless), which lacks cAMP-promoted apoptosis but has wild-type levels of PKA activity and cAMP-promoted G1 growth arrest. Treatment of WT, but not D-, S49 cells with 8-CPT-cAMP for 24 h induced loss of mitochondrial membrane potential, mitochondrial release of cytochrome c and Smac and increase in caspase-3 activity. Gene expression analysis (using Affymetrix 430 2.0 Arrays) revealed that WT and D- cells incubated with 8-CPT-cAMP have similar, but non-identical, extents of cAMP-regulated gene expression at 2h (~800 transcripts) and 6h (~1000 transcripts) (|Fold|>2, P<0.06); by contrast, at 24h ~2500 and ~1100 transcripts were changed in WT and D- cells, respectively. Using an approach that combined regression analysis, clustering and functional annotation to identify transcripts that showed differential expression between WT and D- cells, we found differences in cAMP-mediated regulation of mRNAs involved in transcriptional repression, apoptosis, the cell cycle, RNA splicing, Golgi and lysosomes. The 2 cell lines differed in CREB phosphorylation and expression of the transcriptional inhibitor Icer and in cAMP-regulated expression of genes in the Inhibitor of apoptosis (IAP) and Bcl families. The findings indicate that cAMP/PKA-promoted apoptosis of lymphoid cells occurs via mitochondrial-mediated events and imply that such apoptosis involves gene networks in multiple biochemical pathways.

Publication Title

Gene expression signatures of cAMP/protein kinase A (PKA)-promoted, mitochondrial-dependent apoptosis. Comparative analysis of wild-type and cAMP-deathless S49 lymphoma cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE2413
Timecourse of Gene Expression responses to cAMP in S49 Cells
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Abstract

Publication Title

Gene expression patterns define key transcriptional events in cell-cycle regulation by cAMP and protein kinase A.

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)

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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