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accession-icon GSE44053
Identification of heat stress-targets of translational control by large scale analysis of Arabidopsis trancriptome and translatome.
  • organism-icon Arabidopsis thaliana
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Heat stress is one of the most prominent and deleterious environmental threads affecting plant growth and development. Upon high temperatures, plants launch specialized gene expression programs that promote stress protection and survival. These programs involve global and specific changes at the transcriptional and translational levels. However the coordination of these processes and their specific role in the establishment of the heat stress response is not fully elucidated.

Publication Title

Analysis of genome-wide changes in the translatome of Arabidopsis seedlings subjected to heat stress.

Sample Metadata Fields

Specimen part

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accession-icon GSE9593
Cellular Aging of Mesenchymal Stem Cells
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To determine gene expression changes during in vitro senescence of MSC we have analyzed differential expression of the corresponding early passage (P2) and senescent passage (PX). There were global changes in the gene expression profile that were reproducible in three independent donor samples.

Publication Title

Replicative senescence of mesenchymal stem cells: a continuous and organized process.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE56897
The transcription factor GATA6 allows self-renewal of colon adenoma stem cells by repressing BMP gene expression
  • organism-icon Homo sapiens
  • sample-icon 14 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

The transcription factor GATA6 enables self-renewal of colon adenoma stem cells by repressing BMP gene expression.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE56895
Identification of GATA6 target genes in LS174T colorectal cancer cells using gene expression arrays
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Aberrant activation of WNT signaling and loss of BMP signals represent the two main alterations leading to the initiation of colorectal cancer (CRC). Here we screen for genes required for maintaining the tumor stem cell phenotype and identify the zinc-finger transcription factor GATA6 as key regulator of the WNT and BMP pathways in CRC. GATA6 directly drives the expression of LGR5 in adenoma stem cells while it restricts BMP signaling to differentiated tumor cells. Genetic deletion of Gata6 in mouse colon adenomas increases the levels of BMP factors, which signal to block self-renewal of tumor stem cells. In human tumors, GATA6 competes with beta-catenin/TCF4 for binding to a distal regulatory region of the BMP4 locus that has been previously linked to increased susceptibility to develop CRC. Hence, GATA6 creates a permissive environment for tumor stem cell expansion by controlling the major signaling pathways that influence CRC initiation.

Publication Title

The transcription factor GATA6 enables self-renewal of colon adenoma stem cells by repressing BMP gene expression.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE56896
Identification of beta-cetenin/TCF4 target genes in LS174T colorectal cancer cells using gene expression arrays
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Aberrant activation of WNT signaling and loss of BMP signals represent the two main alterations leading to the initiation of colorectal cancer (CRC). Here we screen for genes required for maintaining the tumor stem cell phenotype and identify the zinc-finger transcription factor GATA6 as key regulator of the WNT and BMP pathways in CRC. GATA6 directly drives the expression of LGR5 in adenoma stem cells while it restricts BMP signaling to differentiated tumor cells. Genetic deletion of Gata6 in mouse colon adenomas increases the levels of BMP factors, which signal to block self-renewal of tumor stem cells. In human tumors, GATA6 competes with beta-catenin/TCF4 for binding to a distal regulatory region of the BMP4 locus that has been previously linked to increased susceptibility to develop CRC. Hence, GATA6 creates a permissive environment for tumor stem cell expansion by controlling the major signaling pathways that influence CRC initiation.

Publication Title

The transcription factor GATA6 enables self-renewal of colon adenoma stem cells by repressing BMP gene expression.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE15469
Transcriptional response of Drosophila cells to FHV RNA replication
  • organism-icon Drosophila melanogaster
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2), Affymetrix Drosophila Genome Array (drosgenome1)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Complementary transcriptomic, lipidomic, and targeted functional genetic analyses in cultured Drosophila cells highlight the role of glycerophospholipid metabolism in Flock House virus RNA replication.

Sample Metadata Fields

Cell line

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accession-icon GSE15466
Transcriptional response of Drosophila cells to FHV infection (infection experiment)
  • organism-icon Drosophila melanogaster
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

Virus infections induce cellular gene up and down regulation, and these changes often provide clues to cellular pathways utilized by viruses.

Publication Title

Complementary transcriptomic, lipidomic, and targeted functional genetic analyses in cultured Drosophila cells highlight the role of glycerophospholipid metabolism in Flock House virus RNA replication.

Sample Metadata Fields

Cell line

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accession-icon GSE15467
Transcriptional response of Drosophila cells to FHV RNA1 replicon expression (replicon experiment)
  • organism-icon Drosophila melanogaster
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Virus infections induce cellular gene up and down regulation, and these changes often provide clues to cellular pathways utilized by viruses.

Publication Title

Complementary transcriptomic, lipidomic, and targeted functional genetic analyses in cultured Drosophila cells highlight the role of glycerophospholipid metabolism in Flock House virus RNA replication.

Sample Metadata Fields

Cell line

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accession-icon SRP074765
Translational contributions to tissue-specificity in rhythmic and constitutive gene expression
  • organism-icon Mus musculus
  • sample-icon 82 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

BACKGROUND: The daily gene expression oscillations that underlie mammalian circadian rhythms show striking differences between tissues and involve post-transcriptional regulation. Both aspects remain poorly understood. We have used ribosome profiling to explore the contribution of translation efficiency to temporal gene expression in kidney, and contrasted our findings with liver data available from the same mice. RESULTS: Rhythmic translation of constantly abundant mRNAs affects largely nonoverlapping transcript sets with distinct phase clustering in the two organs. Moreover, tissue differences in translation efficiency modulate the timing and amount of protein biosynthesis from rhythmic mRNAs, consistent with organ-specificity in clock output gene repertoires and rhythmicity parameters. Our comprehensive datasets provided insights into translational control beyond temporal regulation. Between tissues, many transcripts show differences in translation efficiency, which are, however, of markedly smaller scale than mRNA abundance differences. Tissue-specific changes in translation efficiency are associated with specific transcript features and, intriguingly, globally counteracted and compensated transcript abundance variations, leading to higher similarity at the level of protein biosynthesis between both tissues. CONCLUSIONS: We show that tissue-specificity in rhythmic gene expression extends to the translatome and contributes to define the identities, the phases and the expression levels of rhythmic protein biosynthesis. Moreover, translational compensation of transcript abundance divergence leads to overall higher similarity at the level of protein production across organs. The unique resources provided through our study will serve to address fundamental questions of post-transcriptional control and differential gene expression in vivo. Overall design: A total of 48 mice were entrained under 12hours light:dark conditions for 2 weeks and also collected under 12hours light:dark. Mice were sacrificed every two hours during the 24 hours daily cycle. Two replicates per time point, each replicate is a pool of livers or kidneys from 2 animals.

Publication Title

Translational contributions to tissue specificity in rhythmic and constitutive gene expression.

Sample Metadata Fields

Sex, Cell line, Subject, Time

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accession-icon GSE51467
Expresion profile of TGR-1 (Myc+/+) and HO15.19 (Myc-/-) infected with a retrovirus expressing Hhex or GFP (controls)
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.0 ST Array (ragene20st)

Description

The aim of this experiment is to determine Hhex targets in the presence and absence of Myc.

Publication Title

Growth-promoting and tumourigenic activity of c-Myc is suppressed by Hhex.

Sample Metadata Fields

Cell line

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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)

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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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