refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 580 results
Sort by

Filters

Technology

Platform

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

View Samples
accession-icon SRP058667
RNA sequencing of matched nephrectomy samples [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

To address the need to study frozen clinical specimens using next-generation RNA, DNA, chromatin immunoprecipitation (ChIP) sequencing and protein analyses, we developed a biobank work flow to prospectively collect biospecimens from patients with renal cell carcinoma (RCC). We describe our standard operating procedures and work flow to annotate pathologic results and clinical outcomes. We report quality control outcomes, nucleic acid yields of our RCC submissions (N=16) to The Cancer Genome Atlas (TCGA) project, as well as newer discovery platforms by describing mass spectrometry analysis of albumin oxidation in plasma and 6 ChIP sequencing libraries generated from nephrectomy specimens after histone H3 lysine 36 trimethylation (H3K36me3) immunoprecipitation. From June 1, 2010, through January 1, 2013, we enrolled 328 patients with RCC. Our mean (SD) TCGA RNA integrity numbers (RINs) were 8.1 (0.8) for papillary RCC, with a 12.5% overall rate of sample disqualification for RIN <7. Banked plasma had significantly less albumin oxidation (by mass spectrometry analysis) than plasma kept at 25°C (P<.001). For ChIP sequencing, the FastQC score for average read quality was at least 30 for 91-95% of paired-end reads. In parallel, we analyzed frozen tissue by RNA sequencing and after genome alignments, only 0.2-0.4% of total reads failed the default quality check steps of Bowtie2, which was comparable to the disqualification ratio (0.1%) of the 786-O RCC cell line, prepared under optimal RNA isolation conditions. The overall correlation coefficients for gene expression between the Mayo Clinic vs. TCGA tissues ranged from 0.75 to 0.82. These data support the generation of high-quality nucleic acids for genomic analyses from banked RCC. Importantly, the protocol does not interfere with routine clinical care. Collections over defined time points during disease treatment further enhance collaborative efforts to integrate genomic information with outcomes. Overall design: Examination of RNA expression in ccRCC

Publication Title

A Multidisciplinary Biospecimen Bank of Renal Cell Carcinomas Compatible with Discovery Platforms at Mayo Clinic, Scottsdale, Arizona.

Sample Metadata Fields

No sample metadata fields

View Samples
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

View Samples
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

View Samples
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 SRP056153
RNA sequencing of SETD2 isogenic renal cell carcinoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

RNA sequencing of SETD2 isogenic renal cell carcinoma cell lines. Overall design: Examination of RNA expression in SETD2 isogenic cell lines

Publication Title

High-resolution profiling of histone h3 lysine 36 trimethylation in metastatic renal cell carcinoma.

Sample Metadata Fields

No sample metadata fields

View Samples
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

View Samples
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

View Samples
accession-icon GSE66646
Expression data from ethanol and saline exposed mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Alteration of Gene Expression, DNA Methylation, and Histone Methylation in Free Radical Scavenging Networks in Adult Mouse Hippocampus following Fetal Alcohol Exposure.

Sample Metadata Fields

Sex, Specimen part, Treatment

View Samples
accession-icon GSE66644
Expression data from ethanol and saline exposed mice [mRNA]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Mouse models of Fetal Alcohol Spectrum Disorder can be used to assess molecular changes underlying the disorder. Neonatal ethanol exposure in mice can be used to model third trimester ethanol exposure in humans.

Publication Title

Alteration of Gene Expression, DNA Methylation, and Histone Methylation in Free Radical Scavenging Networks in Adult Mouse Hippocampus following Fetal Alcohol Exposure.

Sample Metadata Fields

Sex, Specimen part, Treatment

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