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accession-icon SRP067454
Myc-dependent gene activation and repression in oncogene-addicted liver tumors (RNA-seq)
  • organism-icon Mus musculus
  • sample-icon 43 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Tumors driven by activation of the transcription factor Myc generally show oncogene addiction. However, the gene-expression programs that depend upon sustained Myc activity in those tumors remain unknown. We have addressed this issue in a model of liver carcinoma driven by a reversible tet-Myc transgene, combining gene expression profiling with the mapping of Myc and RNA Polymerase II on chromatin. Switching off the oncogene in advanced carcinomas revealed that Myc is required for the continuous activation and repression of distinct sets of genes, constituting no more than half of those deregulated during tumor progression, and an even smaller subset of all Myc-bound genes. We further showed that a Myc mutant unable to associate with the co-repressor protein Miz1 is defective in the initiation of liver tumorigenesis. Altogether, our data provide the first detailed analysis of a Myc-dependent transcriptional program in a fully developed carcinoma, revealing that the critical effectors of Myc in tumor maintenance must be included within defined subsets (ca. 1,300 each) of activated and repressed genes. Overall design: RNAseq samples of control liver (n=11), tet-Myc tumors (n=16), tet-Myc tumors with short-term Myc inactivation (n=8), tet-MycVD tumors (n=11)

Publication Title

Identification of MYC-Dependent Transcriptional Programs in Oncogene-Addicted Liver Tumors.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE38554
Gene expression profiling of FFPE breast cancer samples
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We implemented an optimized processing, using alternative Chip Description Files (CDFs) and fRMA normalization, which improve the quality of downstream analysis.

Publication Title

Accurate data processing improves the reliability of Affymetrix gene expression profiles from FFPE samples.

Sample Metadata Fields

Specimen part

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accession-icon E-TABM-624
Transcription profiling by array of mouse primary osteoblastic cells from arrb2 knockout treated with parathyroid hormone
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Role of beta-arrestin2 in response to intermittent or continuous parathyroid hormone (PTH) treatment.

Publication Title

Beta-arrestin2 regulates parathyroid hormone effects on a p38 MAPK and NFkappaB gene expression network in osteoblasts.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Compound

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accession-icon GSE51452
Gene expression profiling of FFPE breast cancer samples [Affymetrix vs. Illumina]
  • organism-icon Homo sapiens
  • sample-icon 12 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

Use of formalin-fixed paraffin-embedded samples for gene expression studies in breast cancer patients.

Sample Metadata Fields

Specimen part

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accession-icon GSE51450
Gene expression profiling of FFPE breast cancer samples [Affymetrix platform]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The use of Affymetrix U133 2.0 Plus chips on FFPE samples when coupled with a qPCR-based sample pre-assessment step, yielded satisfactory results from the point of view of biological reliability. When compared with the Illumina DASL WG platform, specifically designed for degraded RNA, the data generated with the Affymetrix platform showed a wider interquartile range (IQR 1.32 vs 0.57, p<2.2x10-16) suggesting a superior discriminatory power within samples as indicated by the good agreement with the immunohistiochemically derived ER status.

Publication Title

Use of formalin-fixed paraffin-embedded samples for gene expression studies in breast cancer patients.

Sample Metadata Fields

Specimen part

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accession-icon GSE49893
RNA-Seq and expression microarray highlight different aspects of the fetal amniotic fluid transcriptome
  • organism-icon Homo sapiens
  • sample-icon 5 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

RNA-Seq and expression microarray highlight different aspects of the fetal amniotic fluid transcriptome.

Sample Metadata Fields

Sex

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accession-icon GSE49891
RNA-Seq and expression microarray highlight different aspects of the fetal amniotic fluid transcriptome [microarray]
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The second trimester fetal transcriptome can be assessed based on cell-free RNA found within the amniotic fluid supernatant. The objective of this study was to compare the suitability of two technologies for profiling the human fetal transcriptome: RNA-Seq and expression microarray. Comparisons were based on total numbers of gene detected, rank-order gene expression, and functional genomic analysis.

Publication Title

RNA-Seq and expression microarray highlight different aspects of the fetal amniotic fluid transcriptome.

Sample Metadata Fields

Sex

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accession-icon GSE46286
Global Gene Expression Analysis of Term Amniotic Fluid Cell-Free Fetal RNA
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The objective of this study was to identify the tissue expression patterns and biological pathways enriched in term amniotic fluid cell-free fetal RNA by comparing functional genomic analyses of term and second-trimester amniotic fluid supernatants.

Publication Title

Global gene expression analysis of term amniotic fluid cell-free fetal RNA.

Sample Metadata Fields

Sex

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accession-icon GSE60403
The obese fetal transcriptome
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The objective of this study was to identify the tissue expression patterns and biological pathways enriched in term cord blood fetal RNA of obese women compared to lean

Publication Title

Assessing the fetal effects of maternal obesity via transcriptomic analysis of cord blood: a prospective case-control study.

Sample Metadata Fields

Specimen part

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accession-icon GSE33168
The amniotic fluid transcriptome: a source of novel information about human fetal development
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Amniotic fluid (AF) is a complex biological material that provides a unique window into the developing human. Residual AF supernatant contains cell-free fetal RNA. The objective of this study was to develop an understanding of the AF core transcriptome by identifying the transcripts ubiquitously present in the AF supernatant of euploid midtrimester fetuses.

Publication Title

The amniotic fluid transcriptome: a source of novel information about human fetal development.

Sample Metadata Fields

Sex

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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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