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accession-icon SRP041461
A new dataset of spermatogenic vs oogenic transcriptomes in the nematode C. elegans
  • organism-icon Caenorhabditis elegans
  • sample-icon 57 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The nematode Caenorhabditis elegans is an important model for studies of germ cell biology, including specification as sperm or oocyte, the meiotic cell cycle and gamete differentiation. Fundamental to those studies is a genome-level knowledge of the germline transcriptome. Here we use RNA-Seq to identify genes expressed in isolated XX gonads, which are roughly 95% germline and 5% somatic gonadal tissue. We generate data from mutants making either sperm [fem-3(q96)] or oocytes (fog-2), both grown at 22°C. Our dataset identifies a total of 10,754 mRNAs in the polyadenylated transcriptome of XX gonads, with 1,723 enriched in spermatogenic gonads, 2,869 enriched in oogenic gonads and the remaining 6,274 not enriched in either. These spermatogenic, oogenic and gender-neutral gene datasets compare well with those of earlier studies, but double the number of genes identified. We also query our RNA-Seq data for differential exon usage and find 351 mRNAs with sex-specific isoforms. We suggest that this new dataset will prove useful for studies focusing on C. elegans germ cell biology. Overall design: Comparison of spermatogenic vs oogenic transcriptomes

Publication Title

A new dataset of spermatogenic vs. oogenic transcriptomes in the nematode Caenorhabditis elegans.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE27492
Deficiency of CXCR2, but Not Other Chemokine Receptors, Attenuates Autoantibody-Mediated Arthritis in a Murine Model
  • organism-icon Mus musculus
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

To examine patterns of gene expression in ankle synovial fluid cells and peripheral blood leukocytes during serum transferred arthritis.

Publication Title

Deficiency of CXCR2, but not other chemokine receptors, attenuates autoantibody-mediated arthritis in a murine model.

Sample Metadata Fields

Sex, Age, Time

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accession-icon GSE73070
RIP-Chip analysis of the C. elegans FOG-1 and FOG-3 proteins
  • organism-icon Caenorhabditis elegans
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

FOG-1/CPEB and FOG-3/Tob are the terminal regulators of the sex determination in C. elegans germ cells. CPEB and Tob proteins are both translational regulators. To investigate how FOG-1 and FOG-3 regulate germ cell sex determination we sought to identify the target mRNAs. We used transgenic epitope tagged animals (3xMyc::FOG-1 and FOG-3::3xFLAG). To identify the mRNA targets of FOG-1/CPEB and FOG-3/Tob on a genome wide scale we used RNA immunoprecipitation followed by microarray analysis. We found 81 putative mRNA targets of FOG-1 and 722 putative targets of FOG-3. 76 target mRNAs were common to both FOG-1 and FOG-3.

Publication Title

Genomic Analyses of Sperm Fate Regulator Targets Reveal a Common Set of Oogenic mRNAs in Caenorhabditis elegans.

Sample Metadata Fields

Specimen part

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accession-icon SRP058362
RNA-seq of postnatal day 0 (P0) wild-type and Satb2-/- cortices
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

The goal of the study was to compare gene expression of P0 wild-type and P0 Satb2-/- cortices. Total RNAs were isolated from P0 cortices dissected from wild-type and Satb2-/- mice (n=3 for each genotype), following Qiagen RNAeasy kit instruction.Sequence libraries were made following Illumina RNA TruSeq library preparation guide.The libaries were pair-end sequenced (50nt per end). Differentially expressed genes were identified by DESEQ. Overall design: Total RNAs were isolated from P0 cortices (3 control and 3 mutants), and sequenced on Illumina Genome Analyzer

Publication Title

Mutual regulation between Satb2 and Fezf2 promotes subcerebral projection neuron identity in the developing cerebral cortex.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE146093
Epigenomic and transcriptomic analysis of Systemic Sclerosis CD4+ T cells
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Human array (clariomshuman), Infinium MethylationEPIC

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Epigenomics and transcriptomics of systemic sclerosis CD4+ T cells reveal long-range dysregulation of key inflammatory pathways mediated by disease-associated susceptibility loci.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE146088
Epigenomic and transcriptomic analysis of Systemic Sclerosis CD4+ T cells [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Human array (clariomshuman)

Description

Epigenomic and transcriptomic analysis of Systemic Sclerosis CD4+ T cells reveals long range dysregulation of key inflammatory pathways mediated by disease-associated susceptibility loci range dysregulation of key inflammatory pathways mediated by disease-associated

Publication Title

Epigenomics and transcriptomics of systemic sclerosis CD4+ T cells reveal long-range dysregulation of key inflammatory pathways mediated by disease-associated susceptibility loci.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE15299
Modeling Inducible Human Tissue Neoplasia Identifies an ECM Interaction Network Involved in Cancer Progression
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

To elucidate mechanisms of cancer progression, we generated inducible human neoplasia in 3-dimensionally intact epithelial tissue. Gene expression profiling of both epithelia and stroma at specific time points during tumor progression revealed sequential enrichment of genes mediating discrete biologic functions in each tissue compartment. A core cancer progression signature was distilled using the increased signaling specificity of downstream oncogene effectors and subjected to network modeling. Network topology predicted that tumor development depends upon specific ECM-interacting network hubs. Blockade of one such hub, the b1 integrin subunit, disrupted network gene expression and attenuated tumorigenesis in vivo. Thus, integrating network modeling and temporal gene expression analysis of inducible human neoplasia provides an approach to prioritize and characterize genes functioning in cancer progression.

Publication Title

Modeling inducible human tissue neoplasia identifies an extracellular matrix interaction network involved in cancer progression.

Sample Metadata Fields

Specimen part

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accession-icon GSE44318
Expression data from Caenorhabditis elegans fed with 13L cocoa peptide
  • organism-icon Caenorhabditis elegans
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

Cocoa protein content is a very interesting source for isolation of antioxidant bio-peptides, which can be used for the prevention of age-related diseases. We use microarrays to study the global genome expression of C. elegans fed with a peptide (13L) isolated from cocoa.

Publication Title

A cocoa peptide protects Caenorhabditis elegans from oxidative stress and β-amyloid peptide toxicity.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE18015
Molecular analysis of ex-vivo CD133+ GBM cells revealed a common invasive and angiogenic profile but different proliferative signatures among high grade gliomas.
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Gliomas are the most common type of primary brain tumours, and in this group glioblastomas (GBMs) are the higher-grade gliomas with fast progression and unfortunate prognosis. Two major aspects of glioma biology that contributes to its awful prognosis are the formation of new blood vessels through the process of angiogenesis and the invasion of glioma cells. Despite of advances, two-year survival for GBM patients with optimal therapy is less than 30%. Even in those patients with low-grade gliomas, that imply a moderately good prognosis, treatment is almost never curative. Recent studies have demonstrated the existence of a small fraction of glioma cells with characteristics of neural stem cells which are able to grow in vitro forming neurospheres and that can be isolated in vivo using surface markers such as CD133. The aim of this study was to define the molecular signature of GBM cells expressing CD133 in comparison with non expressing CD133 cells. This molecular classification could lead to the finding of new potential therapeutic targets for the rationale treatment of high grade GBM.

Publication Title

Molecular analysis of ex-vivo CD133+ GBM cells revealed a common invasive and angiogenic profile but different proliferative signatures among high grade gliomas.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE55061
Expression data from RCAS PDGFB/Nestin tv-A glioma cells within Ptprd+/+p16-/- (n=2), Ptprd+/-p16-/- (n=2), and Ptrpd-/-p16-/- (n=3) mice.
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

PTPRD is a tumor suppressor of glioma that is frequently co-deleted with CDKN2A/p16. We show that Ptprd and p16 cooperate to promote gliomagenesis in the RCAS PDGFB / Nestin tv-A glioma mouse model.

Publication Title

Loss of the tyrosine phosphatase PTPRD leads to aberrant STAT3 activation and promotes gliomagenesis.

Sample Metadata Fields

Specimen part

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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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