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accession-icon SRP082139
Time course analysis of gene expression during hypoxia in S. cerevisiae using RNA-Seq
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We used RNA-seq to monitor mRNA levels of all genes in response to hypoxia of wild-type yeast, S. cerevisiae (strain yMH914 with wildtype HAP1). To gain insights into how gene expression changes over time, cells were subjected to 100% nitrogen gas and collected after 0,5,10,30,60,120,180, and 240 minutes. Total RNA was extracted and mRNAs were enriched by polyA selection. The cDNA was prepared into a sequencing library, multiplexed and single-end sequenced by an Illumina HiSeq 2500 sequencer. After mapping with Tophat2, the number of reads per feature was calculated using HTSeq. Overall design: RNA-seq analysis of eight time points of a yeast strain grown in hypoxia. There are three biological replicates of the time course.

Publication Title

Time-Course Analysis of Gene Expression During the Saccharomyces cerevisiae Hypoxic Response.

Sample Metadata Fields

Subject

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accession-icon SRP132709
Whole blood transcriptome analysis of Septic shock patients according to early therapy response
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx, Illumina HiSeq 2500

Description

Septic shock is the most severe complication of sepsis, associated with high mortality. The patient's response to supportive therapy is very heterogeneous and the underlying mechanisms are still elusive. In order to identify which are the actors (genes and pathways) that play a role in establishing the response, we investigate the whole blood transcriptome in septic shock patients with positive and negative responses to early supportive hemodynamic therapy, assessed by changes in SOFA scores within the first 48 hours from ICU admission. We pinpointed genes and pathways that are differently modulated and enriched respectively within 48hrs between responders and non-responders. Overall design: We analyzed 31 patients (17 Responders and 14 Not Responders to early therapy). For each patient, 2 samples were collected. In particular the first sample (T1) collected within 16 hours from ICU admission whereas the second (T2) collected within 48 hours from ICU admission. Experimental groups (Responders and Not Responders) are defined accordingly with SOFA scores improvements within 48 hours.

Publication Title

Identification of a transcriptome profile associated with improvement of organ function in septic shock patients after early supportive therapy.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon GSE19528
Effect of c-Myb deficiency on pre-selection DP thymocytes
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Comparing the mRNA expression profiles of c-Myb deficient and c-Myb sufficient Tcra-/- DP thymocytes.

Publication Title

c-Myb promotes the survival of CD4+CD8+ double-positive thymocytes through upregulation of Bcl-xL.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE97243
Acute (2 hr) response to rxLeptin injection in preoptic area/hypothalamus/pituitary of early prometamorphic (NF stage 54) Xenopus laevis tadpoles
  • organism-icon Xenopus laevis
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Xenopus laevis Genome 2.0 Array (xlaevis2)

Description

Leptin binding to the leptin receptor (LepR) causes rapid signaling to the nucleus. We investigated the early (2 hr) transcriptional response to acute leptin injection (intracerebroventricular)

Publication Title

Leptin Induces Mitosis and Activates the Canonical Wnt/β-Catenin Signaling Pathway in Neurogenic Regions of <i>Xenopus</i> Tadpole Brain.

Sample Metadata Fields

Treatment

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accession-icon GSE28726
NKT, CD1d-aGC+ Va24-, and CD4 T cell clones from human peripheral blood
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarray analysis was performed to determine the transcriptional profiles of NKT, CD1d-aGC+ Va24-, and CD4 T cells.

Publication Title

A naive-like population of human CD1d-restricted T cells expressing intermediate levels of promyelocytic leukemia zinc finger.

Sample Metadata Fields

Specimen part

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accession-icon GSE81772
Multiple levels of transcriptional regulation by PLZF in NKT cell development
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Multiple layers of transcriptional regulation by PLZF in NKT-cell development.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE46243
Role of EGR2 transcription factor in T cell anergy
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Egr2-dependent gene expression profiling and ChIP-Seq reveal novel biologic targets in T cell anergy.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE46242
Egr2-dependent expression in T cell anergy
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

T cell anergy is one of the mechanisms contributing to peripheral tolerance, particularly in the context of progressively growing tumors and in tolerogenic treatments promoting allograft acceptance. We recently reported that early growth response gene 2 (Egr2) is a critical transcription factor for the induction of anergy in vitro and in vivo, which was identified based on its ability to regulate the expression of inhibitory signaling molecules diacylglycerol kinase (DGK)-a and -z. We reasoned that other transcriptional targets of Egr2 might encode additional factors important for T cell anergy and immune regulation. Thus, we conducted two sets of genome-wide screens: gene expression profiling of wild type versus Egr2-deleted T cells treated under anergizing conditions, and a ChIP-Seq analysis to identify genes that bind Egr2 in anergic cells. Merging of these data sets revealed 49 targets that are directly regulated by Egr2. Among these are inhibitory signaling molecules previously reported to contribute to T cell anergy, but unexpectedly, also cell surface molecules and secreted factors, including lymphocyte-activation gene 3 (Lag3), Class-I-MHC-restricted T cell associated molecule (Crtam), Semaphorin 7A (Sema7A), and chemokine CCL1. These observations suggest that anergic T cells might not simply be functionally inert, and may have additional functional properties oriented towards other cellular components of the immune system.

Publication Title

Egr2-dependent gene expression profiling and ChIP-Seq reveal novel biologic targets in T cell anergy.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP075293
Nuclear mRNA quality control is bypassed for rapid export of stress responsive transcripts [RNA-Seq]
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Comparative analyses of Mex67 and Npl3 binding to mRNA at normal growth condition (25째C) and upon shift to heat stress (30 min, 42째C). Overall design: Examination of two biological RNA Co-IP replicates of Mex67, Npl3 and no tag control at 25째C and upon shift to 30 min at 42째C (Heat stress) and subsequent Illumina RNA deep-sequencing

Publication Title

mRNA quality control is bypassed for immediate export of stress-responsive transcripts.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE81771
Multiple levels of transcriptional regulation by PLZF in NKT cell development [Mouse430_2]
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To identify genes that require PLZF for their regulation in NKT cells, we compared the developmental stages of thymic NKT cells from wildtype and PLZF-deficient mice

Publication Title

Multiple layers of transcriptional regulation by PLZF in NKT-cell development.

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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