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accession-icon SRP143395
Leveraging chromatin accessibility for transcriptional regulatory network inference in T Helper 17 Cells [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 134 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Illumina Genome Analyzer IIx, Illumina HiSeq 2000

Description

Transcriptional regulatory networks (TRNs) provide insight into cellular behavior by describing interactions between transcription factors (TFs) and their gene targets. The Assay for Transposase Accessible Chromatin (ATAC)-seq, coupled with transcription-factor motif analysis, provides indirect evidence of chromatin binding for hundreds of TFs genome-wide. Here, we propose methods for TRN inference in a mammalian setting, using ATAC-seq data to influence gene expression modeling.   We rigorously test our methods in the context of T Helper Cell Type  17 (Th17) differentiation, generating new ATAC-seq data to complement existing Th17 genomic resources (plentiful gene expression data, TF knock-outs and ChIP-seq experiments).  In this resource-rich mammalian setting our extensive benchmarking provides quantitative, genome-scale evaluation of TRN inference combining ATAC-seq and RNA-seq data. We refine and extend our previous Th17 TRN, using our new TRN inference methods to integrate all Th17 data (gene expression, ATAC-seq, TF KO, ChIP-seq). We highlight new roles for individual TFs and groups of TFs (“TF-TF modules”) in Th17 gene regulation.  Given the popularity of ATAC-seq (a widely adapted protocol with high resolution and low sample input requirements),  we anticipate that application of our methods will improve TRN inference in new mammalian systems and be of particular use for rare, uncharacterized cell types. Overall design: Gene expression (RNA-seq) of naive and Th17- and Th0-polarized CD4 T Cells

Publication Title

Leveraging chromatin accessibility for transcriptional regulatory network inference in T Helper 17 Cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP061499
An IL-23R/IL-22 circuit regulates epithelial serum amyloid A to promote local effector Th17 responses II [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: The goals of this study are to compare in vitro polarized T helper 17 cell transcriptome profiling (RNA-seq) in the presence or absence of recombinant murine SAA1 Methods: Th17 mRNA profiles of 96hrs in vitro cultured T helper 17 cells treated with vehicle or recombinant murine SAA1 were generated by deep sequencing, using Illumina RapidRun. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) and TopHat followed by CuffDiff. qRT–PCR validation was performed using SYBR Green assays. Results: 177 genes were changed more than 2 folds in the presence of recombinant murine SAA1. Conclusions: Our study suggest that SAA1 could augment subset of Th17 transcription program in vitro. Overall design: mRNA profiles of 48hr in vitro cultured Th17 from wild type (WT) mice were generated by deep sequencing using Illumina RapidRun.

Publication Title

An IL-23R/IL-22 Circuit Regulates Epithelial Serum Amyloid A to Promote Local Effector Th17 Responses.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP060453
An IL-23R/IL-22 circuit regulates epithelial serum amyloid A to promote local effector Th17 responses [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: The goals of this study are to compare mRNAs expressed by Th17 cells and ILC3s in small intestine of lamina propria of mice. Methods: Small intestine were digested with collagenase, dispase, and DNase. Percoll enriched lamina propria Th17 and ILCs sorted by BD ARIA II. Total RNA were harvested and sequencing were performe. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) and TopHat followed by CuffDiff. qRT–PCR validation was performed using SYBR Green assays. Results: Small intestine Th17 cells and ILCs exhibit differential gene expression profiles. Overall design: compare mRNAs expressed by Th17 cells and ILC3s in small intestine of lamina propria of mice.

Publication Title

An IL-23R/IL-22 Circuit Regulates Epithelial Serum Amyloid A to Promote Local Effector Th17 Responses.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE92994
Critical role of the transcription factors IRF1 and BATF in preparing the chromatin landscape during Type 1 regulatory cell differentiation
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Mouse Genome 430A Array (htmg430a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Critical role of IRF1 and BATF in forming chromatin landscape during type 1 regulatory cell differentiation.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon SRP095844
Critical role of the transcription factors IRF1 and BATF in preparing the chromatin landscape during Type 1 regulatory cell differentiation [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Type 1 regulatory T (Tr1) cells are induced by interleukin-27 (IL-27) and have critical roles in the control of autoimmunity and resolution of inflammation. Here, we show that the transcription factors IRF1 and BATF are induced early during treatment with IL-27 and are required for the differentiation and function of Tr1 cells in vitro and in vivo. Epigenetic and transcriptional analyses reveal that both transcription factors influence chromatin accessibility and expression of genes required for Tr1 cell function. IRF1 and BATF deficiencies uniquely alter the chromatin landscape, suggesting that these factors serve a pioneering function during Tr1 cell differentiation. Overall design: Transcriptinal analysis of IL27-induced of WT, Irf1 KO, and Batf KO cells

Publication Title

Critical role of IRF1 and BATF in forming chromatin landscape during type 1 regulatory cell differentiation.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE92940
Expression data for wildtype CD4+ T cells cells differentiated in Tr1 conditions for 2 hours
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Mouse Genome 430A Array (htmg430a)

Description

Type 1 regulatory T (Tr1) cells are induced by the interleukin-27 (IL-27) and have critical roles in the control of autoimmunity and resolution of inflammation. Here, we show that the transcription factors IRF1 and BATF are induced early during treatment with IL-27 and are required for the differentiation and function of Tr1 cells in vitro and in vivo . Epigenetic and transcriptional analyses reveal that both transcription factors influence chromatin accessibility and expression of genes required for Tr1 cell function. IRF1 and BATF deficiencies uniquely alter the chromatin landscape, suggesting that these factors serve a pioneering function during Tr1 cell differentiation.

Publication Title

Critical role of IRF1 and BATF in forming chromatin landscape during type 1 regulatory cell differentiation.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE9918
temporal profiling of retinal transcriptome regulation after IONT and IONC
  • organism-icon Rattus norvegicus
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

retinal ganglion cells die after optic nerve injury, either crush or transection. The molecular causesunderlying this degeneration are largely unkwon

Publication Title

Time course profiling of the retinal transcriptome after optic nerve transection and optic nerve crush.

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MEXP-2740
Transcription profiling by array of yeast wild type and haa1 deletion mutants following acetic acid stress
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

The experiment describes the transcriptional response of Saccharomyces cerevisiae BY4741 and of the deletion mutant Δhaa1 following an incubation in the presence of 50 mM acetic acid (at pH 4.0)

Publication Title

Genomic expression program involving the Haa1p-regulon in Saccharomyces cerevisiae response to acetic acid.

Sample Metadata Fields

Compound

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accession-icon SRP007864
Transcriptome changes in IL-10 treated peritoneal macrophages
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To try to identify the mechanism of STAT3s indirect action we have used a genomic approach to map the binding sites of STAT3 within the genome and also used RNA-seq technology to map the changes in RNA expression and transcript isoform abundance in response to IL-10. Overall design: Examination of transcriptome changes in peritoneal macrophages when treated with IL-10 for 4 hours. RNA was extracted and sequenced.

Publication Title

Genome-wide analysis of STAT3 binding in vivo predicts effectors of the anti-inflammatory response in macrophages.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon SRP009895
Systematic RNA-seq analysis of the early events of CD4+ T cell activation
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-seq was used to look at the transcriptome changes and the early events of T cell receptor stimulation in CD4+ T cells Overall design: CD4+ T cells were stimulated with immobilised anti-CD3/CD28 antibodies for 4 hours and RNA was extracted and subjected to RNA-seq analysis.

Publication Title

Discovery and characterization of new transcripts from RNA-seq data in mouse CD4(+) T cells.

Sample Metadata Fields

Sex, Specimen part, Cell line, Treatment, Subject

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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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