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accession-icon SRP060705
Hobit and Blimp1 instruct a universal transcriptional program of tissue-residency in lymphocytes
  • organism-icon Mus musculus
  • sample-icon 38 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Tissue-resident memory T cells (Trm) are non-circulating memory T cells that localize to portals of pathogen entry such as the skin, gut and lung where they provide efficient early protection against reinfection. Trm are characterized by a molecular profile that actively prevents egress from peripheral sites including the constitutive expression of the lectin CD69 and down-regulation of the chemokine receptor (CCR)7 and sphingosine-1-phosphate receptor 1 (S1PR1). This program is partially mediated by down-regulation of the transcription factor KLF2; however, to date no transcriptional regulator specific to Trm has been identified. Here we show that the Blimp1 related transcription factor Hobit is specifically upregulated in Trm and together with Blimp1, mediates the development and maintenance of Trm in various tissues including skin, gut, liver and kidney. Importantly, we found that the Hobit/Blimp1 transcriptional module is also required for other tissue-resident lymphocytes including Natural Killer T (NKT) cells and liver tissue-resident NK cells (trNK). We show that these populations share a universal transcriptional program with Trm instructed by Hobit and Blimp1 that includes the repression of CCR7, S1PR1 and KLF2 thereby enforcing tissue retention. Our results identify Hobit and Blimp1 as major common regulators that drive the differentiation of distinct populations of tissue-resident lymphocytes. Overall design: RNA-seq data were generated for multiple tissues in mice to investigate global expression difference between resident and circulating cells.

Publication Title

Hobit and Blimp1 instruct a universal transcriptional program of tissue residency in lymphocytes.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP040588
Regulation of the mouse heart transcriptome by Celf1
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

The CUG-BP and ETR-3-like factor 1 (Celf1) RNA binding protein plays an important role in heart and muscle development, and is over-expressed in the disease myotonic dystrophy. Celf1 has known roles in regulation of RNA splicing, RNA stability, and protein translation. To identify transcriptome-wide targets of the Celf1 protein in heart, we performed RNA-Seq of polyA+ RNA from mice inducibly expressing Celf1 in the heart. Overall design: Mice were engineered to express the reverse tetracycline trans-activator (rtTA) from a heart-specific alpha myosin heavy chain promoter, and an N-terminal Flag-tagged version of the LYLQ isoform of human Celf1 from a tet-inducible promoter. Mice were fed doxycycline to induce Celf1 expression in heart, and hearts were harvested from 3 mice each at 12 hour, 24 hour, 72 hour, and 7 day time points. To account for potential doxycycline-dependent effects, control mice were fed doxycycline for 72 hours but these mice did not contain the tet-inducible Celf1 cassette. In total, 15 hearts were analyzed by RNA-Seq.

Publication Title

Antagonistic regulation of mRNA expression and splicing by CELF and MBNL proteins.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP048521
Functional Antagonism Between CELF and Mbnl Proteins in Cytoplasm and Nucleus [muscle]
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

The CUG-BP and ETR-3-like factor 1 (Celf1) RNA binding protein plays an important role in heart and muscle development, and is over-expressed in the disease myotonic dystrophy. Celf1 has known roles in regulation of RNA splicing, RNA stability, and protein translation. To identify transcriptome-wide targets of the Celf1 protein in heart, we performed RNA-Seq of polyA+ RNA from mice inducibly expressing Celf1 in the muscle. Overall design: Mice were engineered to express the reverse tetracycline trans-activator (rtTA2S-M2) from the rate myosin light chain 1/3 promoter/enhancer, and an N-terminal Flag-tagged version of the LYLQ isoform of human Celf1 from a tet-inducible promoter. Mice were fed doxycycline to induce Celf1 expression in muscle, and gastrocnemius muscles were harvested from 3 mice each at 12 hour, 24 hour, 72 hour, and 7 day time points. To account for potential doxycycline-dependent effects, control mice were fed doxycycline for 72 hours but these mice did not contain the tet-inducible Celf1 cassette. In total, 15 gastrocnemius samples were analyzed by RNA-Seq.

Publication Title

Antagonistic regulation of mRNA expression and splicing by CELF and MBNL proteins.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP048523
Functional Antagonism Between CELF and Mbnl Proteins in Cytoplasm and Nucleus [hearts]
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

The CUG-BP and ETR-3-like factor 1 (Celf1) RNA binding protein plays an important role in heart and muscle development, and is over-expressed in the disease myotonic dystrophy. Celf1 has known roles in regulation of RNA splicing, RNA stability, and protein translation. To identify transcriptome-wide targets of the Celf1 protein in heart, we performed RNA-Seq of polyA+ RNA from mice inducibly expressing Celf1 in the muscle. Overall design: Mice were engineered to express the reverse tetracycline trans-activator (rtTA2S-M2) from the rate myosin light chain 1/3 promoter/enhancer, and an N-terminal Flag-tagged version of the LYLQ isoform of human Celf1 from a tet-inducible promoter. Mice were fed doxycycline to induce Celf1 expression in muscle, and gastrocnemius muscles were harvested from 3 mice each at 12 hour, 24 hour, 72 hour, and 7 day time points. To account for potential doxycycline-dependent effects, control mice were fed doxycycline for 72 hours but these mice did not contain the tet-inducible Celf1 cassette. In total, 15 gastrocnemius samples were analyzed by RNA-Seq.

Publication Title

Antagonistic regulation of mRNA expression and splicing by CELF and MBNL proteins.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP070819
Enhanced CLIP uncovers IMP protein-RNA targets in human pluripotent stem cells important for cell adhesion and survival [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Human pluripotent stem cells (hPSCs) require precise control of post-transcriptional RNA networks to maintain proliferation and survival. Using a recently developed enhanced UV crosslinking and immunoprecipitation (eCLIP) approach, we identify RNA targets of the IMP/IGF2BP family of RNA-binding proteins in hPSCs. At the broad region- and binding site-level IMP1 and IMP2 show reproducible binding to a large and overlapping set of 3''UTR-enriched targets. RNA Bind-N-Seq applied to recombinant full-length IMP1 and IMP2 reveals CA-rich motifs that are enriched in eCLIP-defined binding sites. We observe that IMP1 loss in hPSCs recapitulates IMP1 phenotypes, including a reduction in cell adhesion and an increase in cell death. For cell adhesion, in hPSCs we find IMP1 maintains levels of integrin mRNA, specifically regulating RNA stability of ITGB5. Additionally, we show IMP1 can be linked to hPSC survival via direct target BCL2. Thus, transcriptome-wide binding profiles identify hPSC targets modulating well-characterized IMP1 roles. Overall design: eCLIP-seq was performed in biological replicate for IGF2BP1/IMP1 and IGF2BP2/IMP2, as well as one replicate each for IGF2BP3/IMP3, RBFOX2, and an IgG control. Each sample has a size-matched input control for analysis

Publication Title

Enhanced CLIP Uncovers IMP Protein-RNA Targets in Human Pluripotent Stem Cells Important for Cell Adhesion and Survival.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE97549
Global microarray analysis of ONECUT2 transcription factor overexpression in human prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Treatment of prostate cancer by hormone suppression leads to the appearance of aggressive variants with variable or no dependence on the androgen receptor. Here we show that the developmental transcription factor, ONECUT2, is a master regulator of the AR network that is highly active in castration-resistant prostate cancer (CRPC).

Publication Title

ONECUT2 is a targetable master regulator of lethal prostate cancer that suppresses the androgen axis.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE97548
ONECUT2 inhibition by chemical compound treatment in 22Rv1
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To evaluate the specificity for inhibition of expression of OC2 target genes we generated microarray data of 22Rv1 cells treated for 4, 6 and 16 hours with the small molecule inhibitor.

Publication Title

ONECUT2 is a targetable master regulator of lethal prostate cancer that suppresses the androgen axis.

Sample Metadata Fields

Cell line, Treatment, Time

View Samples
accession-icon GSE75700
Differential gene expression in the liver among crossbred beef steers with divergent gain and feed intake phenotypes
  • organism-icon Bos taurus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Bovine Gene 1.1 ST Array (bovgene11st)

Description

Steer liver transcriptome

Publication Title

Differential expression of genes related to gain and intake in the liver of beef cattle.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE38027
Gene expression analysis of THP-1 cells co-cultured with platelet-like particles
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Abstract. The role of platelets in hemostasis and thrombosis is clearly established; however, the mechanisms by which platelets mediate inflammatory and immune pathways are less well understood. Platelets interact and modulate the function of blood and vascular cells by releasing bioactive molecules. Although the platelet is anucleate, it contains transcripts that may mirror disease. Platelet mRNA is only associated with low-level protein translation, however, platelets have a unique membrane structure allowing for the passage of small molecules, leading to the possibility that its cytoplasmic RNA may be passed to nucleated cells. To examine this question, platelet-like particles with labeled RNA were co-cultured with vascular cells. Co-culture of platelet-like particles with activated THP-1, monocytic, and endothelial cells led to visual and functional RNA transfer. Post-transfer microarray gene expression analysis of THP-1 cells showed an increase in HBG1/HBG2 and HBA1/HBA2 expression which was directly related to the transfer. Infusion of wild-type platelets into a TLR2 deficient mouse model established in vivo confirmation of select platelet RNA transfer to leukocytes. By specifically transferring green fluorescent protein, it was also observed that external RNA was functional in the recipient cells. The observation that platelets possess the capacity to transfer cytosolic RNA suggests a new function for platelets in the regulation of vascular homeostasis.

Publication Title

Platelets and platelet-like particles mediate intercellular RNA transfer.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE49910
An Expression Atlas of Human Primary Cells: Inference of Gene Function from Coexpression Networks
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we have combined a large number of publically available microarray datasets (745 samples, from over 100 separate studies) derived from human primary cells and analysed on the Affymetrix U133plus2.0 array. Using the network analysis tool BioLayout Express3D we have constructed and clustered large correlation graphs of these data in order to identify robust co-associations of genes expressed in a wide variety of cell lineages. We discuss the biological significance of a number of these associations, in particular the coexpression of key transcription factors with the genes that they are likely to control. We consider the regulation of genes in human primary cells and specifically in the human mononuclear phagocyte system. Of particular note is the fact that these data do not support the identity of putative markers of antigen-presenting dendritic cells, nor classification of M1 and M2 activation states, a current subject of debate within immunological field. We have provided this data resource on the BioGPS web site (www.biogps.org) and on macrophages.com (www.macrophages.com).

Publication Title

An expression atlas of human primary cells: inference of gene function from coexpression networks.

Sample Metadata Fields

Specimen part

View Samples
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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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