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accession-icon GSE136582
Differential gene expression microarray analysis of Tregs and Teff cells expanded by TCR-dependent Vs independent methods
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

CD4+ cells from Foxp3.eGFP mice containing Foxp3- Teff and Foxp3+ Treg cells were treated with anti-CD3/CD28 monoclonal antibodies or soluble OX40L and JAG1 for 3 days to induce TCR-dependent vs TCR-independent Treg proliferation. Untreated fresh CD4+ T-cells used as control. Post treatment T-cell proliferation was confirmed by Cell Trace violet dilution and Foxp3+ (Treg) and Foxp3-(Teff) were sorted. Differential gene expression profiling between Tregs and Teff cells among control, anti-CD3/CD28 and OX40L-JAG1 treated cultured was performed using affymetrix mouse gene 2.0 ST micro array.

Publication Title

OX40L-JAG1-Induced Expansion of Lineage-Stable Regulatory T Cells Involves Noncanonical NF-κB Signaling.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP121892
Chicken telencephalon RNAseq
  • organism-icon Gallus gallus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Embryonic chicken telencephalon nuclei were isolated for RNAseq to identify transcripts differentially expressed across different brain regions.

Publication Title

Neocortical Association Cell Types in the Forebrain of Birds and Alligators.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE3188
Hypoxic regulation of gene expression is dominated by the HIF system and can be mimicked by DMOG
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The response of cells to hypoxia is characterised by co-ordinated regulation of many genes. Studies of the regulation of the expression of many of these genes by oxygen has implicated a role for the heterodimeric transcription factor hypoxia inducible factor (HIF). The mechanism of oxygen sensing which controls this heterodimeric factor is via oxygen dependent prolyl and asparaginyl hydroxylation by specific 2-oxoglutarate dependent dioxygenases (PHD1, PHD2, PHD3 and FIH-1). Whilst HIF appears to have a major role in hypoxic regulation of gene expression, it is unclear to what extent other transcriptional mechanisms are also involved in the response to hypoxia. The extent to which 2-oxoglutarate dependent dioxygenases are responsible for the oxygen sensing mechanism in HIF-independent hypoxic gene regulation is also unclear. Both the prolyl and asparaginyl hydroxylases can be inhibited by dimethyloxalylglycine (DMOG). Such inhibition can produce activation of the HIF system with enhanced transcription of target genes and might have a role in the therapy of ischaemic disease. We have examined the extent to which the HIF system contributes to the regulation of gene expression by hypoxia, to what extent 2-oxoglutarate dependent dioxygenase inhibitor can mimic the hypoxic response and the nature of the global transcriptional response to hypoxia. We have utilised microarray assays of mRNA abundance to examine the gene expression changes in response to hypoxia and to DMOG. We demonstrate a large number of hypoxically regulated genes, both known and novel, and find a surprisingly high level of mimicry of the hypoxic response by use of the 2-oxoglutarate dependent dioxygenase inhibitor, dimethyloxalylglycine. We have also used microarray analysis of cells treated with small interfering RNA (siRNA) targeting HIF-1alpha and HIF-2alpha to demonstrate the differing contributions of each transcription factor to the transcriptional response to hypoxia. Candidate transcripts were confirmed using an independent microarray platform and real-time PCR. The results emphasise the critical role of the HIF system in the hypoxic response, whilst indicating the dominance of HIF-1alpha and defining genes that only respond to HIF-2alpha.

Publication Title

Concordant regulation of gene expression by hypoxia and 2-oxoglutarate-dependent dioxygenase inhibition: the role of HIF-1alpha, HIF-2alpha, and other pathways.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE72718
Expression data from colorectal cancer and liver metastasis
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

To identify the driver factors in liver metastasis of colorectal cancer, and seek for possible biomarkers, we applied array trascriptome detection using approaches tailored to FFPE derived RNA

Publication Title

Weighted gene co-expression network analysis of colorectal cancer liver metastasis genome sequencing data and screening of anti-metastasis drugs.

Sample Metadata Fields

Specimen part

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accession-icon E-MEXP-1195
Transcription profiling of rat to investigate effects of hyperglycaemi and genetic background on gene expression
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

Effects of hyperglycaemia and genetic background differences on renal gene expression

Publication Title

Comparative analysis of methods for gene transcription profiling data derived from different microarray technologies in rat and mouse models of diabetes.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Subject

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accession-icon SRP049391
Next-Generation Sequencing Analysis Reveals Differential Expression Profiles of miRNA-mRNA Target Pairs in KSHV-Infected Cells [mRNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

This SuperSeries is composed of the SubSeries listed below. Purpose: Kaposi’s sarcoma (KS)-associated herpesvirus (KSHV) causes several lymphoproliferative disorders, including KS, a common AIDS-associated malignancy. Cellular and viral microRNAs (miRNAs) have been shown to play important roles in regulating the expression of genes in oncogenesis. Herpesviruses, including KSHV, encode for miRNAs that are involved in angiogenesis, inflammation and apoptosis. A better knowledge of the miRNA-mediated pathways that regulate KSHV infection is therefore essential for an improved understanding of viral infection and pathogenesis. Methods: In this study, we used deep sequencing to analyze miRNA, both viral and human, and mRNA expression in KS tumor-derived human cells. Results: This approach revealed 153 differentially expressed human miRNAs between KSHV-positive and -negative cells. Differential expression of eight miRNAs was independently confirmed by qRT-PCR. We additionally showed that a majority (~73%) of KSHV-regulated miRNAs are down-regulated, including most members of the 14q32 miRNA cluster. Specifically, human miR-409-3p, which is known to target the pro-angiogenic growth factor angiogenin and the inflammation marker fibrinogen-beta, was significantly down-regulated in KSHV-infected cells based on deep sequencing and qRT-PCR. Despite this substantial down-regulation of cellular miRNAs, hsa-miR-708-5p was significantly up-regulated by KSHV and has been shown to directly inhibit pro-apoptotic protease Caspase-2. Finally, we evaluated to what extent there was an inverse correlation between miRNA and mRNA expression levels. Using filtered datasets, we identified relevant canonical pathways that were significantly enriched. Conclusion: Taken together, our data demonstrate that most human miRNAs affected by KSHV are repressed and our findings highlight the relevance of studying the post-transcriptional gene regulation of miRNAs for KSHV-associated malignancies. Overall design: Refer to individual Series. 6 samples analyzed (one cell type). Two experimental conditions: uninfected vs. chronically KSHV-infected cells (n=3). Two sequencing platforms: microRNA-Seq and mRNA-Seq.

Publication Title

Next-Generation Sequencing Analysis Reveals Differential Expression Profiles of MiRNA-mRNA Target Pairs in KSHV-Infected Cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP083323
Hhex regulates HSC self-renewal and stress hematopoiesis via repression of Cdkn2a
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The Hematopoietically-expressed homeobox transcription factor (Hhex) is important for the maturation of definitive hematopoietic progenitors and B-cells during development. We have recently shown that in adult hematopoiesis, Hhex is dispensable for maintenance of hematopoietic stem cells (HSCs) and myeloid lineages but essential for the commitment of Common Lymphoid Progenitors (CLPs) to lymphoid lineages. However, whether Hhex plays a role in HSC self-renewal and myeloid expansion during hematopoietic stress is unknown. Here we show that during serial bone marrow transplantation, Hhex-deleted HSCs are progressively lost, revealing an intrinsic defect in HSC self-renewal. Moreover, Hhex-deleted mice show markedly impaired hematopoietic recovery following myeloablation. In vitro, Hhex-null blast colonies were incapable of replating, implying a specific requirement for Hhex in immature hematopoietic progenitors. Transcriptome analysis of Hhex-null Lin-Sca+Kit+ (LSK) cells showed that Hhex deletion leads to the deregulation of Polycomb Repressive Complex 2 (PRC2) target genes, including an upregulation of Cdkn2a locus, encoding the cell cycle repressors p16Ink4a and p19Arf. Indeed, loss of Cdkn2a restored Hhex-null blast colony replating in vitro, as well as hematopoietic reconstitution following myeloablation in vivo. Thus, HSCs require Hhex to repress Cdkn2a to enable continued self-renewal and response to hematopoietic stress. Overall design: Transcriptional profiling of Hhex-deleted and wild-type LSK cells using RNA sequencing

Publication Title

Hhex Regulates Hematopoietic Stem Cell Self-Renewal and Stress Hematopoiesis via Repression of Cdkn2a.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP014760
TGF-beta/Smad2/3 signaling directly regulates several miRNAs in mouse ES Cells and early embryos
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Purpose: We aimed to identify miRNAs which are induced by the Activin/Nodal effectors, P-Smad2/3, in order to further our understanding of how P-Smad2/3 controls downstream gene expression in mouse ES cells to regulate crucial biological processes. Methods: We used a previously developed Tetracycline-On (Tet-On) system (TAG1) to manipulate the levels of P-Smad2/3 in mouse ES cells and performed an Illumina deep-sequencing screen to identify miRNAs which followed the P-Smad2/3 pathway. Results: We filtered the deep-seq data to identify a list of 28 miRNAs which showed a >1.25 fold increase in response to P-Smad2/3 induction and a >1.25 fold decrease in response to P-Smad2/3 repression. Conclusions: Our study represents a comprehensive global profiling of miRNA expression in response to changes in P-Smad2/3 levels in mouse ES cells. Overall design: miRNA profiles of TAG1 cells which were untreated (control), SB-431541 treated (P-Smad2/3 repressed), or Dox treated (P-Smad2/3 induced), were generated using Illumina GAII.

Publication Title

TGF-β/Smad2/3 signaling directly regulates several miRNAs in mouse ES cells and early embryos.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE138078
PRRX1 overexpression in MDA-MB-231 breast cancer cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

To investigate downstream targets of PRRX1, we used MDA-MB-231 (MDA231) breast cancer cells which express low level of PRRX1 to generate a stable cell line where human PRRX1 was ectopically overexpressed

Publication Title

A gene regulatory network to control EMT programs in development and disease.

Sample Metadata Fields

Specimen part

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accession-icon SRP116037
Identification of genes expressed in a mesenchymal subset regulating prostate organogenesis using tissue and single cell transcriptomics
  • organism-icon Rattus norvegicus
  • sample-icon 117 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina Genome Analyzer IIx

Description

Prostate organogenesis involves epithelial growth in response to inductive signalling from specialised subsets of mesenchyme. To identify regulators and morphogens active in mesenchyme, we performed transcriptomic analysis using Tag-seq, RNA-seq, and single cell RNA-seq and defined new mesenchymal subsets and markers. We documented transcript expression using Tag-seq and RNA-seq in female rat Ventral Mesenchymal Pad (VMP) as well as adjacent urethra comprised of smooth muscle and peri-urethral mesenchyme. Transcripts enriched in VMP were identified in Tag-seq data from microdissected tissue, and RNA-seq data derived from cell populations and single cells. We identified 400 transcripts as enriched or specific to the VMP using bio-informatic comparisons of Tag-seq and RNA-seq data. Comparison with single cell RNA-seq identified transcripts yielded 45 transcriptscommon to both approaches. Cell subset analysis showed that VMP and adjacent mesenchyme were composed of distinct cell types and that each tissue was comprised of two subgroups. Markers for these subgroups were highly subset specific. Thirteen transcripts were validated by qPCR to confirm cell specific expression in microdissected tissues, as well as expression in neonatal prostate. Immunohistochemical staining demonstrated that Ebf3 and Meis2 showed a restricted expression pattern in VMP condensed mesenchyme. Taken together, we demonstrate that the VMP shows limited cellular heterogeneity and that our high-resolution transcriptomic analysis identified new mesenchymal subset markers associated with prostate organogenesis. Overall design: Tag-sequencing, RNA-sequencing and single-cell RNA-sequencing on 2 female inductive mesenchymal tissues of the developing prostate/urogenital tract.

Publication Title

Identification of genes expressed in a mesenchymal subset regulating prostate organogenesis using tissue and single cell transcriptomics.

Sample Metadata Fields

No sample metadata fields

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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