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accession-icon SRP043962
Nuclear stability and transcriptional directionality separate functionally distinct RNA species
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

Sequencing of 5' ends of RNA molecules from control and exosome-depleted HeLa-S3 cells. Overall design: CAGE library construction from RNA extracted from control and exosome-depleted cells.

Publication Title

Nuclear stability and transcriptional directionality separate functionally distinct RNA species.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP150408
The RNA exosome contributes to gene expression regulation during stem cell differentiation [CAGE]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Gene expression programs change during cellular transitions. It is well established that a network of transcription factors and chromatin modifiers regulate RNA levels during embryonic stem cell (ESC) differentiation, but the full impact of post-transcriptional processes remains elusive. While cytoplasmic RNA turnover mechanisms have been implicated in differentiation, the contribution of nuclear RNA decay has not been investigated. Here, we differentiate mouse ESCs, depleted for the ribonucleolytic RNA exosome, into embryoid bodies to determine to which degree RNA abundance in the two states can be attributed to changes in transcription vs. RNA decay by the exosome. As a general observation, we find that exosome depletion mainly leads to the stabilization of RNAs from lowly transcribed loci, including several protein-coding genes. In particular, transcripts that are differentially expressed between states tend to be more exosome sensitive in the state where expression is low. We conclude that the RNA exosome contributes to down-regulation of transcripts with disparate expression, often in conjunction with transcriptional down-regulation. Overall design: CAGE experiments were carried out in mouse embryonic stem cells and embryoid bodies differentiated for three days upon depletion of RRP40 with shRNAs, using a scrambled shRNA as control. The experiments were performed in duplicates

Publication Title

The RNA exosome contributes to gene expression regulation during stem cell differentiation.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP059956
Identification of promoters and enhancers induced by carbon nanotube exposure
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Cap Analysis of Gene Expression (CAGE) applied on carbon nanotubes exposed lung tissue to identify alternative promoter and enhancer usage after 24 hr of exposure in order to investigate the nature of the response observed in these mice. Overall design: C57BL/6 mice was exposed to vehicle or multi walled carbon nanotubes (MWCNT) by intratracheal installation. 5 mice was exposed to 162 ug of MWCNTs ( XNRI-7; lot05072001K28, Hadoga Chemical industry (formerly known as Mitsui) disolved in 0.9% NaCl and 10% v/v cellfree cellular broncho alveolar lavage (BAL) fluid collected from C57BL/6 mice. 6 mice was exposed to the previously decribed saline/BAL solution but without carbon nanotubes.

Publication Title

Identification of Gene Transcription Start Sites and Enhancers Responding to Pulmonary Carbon Nanotube Exposure in Vivo.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE17967
RMA expression data for liver samples from subjects with HCV cirrhosis with and without concomitant HCC
  • organism-icon Homo sapiens
  • sample-icon 62 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

In this study, we used the Affymetrix HG-U133A 2.0 GeneChip for deriving a multigenic classifier capable of predicting HCV+cirrhosis with vs without concomitant HCC.

Publication Title

Identifying genes for establishing a multigenic test for hepatocellular carcinoma surveillance in hepatitis C virus-positive cirrhotic patients.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE145460
Expression data from INS1E cells stimulated with vitamin D metabolites and glucose
  • organism-icon Rattus norvegicus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Studies have shown that vitamin D can enhance glucose-stimulated insulin secretion (GSIS) and change the expression of genes in pancreatic β-cells. Still the mechanisms linking vitamin D and GSIS are unknown.

Publication Title

Vitamin D metabolites influence expression of genes concerning cellular viability and function in insulin producing β-cells (INS1E).

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon SRP049257
A negative feedback loop of transcription factors specifies alternative dendritic cell chromatin states (RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1500

Description

During hematopoiesis, cells originating from the same stem cell reservoir differentiate into distinct cell types. The mechanisms enabling common progenitors to differentiate into distinct cell fates are not fully understood. Here, we identify chromatin-regulating and cell-fate-determining transcription factors (TF) governing dendritic cell (DC) development by annotating the enhancer and promoter landscapes of the DC lineage. Combining these analyses with detailed over-expression, knockdown and ChIP-Seq studies, we show that Irf8 functions as a plasmacytoid DC epigenetic and fate-determining TF, regulating massive, cell-specific chromatin changes in thousands of pDC enhancers. Importantly, Irf8 forms a negative feedback loop with Cebpb, a monocyte-derived DC epigenetic fate-determining TF. We show that using this circuit logic, differential activity of TF can stably define epigenetic and transcriptional states, regardless of the microenvironment. More broadly, our study proposes a general paradigm that allows closely related cells with a similar set of signal-dependent factors to generate differential and persistent enhancer landscapes. Overall design: Here analyzed 2 experiments, each one contains samples of moDC and pDC ex vivo cultured cells. The first experiment contains 32 samples of moDC and pDC following stimulation with various TLR stimulators. The second experiment contains 8 samples of moDC and pDC following perturbations; Cebpb and Irf8 knock down or over expression.

Publication Title

A negative feedback loop of transcription factors specifies alternative dendritic cell chromatin States.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP165224
Three Transcription Factor Functions Empower Progression from Naïve to Formative Pluripotency [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

The gene regulatory network in naïve mouse embryonic stem cells (ESCs) must be reconfigured for lineage competence. Tcf3 enables rewiring to formative pluripotency by repressing components of the ESC transcription factor circuitry. However, elimination of Tcf3 only delays, and does not prevent, state transition. Here we delineate distinct contributions of the Ets-family transcription factor Etv5 and the repressor Rbpj. Downstream of Erk1/2 signalling, Etv5 activates enhancers for formative pluripotency. Concomitant up-regulation of Rbpj ensures irreversible exit from the naïve state by extinguishing reversal factors, Nanog and Tbx3. Triple deletion of Etv5, Rbpj and Tcf3 incapacitates ESCs, such that they remain undifferentiated and locked in self-renewal even in the presence of differentiation stimuli. Thus, pluripotency progression is driven hierarchically by two repressors, that respectively dissolve and extinguish the naive network, and an initiator that commissions the formative network. Similar tripartite action may be a general mechanism for efficient cell transitions. Overall design: RNA-seq analysis of parental Rex1-GFPd2 ES cells (RGd2), and deletion mutants generated in this background (Etv5-KO, RbpJ-KO, Etv5-RpbJ-dKO, Etv5-RbpJ-Tcf3-tKO) cultured in 2i, N2B27 or supplemented with Chiron, 3 biological replicates per condition.

Publication Title

Complementary Activity of ETV5, RBPJ, and TCF3 Drives Formative Transition from Naive Pluripotency.

Sample Metadata Fields

Subject

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accession-icon SRP068907
mRNA-seq of nuclear RNA extracted from T4 and T5 neurons of D. melanogaster
  • organism-icon Drosophila melanogaster
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

T4 and T5 neurons are components of the neuronal circuit for motion vision in flies. To identify genes involved in neuronal computation of T4 and T5 neurons, we perfomed transcriptome analysis. Nuclei of T4 and T5 neurons were immunoprecipitated, total RNA was harvested and used for mRNA-seq with Illumina technology. In two biological replicates, we mapped 154 and 119 million reads to D. melanogaster genome. mRNA-seq provided information about expression levels of 17,468 annotated transcripts in the T4 and T5 neurons. Overall design: Cell type – specific transcriptome analysis of the RNA isolated from immunoprecipitated nuclei, performed in two biological replicates

Publication Title

RNA-Seq Transcriptome Analysis of Direction-Selective T4/T5 Neurons in Drosophila.

Sample Metadata Fields

Subject

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accession-icon GSE73572
The transcriptional coregulator PGC-1 controls mitochondrial function and anti-oxidant defense in skeletal muscles
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transcriptional microarray analysis was conducted on gastrocnemius muscle of control and PGC-1(i)skm-/- mice one week after the last tamoxifen administration using the Affymetrix Mouse Gene 1.0 ST.

Publication Title

The transcriptional coregulator PGC-1β controls mitochondrial function and anti-oxidant defence in skeletal muscles.

Sample Metadata Fields

Specimen part

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accession-icon SRP066955
RNA-Seq of Lgr6 positive and negative cells in mouse mammary gland
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Lgr6-positive cells have been shown to label stem/progenitors cells in several tissues including tongue and skin. However their role in mammary gland has never been investigated. Here we used Lgr6-eGFP-IRES-CreER2 mice to isolate and characterize Lgr6-positive population in mammary gland of 5-week old female mice. Overall design: Examination of transcriptional differences between Lgr6 positive and negative cells

Publication Title

Lgr6 labels a rare population of mammary gland progenitor cells that are able to originate luminal mammary tumours.

Sample Metadata Fields

Sex, Specimen part, 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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