refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 391 results
Sort by

Filters

Technology

Platform

accession-icon GSE63664
Gene expression induced by DOT1L and Menin inhibition in cell line models of leukemia
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 56 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression upon DOT1L inhibition, or Menin inhibition, or a combination of DOT1L and Menin inhibiting agents, was assessed in several MLL-rearranged human cell lines and a mouse model of MLL-AF9 leukemia.

Publication Title

Complementary activities of DOT1L and Menin inhibitors in MLL-rearranged leukemia.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE17459
Down's syndrome with acute lymphoblastic pediatric leukemia (DS-ALL)
  • organism-icon Homo sapiens
  • sample-icon 119 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

DS-ALL is a highly heterogeneous disease with predominance of an aberrant exp. of CRLF2 cooperating with mutated JAK2

Publication Title

Down syndrome acute lymphoblastic leukemia, a highly heterogeneous disease in which aberrant expression of CRLF2 is associated with mutated JAK2: a report from the International BFM Study Group.

Sample Metadata Fields

Specimen part

View Samples
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

View Samples
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

View Samples
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

View Samples
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

View Samples
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

View Samples
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

View Samples
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

View Samples
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

View Samples
...

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact