refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 1300 results
Sort by

Filters

Technology

Platform

accession-icon GSE26829
Measurements of mRNA abundance and decay for two strains 211 (wt) and 212 (mutant)
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

For each strain two time courses for mRNA abundance: Oxidative and MMS and two time courses for decay: reference decay and following oxidative stress

Publication Title

Transcriptome kinetics is governed by a genome-wide coupling of mRNA production and degradation: a role for RNA Pol II.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE12221
Decay profiles of Saccharomyces cerevisiae mRNAs following oxidative stress and DNA damage
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

We subjected yeast to two stresses, oxidative stress, which under current settings induces a fast and transient response in mRNA abundance, and DNA damage, which triggers a slow enduring response. Using microarrays, we performed a transcriptional arrest experiment to measure genome-wide mRNA decay profiles under each condition. Genome-wide decay kinetics in each condition were compared to decay experiments that were performed in a reference condition (only transcription inhibition without an additional stress) to quantify changes in mRNA stability in each condition. We found condition-specific changes in mRNA decay rates and coordination between mRNA production and degradation. In the transient response, most induced genes were surprisingly destabilized, while repressed genes were somewhat stabilized, exhibiting counteraction between production and degradation. This strategy can reconcile high steady-state level with short response time among induced genes. In contrast, the stress that induces the slow response displays the more expected behavior, whereby most induced genes are stabilized, and repressed genes destabilized. Our results show genome-wide interplay between mRNA production and degradation, and that alternative modes of such interplay determine the kinetics of the transcriptome in response to stress.

Publication Title

Transient transcriptional responses to stress are generated by opposing effects of mRNA production and degradation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP048798
Transcription factor Oct1 and its coactivator OCA-B are selectively required for CD4 memory T cell formation and function
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Epigenetic changes are crucial for the generation of immunological memory1-4. Failure to generate or maintain these changes will result in poor memory responses. Similarly, augmenting or stabilizing the correct epigenetic states offers a potential method of enhancing immune memory. Yet the transcription factors that regulate these processes are poorly defined, as are the chromatin modifying complexes they recruit and the chromatin modifications they control. Using pathogen infection models and three different mouse models, including a new conditional allele, we find that the widely expressed transcription factor Oct15, and its cofactor OCA-B6,7, are selectively required the in vivo generation of functional CD4 memory. In vitro, both proteins are also required to maintain a poised state at the Il2 target locus in resting but previously stimulated CD4 T cells, and to generate robust Il2 expression upon restimulation. OCA-B is also required for the robust re-expression of other known targets including Il17a, and Ifng. We identify an underlying mechanism involving OCA-B recruitment of the histone lysine demethylase Jmjd1a8 to targets such as Il2 and Ifng. The findings pinpoint Oct1 and OCA-B as unanticipated mediators of CD4 T cell memory. Overall design: Examination of 4 different conditions in 2 genotypes

Publication Title

Oct1 and OCA-B are selectively required for CD4 memory T cell function.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE26350
Signaling to Transcription Networks in the Neuronal Retrograde Injury Response
  • organism-icon Rattus norvegicus
  • sample-icon 72 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Retrograde signaling from axon to soma activates intrinsic regeneration mechanisms in lesioned peripheral sensory neurons; however, the links between axonal injury signaling and the cell body response are not well understood. Here, we used phosphoproteomics and microarrays to implicate ~900 phosphoproteins in retrograde injury signaling in rat sciatic nerve axons in vivo and ~4500 transcripts in the in vivo response to injury in the dorsal root ganglia. Computational analyses of these data sets identified ~400 redundant axonal signaling networks connected to 39 transcription factors implicated in the sensory neuron response to axonal injury. Experimental perturbation of individual overrepresented signaling hub proteins, including Abl, AKT, p38, and protein kinase C, affected neurite outgrowth in sensory neurons. Paradoxically, however, combined perturbation of Abl together with other hub proteins had a reduced effect relative to perturbation of individual proteins. Our data indicate that nerve injury responses are controlled by multiple regulatory components, and suggest that network redundancies provide robustness to the injury response

Publication Title

Signaling to transcription networks in the neuronal retrograde injury response.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE24986
Response of A549 cells treated with Aspergillus fumigatus
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

PrtT-regulated proteins secreted by Aspergillus fumigatus activate MAPK signaling in exposed A549 lung cells leading to necrotic cell death.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE24984
Response of A549 cells treated with Aspergillus fumigatus [WT-GC_vs_PrtT-GC]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Response of A549 cells treated with Aspergillus fumigatus wild type germinating conidia (WT_GC) or PrtT protease deficient mutant conidia (PrtT-GC) or inert acrylic 2-4 micron beads (Beads) for 8h

Publication Title

PrtT-regulated proteins secreted by Aspergillus fumigatus activate MAPK signaling in exposed A549 lung cells leading to necrotic cell death.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE24985
Response of A549 cells treated with Aspergillus fumigatus [WT-CF_vs_PrtT-CF]
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Response of A549 cells treated with Aspergillus fumigatus wild type culture filtrate (WT-CF) or PrtT protease deficient mutant culture filtrate (PrtT-CF) for 8h

Publication Title

PrtT-regulated proteins secreted by Aspergillus fumigatus activate MAPK signaling in exposed A549 lung cells leading to necrotic cell death.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE24983
Response of A549 cells treated with Aspergillus fumigatus [WT-CF_vs_WT-GC]
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Response of A549 cells treated with Aspergillus fumigatus germinating conidia (WT-GC) or culture filtrate (WT-CF) for 8h

Publication Title

PrtT-regulated proteins secreted by Aspergillus fumigatus activate MAPK signaling in exposed A549 lung cells leading to necrotic cell death.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE28044
Expression data from non-malignant fallopian tube epithelium
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarrays were used to examine gene expression changes that may be present in the fallopian tube epithelium of morphologically normal BRCA1 mutation positive and negative subjects. Fallopian tube epithelia has been implicated as an early point of origin for serous carcninoma. By examining the early events present in the microenvironment of this tissue between BRCA1 mutation carriers and non-carriers, we hoped to elucidate mechanisms that may lead to the development of epithelial ovarian cancer.

Publication Title

Identification of abrogated pathways in fallopian tube epithelium from BRCA1 mutation carriers.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP056432
A genome-wide CRISPR screen in primary immune cells to dissect regulatory networks
  • organism-icon Mus musculus
  • sample-icon 656 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We introduced genome-wide pooled CRISPR-Cas9 libraries into primary mouse dendritic cells (DCs) to identify genes that control the induction of tumor necrosis factor (TNF) by bacterial lipopolysaccharide (LPS), a key process in the host response to pathogens, mediated by the TLR4 pathway. We found many of the known regulators of TLR4 signaling, as well as dozens of previously unknown candidates that we validated. Overall design: We used stain base phenotype (staining for TNF) in order to search for negative and positive regulators of LPS response in differentiated BMDCs

Publication Title

A Genome-wide CRISPR Screen in Primary Immune Cells to Dissect Regulatory Networks.

Sample Metadata Fields

No sample metadata fields

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