refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 590 results
Sort by

Filters

Technology

Platform

accession-icon SRP094587
Characterization of meningeal type 2 innate lymphocytes and their response to CNS injury
  • organism-icon Mus musculus
  • sample-icon 53 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The meningeal space is occupied by a diverse repertoire of innate and adaptive immune cells. CNS injury elicits a rapid immune response that affects neuronal survival and recovery, but the role of meningeal inflammation in CNS injury remains poorly understood. Here we describe group 2 innate lymphoid cells (ILC2s) as a novel cell type resident in the healthy meninges that is activated following CNS injury. ILC2s are present throughout the naïve mouse meninges, though are concentrated around the dural sinuses, and have a unique transcriptional profile relative to lung ILC2s. After spinal cord injury, meningeal ILC2s are activated in an IL-33 dependent manner, producing type 2 cytokines. Using RNAseq, we characterized the gene programs that underlie the ILC2 activation state. Finally, addition of wild type lung-derived ILC2s into the meningeal space of IL-33R-/- animals improves recovery following spinal cord injury. These data characterize ILC2s as a novel meningeal cell type that responds to and functionally affects outcome after spinal cord injury, and could lead to new therapeutic insights for CNS injury or other neuroinflammatory conditions. Overall design: ILC2s were isolated from 10 week C57/Bl6 mice with and without spinal cord injury (1 day post injury). 5 mice were pooled per group, with meninges dissected, digested, and FACs sorted (CD45+/DAPI-/Lin–/St2+/Thy1+) directly into RNA lysis buffer.

Publication Title

Characterization of meningeal type 2 innate lymphocytes and their response to CNS injury.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

View Samples
accession-icon SRP069873
Effect of Ppargc1a overexpression in mouse heart
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Ppargc1a overexpression in heart tissue measured using RNA sequencing Overall design: RNA expression profiles were generated using RNA-seq from control (N=3) and Ppargc1a overexpressing (N=3) mice

Publication Title

Peroxisome proliferator-activated receptor-γ coactivator 1 α1 induces a cardiac excitation-contraction coupling phenotype without metabolic remodelling.

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
accession-icon GSE12626
Genetic analysis of radiation-induced changes in human gene expression
  • organism-icon Homo sapiens
  • sample-icon 461 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

We used microarrays to measure the expression levels of genes in irradiated immortalized B cells, lymphoblastoid cells, from members of Centre d'Etude du Polymorphisme Humain (CEPH) Utah pedigrees. Data were collected for cells at baseline and 2 hour and 6 hour after exposure to 10 Gy of ionizing radiation (IR).

Publication Title

Genetic analysis of radiation-induced changes in human gene expression.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE11408
Expression Data From HCMV-Infected Human Monocytes Study 2
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Human cytomegalovirus induces a pro-inflammatory monocyte following infection. To begin to address how HCMV induces these rapid changes in infected monocytes, we examined the transcriptome of infected monocytes. Global transcriptional profiling using cDNA microarrays revealed a significant number of pro-inflammatory genes were upregulated within 4 hours post infection.

Publication Title

Transcriptome analysis reveals human cytomegalovirus reprograms monocyte differentiation toward an M1 macrophage.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE26835
Genetic variation in radiation-induced cell death
  • organism-icon Homo sapiens
  • sample-icon 769 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

We used microarrays to measure the expression levels of genes in irradiated immortalized B cells, lymphoblastoid cells, from members of Centre d'Etude du Polymorphisme Humain (CEPH) Utah pedigrees. Data were collected for cells at baseline and 2 hours and 6 hours after exposure to 10 Gy of ionizing radiation (IR).

Publication Title

Genetic variation in radiation-induced cell death.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP124960
Timeseries of small RNA and mRNA expression during zebrafish heart regeneration
  • organism-icon Danio rerio
  • sample-icon 168 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Adult zebrafish are capable of regenerating cardiac tissue following ventricular resection within 30 days. We profiled both small RNA and mRNA expression in uninjured (0dpa), 1, 3, 7, 14, 21 and 30 days post amputation to study biological processes orchestrate each stage of regeneration. Overall design: Small and mRNA gene expression profiling during 0, 1, 3, 7, 14, 21 and 30 days post ventricular resection.

Publication Title

RegenDbase: a comparative database of noncoding RNA regulation of tissue regeneration circuits across multiple taxa.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE61341
Functional genomic analysis reveals overlapping and distinct features of chronologically long-lived yeast populations
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

The chronological lifespan (CLS) of Saccharomyces cerevisiae is defined as the number days that non-dividing cells remain viable, typically in stationary phase cultures or in water. CLS is extended by restricting glucose in the starting cultures, and is considered a form of caloric restriction (CR). Through a previous genetic screen our lab determined that deleting components of the de novo purine biosynthesis pathway also significantly increased CLS. Significant similarities in gene expression profiles between calorie restricted WT cells and a non-restricted ade4 mutant suggested the possibility of common gene expression biomarkers of all chronologically long lived cells that could also provide insights into general mechanisms of lifespan extension. We have identified additional growth conditions that extend CLS of WT cells, including supplementation of the media with isonicotinamide (INAM), a known sirtuin activator, or by supplementation with a concentrate collected from the expired media of a calorie restricted yeast culture, presumably due to an as yet unidentified longevity factor. Using these varied methods to extend CLS, we compared gene expression profiles in the aging cells (at day 8) to identify functionally relevant biomarkers of longevity. Nineteen genes were differentially regulated in all 4 of the long-lived populations relative to wild type. Of these 19 genes, viable haploid deletion mutants were available for 16 of them, and 12 were found to have a significant impact on CLS.

Publication Title

Functional genomic analysis reveals overlapping and distinct features of chronologically long-lived yeast populations.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon E-MEXP-526
Transcription profiling by array of Saccharomyces cerevisiae after treatment with hydrogen peroxide
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Global restriction of protein synthesis is a hallmark of cellular stress. Using hydrogen peroxide, we monitor the transcript level and also the translation status for each RNA using cycloheximide to freeze elongating ribosomes. Polyribosome fractionation of cell extracts was used to separate highly translated and poorly translated mRNAs that were then separately analysed.

Publication Title

Global translational responses to oxidative stress impact upon multiple levels of protein synthesis.

Sample Metadata Fields

Sex, Compound

View Samples
accession-icon GSE50682
Genome-wide transcription profile of CpG-activated peritoneal macrophages
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To compare up-regulation of genes following CpG activation, we performed microarray analysis of activated macrophages from B6 and F1(B6xMOLF) mouse strains. Cells were activated for 0, 2 and 4 hrs with 200nM of type B CpG. Levels of mRNA for many genes differened dramatically between the strains

Publication Title

Mannose receptor 1 mediates cellular uptake and endosomal delivery of CpG-motif containing oligodeoxynucleotides.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE61335
AKT pathway genes define 5 prognostic subgroups in glioblastoma
  • organism-icon Homo sapiens
  • sample-icon 124 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133B Array (hgu133b)

Description

GBM samples were clusered using gene expression of AKT pathway genes to reveal at least 5 GBM AKT subtypes, having distinct DNA copy number alterations, enrichment in oncogenes and tumor suppressor genes and patterns of expression for PI3K/AKT/mTOR signaling components.

Publication Title

AKT pathway genes define 5 prognostic subgroups in glioblastoma.

Sample Metadata Fields

Sex, Age

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