refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 64 results
Sort by

Filters

Technology

Platform

accession-icon E-MEXP-570
Transcription profiling of rat ganglionic eminences and cerebral cortex at embryonic stages E12.5, E14 and E16
  • organism-icon Rattus norvegicus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a), Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Gene expression profiling of the medial (MGE), lateral (LGE) and caudal (CGE) ganglionic eminence, and cerebral cortex (CTX) at various embryonic stages (E12.5, E14 and E16).

Publication Title

Comprehensive spatiotemporal transcriptomic analyses of the ganglionic eminences demonstrate the uniqueness of its caudal subdivision.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE89837
Diurnal regulation of RNA polymerase III transcription is under the control of both feeding-fasting response and circadian clock
  • organism-icon Mus musculus
  • sample-icon 86 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Diurnal regulation of RNA polymerase III transcription is under the control of both the feeding-fasting response and the circadian clock.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE89658
Diurnal regulation of RNA polymerase III transcription is under the control of both feeding-fasting response and circadian clock [Affymetrix]
  • organism-icon Mus musculus
  • sample-icon 86 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

RNA polymerase III (pol III) synthesizes short non-coding RNAs, many of which, including tRNAs, Rpph1 RNA, Rn5s rRNA, and Rmrp RNA, are essential for translation. Accordingly, pol III activity is tightly regulated with cell growth and proliferation by factors such as MYC, RB1, TRP53, and MAF1. MAF1 is a repressor of pol III transcription whose activity is controlled by phosphorylation; in particular, it is inactivated through phosphorylation by mTORC1 kinase, a sensor of nutrient availability. Pol III regulation is thus sensitive to environmental cues, yet a diurnal profile of pol III transcription activity is so far lacking. Here we document pol III occupancy of its target genes in mouse liver during the diurnal cycle and show that pol III occupancy rises before the onset of the night, stays high during the night, when mice normally ingest food and when translation is increased, and decreases in daytime. By comparing diurnal pol III occupancy in wild-type mice, arrhythmic mice owing to inactivation of the Arntl gene, mice fed at regular intervals during both night and day, and mice lacking the Maf1 gene, we show that whereas higher pol III occupancy during the night reflects a MAF1-dependent response to feeding, the rise of pol III occupancy before the onset of the night reflects a circadian clock-dependent response. Thus, pol III transcription during the diurnal cycle is regulated both in response to nutrients and by the circadian clock, which allows anticipatory pol III transcription.

Publication Title

Diurnal regulation of RNA polymerase III transcription is under the control of both the feeding-fasting response and the circadian clock.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE16119
GBM and microglia fraction of same glioblastoma multiforme (GBM)
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Little is known about the immune performance and interactions of CNS microglia/macrophages in glioma patients. Microglia/macrophages were found to be the predominant immune cell infiltrating gliomas (approximately 1% of total cells); others identified are myeloid dendritic cells (DCs), plasmacytoid DCs, and T cells. Using a procedure enriching for CD11b/c+CD45+ glioma-infiltrating microglia/macrophages (GIMs) from postoperative tissue specimens of glioma patients (Hussain et al. Neuro Oncol. 2006 J;8(3):261-79) gene expression profiles were obtained form paired samples. The expression profiles are used to identify expression signatures contributed by GIMs in glioblastoma data sets (Murat et al, submitted).

Publication Title

Modulation of angiogenic and inflammatory response in glioblastoma by hypoxia.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE66468
Opposite phenotypic effects and genetic dosage in mouse models of 16p11.2 deletion and duplication syndromes
  • organism-icon Mus musculus
  • sample-icon 56 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

The 16p11.2 deletion and duplication syndromes have been associated with developmental delay and autism spectrum disorders, and a reciprocal effect on body mass index. Here we explored these links with new engineered mouse models carrying a deletion (Del/+) and duplication (Dup/+) of the whole 16p11.2 homologous Sult1a1-Spn region. On a pure genetic background, compared to wild-types, Del/+ mice carrying the deletion showed weight and adipogenesis deficits, hyperactivity, repetitive behaviors, and recognition memory deficits, whereas Dup/+ mice showed the opposite phenotypes and Del/Dup individuals displayed no changes. Alterations in social interaction were also observed in Del/+ and Dup/+ animals on a mixed genetic background.

Publication Title

Reciprocal Effects on Neurocognitive and Metabolic Phenotypes in Mouse Models of 16p11.2 Deletion and Duplication Syndromes.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE28418
Expression data from mouse tissues and MEFs: insights into the physiological activation of p53-p66Shc pathway
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Oxidative stress activates a specific p53 transcriptional response that regulates cellular senescence and aging.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE35790
Kinetic RNA polymerase II occupancy, associated histone marks, and mRNA accumulation reveal transcriptional and post-transcriptional mechanisms underlying circadian gene expression
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide RNA polymerase II profiles and RNA accumulation reveal kinetics of transcription and associated epigenetic changes during diurnal cycles.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE35789
Transcription profiling of mouse liver cells during the circadian cycle at 4 hour time resolution
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Cyclic regulatory systems are ubiquitous in cells and tissues. In the liver rhythms in mRNA expression are determined by the homeostatic regulation that operates on daily circumstances. In particular the specific response to nutrients, as well as systemic and peripheral circadian oscillators, contribute to the set up of the hepatic homeostasis at different phases of the day. In this series we used microarrays to detail the global program of gene expression in the mouse liver under physiological daily variations, determined by both the feeding and the circadian cycles.

Publication Title

Genome-wide RNA polymerase II profiles and RNA accumulation reveal kinetics of transcription and associated epigenetic changes during diurnal cycles.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE7696
Glioblastoma from a homogenous cohort of patients treated within clinical trial
  • organism-icon Homo sapiens
  • sample-icon 79 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of 80 glioblastoma specimen of patients treated within clinical trials and 4 samples of "normal" brain tissue (non-tumoral). The data was used to identify factors of resistance to a chemoradiation therapy protocol of radiotherapy and concomitant and adjuvant temozolomide (alkylating agent).

Publication Title

Stem cell-related "self-renewal" signature and high epidermal growth factor receptor expression associated with resistance to concomitant chemoradiotherapy in glioblastoma.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Treatment, Subject

View Samples
accession-icon GSE5144
hTERT effects in CD8 T Lymphocytes from two healthy donors
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Genome U133A Array (hgu133a)

Description

Expression in GFP vs. GFP/hTERT transduced CD8 T Lymphocytes from Healty Donors (HD) 1 and 2 at early and late passages. Using CD8+ T lymphocyte clones over-expressing telomerase we investigated the molecular mechanisms that regulate T cell proliferation. Transduction and subcloning procedures were performed on CD8 + naive T-cell clones isolated from two different healthy individuals aged between 30 to 35 years (HD1 and HD2). T-cell cloneswere transduced to express hTERT/GFP or GFP alone.

Publication Title

Mechanisms regulating the proliferative potential of human CD8+ T lymphocytes overexpressing telomerase.

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