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accession-icon GSE50423
Contextual fear conditioning in the mouse hippocampus
  • organism-icon Mus musculus
  • sample-icon 72 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

A fundamental question in neuroscience is how memories are stored and retrieved in the brain. Many neurological, psychiatric and neurodevelopmental disorders are associated with cognitive deficits. Therefore characterizing the biological basis of these processes is critical for understanding normal and abnormal brain function. It is known that long-term memory formation requires transcription and translation as well as epigenetic processes that control gene expression. In this study we examined genome-wide gene expression changes during memory consolidation and after memory retrieval. We observe the largest changes in gene expression 30 minutes after memory acquisition and retrieval, and several novel genes were found to be affected by both. Interestingly, acquisition and retrieval of memory down-regulate different processes. Chromatin assembly is down-regulated after memory acquisition whereas RNA processing is down-regulated so after retrieval. Histone variant H2AB levels are reduced following acquisition, while splicing factor Rbfox1 and NMDA receptor-dependent microRNA miR-219 are down-regulated following retrieval. We also show that miR-219 down-regulation after retrieval is accompanied by up-regulation of its target protein CAMKII. Our study highlights for the first time the differential involvement of epigenetic mechanisms that control gene expression, such as histone variants and post-transcriptional RNA processing, during memory acquisition and retrieval.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age

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accession-icon GSE78215
Gene expression linked to sleep homeostasis in murine cortex
  • organism-icon Mus musculus
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Why we sleep is still one of the most perplexing mysteries in biology. Strong evidence, however, indicates that sleep is necessary for normal brain function and that the need to sleep is a tightly regulated process. Surprisingly molecular mechanisms that determine the need to sleep are incompletely described. Moreover, very little is known about transcriptional changes that specifically accompany the accumulation and discharge of sleep need.

Publication Title

Removal of unwanted variation reveals novel patterns of gene expression linked to sleep homeostasis in murine cortex.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE33302
Expression data from sleep deprivation experiment in mouse hippocampus
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We used microarrays to detail the global programme of gene expression underlying the effect of sleep deprivation in the mouse hippocampus and identified distinct classes of regulated genes during this process.

Publication Title

Genomic analysis of sleep deprivation reveals translational regulation in the hippocampus.

Sample Metadata Fields

Age, Specimen part, Treatment

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accession-icon GSE22402
Genome-wide analysis of gene expression response upon infection with Toxoplasma gondii
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge IconIllumina humanRef-8 v2.0 expression beadchip

Description

The in vitro effect of infection with different strains of Toxoplasma gondii was tested 24 hours after infection of Human Foreskin Fibroblasts (HFF)

Publication Title

Integrative genomic approaches highlight a family of parasite-specific kinases that regulate host responses.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE54408
Riding the spermatogenic wave: Profiling gene expression within neonatal germ and Sertoli cells during a synchronized initial wave of spermatogenesis
  • organism-icon Mus musculus
  • sample-icon 77 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

WIN 18,446/RA treatment of neonatal mice was used to synchronize the initial wave of spermatogenesis and identify novel messages expressed within either germ or Sertoli cells as spermatogonia enter meiosis.

Publication Title

Riding the spermatogenic wave: profiling gene expression within neonatal germ and sertoli cells during a synchronized initial wave of spermatogenesis in mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE926
Murine Testis Developmental Time Course
  • organism-icon Mus musculus
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Murine testis developmental time course created from tissue samples collected from birth through adulthood and hybridized to MGU74v2 A, B, and C chips in duplicate

Publication Title

The murine testicular transcriptome: characterizing gene expression in the testis during the progression of spermatogenesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE15431
Global Gene Expression in the Human Fetal Testis and Ovary
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study describes a temporal profile of gene expression from normal human fetal testes and ovaries. Gonads from 34 fetuses between 9 weeks and 20 weeks of gestation were obtained from the Department of Pathology and the Birth Defects Research Laboratory at the University of Washington. Relative transcript levels were determined using the Affymetrix Human Genome U133A Plus 2.0 arrays.

Publication Title

Global gene expression in the human fetal testis and ovary.

Sample Metadata Fields

Specimen part

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accession-icon GSE45799
RiboTag analysis of actively translated mRNAs in Sertoli and Leydig cells in vivo
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Analysis of Sertoli and Leydig cell translatome utilizing an in vivo ribosome tagging strategy (RiboTag) that allows a detailed and physiologically relevant characterization of the polysome-associated mRNAs in vivo. Although progress has been made in the identification of specific transcripts that are translated in Sertoli and Leydig cells and their response to hormones, efforts to expand these studies have been restricted by technical hurdles. Our analysis identified all previously characterized Leydig and Sertoli cell-specific markers and identified in a comprehensive manner novel markers of Leydig and Sertoli cells; the translational response of these two cell types to gonadotropins or testosterone was also investigated.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Treatment

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accession-icon GSE1358
Embryonic Testis Developmental Time Course
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Time course of gene expression in the murine embryonic testis from the time of the indifferent gonad (11.5dpc) to birth (18.5dpc)

Publication Title

Profiling gene expression during the differentiation and development of the murine embryonic gonad.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE1359
Embryonic Ovary Developmental Time Course
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Time course of gene expression in the murine embryonic ovary from the time of the indifferent gonad (11.5dpc) to birth (18.5dpc)

Publication Title

Profiling gene expression during the differentiation and development of the murine embryonic gonad.

Sample Metadata Fields

No sample metadata fields

View Samples
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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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