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accession-icon GSE33089
Retina cells
  • organism-icon Mus musculus
  • sample-icon 82 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st), Affymetrix Mouse Exon 1.0 ST Array [transcript (gene) version (moex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptional code and disease map for adult retinal cell types.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE33085
Transcriptome analysis of adult retina cell types.
  • organism-icon Mus musculus
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st), Affymetrix Mouse Exon 1.0 ST Array [transcript (gene) version (moex10st)

Description

Brain circuits are assembled from a large variety of morphologically and functionally diverse cell types. It is not known how the intermingled cell types of individual brain regions differ in their expressed genomes. Here we describe an atlas of cell type transcriptomes of the adult retina. We found that each adult cell type expresses a specific set of genes, including a unique set of transcription factors, forming a barcode for cell identity. Cell type transcriptomes carry enough information to categorize cells into corresponding morphological classes and types. Surprisingly, several barcode genes are eye disease-associated genes that we demonstrate to be specifically expressed not only in photoreceptors but also in particular retinal circuit elements such as inhibitory neurons as well as in retinal microglia. Our data suggest that distinct cell types of individual brain regions are characterized by marked differences in their expressed genomes.

Publication Title

Transcriptional code and disease map for adult retinal cell types.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE33076
Linearity of amplification between gene expression values and the amounts of RNA in a retina cell group
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Exon 1.0 ST Array [transcript (gene) version (moex10st), Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Brain circuits are assembled from a large variety of morphologically and functionally diverse cell types. It is not known how the intermingled cell types of individual brain regions differ in their expressed genomes. Here we describe an atlas of cell type transcriptomes of the adult retina. We found that each adult cell type expresses a specific set of genes, including a unique set of transcription factors, forming a barcode for cell identity. Cell type transcriptomes carry enough information to categorize cells into corresponding morphological classes and types. Surprisingly, several barcode genes are eye disease-associated genes that we demonstrate to be specifically expressed not only in photoreceptors but also in particular retinal circuit elements such as inhibitory neurons as well as in retinal microglia. Our data suggest that distinct cell types of individual brain regions are characterized by marked differences in their expressed genomes.

Publication Title

Transcriptional code and disease map for adult retinal cell types.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP156739
Single-cell RNA-sequencing of mouse double-negative developing thymocytes
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We performed a single-cell transcriptome analysis of double-negative developing thymocytes from the DN2, DN3 and DN4 populations Overall design: Double-negative developing thymocytes from the DN2, DN3 and DN4 populations were sorted from six WT mice and used for single cell RNA Seq (10x genomics platform)

Publication Title

The transcription factor Duxbl mediates elimination of pre-T cells that fail β-selection.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

View Samples
accession-icon SRP156218
RNA-sequencing of mouse double-negative developing thymocytes [WT and Duxbl[ind]xpTa[Cre]]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We performed a transcriptome comparison of double-negative developing thymocytes from the DN3-4 population, from mice overexpressing the transcription factor Duxbl and wild type mice Overall design: Double-negative developing thymocytes from both WT and Duxbl[ind]xpTa[Cre] mice were gated for CD4-, CD8-, CD3-, B220-, CD25int, CD44low and CD117low expression, which define the DN3-4 stage of thymocyte development. The experiment was performed in four replicates, giving a total of 8 samples.

Publication Title

The transcription factor Duxbl mediates elimination of pre-T cells that fail β-selection.

Sample Metadata Fields

Sex, Cell line, Subject

View Samples
accession-icon GSE56419
Cell competition is a tumor suppressor mechanism in the thymus.
  • organism-icon Mus musculus
  • sample-icon 33 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 R2 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cell competition is a tumour suppressor mechanism in the thymus.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE56416
Intrathymic origins of T-ALL
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 R2 expression beadchip

Description

Leukemia cells are considered developmentally 'frozen', and their phenotype is thought to reflect their stage of origin. To gain insights into the cell population from which T-ALL arises, we compared by global gene expression profiling T-ALL samples (n = 10) to different stages of T cell development, following the order from early thymic progenitor (ETP), to triple negative (TN) TN2, to TN3, to TN4, to immature single positive (ISP), to double positive (DP) thymocytes.

Publication Title

Cell competition is a tumour suppressor mechanism in the thymus.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE56418
Cell competition regulates thymocyte turnover
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 R2 expression beadchip

Description

Wild type thymi were transplanted into a competitive (wild type hosts), or non-competitive (Rag2-/-c-/-KitW/Wv hosts) environment. Triple negative 2 and 3 (TN2/3) stages were sorted 14 days afetr transplantation and separated for cells of host or donor origin.

Publication Title

Cell competition is a tumour suppressor mechanism in the thymus.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE56417
Transcriptome analyses during disease progression
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 R2 expression beadchip

Description

Transcriptome was assessed in the transitions from the normal thymus (with regular progenitor turnover), to a thymus devoid of extrinsic progenitor competition for 10 weeks, to fully malignant T cell acute lymphoblastic leukemia (T-ALL).

Publication Title

Cell competition is a tumour suppressor mechanism in the thymus.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE20396
Expression data of LCM-dissected retina layers
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We have analyzed the transcript expression in different LCM-dissected cell layers isolated from mouse retinas adapted to light or dark in order to identify transcripts potentially targetted by retinal microRNAs which are regulated in response to light treatment

Publication Title

Characterizing light-regulated retinal microRNAs reveals rapid turnover as a common property of neuronal microRNAs.

Sample Metadata Fields

Specimen part, Treatment

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)

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Developed by the Childhood Cancer Data Lab

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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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