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accession-icon SRP126648
Single-cell RNA-seq of mouse dopaminergic neurons informs candidate gene selection for sporadic Parkinson''s disease
  • organism-icon Mus musculus
  • sample-icon 758 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Genetic variation modulating risk of sporadic Parkinson's disease (PD) has been primarily explored through genome wide association studies (GWAS). However, like many other common genetic diseases, the impacted genes remain largely unknown. Here, we used single-cell RNA-seq to characterize dopaminergic (DA) neuron populations in the mouse brain at embryonic and early postnatal timepoints. These data facilitated unbiased identification of DA neuron subpopulations through their unique transcriptional profiles, including a novel postnatal neuroblast population and substantia nigra (SN) DA neurons. We use these population-specific data to develop a scoring system to prioritize candidate genes in all 49 GWAS intervals implicated in PD risk, including known PD genes and many with extensive supporting literature. As proof of principle, we confirm that the nigrostriatal pathway is compromised in Cplx1 null mice. Ultimately, this systematic approach establishes biologically pertinent candidates and testable hypotheses for sporadic PD, informing a new era of PD genetic research. Overall design: 473 single cell RNA-Seq samples from sorted mouse Th-eGFP+ dopaminergic neurons collected at two timepoints from three distinct brain regions.

Publication Title

Single-Cell RNA-Seq of Mouse Dopaminergic Neurons Informs Candidate Gene Selection for Sporadic Parkinson Disease.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE15415
Candidate genes for alcohol preference in alcohol-preferring and non-preferring reciprocal congenic rats
  • organism-icon Rattus norvegicus
  • sample-icon 80 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The goal of this study was to identify candidate genes that may influence alcohol consumption by comparing gene expression in 5 brain regions of alcohol-nave iP and P.NP rats.

Publication Title

Candidate genes for alcohol preference identified by expression profiling in alcohol-preferring and -nonpreferring reciprocal congenic rats.

Sample Metadata Fields

Specimen part

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accession-icon GSE5849
Identification of Candidate Genes for Alcohol Preference by Expression Profiling of Congenic Strains
  • organism-icon Rattus norvegicus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

A highly significant quantitative trait locus (QTL) that influenced alcohol preference was identified in the iP/iNP rats on chromosome 4.

Publication Title

Identification of candidate genes for alcohol preference by expression profiling of congenic rat strains.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP189590
Spinal cord RNA-seq
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-seq with male and female juvenile and adult spinal cords Overall design: RNA was isolated from 4 week and 8 week spinal cords for sequencing

Publication Title

Age and Sex-Related Changes to Gene Expression in the Mouse Spinal Cord.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon GSE10970
Efficient Array-based Identification of Novel Cardiac Genes through Differentiation of Mouse ESCs
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Cardiac disease accounts for the largest proportion of adult mortality and morbidity in the industrialized world. However, progress toward improved clinical treatments is hampered by an incomplete understanding of the genetic programs controlling early cardiogenesis. To better understand this process, we set out to identify genes whose expression is enriched within early cardiac fated populations, obtaining the transcriptional signatures of mouse embryonic stem cells (mESCs) differentiating along a cardiac path.

Publication Title

Efficient array-based identification of novel cardiac genes through differentiation of mouse ESCs.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE23396
Background analysis using yeast RNA on the mouse and human array
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The Gene Expression Barcode: leveraging public data repositories to begin cataloging the human and murine transcriptomes.

Sample Metadata Fields

Treatment

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accession-icon GSE22974
Background analysis using yeast RNA on the U133 plus 2.0 array
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used yeast RNA to estimate background binding for each probe on the human U133 plus 2.0 array.

Publication Title

The Gene Expression Barcode: leveraging public data repositories to begin cataloging the human and murine transcriptomes.

Sample Metadata Fields

Treatment

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accession-icon GSE22975
Background analysis using yeast RNA on the Mouse 430 2.0 array
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We hybridized yeast RNA to the mouse 430 2.0 array to estimate the background binding for each probe.

Publication Title

The Gene Expression Barcode: leveraging public data repositories to begin cataloging the human and murine transcriptomes.

Sample Metadata Fields

Treatment

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accession-icon GSE46568
Expression data from mouse liver tissue from SKH:QS mice treated with 68ZnO sunscreens
  • organism-icon Mus musculus
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

ZnO nanoparticles can elicit a range of perturbed cell responses in vitro. Exposure to topically applied sunscreens containing ZnO particles may or may not elicit a biological effect in mice.

Publication Title

Dermal absorption and short-term biological impact in hairless mice from sunscreens containing zinc oxide nano- or larger particles.

Sample Metadata Fields

Specimen part

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accession-icon GSE5671
Cardiac differentiation of embryonic stem cells recapitulates embryonic cardiac development.
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Mouse embryonic stem cells can differentiate in vitro into spontaneously contracting cardiomyocytes. The main objective of this study was to investigate cardiogenesis in cultures of differentiating embryonic stem cells (ESCs) and to determine how closely it mimics in vivo cardiac development. We identified and isolated a population of cardiac progenitor cells (CPCs) through the use of a reporter DNA construct that allowed the expression of a selectable marker under the control of the Nkx2.5 enhancer. We proceeded to characterize these CPCs by examining their capacity to differentiate into cardiomyocytes and to proliferate. We then performed a large-scale temporal microarray expression analysis in order to identify genes that are uniquely upregulated or downregulated in the CPC population. We determined that the transcriptional profile of the mESC derived CPCs was consistent with pathways known to be active during embryonic cardiac development. We conclude that in vitro differentiation of mESCs recapitulates the early steps of mouse cardiac development.

Publication Title

Mouse ES cell-derived cardiac precursor cells are multipotent and facilitate identification of novel cardiac genes.

Sample Metadata Fields

No sample metadata fields

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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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