Next Generation Sequencing Facilitates Quantitative Analysis of germ cell RA signaling mutant and control THY1+ spermatogonia Transcriptomes
Transcriptomics Dataset
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General Information
AccessionGSE79863
TitleNext Generation Sequencing Facilitates Quantitative Analysis of germ cell RA signaling mutant and control THY1+ spermatogonia Transcriptomes
DescriptionPurpose: The goal of this sequencing is to investigate alterations in gene expression that result from impaired retinoid signaling compared with control, and how the RA signaling controls spermatogonia differentiation Methods: THY1+ spermatogonia mRNA profiles of 4-day-old control and germ cell specific impaired retinoid signaling mice were generated by High-throughput sequencing Results: Gene ontology (GO) analysis of the genes at the top of the ranked genes indicated enrichment in genes associated with roles in reproduction, transcription and spermatogenesis. In total, we identified 1633 and 742 transcripts (Reads Per Kilobase of transcript per Million mapped reads (RPKM) > 1) that were significantly (p-value < 0.05, > 1.5-fold difference) down- and up-regulated, respectively, in the germ cell mutants compared with the controls. Most importantly, we found that the majority of transcripts of replication-dependent core histone genes, histone cluster 1 (Hist1) were downregulated in germ cell mutants.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE79863
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE79863
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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