Key Features
Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.
Learn MorePurpose: The goals of this study are to investigate the effect of prenatal VPA exposure on transcriptome profile of NS/PCs during development, and the effect of exercise on transcriptome profile of adult NS/PCs in prenatal VPA exposed mice.; Methods: NS/PCs mRNA profiles of embryonic day15 (E15), postnatal day5 (P5) and 12-week-old (12w) contol mice and E15, P5, 12w with or without voluntary exercise prenatal VPA exposed mice were generated by deep sequencing, in triplicate, using Illumina Hiseq 2500. The sequence reads that passed quality filters were analyzed at the transcript isoform level with a method: TopHat/Bowtie2 followed by Cufflinks.NS/PCs were isolated from forebrain (E15), hippocampal dentate gyrus (P5 and 12w) of Nestin-EGFP mice.; Results: Hierarchial clustering using eighteen samples (E15 Ctrl, E15 VPA, P5 Ctrl, P5 VPA, 12w Ctrl, 12w VPA, three samples each) identified three distinct clusters composed of NS/PCs derived from each developmental stage. Gene set enrichment analysis using transcriptome of E15 Ctrl and E15 VPA revealed a significant increase in the expression of neuron differentiation- and nervous system development-related genes in VPA compared with Ctrl. Gene ontology analysis of biological processes using differentially expressed genesin 12w VPA compared with 12w Ctrl revealed that expression levels of cell-migration-associated genes were altered. Voluntary running mostly amended both positively and negativly distorted gene expression in the 12w VPA compared with 12w Ctrl NS/PCs. The altered expression of cell migration-related genes was largely normalized by voluntary running. SOURCE: Taito Matsuda (tmatsuda@scb.med.kyushu-u.ac.jp) - Department of Stem Cell Biology and Medicine Kyushu University
View on GEOView in PlutoEnhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.
Learn MoreUse Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.
Read about post-pipeline analysisView quality control data and experiment metadata for this experiment.
Request imports from GEO or TCGA directly within Pluto Bio.
Chat with our Scientific Insights team