GEOapplication/xmlftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE183nnn/GSE183543/primaryOK200TranscriptomicsMus musculus Genome binding/occupancy profiling by high throughput sequencingExpression profiling by high throughput sequencinghttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE183543GEOGSEfalseNext Generation Sequencing Facilitates Quantitative Analysis of transcriptome and epigenome in skeletal stem cell sorted from Ptipfl/fl and Ptipf/f;Col2-Cre micePurpose: the goals of this study are to map epigenetic alterations drive the trajectory of skeletal stem and progenitor cells by integrating their cis-regulatory landscape(ChIP-seq) with the transcriptomic profiling(RNA-seq) Methods: freshly sorted SSCs, pBCSPs, and BCSPs by FACS (Fluorescence activated Cell Sorting) from 3-day-old Ptipf/f mice and conditional knockout Ptip by crossing col2a1-cre mice and Ptipfl/fl mice (Ptipf/f;Col2-Cre mice) were performed RNA-seq and ChIP-seq (H3K4me1/H3K4me3/H3K27ac-ChIPseq). Results: using an optimized data analysis workflow, we integrated their cis-regulatory landscape with the transcriptomic profiling. As expected, expression levels of genes were associated with the activity of their related cis-regulatory elements in SSCs, pBCSPs and BCSPs. Conclusions: Ptip play a crucial role in epigenetic alterations governing the developmental trajectory of skeletal stem and progenitor cells.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 musculus[38493069]