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High resolution single cell transcriptomics reveals heterogeneity of self-renewing hair follicle stem cells

ABSTRACT: High resolution single cell transcriptomics reveals heterogeneity of self-renewing hair follicle stem cells

PROVIDER: PRJNA681543 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR13166350.fastq.gz	Fastqsanger.gz
	SRR13166351.fastq.gz	Fastqsanger.gz

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High resolution single cell transcriptomics reveals heterogeneity of self-renewing hair follicle stem cells

Project description:Purpose: To dissect the transcriptomic profiles and unravel population-specific transcriptional heterogeneity of self renewing hair follicle stem cells in vivo Methods: We performed 10x genomics single-cell RNA sequencing (scRNA-seq) of FACS sorted CD34+/K14-H2BGFP+ hair follicle stem cells from mouse skin at mid-anagen. FACS purified CD34+/K14-H2BGFP+ single-cell suspension was processed for the barcoded single-cell 3′ cDNA libraries generation using Chromium Single Cell 3′ gel bead and library Kit v3. The final libraries were quantified using Agilent Bioanalyzer high sensitivity DNA chip and sequenced using an Illumina NextSeq-500. The raw data files were demultiplexed to generate the sample-specific FASTQ files, which were aligned to the mouse reference genome (mm10-3.0.0) using the 10x Genomics Cell Ranger pipeline (v3.1.0). The raw scRNA-seq data was processed using Cell Ranger from the 10x platform to generate an expression matrix that was further analyzed in R using the Seurat package version 3.1. Only high-quality cells that had between 200 and 5000 genes expressed and had under 10% of the UMIs mapped to mitochondrial genes were retained. Results: We obtained a total of 6736 high quality cells from two datasets for further analysis by Seurat workflow Conclusions: Obtained high quality single cell transcriptomic data to dissect molecular heterogeneity of hair follicle stem cells

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