Transcription start site analysis for heterogenous CD4+ T cells using 5′ scRNA-seq

These datasets are generated by ReapTEC (read-level pre-filtering and transcribed enhancer call) using 5' single-cell RNA-seq data on human heterogenous CD4+ T cells. By taking advantage of a unique “cap signature” derived from the 5′-end of a transcript, ReapTEC simultaneously profiles gene expression and enhancer activity at nucleotide resolution using 5′-end single-cell RNA-sequencing (5′ scRNA-seq). The detail of ReapTEC pipeline is described in https://github.com/MurakawaLab/ReapTEC., , , README: Transcription start site analysis for heterogenous CD4+ T cells using 5′ scRNA-seq

https://doi.org/10.5061/dryad.gtht76hv9

**Description of the data and file structure**

**Data_summary.xlsx.zip: Summary of single-cell experiments in this study.**

**5scCTSSbed_All.zip**: There are 102 files containing count data for analyzing transcription start site (TSS) signals. Details are as follows.

Our original raw sequencing data and processed data of 5′ scRNA-seq have been deposited to National Bioscience Database Center (NBDC) Human Database (accession code: hum0350). Raw sequencing data originated from human subjects have been deposited to Japanese Genotype-phenotype Archive (JGA, accession code: JGAS000689). We retrieved 5′ scRNA-seq data for human memory CD4+ T cells stimulated with viral antigens from the Gene Expression Omnibus database (accession number GSE152522). In total, 102 5′ scRNA-seq datasets were processed by ReapTEC pipeline (https://github.com/MurakawaLab/ReapTEC)....