Paired rRNA-depleted and polyA-selected RNA sequencing data and supporting multi-omics data from human T cells-Reference-Cited by-同舟云学术

Paired rRNA-depleted and polyA-selected RNA sequencing data and supporting multi-omics data from human T cells

Published:2020-11-09 Issue:1 Volume:7 Page:
ISSN:2052-4463
Container-title:Scientific Data
language:en
Short-container-title:Sci Data

Author:

Chen Li,Yang Ruirui,Kwan Tony^ORCID,Tang Chao,Watt Stephen,Zhang Yiming,Bourque Guillaume^ORCID,Ge Bing,Downes Kate,Frontini Mattia,Ouwehand Willem H.^ORCID,Lin Jing-wen^ORCID,Soranzo Nicole^ORCID,Pastinen Tomi,Chen Lu

Abstract

Abstract Both poly(A) enrichment and ribosomal RNA depletion are commonly used for RNA sequencing. Either has its advantages and disadvantages that may lead to biases in the downstream analyses. To better access these effects, we carried out both ribosomal RNA-depleted and poly(A)-selected RNA-seq for CD4+ T naive cells isolated from 40 healthy individuals from the Blueprint Project. For these 40 individuals, the genomic and epigenetic data were also available. This dataset offers a unique opportunity to understand how library construction influences differential gene expression, alternative splicing and molecular QTL (quantitative loci) analyses for human primary cells.

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Link

http://www.nature.com/articles/s41597-020-00719-4.pdf

Reference20 articles.

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