Paired rRNA-depleted and polyA-selected RNA sequencing data and supporting multi-omics data from human T cells
Li Chen, Ruirui Yang, Tony Kwan, Chao Tang, Stephen Watt, Yiming Zhang, Guillaume Bourque, Bing Ge, Kate Downes, Mattia Frontini, Willem H. Ouwehand, Jingwen Lin, Nicole Soranzo, Tomi Pastinen, Lu Chen
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.