Paired rRNA-depleted and polyA-selected RNA sequencing data and supporting multi-omics data from human T cells.
Li ChenRuirui YangTony KwanChao TangStephen WattYiming ZhangGuillaume BourqueBing GeKate DownesMattia FrontiniWillem Hendrik OuwehandJing-Wen LinNicole SoranzoTomi PastinenLu ChenPublished in: Scientific data (2020)
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.
Keyphrases
- single cell
- rna seq
- gene expression
- induced apoptosis
- endothelial cells
- electronic health record
- cell cycle arrest
- big data
- induced pluripotent stem cells
- pluripotent stem cells
- endoplasmic reticulum stress
- cell death
- high resolution
- signaling pathway
- quality improvement
- hiv infected
- genome wide
- oxidative stress
- copy number
- artificial intelligence
- high density