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

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(+)...

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Detalles Bibliográficos
Autores principales: Chen, Li, Yang, Ruirui, Kwan, Tony, Tang, Chao, Watt, Stephen, Zhang, Yiming, Bourque, Guillaume, Ge, Bing, Downes, Kate, Frontini, Mattia, Ouwehand, Willem H., Lin, Jing-wen, Soranzo, Nicole, Pastinen, Tomi, Chen, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652884/
https://www.ncbi.nlm.nih.gov/pubmed/33168820
http://dx.doi.org/10.1038/s41597-020-00719-4
Descripción
Sumario: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.

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