Paired rRNA-depleted and polyA-selected RNA sequencing data and supporting multi-omics data from human T cells
Nature Publishing Group UK
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Chen, L., Yang, R., Kwan, T., Tang, C., Watt, S., Zhang, Y., Bourque, G., et al. (2020). Paired rRNA-depleted and polyA-selected RNA sequencing data and supporting multi-omics data from human T cells. Scientific Data, 7 (1)https://doi.org/10.1038/s41597-020-00719-4
Funder: National Key Research and Development Program of China, Stem Cell and Translational Research (2017YFA0106800), and the National Science Fund for Excellent Young Scholars (81722004).
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.
Data Descriptor, /631/114/2402, /631/61/514/1949, /631/208/457/649, data-descriptor
EC | EC Seventh Framework Programm | FP7 Health (FP7-HEALTH - Specific Programme "Cooperation" (HEALTH-F5-2011-282510)
Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) (EP1-120608,EP2-120609)
External DOI: https://doi.org/10.1038/s41597-020-00719-4
This record's URL: https://www.repository.cam.ac.uk/handle/1810/312607
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/