Show simple item record

dc.contributor.authorChen, Li
dc.contributor.authorYang, Ruirui
dc.contributor.authorKwan, Tony
dc.contributor.authorTang, Chao
dc.contributor.authorWatt, Stephen
dc.contributor.authorZhang, Yiming
dc.contributor.authorBourque, Guillaume
dc.contributor.authorGe, Bing
dc.contributor.authorDownes, Kate
dc.contributor.authorFrontini, Mattia
dc.contributor.authorOuwehand, Willem H.
dc.contributor.authorLin, Jing-wen
dc.contributor.authorSoranzo, Nicole
dc.contributor.authorPastinen, Tomi
dc.contributor.authorChen, Lu
dc.date.accessioned2020-11-09T16:19:11Z
dc.date.available2020-11-09T16:19:11Z
dc.date.issued2020-11-09
dc.date.submitted2020-07-20
dc.identifier.others41597-020-00719-4
dc.identifier.other719
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/312607
dc.descriptionFunder: National Key Research and Development Program of China, Stem Cell and Translational Research (2017YFA0106800), and the National Science Fund for Excellent Young Scholars (81722004).
dc.description.abstractAbstract: 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.
dc.languageen
dc.publisherNature Publishing Group UK
dc.rightsAttribution 4.0 International (CC BY 4.0)en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectData Descriptor
dc.subject/631/114/2402
dc.subject/631/61/514/1949
dc.subject/631/208/457/649
dc.subjectdata-descriptor
dc.titlePaired rRNA-depleted and polyA-selected RNA sequencing data and supporting multi-omics data from human T cells
dc.typeArticle
dc.date.updated2020-11-09T16:19:11Z
prism.issueIdentifier1
prism.publicationNameScientific Data
prism.volume7
dc.identifier.doi10.17863/CAM.59708
dcterms.dateAccepted2020-10-07
rioxxterms.versionofrecord10.1038/s41597-020-00719-4
rioxxterms.versionVoR
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidKwan, Tony [0000-0001-8929-2334]
dc.contributor.orcidBourque, Guillaume [0000-0002-3933-9656]
dc.contributor.orcidOuwehand, Willem H. [0000-0002-7744-1790]
dc.contributor.orcidLin, Jing-wen [0000-0003-3338-8788]
dc.contributor.orcidSoranzo, Nicole [0000-0003-1095-3852]
dc.identifier.eissn2052-4463
pubs.funder-project-idEC | EC Seventh Framework Programm | FP7 Health (FP7-HEALTH - Specific Programme "Cooperation&quot (HEALTH-F5-2011-282510)
pubs.funder-project-idGouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) (EP1-120608,EP2-120609)


Files in this item

Thumbnail
Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)