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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(+)...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
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 |
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author | 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 |
author_facet | 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 |
author_sort | Chen, Li |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7652884 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76528842020-11-12 Paired rRNA-depleted and polyA-selected RNA sequencing data and supporting multi-omics data from human T cells 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 Sci Data Data Descriptor 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. Nature Publishing Group UK 2020-11-09 /pmc/articles/PMC7652884/ /pubmed/33168820 http://dx.doi.org/10.1038/s41597-020-00719-4 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor 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 Paired rRNA-depleted and polyA-selected RNA sequencing data and supporting multi-omics data from human T cells |
title | Paired rRNA-depleted and polyA-selected RNA sequencing data and supporting multi-omics data from human T cells |
title_full | Paired rRNA-depleted and polyA-selected RNA sequencing data and supporting multi-omics data from human T cells |
title_fullStr | Paired rRNA-depleted and polyA-selected RNA sequencing data and supporting multi-omics data from human T cells |
title_full_unstemmed | Paired rRNA-depleted and polyA-selected RNA sequencing data and supporting multi-omics data from human T cells |
title_short | Paired rRNA-depleted and polyA-selected RNA sequencing data and supporting multi-omics data from human T cells |
title_sort | paired rrna-depleted and polya-selected rna sequencing data and supporting multi-omics data from human t cells |
topic | Data Descriptor |
url | 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 |
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