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Single-cell RNA sequencing of a European and an African lymphoblastoid cell line
In biomedical research, lymphoblastoid cell lines (LCLs), often established by in vitro infection of resting B cells with Epstein-Barr virus, are commonly used as surrogates for peripheral blood lymphocytes. Genomic and transcriptomic information on LCLs has been used to study the impact of genetic...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609777/ https://www.ncbi.nlm.nih.gov/pubmed/31273215 http://dx.doi.org/10.1038/s41597-019-0116-4 |
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author | Osorio, Daniel Yu, Xue Yu, Peng Serpedin, Erchin Cai, James J. |
author_facet | Osorio, Daniel Yu, Xue Yu, Peng Serpedin, Erchin Cai, James J. |
author_sort | Osorio, Daniel |
collection | PubMed |
description | In biomedical research, lymphoblastoid cell lines (LCLs), often established by in vitro infection of resting B cells with Epstein-Barr virus, are commonly used as surrogates for peripheral blood lymphocytes. Genomic and transcriptomic information on LCLs has been used to study the impact of genetic variation on gene expression in humans. Here we present single-cell RNA sequencing (scRNA-seq) data on GM12878 and GM18502—two LCLs derived from the blood of female donors of European and African ancestry, respectively. Cells from three samples (the two LCLs and a 1:1 mixture of the two) were prepared separately using a 10x Genomics Chromium Controller and deeply sequenced. The final dataset contained 7,045 cells from GM12878, 5,189 from GM18502, and 5,820 from the mixture, offering valuable information on single-cell gene expression in highly homogenous cell populations. This dataset is a suitable reference for population differentiation in gene expression at the single-cell level. Data from the mixture provide additional valuable information facilitating the development of statistical methods for data normalization and batch effect correction. |
format | Online Article Text |
id | pubmed-6609777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66097772019-07-05 Single-cell RNA sequencing of a European and an African lymphoblastoid cell line Osorio, Daniel Yu, Xue Yu, Peng Serpedin, Erchin Cai, James J. Sci Data Data Descriptor In biomedical research, lymphoblastoid cell lines (LCLs), often established by in vitro infection of resting B cells with Epstein-Barr virus, are commonly used as surrogates for peripheral blood lymphocytes. Genomic and transcriptomic information on LCLs has been used to study the impact of genetic variation on gene expression in humans. Here we present single-cell RNA sequencing (scRNA-seq) data on GM12878 and GM18502—two LCLs derived from the blood of female donors of European and African ancestry, respectively. Cells from three samples (the two LCLs and a 1:1 mixture of the two) were prepared separately using a 10x Genomics Chromium Controller and deeply sequenced. The final dataset contained 7,045 cells from GM12878, 5,189 from GM18502, and 5,820 from the mixture, offering valuable information on single-cell gene expression in highly homogenous cell populations. This dataset is a suitable reference for population differentiation in gene expression at the single-cell level. Data from the mixture provide additional valuable information facilitating the development of statistical methods for data normalization and batch effect correction. Nature Publishing Group UK 2019-07-04 /pmc/articles/PMC6609777/ /pubmed/31273215 http://dx.doi.org/10.1038/s41597-019-0116-4 Text en © The Author(s) 2019 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 Osorio, Daniel Yu, Xue Yu, Peng Serpedin, Erchin Cai, James J. Single-cell RNA sequencing of a European and an African lymphoblastoid cell line |
title | Single-cell RNA sequencing of a European and an African lymphoblastoid cell line |
title_full | Single-cell RNA sequencing of a European and an African lymphoblastoid cell line |
title_fullStr | Single-cell RNA sequencing of a European and an African lymphoblastoid cell line |
title_full_unstemmed | Single-cell RNA sequencing of a European and an African lymphoblastoid cell line |
title_short | Single-cell RNA sequencing of a European and an African lymphoblastoid cell line |
title_sort | single-cell rna sequencing of a european and an african lymphoblastoid cell line |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609777/ https://www.ncbi.nlm.nih.gov/pubmed/31273215 http://dx.doi.org/10.1038/s41597-019-0116-4 |
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