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Comparative analysis of sequencing technologies for single-cell transcriptomics
Single-cell RNA-seq technologies require library preparation prior to sequencing. Here, we present the first report to compare the cheaper BGISEQ-500 platform to the Illumina HiSeq platform for scRNA-seq. We generate a resource of 468 single cells and 1297 matched single cDNA samples, performing SMA...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454680/ https://www.ncbi.nlm.nih.gov/pubmed/30961669 http://dx.doi.org/10.1186/s13059-019-1676-5 |
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author | Natarajan, Kedar Nath Miao, Zhichao Jiang, Miaomiao Huang, Xiaoyun Zhou, Hongpo Xie, Jiarui Wang, Chunqing Qin, Shishang Zhao, Zhikun Wu, Liang Yang, Naibo Li, Bo Hou, Yong Liu, Shiping Teichmann, Sarah A. |
author_facet | Natarajan, Kedar Nath Miao, Zhichao Jiang, Miaomiao Huang, Xiaoyun Zhou, Hongpo Xie, Jiarui Wang, Chunqing Qin, Shishang Zhao, Zhikun Wu, Liang Yang, Naibo Li, Bo Hou, Yong Liu, Shiping Teichmann, Sarah A. |
author_sort | Natarajan, Kedar Nath |
collection | PubMed |
description | Single-cell RNA-seq technologies require library preparation prior to sequencing. Here, we present the first report to compare the cheaper BGISEQ-500 platform to the Illumina HiSeq platform for scRNA-seq. We generate a resource of 468 single cells and 1297 matched single cDNA samples, performing SMARTer and Smart-seq2 protocols on two cell lines with RNA spike-ins. We sequence these libraries on both platforms using single- and paired-end reads. The platforms have comparable sensitivity and accuracy in terms of quantification of gene expression, and low technical variability. Our study provides a standardized scRNA-seq resource to benchmark new scRNA-seq library preparation protocols and sequencing platforms. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1676-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6454680 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64546802019-04-19 Comparative analysis of sequencing technologies for single-cell transcriptomics Natarajan, Kedar Nath Miao, Zhichao Jiang, Miaomiao Huang, Xiaoyun Zhou, Hongpo Xie, Jiarui Wang, Chunqing Qin, Shishang Zhao, Zhikun Wu, Liang Yang, Naibo Li, Bo Hou, Yong Liu, Shiping Teichmann, Sarah A. Genome Biol Short Report Single-cell RNA-seq technologies require library preparation prior to sequencing. Here, we present the first report to compare the cheaper BGISEQ-500 platform to the Illumina HiSeq platform for scRNA-seq. We generate a resource of 468 single cells and 1297 matched single cDNA samples, performing SMARTer and Smart-seq2 protocols on two cell lines with RNA spike-ins. We sequence these libraries on both platforms using single- and paired-end reads. The platforms have comparable sensitivity and accuracy in terms of quantification of gene expression, and low technical variability. Our study provides a standardized scRNA-seq resource to benchmark new scRNA-seq library preparation protocols and sequencing platforms. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1676-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-09 /pmc/articles/PMC6454680/ /pubmed/30961669 http://dx.doi.org/10.1186/s13059-019-1676-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Short Report Natarajan, Kedar Nath Miao, Zhichao Jiang, Miaomiao Huang, Xiaoyun Zhou, Hongpo Xie, Jiarui Wang, Chunqing Qin, Shishang Zhao, Zhikun Wu, Liang Yang, Naibo Li, Bo Hou, Yong Liu, Shiping Teichmann, Sarah A. Comparative analysis of sequencing technologies for single-cell transcriptomics |
title | Comparative analysis of sequencing technologies for single-cell transcriptomics |
title_full | Comparative analysis of sequencing technologies for single-cell transcriptomics |
title_fullStr | Comparative analysis of sequencing technologies for single-cell transcriptomics |
title_full_unstemmed | Comparative analysis of sequencing technologies for single-cell transcriptomics |
title_short | Comparative analysis of sequencing technologies for single-cell transcriptomics |
title_sort | comparative analysis of sequencing technologies for single-cell transcriptomics |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454680/ https://www.ncbi.nlm.nih.gov/pubmed/30961669 http://dx.doi.org/10.1186/s13059-019-1676-5 |
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