Direct Comparative Analyses of 10X Genomics Chromium and Smart-seq2

Single-cell RNA sequencing (scRNA-seq) is generally used for profiling transcriptome of individual cells. The droplet-based 10X Genomics Chromium (10X) approach and the plate-based Smart-seq2 full-length method are two frequently used scRNA-seq platforms, yet there are only a few thorough and system...

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Autores principales:	Xiliang Wang, Yao He, Qiming Zhang, Xianwen Ren, Zemin Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Single-cell RNA sequencing 10X Smart-seq2 Bulk RNA-seq Comparison Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/95aff0e1a7e146288188f79a967fac53
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spelling	oai:doaj.org-article:95aff0e1a7e146288188f79a967fac532021-11-16T04:09:24ZDirect Comparative Analyses of 10X Genomics Chromium and Smart-seq21672-022910.1016/j.gpb.2020.02.005https://doaj.org/article/95aff0e1a7e146288188f79a967fac532021-04-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1672022921000486https://doaj.org/toc/1672-0229Single-cell RNA sequencing (scRNA-seq) is generally used for profiling transcriptome of individual cells. The droplet-based 10X Genomics Chromium (10X) approach and the plate-based Smart-seq2 full-length method are two frequently used scRNA-seq platforms, yet there are only a few thorough and systematic comparisons of their advantages and limitations. Here, by directly comparing the scRNA-seq data generated by these two platforms from the same samples of CD45− cells, we systematically evaluated their features using a wide spectrum of analyses. Smart-seq2 detected more genes in a cell, especially low abundance transcripts as well as alternatively spliced transcripts, but captured higher proportion of mitochondrial genes. The composite of Smart-seq2 data also resembled bulk RNA-seq data more. For 10X-based data, we observed higher noise for mRNAs with low expression levels. Approximately 10%−30% of all detected transcripts by both platforms were from non-coding genes, with long non-coding RNAs (lncRNAs) accounting for a higher proportion in 10X. 10X-based data displayed more severe dropout problem, especially for genes with lower expression levels. However, 10X-data can detect rare cell types given its ability to cover a large number of cells. In addition, each platform detected distinct groups of differentially expressed genes between cell clusters, indicating the different characteristics of these technologies. Our study promotes better understanding of these two platforms and offers the basis for an informed choice of these widely used technologies.Xiliang WangYao HeQiming ZhangXianwen RenZemin ZhangElsevierarticleSingle-cell RNA sequencing10XSmart-seq2Bulk RNA-seqComparisonBiology (General)QH301-705.5ENGenomics, Proteomics & Bioinformatics, Vol 19, Iss 2, Pp 253-266 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Single-cell RNA sequencing 10X Smart-seq2 Bulk RNA-seq Comparison Biology (General) QH301-705.5
spellingShingle	Single-cell RNA sequencing 10X Smart-seq2 Bulk RNA-seq Comparison Biology (General) QH301-705.5 Xiliang Wang Yao He Qiming Zhang Xianwen Ren Zemin Zhang Direct Comparative Analyses of 10X Genomics Chromium and Smart-seq2
description	Single-cell RNA sequencing (scRNA-seq) is generally used for profiling transcriptome of individual cells. The droplet-based 10X Genomics Chromium (10X) approach and the plate-based Smart-seq2 full-length method are two frequently used scRNA-seq platforms, yet there are only a few thorough and systematic comparisons of their advantages and limitations. Here, by directly comparing the scRNA-seq data generated by these two platforms from the same samples of CD45− cells, we systematically evaluated their features using a wide spectrum of analyses. Smart-seq2 detected more genes in a cell, especially low abundance transcripts as well as alternatively spliced transcripts, but captured higher proportion of mitochondrial genes. The composite of Smart-seq2 data also resembled bulk RNA-seq data more. For 10X-based data, we observed higher noise for mRNAs with low expression levels. Approximately 10%−30% of all detected transcripts by both platforms were from non-coding genes, with long non-coding RNAs (lncRNAs) accounting for a higher proportion in 10X. 10X-based data displayed more severe dropout problem, especially for genes with lower expression levels. However, 10X-data can detect rare cell types given its ability to cover a large number of cells. In addition, each platform detected distinct groups of differentially expressed genes between cell clusters, indicating the different characteristics of these technologies. Our study promotes better understanding of these two platforms and offers the basis for an informed choice of these widely used technologies.
format	article
author	Xiliang Wang Yao He Qiming Zhang Xianwen Ren Zemin Zhang
author_facet	Xiliang Wang Yao He Qiming Zhang Xianwen Ren Zemin Zhang
author_sort	Xiliang Wang
title	Direct Comparative Analyses of 10X Genomics Chromium and Smart-seq2
title_short	Direct Comparative Analyses of 10X Genomics Chromium and Smart-seq2
title_full	Direct Comparative Analyses of 10X Genomics Chromium and Smart-seq2
title_fullStr	Direct Comparative Analyses of 10X Genomics Chromium and Smart-seq2
title_full_unstemmed	Direct Comparative Analyses of 10X Genomics Chromium and Smart-seq2
title_sort	direct comparative analyses of 10x genomics chromium and smart-seq2
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/95aff0e1a7e146288188f79a967fac53
work_keys_str_mv	AT xiliangwang directcomparativeanalysesof10xgenomicschromiumandsmartseq2 AT yaohe directcomparativeanalysesof10xgenomicschromiumandsmartseq2 AT qimingzhang directcomparativeanalysesof10xgenomicschromiumandsmartseq2 AT xianwenren directcomparativeanalysesof10xgenomicschromiumandsmartseq2 AT zeminzhang directcomparativeanalysesof10xgenomicschromiumandsmartseq2
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Direct Comparative Analyses of 10X Genomics Chromium and Smart-seq2

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