Reconstructing cell cycle pseudo time-series via single-cell transcriptome data

In single-cell RNA sequencing data of heterogeneous cell populations, cell cycle stage of individual cells would often be informative. Here, the authors introduce a computational model to reconstruct a pseudo-time series from single cell transcriptome data, identify the cell cycle stages, identify c...

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Autores principales:	Zehua Liu, Huazhe Lou, Kaikun Xie, Hao Wang, Ning Chen, Oscar M. Aparicio, Michael Q. Zhang, Rui Jiang, Ting Chen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/32ab51ddb7e749bda7e9f191762097b3
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spelling	oai:doaj.org-article:32ab51ddb7e749bda7e9f191762097b32021-12-02T10:47:59ZReconstructing cell cycle pseudo time-series via single-cell transcriptome data10.1038/s41467-017-00039-z2041-1723https://doaj.org/article/32ab51ddb7e749bda7e9f191762097b32017-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-00039-zhttps://doaj.org/toc/2041-1723In single-cell RNA sequencing data of heterogeneous cell populations, cell cycle stage of individual cells would often be informative. Here, the authors introduce a computational model to reconstruct a pseudo-time series from single cell transcriptome data, identify the cell cycle stages, identify candidate cell cycle-regulated genes and recover the methylome changes during the cell cycle.Zehua LiuHuazhe LouKaikun XieHao WangNing ChenOscar M. AparicioMichael Q. ZhangRui JiangTing ChenNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Zehua Liu Huazhe Lou Kaikun Xie Hao Wang Ning Chen Oscar M. Aparicio Michael Q. Zhang Rui Jiang Ting Chen Reconstructing cell cycle pseudo time-series via single-cell transcriptome data
description	In single-cell RNA sequencing data of heterogeneous cell populations, cell cycle stage of individual cells would often be informative. Here, the authors introduce a computational model to reconstruct a pseudo-time series from single cell transcriptome data, identify the cell cycle stages, identify candidate cell cycle-regulated genes and recover the methylome changes during the cell cycle.
format	article
author	Zehua Liu Huazhe Lou Kaikun Xie Hao Wang Ning Chen Oscar M. Aparicio Michael Q. Zhang Rui Jiang Ting Chen
author_facet	Zehua Liu Huazhe Lou Kaikun Xie Hao Wang Ning Chen Oscar M. Aparicio Michael Q. Zhang Rui Jiang Ting Chen
author_sort	Zehua Liu
title	Reconstructing cell cycle pseudo time-series via single-cell transcriptome data
title_short	Reconstructing cell cycle pseudo time-series via single-cell transcriptome data
title_full	Reconstructing cell cycle pseudo time-series via single-cell transcriptome data
title_fullStr	Reconstructing cell cycle pseudo time-series via single-cell transcriptome data
title_full_unstemmed	Reconstructing cell cycle pseudo time-series via single-cell transcriptome data
title_sort	reconstructing cell cycle pseudo time-series via single-cell transcriptome data
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/32ab51ddb7e749bda7e9f191762097b3
work_keys_str_mv	AT zehualiu reconstructingcellcyclepseudotimeseriesviasinglecelltranscriptomedata AT huazhelou reconstructingcellcyclepseudotimeseriesviasinglecelltranscriptomedata AT kaikunxie reconstructingcellcyclepseudotimeseriesviasinglecelltranscriptomedata AT haowang reconstructingcellcyclepseudotimeseriesviasinglecelltranscriptomedata AT ningchen reconstructingcellcyclepseudotimeseriesviasinglecelltranscriptomedata AT oscarmaparicio reconstructingcellcyclepseudotimeseriesviasinglecelltranscriptomedata AT michaelqzhang reconstructingcellcyclepseudotimeseriesviasinglecelltranscriptomedata AT ruijiang reconstructingcellcyclepseudotimeseriesviasinglecelltranscriptomedata AT tingchen reconstructingcellcyclepseudotimeseriesviasinglecelltranscriptomedata
_version_	1718396701593567232

Reconstructing cell cycle pseudo time-series via single-cell transcriptome data

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