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Single-cell RNA-Seq analysis reveals dynamic trajectories during mouse liver development

BACKGROUND: The differentiation and maturation trajectories of fetal liver stem/progenitor cells (LSPCs) are not fully understood at single-cell resolution, and a priori knowledge of limited biomarkers could restrict trajectory tracking. RESULTS: We employed marker-free single-cell RNA-Seq to charac...

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Detalles Bibliográficos
Autores principales: Su, Xianbin, Shi, Yi, Zou, Xin, Lu, Zhao-Ning, Xie, Gangcai, Yang, Jean Y. H., Wu, Chong-Chao, Cui, Xiao-Fang, He, Kun-Yan, Luo, Qing, Qu, Yu-Lan, Wang, Na, Wang, Lan, Han, Ze-Guang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5715535/
https://www.ncbi.nlm.nih.gov/pubmed/29202695
http://dx.doi.org/10.1186/s12864-017-4342-x
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author Su, Xianbin
Shi, Yi
Zou, Xin
Lu, Zhao-Ning
Xie, Gangcai
Yang, Jean Y. H.
Wu, Chong-Chao
Cui, Xiao-Fang
He, Kun-Yan
Luo, Qing
Qu, Yu-Lan
Wang, Na
Wang, Lan
Han, Ze-Guang
author_facet Su, Xianbin
Shi, Yi
Zou, Xin
Lu, Zhao-Ning
Xie, Gangcai
Yang, Jean Y. H.
Wu, Chong-Chao
Cui, Xiao-Fang
He, Kun-Yan
Luo, Qing
Qu, Yu-Lan
Wang, Na
Wang, Lan
Han, Ze-Guang
author_sort Su, Xianbin
collection PubMed
description BACKGROUND: The differentiation and maturation trajectories of fetal liver stem/progenitor cells (LSPCs) are not fully understood at single-cell resolution, and a priori knowledge of limited biomarkers could restrict trajectory tracking. RESULTS: We employed marker-free single-cell RNA-Seq to characterize comprehensive transcriptional profiles of 507 cells randomly selected from seven stages between embryonic day 11.5 and postnatal day 2.5 during mouse liver development, and also 52 Epcam-positive cholangiocytes from postnatal day 3.25 mouse livers. LSPCs in developing mouse livers were identified via marker-free transcriptomic profiling. Single-cell resolution dynamic developmental trajectories of LSPCs exhibited contiguous but discrete genetic control through transcription factors and signaling pathways. The gene expression profiles of cholangiocytes were more close to that of embryonic day 11.5 rather than other later staged LSPCs, cuing the fate decision stage of LSPCs. Our marker-free approach also allows systematic assessment and prediction of isolation biomarkers for LSPCs. CONCLUSIONS: Our data provide not only a valuable resource but also novel insights into the fate decision and transcriptional control of self-renewal, differentiation and maturation of LSPCs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-017-4342-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-57155352017-12-08 Single-cell RNA-Seq analysis reveals dynamic trajectories during mouse liver development Su, Xianbin Shi, Yi Zou, Xin Lu, Zhao-Ning Xie, Gangcai Yang, Jean Y. H. Wu, Chong-Chao Cui, Xiao-Fang He, Kun-Yan Luo, Qing Qu, Yu-Lan Wang, Na Wang, Lan Han, Ze-Guang BMC Genomics Research Article BACKGROUND: The differentiation and maturation trajectories of fetal liver stem/progenitor cells (LSPCs) are not fully understood at single-cell resolution, and a priori knowledge of limited biomarkers could restrict trajectory tracking. RESULTS: We employed marker-free single-cell RNA-Seq to characterize comprehensive transcriptional profiles of 507 cells randomly selected from seven stages between embryonic day 11.5 and postnatal day 2.5 during mouse liver development, and also 52 Epcam-positive cholangiocytes from postnatal day 3.25 mouse livers. LSPCs in developing mouse livers were identified via marker-free transcriptomic profiling. Single-cell resolution dynamic developmental trajectories of LSPCs exhibited contiguous but discrete genetic control through transcription factors and signaling pathways. The gene expression profiles of cholangiocytes were more close to that of embryonic day 11.5 rather than other later staged LSPCs, cuing the fate decision stage of LSPCs. Our marker-free approach also allows systematic assessment and prediction of isolation biomarkers for LSPCs. CONCLUSIONS: Our data provide not only a valuable resource but also novel insights into the fate decision and transcriptional control of self-renewal, differentiation and maturation of LSPCs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-017-4342-x) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-04 /pmc/articles/PMC5715535/ /pubmed/29202695 http://dx.doi.org/10.1186/s12864-017-4342-x Text en © The Author(s). 2017 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 Research Article
Su, Xianbin
Shi, Yi
Zou, Xin
Lu, Zhao-Ning
Xie, Gangcai
Yang, Jean Y. H.
Wu, Chong-Chao
Cui, Xiao-Fang
He, Kun-Yan
Luo, Qing
Qu, Yu-Lan
Wang, Na
Wang, Lan
Han, Ze-Guang
Single-cell RNA-Seq analysis reveals dynamic trajectories during mouse liver development
title Single-cell RNA-Seq analysis reveals dynamic trajectories during mouse liver development
title_full Single-cell RNA-Seq analysis reveals dynamic trajectories during mouse liver development
title_fullStr Single-cell RNA-Seq analysis reveals dynamic trajectories during mouse liver development
title_full_unstemmed Single-cell RNA-Seq analysis reveals dynamic trajectories during mouse liver development
title_short Single-cell RNA-Seq analysis reveals dynamic trajectories during mouse liver development
title_sort single-cell rna-seq analysis reveals dynamic trajectories during mouse liver development
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5715535/
https://www.ncbi.nlm.nih.gov/pubmed/29202695
http://dx.doi.org/10.1186/s12864-017-4342-x
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