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Telomere heterogeneity linked to metabolism and pluripotency state revealed by simultaneous analysis of telomere length and RNA-seq in the same human embryonic stem cell

BACKGROUND: Telomere length heterogeneity has been detected in various cell types, including stem cells and cancer cells. Cell heterogeneity in pluripotent stem cells, such as embryonic stem cells (ESCs), is of particular interest; however, the implication and mechanisms underlying the heterogeneity...

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Autores principales: Wang, Hua, Zhang, Kunshan, Liu, Yifei, Fu, Yudong, Gao, Shan, Gong, Peng, Wang, Haiying, Zhou, Zhongcheng, Zeng, Ming, Wu, Zhenfeng, Sun, Yu, Chen, Tong, Li, Siguang, Liu, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5721592/
https://www.ncbi.nlm.nih.gov/pubmed/29216888
http://dx.doi.org/10.1186/s12915-017-0453-8
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author Wang, Hua
Zhang, Kunshan
Liu, Yifei
Fu, Yudong
Gao, Shan
Gong, Peng
Wang, Haiying
Zhou, Zhongcheng
Zeng, Ming
Wu, Zhenfeng
Sun, Yu
Chen, Tong
Li, Siguang
Liu, Lin
author_facet Wang, Hua
Zhang, Kunshan
Liu, Yifei
Fu, Yudong
Gao, Shan
Gong, Peng
Wang, Haiying
Zhou, Zhongcheng
Zeng, Ming
Wu, Zhenfeng
Sun, Yu
Chen, Tong
Li, Siguang
Liu, Lin
author_sort Wang, Hua
collection PubMed
description BACKGROUND: Telomere length heterogeneity has been detected in various cell types, including stem cells and cancer cells. Cell heterogeneity in pluripotent stem cells, such as embryonic stem cells (ESCs), is of particular interest; however, the implication and mechanisms underlying the heterogeneity remain to be understood. Single-cell analysis technology has recently been developed and effectively employed to investigate cell heterogeneity. Yet, methods that can simultaneously measure telomere length and analyze the global transcriptome in the same cell have not been available until now. RESULTS: We have established a robust method that can simultaneously measure telomere length coupled with RNA-sequencing analysis (scT&R-seq) in the same human ESC (hESC). Using this method, we show that telomere length varies with pluripotency state. Compared to those with long telomere, hESCs with short telomeres exhibit the lowest expressions of TERF1/TRF1, and ZFP42/REX1, PRDM14 and NANOG markers for pluripotency, suggesting that these hESCs are prone to exit from the pluripotent state. Interestingly, hESCs ubiquitously express NOP10 and DKC1, stabilizing components of telomerase complexes. Moreover, new candidate genes, such as MELK, MSH6, and UBQLN1, are highly expressed in the cluster of cells with long telomeres and higher expression of known pluripotency markers. Notably, short telomere hESCs exhibit higher oxidative phosphorylation primed for lineage differentiation, whereas long telomere hESCs show elevated glycolysis, another key feature for pluripotency. CONCLUSIONS: Telomere length is a marker of the metabolic activity and pluripotency state of individual hESCs. Single cell analysis of telomeres and RNA-sequencing can be exploited to further understand the molecular mechanisms of telomere heterogeneity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12915-017-0453-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-57215922017-12-11 Telomere heterogeneity linked to metabolism and pluripotency state revealed by simultaneous analysis of telomere length and RNA-seq in the same human embryonic stem cell Wang, Hua Zhang, Kunshan Liu, Yifei Fu, Yudong Gao, Shan Gong, Peng Wang, Haiying Zhou, Zhongcheng Zeng, Ming Wu, Zhenfeng Sun, Yu Chen, Tong Li, Siguang Liu, Lin BMC Biol Research Article BACKGROUND: Telomere length heterogeneity has been detected in various cell types, including stem cells and cancer cells. Cell heterogeneity in pluripotent stem cells, such as embryonic stem cells (ESCs), is of particular interest; however, the implication and mechanisms underlying the heterogeneity remain to be understood. Single-cell analysis technology has recently been developed and effectively employed to investigate cell heterogeneity. Yet, methods that can simultaneously measure telomere length and analyze the global transcriptome in the same cell have not been available until now. RESULTS: We have established a robust method that can simultaneously measure telomere length coupled with RNA-sequencing analysis (scT&R-seq) in the same human ESC (hESC). Using this method, we show that telomere length varies with pluripotency state. Compared to those with long telomere, hESCs with short telomeres exhibit the lowest expressions of TERF1/TRF1, and ZFP42/REX1, PRDM14 and NANOG markers for pluripotency, suggesting that these hESCs are prone to exit from the pluripotent state. Interestingly, hESCs ubiquitously express NOP10 and DKC1, stabilizing components of telomerase complexes. Moreover, new candidate genes, such as MELK, MSH6, and UBQLN1, are highly expressed in the cluster of cells with long telomeres and higher expression of known pluripotency markers. Notably, short telomere hESCs exhibit higher oxidative phosphorylation primed for lineage differentiation, whereas long telomere hESCs show elevated glycolysis, another key feature for pluripotency. CONCLUSIONS: Telomere length is a marker of the metabolic activity and pluripotency state of individual hESCs. Single cell analysis of telomeres and RNA-sequencing can be exploited to further understand the molecular mechanisms of telomere heterogeneity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12915-017-0453-8) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-08 /pmc/articles/PMC5721592/ /pubmed/29216888 http://dx.doi.org/10.1186/s12915-017-0453-8 Text en © Liu et al. 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
Wang, Hua
Zhang, Kunshan
Liu, Yifei
Fu, Yudong
Gao, Shan
Gong, Peng
Wang, Haiying
Zhou, Zhongcheng
Zeng, Ming
Wu, Zhenfeng
Sun, Yu
Chen, Tong
Li, Siguang
Liu, Lin
Telomere heterogeneity linked to metabolism and pluripotency state revealed by simultaneous analysis of telomere length and RNA-seq in the same human embryonic stem cell
title Telomere heterogeneity linked to metabolism and pluripotency state revealed by simultaneous analysis of telomere length and RNA-seq in the same human embryonic stem cell
title_full Telomere heterogeneity linked to metabolism and pluripotency state revealed by simultaneous analysis of telomere length and RNA-seq in the same human embryonic stem cell
title_fullStr Telomere heterogeneity linked to metabolism and pluripotency state revealed by simultaneous analysis of telomere length and RNA-seq in the same human embryonic stem cell
title_full_unstemmed Telomere heterogeneity linked to metabolism and pluripotency state revealed by simultaneous analysis of telomere length and RNA-seq in the same human embryonic stem cell
title_short Telomere heterogeneity linked to metabolism and pluripotency state revealed by simultaneous analysis of telomere length and RNA-seq in the same human embryonic stem cell
title_sort telomere heterogeneity linked to metabolism and pluripotency state revealed by simultaneous analysis of telomere length and rna-seq in the same human embryonic stem cell
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5721592/
https://www.ncbi.nlm.nih.gov/pubmed/29216888
http://dx.doi.org/10.1186/s12915-017-0453-8
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