Single-cell transcriptomics reconstructs fate conversion from fibroblast to cardiomyocyte

Single-cell transcriptomics analyses of cell intermediates during the reprogramming from fibroblast to cardiomyocyte were used to reconstruct the reprogramming trajectory and to uncover intermediate cell populations, gene pathways and regulators involved in this process. Fibroblast splicing factor T...

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Veröffentlicht in:Nature (London) 2017-11, Vol.551 (7678), p.100-104
Hauptverfasser: Liu, Ziqing, Wang, Li, Welch, Joshua D., Ma, Hong, Zhou, Yang, Vaseghi, Haley Ruth, Yu, Shuo, Wall, Joseph Blake, Alimohamadi, Sahar, Zheng, Michael, Yin, Chaoying, Shen, Weining, Prins, Jan F., Liu, Jiandong, Qian, Li
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container_end_page 104
container_issue 7678
container_start_page 100
container_title Nature (London)
container_volume 551
creator Liu, Ziqing
Wang, Li
Welch, Joshua D.
Ma, Hong
Zhou, Yang
Vaseghi, Haley Ruth
Yu, Shuo
Wall, Joseph Blake
Alimohamadi, Sahar
Zheng, Michael
Yin, Chaoying
Shen, Weining
Prins, Jan F.
Liu, Jiandong
Qian, Li
description Single-cell transcriptomics analyses of cell intermediates during the reprogramming from fibroblast to cardiomyocyte were used to reconstruct the reprogramming trajectory and to uncover intermediate cell populations, gene pathways and regulators involved in this process. Fibroblast splicing factor To elucidate the mechanistic underpinnings of fibroblasts reprogramming to cardiomyocytes, Li Qian and colleagues have used a single-cell RNA sequencing approach. They find that the initial steps that drive the global expression changes that are critical for reprogramming encompass the downregulation of factors involved in mRNA processing and splicing, and in particular the splicing factor Ptbp1. Downregulation of Ptbp1 is essential for cells to adopt a cardiac-specific splicing pattern. The approach also led to the identification of surface markers that allow enrichment of induced cardiomyocytes during reprogramming. Direct lineage conversion offers a new strategy for tissue regeneration and disease modelling. Despite recent success in directly reprogramming fibroblasts into various cell types, the precise changes that occur as fibroblasts progressively convert to the target cell fates remain unclear. The inherent heterogeneity and asynchronous nature of the reprogramming process renders it difficult to study this process using bulk genomic techniques. Here we used single-cell RNA sequencing to overcome this limitation and analysed global transcriptome changes at early stages during the reprogramming of mouse fibroblasts into induced cardiomyocytes (iCMs) 1 , 2 , 3 , 4 . Using unsupervised dimensionality reduction and clustering algorithms, we identified molecularly distinct subpopulations of cells during reprogramming. We also constructed routes of iCM formation, and delineated the relationship between cell proliferation and iCM induction. Further analysis of global gene expression changes during reprogramming revealed unexpected downregulation of factors involved in mRNA processing and splicing. Detailed functional analysis of the top candidate splicing factor, Ptbp1, revealed that it is a critical barrier for the acquisition of cardiomyocyte-specific splicing patterns in fibroblasts. Concomitantly, Ptbp1 depletion promoted cardiac transcriptome acquisition and increased iCM reprogramming efficiency. Additional quantitative analysis of our dataset revealed a strong correlation between the expression of each reprogramming factor and the progress of individual c
doi_str_mv 10.1038/nature24454
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Fibroblast splicing factor To elucidate the mechanistic underpinnings of fibroblasts reprogramming to cardiomyocytes, Li Qian and colleagues have used a single-cell RNA sequencing approach. They find that the initial steps that drive the global expression changes that are critical for reprogramming encompass the downregulation of factors involved in mRNA processing and splicing, and in particular the splicing factor Ptbp1. Downregulation of Ptbp1 is essential for cells to adopt a cardiac-specific splicing pattern. The approach also led to the identification of surface markers that allow enrichment of induced cardiomyocytes during reprogramming. Direct lineage conversion offers a new strategy for tissue regeneration and disease modelling. Despite recent success in directly reprogramming fibroblasts into various cell types, the precise changes that occur as fibroblasts progressively convert to the target cell fates remain unclear. The inherent heterogeneity and asynchronous nature of the reprogramming process renders it difficult to study this process using bulk genomic techniques. Here we used single-cell RNA sequencing to overcome this limitation and analysed global transcriptome changes at early stages during the reprogramming of mouse fibroblasts into induced cardiomyocytes (iCMs) 1 , 2 , 3 , 4 . Using unsupervised dimensionality reduction and clustering algorithms, we identified molecularly distinct subpopulations of cells during reprogramming. We also constructed routes of iCM formation, and delineated the relationship between cell proliferation and iCM induction. Further analysis of global gene expression changes during reprogramming revealed unexpected downregulation of factors involved in mRNA processing and splicing. Detailed functional analysis of the top candidate splicing factor, Ptbp1, revealed that it is a critical barrier for the acquisition of cardiomyocyte-specific splicing patterns in fibroblasts. Concomitantly, Ptbp1 depletion promoted cardiac transcriptome acquisition and increased iCM reprogramming efficiency. Additional quantitative analysis of our dataset revealed a strong correlation between the expression of each reprogramming factor and the progress of individual cells through the reprogramming process, and led to the discovery of new surface markers for the enrichment of iCMs. In summary, our single-cell transcriptomics approaches enabled us to reconstruct the reprogramming trajectory and to uncover intermediate cell populations, gene pathways and regulators involved in iCM induction.</description><identifier>ISSN: 0028-0836</identifier><identifier>EISSN: 1476-4687</identifier><identifier>DOI: 10.1038/nature24454</identifier><identifier>PMID: 29072293</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>13/1 ; 13/100 ; 13/106 ; 13/31 ; 13/44 ; 13/62 ; 13/89 ; 45/43 ; 45/61 ; 45/91 ; 631/136/2128 ; 631/532/2435 ; Algorithms ; Animals ; Cardiomyocytes ; Cell cycle ; Cell growth ; Cell Lineage - genetics ; Cell proliferation ; Cellular Reprogramming - genetics ; Clustering ; Conversion ; Down-Regulation - genetics ; Experiments ; Fibroblasts ; Fibroblasts - cytology ; Fibroblasts - metabolism ; Functional analysis ; GATA4 Transcription Factor - genetics ; Gene expression ; Gene sequencing ; Genetic aspects ; Heart cells ; Heart diseases ; Heterogeneity ; Heterogeneous-Nuclear Ribonucleoproteins - deficiency ; Heterogeneous-Nuclear Ribonucleoproteins - genetics ; Heterogeneous-Nuclear Ribonucleoproteins - metabolism ; Humanities and Social Sciences ; letter ; MEF2 Transcription Factors - genetics ; Mice ; mRNA processing ; multidisciplinary ; Myocytes, Cardiac - cytology ; Myocytes, Cardiac - metabolism ; Observations ; Polypyrimidine Tract-Binding Protein - deficiency ; Polypyrimidine Tract-Binding Protein - genetics ; Polypyrimidine Tract-Binding Protein - metabolism ; Principal components analysis ; Quantitative analysis ; Regeneration ; Regulators ; Ribonucleic acid ; RNA ; RNA Splicing - genetics ; RNA, Messenger - genetics ; RNA, Messenger - metabolism ; Science ; Single-Cell Analysis ; Splicing ; Splicing factors ; Subpopulations ; Surface markers ; T-Box Domain Proteins - genetics ; Tissue engineering ; Transcription (Genetics) ; Transcriptome</subject><ispartof>Nature (London), 2017-11, Vol.551 (7678), p.100-104</ispartof><rights>Macmillan Publishers Limited, part of Springer Nature. All rights reserved. 2017</rights><rights>COPYRIGHT 2017 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Nov 2, 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c714t-dc6f3c477932036b8ed67bf576f88f29558dde5c29569154a1cf2c5c670d5b683</citedby><cites>FETCH-LOGICAL-c714t-dc6f3c477932036b8ed67bf576f88f29558dde5c29569154a1cf2c5c670d5b683</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/nature24454$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/nature24454$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29072293$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Ziqing</creatorcontrib><creatorcontrib>Wang, Li</creatorcontrib><creatorcontrib>Welch, Joshua D.</creatorcontrib><creatorcontrib>Ma, Hong</creatorcontrib><creatorcontrib>Zhou, Yang</creatorcontrib><creatorcontrib>Vaseghi, Haley Ruth</creatorcontrib><creatorcontrib>Yu, Shuo</creatorcontrib><creatorcontrib>Wall, Joseph Blake</creatorcontrib><creatorcontrib>Alimohamadi, Sahar</creatorcontrib><creatorcontrib>Zheng, Michael</creatorcontrib><creatorcontrib>Yin, Chaoying</creatorcontrib><creatorcontrib>Shen, Weining</creatorcontrib><creatorcontrib>Prins, Jan F.</creatorcontrib><creatorcontrib>Liu, Jiandong</creatorcontrib><creatorcontrib>Qian, Li</creatorcontrib><title>Single-cell transcriptomics reconstructs fate conversion from fibroblast to cardiomyocyte</title><title>Nature (London)</title><addtitle>Nature</addtitle><addtitle>Nature</addtitle><description>Single-cell transcriptomics analyses of cell intermediates during the reprogramming from fibroblast to cardiomyocyte were used to reconstruct the reprogramming trajectory and to uncover intermediate cell populations, gene pathways and regulators involved in this process. Fibroblast splicing factor To elucidate the mechanistic underpinnings of fibroblasts reprogramming to cardiomyocytes, Li Qian and colleagues have used a single-cell RNA sequencing approach. They find that the initial steps that drive the global expression changes that are critical for reprogramming encompass the downregulation of factors involved in mRNA processing and splicing, and in particular the splicing factor Ptbp1. Downregulation of Ptbp1 is essential for cells to adopt a cardiac-specific splicing pattern. The approach also led to the identification of surface markers that allow enrichment of induced cardiomyocytes during reprogramming. Direct lineage conversion offers a new strategy for tissue regeneration and disease modelling. Despite recent success in directly reprogramming fibroblasts into various cell types, the precise changes that occur as fibroblasts progressively convert to the target cell fates remain unclear. The inherent heterogeneity and asynchronous nature of the reprogramming process renders it difficult to study this process using bulk genomic techniques. Here we used single-cell RNA sequencing to overcome this limitation and analysed global transcriptome changes at early stages during the reprogramming of mouse fibroblasts into induced cardiomyocytes (iCMs) 1 , 2 , 3 , 4 . Using unsupervised dimensionality reduction and clustering algorithms, we identified molecularly distinct subpopulations of cells during reprogramming. We also constructed routes of iCM formation, and delineated the relationship between cell proliferation and iCM induction. Further analysis of global gene expression changes during reprogramming revealed unexpected downregulation of factors involved in mRNA processing and splicing. Detailed functional analysis of the top candidate splicing factor, Ptbp1, revealed that it is a critical barrier for the acquisition of cardiomyocyte-specific splicing patterns in fibroblasts. Concomitantly, Ptbp1 depletion promoted cardiac transcriptome acquisition and increased iCM reprogramming efficiency. Additional quantitative analysis of our dataset revealed a strong correlation between the expression of each reprogramming factor and the progress of individual cells through the reprogramming process, and led to the discovery of new surface markers for the enrichment of iCMs. In summary, our single-cell transcriptomics approaches enabled us to reconstruct the reprogramming trajectory and to uncover intermediate cell populations, gene pathways and regulators involved in iCM induction.</description><subject>13/1</subject><subject>13/100</subject><subject>13/106</subject><subject>13/31</subject><subject>13/44</subject><subject>13/62</subject><subject>13/89</subject><subject>45/43</subject><subject>45/61</subject><subject>45/91</subject><subject>631/136/2128</subject><subject>631/532/2435</subject><subject>Algorithms</subject><subject>Animals</subject><subject>Cardiomyocytes</subject><subject>Cell cycle</subject><subject>Cell growth</subject><subject>Cell Lineage - 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Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>University of Michigan</collection><collection>Genetics Abstracts</collection><collection>SIRS Editorial</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nature (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Ziqing</au><au>Wang, Li</au><au>Welch, Joshua D.</au><au>Ma, Hong</au><au>Zhou, Yang</au><au>Vaseghi, Haley Ruth</au><au>Yu, Shuo</au><au>Wall, Joseph Blake</au><au>Alimohamadi, Sahar</au><au>Zheng, Michael</au><au>Yin, Chaoying</au><au>Shen, Weining</au><au>Prins, Jan F.</au><au>Liu, Jiandong</au><au>Qian, Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Single-cell transcriptomics reconstructs fate conversion from fibroblast to cardiomyocyte</atitle><jtitle>Nature (London)</jtitle><stitle>Nature</stitle><addtitle>Nature</addtitle><date>2017-11-02</date><risdate>2017</risdate><volume>551</volume><issue>7678</issue><spage>100</spage><epage>104</epage><pages>100-104</pages><issn>0028-0836</issn><eissn>1476-4687</eissn><abstract>Single-cell transcriptomics analyses of cell intermediates during the reprogramming from fibroblast to cardiomyocyte were used to reconstruct the reprogramming trajectory and to uncover intermediate cell populations, gene pathways and regulators involved in this process. Fibroblast splicing factor To elucidate the mechanistic underpinnings of fibroblasts reprogramming to cardiomyocytes, Li Qian and colleagues have used a single-cell RNA sequencing approach. They find that the initial steps that drive the global expression changes that are critical for reprogramming encompass the downregulation of factors involved in mRNA processing and splicing, and in particular the splicing factor Ptbp1. Downregulation of Ptbp1 is essential for cells to adopt a cardiac-specific splicing pattern. The approach also led to the identification of surface markers that allow enrichment of induced cardiomyocytes during reprogramming. Direct lineage conversion offers a new strategy for tissue regeneration and disease modelling. Despite recent success in directly reprogramming fibroblasts into various cell types, the precise changes that occur as fibroblasts progressively convert to the target cell fates remain unclear. The inherent heterogeneity and asynchronous nature of the reprogramming process renders it difficult to study this process using bulk genomic techniques. Here we used single-cell RNA sequencing to overcome this limitation and analysed global transcriptome changes at early stages during the reprogramming of mouse fibroblasts into induced cardiomyocytes (iCMs) 1 , 2 , 3 , 4 . Using unsupervised dimensionality reduction and clustering algorithms, we identified molecularly distinct subpopulations of cells during reprogramming. We also constructed routes of iCM formation, and delineated the relationship between cell proliferation and iCM induction. Further analysis of global gene expression changes during reprogramming revealed unexpected downregulation of factors involved in mRNA processing and splicing. Detailed functional analysis of the top candidate splicing factor, Ptbp1, revealed that it is a critical barrier for the acquisition of cardiomyocyte-specific splicing patterns in fibroblasts. Concomitantly, Ptbp1 depletion promoted cardiac transcriptome acquisition and increased iCM reprogramming efficiency. Additional quantitative analysis of our dataset revealed a strong correlation between the expression of each reprogramming factor and the progress of individual cells through the reprogramming process, and led to the discovery of new surface markers for the enrichment of iCMs. In summary, our single-cell transcriptomics approaches enabled us to reconstruct the reprogramming trajectory and to uncover intermediate cell populations, gene pathways and regulators involved in iCM induction.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>29072293</pmid><doi>10.1038/nature24454</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record>
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identifier ISSN: 0028-0836
ispartof Nature (London), 2017-11, Vol.551 (7678), p.100-104
issn 0028-0836
1476-4687
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5954984
source MEDLINE; Nature Journals Online; SpringerLink Journals - AutoHoldings
subjects 13/1
13/100
13/106
13/31
13/44
13/62
13/89
45/43
45/61
45/91
631/136/2128
631/532/2435
Algorithms
Animals
Cardiomyocytes
Cell cycle
Cell growth
Cell Lineage - genetics
Cell proliferation
Cellular Reprogramming - genetics
Clustering
Conversion
Down-Regulation - genetics
Experiments
Fibroblasts
Fibroblasts - cytology
Fibroblasts - metabolism
Functional analysis
GATA4 Transcription Factor - genetics
Gene expression
Gene sequencing
Genetic aspects
Heart cells
Heart diseases
Heterogeneity
Heterogeneous-Nuclear Ribonucleoproteins - deficiency
Heterogeneous-Nuclear Ribonucleoproteins - genetics
Heterogeneous-Nuclear Ribonucleoproteins - metabolism
Humanities and Social Sciences
letter
MEF2 Transcription Factors - genetics
Mice
mRNA processing
multidisciplinary
Myocytes, Cardiac - cytology
Myocytes, Cardiac - metabolism
Observations
Polypyrimidine Tract-Binding Protein - deficiency
Polypyrimidine Tract-Binding Protein - genetics
Polypyrimidine Tract-Binding Protein - metabolism
Principal components analysis
Quantitative analysis
Regeneration
Regulators
Ribonucleic acid
RNA
RNA Splicing - genetics
RNA, Messenger - genetics
RNA, Messenger - metabolism
Science
Single-Cell Analysis
Splicing
Splicing factors
Subpopulations
Surface markers
T-Box Domain Proteins - genetics
Tissue engineering
Transcription (Genetics)
Transcriptome
title Single-cell transcriptomics reconstructs fate conversion from fibroblast to cardiomyocyte
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