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 |
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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 |
format | Article |
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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 - genetics</subject><subject>Cell proliferation</subject><subject>Cellular Reprogramming - genetics</subject><subject>Clustering</subject><subject>Conversion</subject><subject>Down-Regulation - genetics</subject><subject>Experiments</subject><subject>Fibroblasts</subject><subject>Fibroblasts - cytology</subject><subject>Fibroblasts - metabolism</subject><subject>Functional analysis</subject><subject>GATA4 Transcription Factor - genetics</subject><subject>Gene expression</subject><subject>Gene sequencing</subject><subject>Genetic aspects</subject><subject>Heart cells</subject><subject>Heart diseases</subject><subject>Heterogeneity</subject><subject>Heterogeneous-Nuclear Ribonucleoproteins - deficiency</subject><subject>Heterogeneous-Nuclear Ribonucleoproteins - genetics</subject><subject>Heterogeneous-Nuclear Ribonucleoproteins - metabolism</subject><subject>Humanities and Social Sciences</subject><subject>letter</subject><subject>MEF2 Transcription Factors - genetics</subject><subject>Mice</subject><subject>mRNA processing</subject><subject>multidisciplinary</subject><subject>Myocytes, Cardiac - cytology</subject><subject>Myocytes, Cardiac - metabolism</subject><subject>Observations</subject><subject>Polypyrimidine Tract-Binding Protein - deficiency</subject><subject>Polypyrimidine Tract-Binding Protein - genetics</subject><subject>Polypyrimidine Tract-Binding Protein - metabolism</subject><subject>Principal components analysis</subject><subject>Quantitative analysis</subject><subject>Regeneration</subject><subject>Regulators</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA Splicing - genetics</subject><subject>RNA, Messenger - genetics</subject><subject>RNA, Messenger - metabolism</subject><subject>Science</subject><subject>Single-Cell Analysis</subject><subject>Splicing</subject><subject>Splicing factors</subject><subject>Subpopulations</subject><subject>Surface markers</subject><subject>T-Box Domain Proteins - genetics</subject><subject>Tissue engineering</subject><subject>Transcription 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transcriptomics reconstructs fate conversion from fibroblast to cardiomyocyte</title><author>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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c714t-dc6f3c477932036b8ed67bf576f88f29558dde5c29569154a1cf2c5c670d5b683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>13/1</topic><topic>13/100</topic><topic>13/106</topic><topic>13/31</topic><topic>13/44</topic><topic>13/62</topic><topic>13/89</topic><topic>45/43</topic><topic>45/61</topic><topic>45/91</topic><topic>631/136/2128</topic><topic>631/532/2435</topic><topic>Algorithms</topic><topic>Animals</topic><topic>Cardiomyocytes</topic><topic>Cell cycle</topic><topic>Cell growth</topic><topic>Cell Lineage - genetics</topic><topic>Cell proliferation</topic><topic>Cellular Reprogramming - genetics</topic><topic>Clustering</topic><topic>Conversion</topic><topic>Down-Regulation - genetics</topic><topic>Experiments</topic><topic>Fibroblasts</topic><topic>Fibroblasts - cytology</topic><topic>Fibroblasts - metabolism</topic><topic>Functional analysis</topic><topic>GATA4 Transcription Factor - genetics</topic><topic>Gene expression</topic><topic>Gene sequencing</topic><topic>Genetic aspects</topic><topic>Heart cells</topic><topic>Heart diseases</topic><topic>Heterogeneity</topic><topic>Heterogeneous-Nuclear Ribonucleoproteins - deficiency</topic><topic>Heterogeneous-Nuclear Ribonucleoproteins - genetics</topic><topic>Heterogeneous-Nuclear Ribonucleoproteins - metabolism</topic><topic>Humanities and Social Sciences</topic><topic>letter</topic><topic>MEF2 Transcription Factors - genetics</topic><topic>Mice</topic><topic>mRNA 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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> |
fulltext | fulltext |
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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