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Molecular heterogeneity unravelled by single‐cell transcriptomics in patients with essential thrombocythaemia
Summary Significant phenotypic heterogeneity exists in patients with all subtypes of myeloproliferative neoplasms (MPN), including essential thrombocythaemia (ET). Single‐cell RNA sequencing (scRNA‐Seq) holds the promise of unravelling the biology of MPN at an unprecedented level of resolution. Here...
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Published in: | British journal of haematology 2020-03, Vol.188 (5), p.707-722 |
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creator | Hsu, Chia‐Chen Chen, Ying‐Ju Huang, Cih‐En Wu, Yu‐Ying Wang, Ming‐Chung Pei, Sung‐Nan Liao, Chun‐Kai Lu, Chang‐Hsien Chen, Ping‐Tsung Tsou, Hsing‐Yi Li, Chian‐Pei Chuang, Wei‐Hsuan Chuang, Ching‐Kai Yang, Cheng‐Yu Lai, Yi‐Hua Lin, Yi‐Hsuan Chen, Chih‐Cheng |
description | Summary
Significant phenotypic heterogeneity exists in patients with all subtypes of myeloproliferative neoplasms (MPN), including essential thrombocythaemia (ET). Single‐cell RNA sequencing (scRNA‐Seq) holds the promise of unravelling the biology of MPN at an unprecedented level of resolution. Herein we employed this approach to dissect the transcriptomes in the CD34+ cells from the peripheral blood of seven previously untreated ET patients and one healthy adult. The mutational profiles in these patients were as follows: JAK2 V617F in two, CALR in three (one type I and two type II) and triple‐negative (TN) in two. Our results reveal substantial heterogeneity within this enrolled cohort of patients. Activation of JAK/STAT signalling was recognized in discrepant progenitor lineages among different samples. Significantly disparate molecular profiling was identified in the comparison between ET patients and the control, between patients with different driver mutations (JAK2 V617F and CALR exon 9 indel), and even between patients harbouring the same driver. Intra‐individual clonal diversity was also found in the CD34+ progenitor population of a patient, possibly indicating the presence of multiple clones in this case. Estimation of subpopulation size based on cellular immunophenotyping suggested differentiation bias in all analysed samples. Furthermore, combining the transcriptomic information with data from targeted sequencing enabled us to unravel key somatic mutations that are molecularly relevant. To conclude, we demonstrated that scRNA‐Seq extended our knowledge of clonal diversity and inter‐individual heterogeneity in patients with ET. The obtained information could potentially leapfrog our efforts in the elucidation of the pathogenesis of the disease. |
doi_str_mv | 10.1111/bjh.16225 |
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Significant phenotypic heterogeneity exists in patients with all subtypes of myeloproliferative neoplasms (MPN), including essential thrombocythaemia (ET). Single‐cell RNA sequencing (scRNA‐Seq) holds the promise of unravelling the biology of MPN at an unprecedented level of resolution. Herein we employed this approach to dissect the transcriptomes in the CD34+ cells from the peripheral blood of seven previously untreated ET patients and one healthy adult. The mutational profiles in these patients were as follows: JAK2 V617F in two, CALR in three (one type I and two type II) and triple‐negative (TN) in two. Our results reveal substantial heterogeneity within this enrolled cohort of patients. Activation of JAK/STAT signalling was recognized in discrepant progenitor lineages among different samples. Significantly disparate molecular profiling was identified in the comparison between ET patients and the control, between patients with different driver mutations (JAK2 V617F and CALR exon 9 indel), and even between patients harbouring the same driver. Intra‐individual clonal diversity was also found in the CD34+ progenitor population of a patient, possibly indicating the presence of multiple clones in this case. Estimation of subpopulation size based on cellular immunophenotyping suggested differentiation bias in all analysed samples. Furthermore, combining the transcriptomic information with data from targeted sequencing enabled us to unravel key somatic mutations that are molecularly relevant. To conclude, we demonstrated that scRNA‐Seq extended our knowledge of clonal diversity and inter‐individual heterogeneity in patients with ET. The obtained information could potentially leapfrog our efforts in the elucidation of the pathogenesis of the disease.</description><identifier>ISSN: 0007-1048</identifier><identifier>EISSN: 1365-2141</identifier><identifier>DOI: 10.1111/bjh.16225</identifier><identifier>PMID: 31610612</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Adult ; Amino Acid Substitution ; Calreticulin - genetics ; Calreticulin - metabolism ; CD34 antigen ; essential thrombocythaemia ; Female ; Hematology ; Humans ; Janus kinase 2 ; Janus Kinase 2 - genetics ; Janus Kinase 2 - metabolism ; Male ; Middle Aged ; Mutation ; Mutation, Missense ; myeloproliferative neoplasms ; Peripheral blood ; Ribonucleic acid ; RNA ; RNA-Seq ; Single-Cell Analysis ; single‐cell RNA sequencing ; somatic mutations ; Thrombocythemia, Essential - blood ; Thrombocythemia, Essential - genetics ; Transcriptome ; Transcriptomics</subject><ispartof>British journal of haematology, 2020-03, Vol.188 (5), p.707-722</ispartof><rights>2019 British Society for Haematology and John Wiley & Sons Ltd</rights><rights>2019 British Society for Haematology and John Wiley & Sons Ltd.</rights><rights>Copyright © 2020 John Wiley & Sons Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3885-925ee969b905045db6ba493f81c05158039fb889d8a6b2033e23f85095f1dd163</citedby><cites>FETCH-LOGICAL-c3885-925ee969b905045db6ba493f81c05158039fb889d8a6b2033e23f85095f1dd163</cites><orcidid>0000-0001-6138-8262 ; 0000-0001-5921-5346</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31610612$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hsu, Chia‐Chen</creatorcontrib><creatorcontrib>Chen, Ying‐Ju</creatorcontrib><creatorcontrib>Huang, Cih‐En</creatorcontrib><creatorcontrib>Wu, Yu‐Ying</creatorcontrib><creatorcontrib>Wang, Ming‐Chung</creatorcontrib><creatorcontrib>Pei, Sung‐Nan</creatorcontrib><creatorcontrib>Liao, Chun‐Kai</creatorcontrib><creatorcontrib>Lu, Chang‐Hsien</creatorcontrib><creatorcontrib>Chen, Ping‐Tsung</creatorcontrib><creatorcontrib>Tsou, Hsing‐Yi</creatorcontrib><creatorcontrib>Li, Chian‐Pei</creatorcontrib><creatorcontrib>Chuang, Wei‐Hsuan</creatorcontrib><creatorcontrib>Chuang, Ching‐Kai</creatorcontrib><creatorcontrib>Yang, Cheng‐Yu</creatorcontrib><creatorcontrib>Lai, Yi‐Hua</creatorcontrib><creatorcontrib>Lin, Yi‐Hsuan</creatorcontrib><creatorcontrib>Chen, Chih‐Cheng</creatorcontrib><title>Molecular heterogeneity unravelled by single‐cell transcriptomics in patients with essential thrombocythaemia</title><title>British journal of haematology</title><addtitle>Br J Haematol</addtitle><description>Summary
Significant phenotypic heterogeneity exists in patients with all subtypes of myeloproliferative neoplasms (MPN), including essential thrombocythaemia (ET). Single‐cell RNA sequencing (scRNA‐Seq) holds the promise of unravelling the biology of MPN at an unprecedented level of resolution. Herein we employed this approach to dissect the transcriptomes in the CD34+ cells from the peripheral blood of seven previously untreated ET patients and one healthy adult. The mutational profiles in these patients were as follows: JAK2 V617F in two, CALR in three (one type I and two type II) and triple‐negative (TN) in two. Our results reveal substantial heterogeneity within this enrolled cohort of patients. Activation of JAK/STAT signalling was recognized in discrepant progenitor lineages among different samples. Significantly disparate molecular profiling was identified in the comparison between ET patients and the control, between patients with different driver mutations (JAK2 V617F and CALR exon 9 indel), and even between patients harbouring the same driver. Intra‐individual clonal diversity was also found in the CD34+ progenitor population of a patient, possibly indicating the presence of multiple clones in this case. Estimation of subpopulation size based on cellular immunophenotyping suggested differentiation bias in all analysed samples. Furthermore, combining the transcriptomic information with data from targeted sequencing enabled us to unravel key somatic mutations that are molecularly relevant. To conclude, we demonstrated that scRNA‐Seq extended our knowledge of clonal diversity and inter‐individual heterogeneity in patients with ET. The obtained information could potentially leapfrog our efforts in the elucidation of the pathogenesis of the disease.</description><subject>Adult</subject><subject>Amino Acid Substitution</subject><subject>Calreticulin - genetics</subject><subject>Calreticulin - metabolism</subject><subject>CD34 antigen</subject><subject>essential thrombocythaemia</subject><subject>Female</subject><subject>Hematology</subject><subject>Humans</subject><subject>Janus kinase 2</subject><subject>Janus Kinase 2 - genetics</subject><subject>Janus Kinase 2 - metabolism</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mutation</subject><subject>Mutation, Missense</subject><subject>myeloproliferative neoplasms</subject><subject>Peripheral blood</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA-Seq</subject><subject>Single-Cell Analysis</subject><subject>single‐cell RNA sequencing</subject><subject>somatic mutations</subject><subject>Thrombocythemia, Essential - blood</subject><subject>Thrombocythemia, Essential - genetics</subject><subject>Transcriptome</subject><subject>Transcriptomics</subject><issn>0007-1048</issn><issn>1365-2141</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kEFu1TAQhi0Eoq8tCy6ALLFikXYmjo2zhAraoiI2dB3ZyaTxUxK_2g5VdhyBM3KSun0tO2YzGvvTN5qfsbcIJ5jr1G6HE1RlKV-wDQolixIrfMk2APCxQKj0ATuMcQuAAiS-ZgcCFYLCcsP8dz9Su4wm8IESBX9DM7m08mUO5heNI3Xcrjy6-Wakv7__tPmJp2Dm2Aa3S35ybeRu5juTHM0p8juXBk4x5sGZjA7BT9a3axoMTc4cs1e9GSO9eepH7Prrl59nF8XVj_PLs09XRSu0lkVdSqJa1bYGCZXsrLKmqkWvsc0XSA2i7q3WdaeNsiUIQWX-lFDLHrsOlThi7_feXfC3C8XUbP0S5ryyKYWqJGjQmKkPe6oNPsZAfbMLbjJhbRCah2ibHG3zGG1m3z0ZFztR9498zjIDp3vgzo20_t_UfP52sVfeA2h-hQg</recordid><startdate>202003</startdate><enddate>202003</enddate><creator>Hsu, Chia‐Chen</creator><creator>Chen, Ying‐Ju</creator><creator>Huang, Cih‐En</creator><creator>Wu, Yu‐Ying</creator><creator>Wang, Ming‐Chung</creator><creator>Pei, Sung‐Nan</creator><creator>Liao, Chun‐Kai</creator><creator>Lu, Chang‐Hsien</creator><creator>Chen, Ping‐Tsung</creator><creator>Tsou, Hsing‐Yi</creator><creator>Li, Chian‐Pei</creator><creator>Chuang, Wei‐Hsuan</creator><creator>Chuang, Ching‐Kai</creator><creator>Yang, Cheng‐Yu</creator><creator>Lai, Yi‐Hua</creator><creator>Lin, Yi‐Hsuan</creator><creator>Chen, Chih‐Cheng</creator><general>Blackwell Publishing Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>H94</scope><orcidid>https://orcid.org/0000-0001-6138-8262</orcidid><orcidid>https://orcid.org/0000-0001-5921-5346</orcidid></search><sort><creationdate>202003</creationdate><title>Molecular heterogeneity unravelled by single‐cell transcriptomics in patients with essential thrombocythaemia</title><author>Hsu, Chia‐Chen ; Chen, Ying‐Ju ; Huang, Cih‐En ; Wu, Yu‐Ying ; Wang, Ming‐Chung ; Pei, Sung‐Nan ; Liao, Chun‐Kai ; Lu, Chang‐Hsien ; Chen, Ping‐Tsung ; Tsou, Hsing‐Yi ; Li, Chian‐Pei ; Chuang, Wei‐Hsuan ; Chuang, Ching‐Kai ; Yang, Cheng‐Yu ; Lai, Yi‐Hua ; Lin, Yi‐Hsuan ; Chen, Chih‐Cheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3885-925ee969b905045db6ba493f81c05158039fb889d8a6b2033e23f85095f1dd163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Amino Acid Substitution</topic><topic>Calreticulin - genetics</topic><topic>Calreticulin - metabolism</topic><topic>CD34 antigen</topic><topic>essential thrombocythaemia</topic><topic>Female</topic><topic>Hematology</topic><topic>Humans</topic><topic>Janus kinase 2</topic><topic>Janus Kinase 2 - genetics</topic><topic>Janus Kinase 2 - metabolism</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mutation</topic><topic>Mutation, Missense</topic><topic>myeloproliferative neoplasms</topic><topic>Peripheral blood</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA-Seq</topic><topic>Single-Cell Analysis</topic><topic>single‐cell RNA sequencing</topic><topic>somatic mutations</topic><topic>Thrombocythemia, Essential - blood</topic><topic>Thrombocythemia, Essential - genetics</topic><topic>Transcriptome</topic><topic>Transcriptomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hsu, Chia‐Chen</creatorcontrib><creatorcontrib>Chen, Ying‐Ju</creatorcontrib><creatorcontrib>Huang, Cih‐En</creatorcontrib><creatorcontrib>Wu, Yu‐Ying</creatorcontrib><creatorcontrib>Wang, Ming‐Chung</creatorcontrib><creatorcontrib>Pei, Sung‐Nan</creatorcontrib><creatorcontrib>Liao, Chun‐Kai</creatorcontrib><creatorcontrib>Lu, Chang‐Hsien</creatorcontrib><creatorcontrib>Chen, Ping‐Tsung</creatorcontrib><creatorcontrib>Tsou, Hsing‐Yi</creatorcontrib><creatorcontrib>Li, Chian‐Pei</creatorcontrib><creatorcontrib>Chuang, Wei‐Hsuan</creatorcontrib><creatorcontrib>Chuang, Ching‐Kai</creatorcontrib><creatorcontrib>Yang, Cheng‐Yu</creatorcontrib><creatorcontrib>Lai, Yi‐Hua</creatorcontrib><creatorcontrib>Lin, Yi‐Hsuan</creatorcontrib><creatorcontrib>Chen, Chih‐Cheng</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><jtitle>British journal of haematology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hsu, Chia‐Chen</au><au>Chen, Ying‐Ju</au><au>Huang, Cih‐En</au><au>Wu, Yu‐Ying</au><au>Wang, Ming‐Chung</au><au>Pei, Sung‐Nan</au><au>Liao, Chun‐Kai</au><au>Lu, Chang‐Hsien</au><au>Chen, Ping‐Tsung</au><au>Tsou, Hsing‐Yi</au><au>Li, Chian‐Pei</au><au>Chuang, Wei‐Hsuan</au><au>Chuang, Ching‐Kai</au><au>Yang, Cheng‐Yu</au><au>Lai, Yi‐Hua</au><au>Lin, Yi‐Hsuan</au><au>Chen, Chih‐Cheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Molecular heterogeneity unravelled by single‐cell transcriptomics in patients with essential thrombocythaemia</atitle><jtitle>British journal of haematology</jtitle><addtitle>Br J Haematol</addtitle><date>2020-03</date><risdate>2020</risdate><volume>188</volume><issue>5</issue><spage>707</spage><epage>722</epage><pages>707-722</pages><issn>0007-1048</issn><eissn>1365-2141</eissn><abstract>Summary
Significant phenotypic heterogeneity exists in patients with all subtypes of myeloproliferative neoplasms (MPN), including essential thrombocythaemia (ET). Single‐cell RNA sequencing (scRNA‐Seq) holds the promise of unravelling the biology of MPN at an unprecedented level of resolution. Herein we employed this approach to dissect the transcriptomes in the CD34+ cells from the peripheral blood of seven previously untreated ET patients and one healthy adult. The mutational profiles in these patients were as follows: JAK2 V617F in two, CALR in three (one type I and two type II) and triple‐negative (TN) in two. Our results reveal substantial heterogeneity within this enrolled cohort of patients. Activation of JAK/STAT signalling was recognized in discrepant progenitor lineages among different samples. Significantly disparate molecular profiling was identified in the comparison between ET patients and the control, between patients with different driver mutations (JAK2 V617F and CALR exon 9 indel), and even between patients harbouring the same driver. Intra‐individual clonal diversity was also found in the CD34+ progenitor population of a patient, possibly indicating the presence of multiple clones in this case. Estimation of subpopulation size based on cellular immunophenotyping suggested differentiation bias in all analysed samples. Furthermore, combining the transcriptomic information with data from targeted sequencing enabled us to unravel key somatic mutations that are molecularly relevant. To conclude, we demonstrated that scRNA‐Seq extended our knowledge of clonal diversity and inter‐individual heterogeneity in patients with ET. The obtained information could potentially leapfrog our efforts in the elucidation of the pathogenesis of the disease.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>31610612</pmid><doi>10.1111/bjh.16225</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0001-6138-8262</orcidid><orcidid>https://orcid.org/0000-0001-5921-5346</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Amino Acid Substitution Calreticulin - genetics Calreticulin - metabolism CD34 antigen essential thrombocythaemia Female Hematology Humans Janus kinase 2 Janus Kinase 2 - genetics Janus Kinase 2 - metabolism Male Middle Aged Mutation Mutation, Missense myeloproliferative neoplasms Peripheral blood Ribonucleic acid RNA RNA-Seq Single-Cell Analysis single‐cell RNA sequencing somatic mutations Thrombocythemia, Essential - blood Thrombocythemia, Essential - genetics Transcriptome Transcriptomics |
title | Molecular heterogeneity unravelled by single‐cell transcriptomics in patients with essential thrombocythaemia |
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