Clonal tracking in gene therapy patients reveals a diversity of human hematopoietic differentiation programs
In gene therapy with human hematopoietic stem and progenitor cells (HSPCs), each gene-corrected cell and its progeny are marked in a unique way by the integrating vector. This feature enables lineages to be tracked by sampling blood cells and using DNA sequencing to identify the vector integration s...
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creator | Six, Emmanuelle Guilloux, Agathe Denis, Adeline Lecoules, Arnaud Magnani, Alessandra Vilette, Romain Male, Frances Cagnard, Nicolas Delville, Marianne Magrin, Elisa Caccavelli, Laure Roudaut, Cécile Plantier, Clemence Sobrino, Steicy Gregg, John Nobles, Christopher L. Everett, John K. Hacein-Bey-Abina, Salima Galy, Anne Fischer, Alain Thrasher, Adrian J. André, Isabelle Cavazzana, Marina Bushman, Frederic D. |
description | In gene therapy with human hematopoietic stem and progenitor cells (HSPCs), each gene-corrected cell and its progeny are marked in a unique way by the integrating vector. This feature enables lineages to be tracked by sampling blood cells and using DNA sequencing to identify the vector integration sites. Here, we studied 5 cell lineages (granulocytes, monocytes, T cells, B cells, and natural killer cells) in patients having undergone HSPC gene therapy for Wiskott-Aldrich syndrome or β hemoglobinopathies. We found that the estimated minimum number of active, repopulating HSPCs (which ranged from 2000 to 50 000) was correlated with the number of HSPCs per kilogram infused. We sought to quantify the lineage output and dynamics of gene-modified clones; this is usually challenging because of sparse sampling of the various cell types during the analytical procedure, contamination during cell isolation, and different levels of vector marking in the various lineages. We therefore measured the residual contamination and corrected our statistical models accordingly to provide a rigorous analysis of the HSPC lineage output. A cluster analysis of the HSPC lineage output highlighted the existence of several stable, distinct differentiation programs, including myeloid-dominant, lymphoid-dominant, and balanced cell subsets. Our study evidenced the heterogeneous nature of the cell lineage output from HSPCs and provided methods for analyzing these complex data.
•In the context of gene therapy, the estimated number of active, repopulating HSPCs was correlated with the number of HSPCs per kilogram infused.•An analysis of human HSPC clonal lineage outputs highlighted the presence of myeloid-dominant, lymphoid-dominant, and balanced cell subsets.
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doi_str_mv | 10.1182/blood.2019002350 |
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•In the context of gene therapy, the estimated number of active, repopulating HSPCs was correlated with the number of HSPCs per kilogram infused.•An analysis of human HSPC clonal lineage outputs highlighted the presence of myeloid-dominant, lymphoid-dominant, and balanced cell subsets.
[Display omitted]</description><identifier>ISSN: 0006-4971</identifier><identifier>EISSN: 1528-0020</identifier><identifier>DOI: 10.1182/blood.2019002350</identifier><identifier>PMID: 32040546</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Biotechnology ; Cell Differentiation ; Cell Tracking ; Clone Cells - cytology ; Clone Cells - metabolism ; Gene Transfer Techniques ; Genetic Therapy - methods ; Genetic Vectors - genetics ; Hematopoiesis and Stem Cells ; Hematopoietic Stem Cell Transplantation - methods ; Hematopoietic Stem Cells - cytology ; Hematopoietic Stem Cells - metabolism ; Hemoglobinopathies - genetics ; Hemoglobinopathies - therapy ; Humans ; Immunology ; Life Sciences ; Wiskott-Aldrich Syndrome - genetics ; Wiskott-Aldrich Syndrome - therapy</subject><ispartof>Blood, 2020-04, Vol.135 (15), p.1219-1231</ispartof><rights>2020 American Society of Hematology</rights><rights>2020 by The American Society of Hematology.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>2020 by The American Society of Hematology 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c481t-a95ec1a5be2479dc17bd2f8652d0df48d87c38976a17df1219363253e60f6c1f3</citedby><cites>FETCH-LOGICAL-c481t-a95ec1a5be2479dc17bd2f8652d0df48d87c38976a17df1219363253e60f6c1f3</cites><orcidid>0000-0002-0674-9288 ; 0000-0003-4740-4056 ; 0000-0001-7806-0968 ; 0000-0002-0264-0891 ; 0000-0002-3905-9910 ; 0000-0003-0473-1970 ; 0000-0002-9585-2307 ; 0000-0002-0153-4392</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,777,781,882,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32040546$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://cnrs.hal.science/hal-03295368$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Six, Emmanuelle</creatorcontrib><creatorcontrib>Guilloux, Agathe</creatorcontrib><creatorcontrib>Denis, Adeline</creatorcontrib><creatorcontrib>Lecoules, Arnaud</creatorcontrib><creatorcontrib>Magnani, Alessandra</creatorcontrib><creatorcontrib>Vilette, Romain</creatorcontrib><creatorcontrib>Male, Frances</creatorcontrib><creatorcontrib>Cagnard, Nicolas</creatorcontrib><creatorcontrib>Delville, Marianne</creatorcontrib><creatorcontrib>Magrin, Elisa</creatorcontrib><creatorcontrib>Caccavelli, Laure</creatorcontrib><creatorcontrib>Roudaut, Cécile</creatorcontrib><creatorcontrib>Plantier, Clemence</creatorcontrib><creatorcontrib>Sobrino, Steicy</creatorcontrib><creatorcontrib>Gregg, John</creatorcontrib><creatorcontrib>Nobles, Christopher L.</creatorcontrib><creatorcontrib>Everett, John K.</creatorcontrib><creatorcontrib>Hacein-Bey-Abina, Salima</creatorcontrib><creatorcontrib>Galy, Anne</creatorcontrib><creatorcontrib>Fischer, Alain</creatorcontrib><creatorcontrib>Thrasher, Adrian J.</creatorcontrib><creatorcontrib>André, Isabelle</creatorcontrib><creatorcontrib>Cavazzana, Marina</creatorcontrib><creatorcontrib>Bushman, Frederic D.</creatorcontrib><title>Clonal tracking in gene therapy patients reveals a diversity of human hematopoietic differentiation programs</title><title>Blood</title><addtitle>Blood</addtitle><description>In gene therapy with human hematopoietic stem and progenitor cells (HSPCs), each gene-corrected cell and its progeny are marked in a unique way by the integrating vector. This feature enables lineages to be tracked by sampling blood cells and using DNA sequencing to identify the vector integration sites. Here, we studied 5 cell lineages (granulocytes, monocytes, T cells, B cells, and natural killer cells) in patients having undergone HSPC gene therapy for Wiskott-Aldrich syndrome or β hemoglobinopathies. We found that the estimated minimum number of active, repopulating HSPCs (which ranged from 2000 to 50 000) was correlated with the number of HSPCs per kilogram infused. We sought to quantify the lineage output and dynamics of gene-modified clones; this is usually challenging because of sparse sampling of the various cell types during the analytical procedure, contamination during cell isolation, and different levels of vector marking in the various lineages. We therefore measured the residual contamination and corrected our statistical models accordingly to provide a rigorous analysis of the HSPC lineage output. A cluster analysis of the HSPC lineage output highlighted the existence of several stable, distinct differentiation programs, including myeloid-dominant, lymphoid-dominant, and balanced cell subsets. Our study evidenced the heterogeneous nature of the cell lineage output from HSPCs and provided methods for analyzing these complex data.
•In the context of gene therapy, the estimated number of active, repopulating HSPCs was correlated with the number of HSPCs per kilogram infused.•An analysis of human HSPC clonal lineage outputs highlighted the presence of myeloid-dominant, lymphoid-dominant, and balanced cell subsets.
[Display omitted]</description><subject>Biotechnology</subject><subject>Cell Differentiation</subject><subject>Cell Tracking</subject><subject>Clone Cells - cytology</subject><subject>Clone Cells - metabolism</subject><subject>Gene Transfer Techniques</subject><subject>Genetic Therapy - methods</subject><subject>Genetic Vectors - genetics</subject><subject>Hematopoiesis and Stem Cells</subject><subject>Hematopoietic Stem Cell Transplantation - methods</subject><subject>Hematopoietic Stem Cells - cytology</subject><subject>Hematopoietic Stem Cells - metabolism</subject><subject>Hemoglobinopathies - genetics</subject><subject>Hemoglobinopathies - therapy</subject><subject>Humans</subject><subject>Immunology</subject><subject>Life Sciences</subject><subject>Wiskott-Aldrich Syndrome - genetics</subject><subject>Wiskott-Aldrich Syndrome - therapy</subject><issn>0006-4971</issn><issn>1528-0020</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kc2PFCEQxYnRuLOrd0-Gox56LaA_PZhsJu5HMokXPRMGimm0u2mB6WT-exln3dVNPJGifu9B1SPkDYNLxlr-YTt4by45sA6AiwqekRWreFvkCp6TFQDURdk17Iycx_gdgJWCVy_JmeBQQlXWKzKsBz-pgaag9A837aib6A4npKnHoOYDnVVyOKVIAy6ohkgVNW7BEF06UG9pvx_VRHscVfKzd5iczoC1GLLKZbGf6Bz8LqgxviIvbLbA1_fnBfl2_fnr-rbYfLm5W19tCl22LBWqq1AzVW2Rl01nNGu2htu2rrgBY8vWtI0WbdfUijXGMs46Uee5BNZga82suCCfTr7zfjui0fknQQ1yDm5U4SC9cvLfzuR6ufOLbFhZ52Vmg_cng_6J7PZqI493IHhXibpdWGbf3T8W_M89xiRHFzUOg5rQ76PMuYiq5SCOKJxQHXyMAe2DNwN5DFT-DlQ-Bpolb_8e5UHwJ8EMfDwBmBe6OAwy6hyYRuMC6iSNd_93_wXXx7KT</recordid><startdate>20200409</startdate><enddate>20200409</enddate><creator>Six, Emmanuelle</creator><creator>Guilloux, Agathe</creator><creator>Denis, Adeline</creator><creator>Lecoules, Arnaud</creator><creator>Magnani, Alessandra</creator><creator>Vilette, Romain</creator><creator>Male, Frances</creator><creator>Cagnard, Nicolas</creator><creator>Delville, Marianne</creator><creator>Magrin, Elisa</creator><creator>Caccavelli, Laure</creator><creator>Roudaut, Cécile</creator><creator>Plantier, Clemence</creator><creator>Sobrino, Steicy</creator><creator>Gregg, John</creator><creator>Nobles, Christopher L.</creator><creator>Everett, John K.</creator><creator>Hacein-Bey-Abina, Salima</creator><creator>Galy, Anne</creator><creator>Fischer, Alain</creator><creator>Thrasher, Adrian J.</creator><creator>André, Isabelle</creator><creator>Cavazzana, Marina</creator><creator>Bushman, Frederic D.</creator><general>Elsevier Inc</general><general>American Society of Hematology</general><scope>6I.</scope><scope>AAFTH</scope><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>7X8</scope><scope>1XC</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0674-9288</orcidid><orcidid>https://orcid.org/0000-0003-4740-4056</orcidid><orcidid>https://orcid.org/0000-0001-7806-0968</orcidid><orcidid>https://orcid.org/0000-0002-0264-0891</orcidid><orcidid>https://orcid.org/0000-0002-3905-9910</orcidid><orcidid>https://orcid.org/0000-0003-0473-1970</orcidid><orcidid>https://orcid.org/0000-0002-9585-2307</orcidid><orcidid>https://orcid.org/0000-0002-0153-4392</orcidid></search><sort><creationdate>20200409</creationdate><title>Clonal tracking in gene therapy patients reveals a diversity of human hematopoietic differentiation programs</title><author>Six, Emmanuelle ; Guilloux, Agathe ; Denis, Adeline ; Lecoules, Arnaud ; Magnani, Alessandra ; Vilette, Romain ; Male, Frances ; Cagnard, Nicolas ; Delville, Marianne ; Magrin, Elisa ; Caccavelli, Laure ; Roudaut, Cécile ; Plantier, Clemence ; Sobrino, Steicy ; Gregg, John ; Nobles, Christopher L. ; Everett, John K. ; Hacein-Bey-Abina, Salima ; Galy, Anne ; Fischer, Alain ; Thrasher, Adrian J. ; André, Isabelle ; Cavazzana, Marina ; Bushman, Frederic D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c481t-a95ec1a5be2479dc17bd2f8652d0df48d87c38976a17df1219363253e60f6c1f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Biotechnology</topic><topic>Cell Differentiation</topic><topic>Cell Tracking</topic><topic>Clone Cells - cytology</topic><topic>Clone Cells - metabolism</topic><topic>Gene Transfer Techniques</topic><topic>Genetic Therapy - methods</topic><topic>Genetic Vectors - genetics</topic><topic>Hematopoiesis and Stem Cells</topic><topic>Hematopoietic Stem Cell Transplantation - methods</topic><topic>Hematopoietic Stem Cells - cytology</topic><topic>Hematopoietic Stem Cells - metabolism</topic><topic>Hemoglobinopathies - genetics</topic><topic>Hemoglobinopathies - therapy</topic><topic>Humans</topic><topic>Immunology</topic><topic>Life Sciences</topic><topic>Wiskott-Aldrich Syndrome - genetics</topic><topic>Wiskott-Aldrich Syndrome - therapy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Six, Emmanuelle</creatorcontrib><creatorcontrib>Guilloux, Agathe</creatorcontrib><creatorcontrib>Denis, Adeline</creatorcontrib><creatorcontrib>Lecoules, Arnaud</creatorcontrib><creatorcontrib>Magnani, Alessandra</creatorcontrib><creatorcontrib>Vilette, Romain</creatorcontrib><creatorcontrib>Male, Frances</creatorcontrib><creatorcontrib>Cagnard, Nicolas</creatorcontrib><creatorcontrib>Delville, Marianne</creatorcontrib><creatorcontrib>Magrin, Elisa</creatorcontrib><creatorcontrib>Caccavelli, Laure</creatorcontrib><creatorcontrib>Roudaut, Cécile</creatorcontrib><creatorcontrib>Plantier, Clemence</creatorcontrib><creatorcontrib>Sobrino, Steicy</creatorcontrib><creatorcontrib>Gregg, John</creatorcontrib><creatorcontrib>Nobles, Christopher L.</creatorcontrib><creatorcontrib>Everett, John K.</creatorcontrib><creatorcontrib>Hacein-Bey-Abina, Salima</creatorcontrib><creatorcontrib>Galy, Anne</creatorcontrib><creatorcontrib>Fischer, Alain</creatorcontrib><creatorcontrib>Thrasher, Adrian J.</creatorcontrib><creatorcontrib>André, Isabelle</creatorcontrib><creatorcontrib>Cavazzana, Marina</creatorcontrib><creatorcontrib>Bushman, Frederic D.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Blood</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Six, Emmanuelle</au><au>Guilloux, Agathe</au><au>Denis, Adeline</au><au>Lecoules, Arnaud</au><au>Magnani, Alessandra</au><au>Vilette, Romain</au><au>Male, Frances</au><au>Cagnard, Nicolas</au><au>Delville, Marianne</au><au>Magrin, Elisa</au><au>Caccavelli, Laure</au><au>Roudaut, Cécile</au><au>Plantier, Clemence</au><au>Sobrino, Steicy</au><au>Gregg, John</au><au>Nobles, Christopher L.</au><au>Everett, John K.</au><au>Hacein-Bey-Abina, Salima</au><au>Galy, Anne</au><au>Fischer, Alain</au><au>Thrasher, Adrian J.</au><au>André, Isabelle</au><au>Cavazzana, Marina</au><au>Bushman, Frederic D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clonal tracking in gene therapy patients reveals a diversity of human hematopoietic differentiation programs</atitle><jtitle>Blood</jtitle><addtitle>Blood</addtitle><date>2020-04-09</date><risdate>2020</risdate><volume>135</volume><issue>15</issue><spage>1219</spage><epage>1231</epage><pages>1219-1231</pages><issn>0006-4971</issn><eissn>1528-0020</eissn><abstract>In gene therapy with human hematopoietic stem and progenitor cells (HSPCs), each gene-corrected cell and its progeny are marked in a unique way by the integrating vector. This feature enables lineages to be tracked by sampling blood cells and using DNA sequencing to identify the vector integration sites. Here, we studied 5 cell lineages (granulocytes, monocytes, T cells, B cells, and natural killer cells) in patients having undergone HSPC gene therapy for Wiskott-Aldrich syndrome or β hemoglobinopathies. We found that the estimated minimum number of active, repopulating HSPCs (which ranged from 2000 to 50 000) was correlated with the number of HSPCs per kilogram infused. We sought to quantify the lineage output and dynamics of gene-modified clones; this is usually challenging because of sparse sampling of the various cell types during the analytical procedure, contamination during cell isolation, and different levels of vector marking in the various lineages. We therefore measured the residual contamination and corrected our statistical models accordingly to provide a rigorous analysis of the HSPC lineage output. A cluster analysis of the HSPC lineage output highlighted the existence of several stable, distinct differentiation programs, including myeloid-dominant, lymphoid-dominant, and balanced cell subsets. Our study evidenced the heterogeneous nature of the cell lineage output from HSPCs and provided methods for analyzing these complex data.
•In the context of gene therapy, the estimated number of active, repopulating HSPCs was correlated with the number of HSPCs per kilogram infused.•An analysis of human HSPC clonal lineage outputs highlighted the presence of myeloid-dominant, lymphoid-dominant, and balanced cell subsets.
[Display omitted]</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>32040546</pmid><doi>10.1182/blood.2019002350</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-0674-9288</orcidid><orcidid>https://orcid.org/0000-0003-4740-4056</orcidid><orcidid>https://orcid.org/0000-0001-7806-0968</orcidid><orcidid>https://orcid.org/0000-0002-0264-0891</orcidid><orcidid>https://orcid.org/0000-0002-3905-9910</orcidid><orcidid>https://orcid.org/0000-0003-0473-1970</orcidid><orcidid>https://orcid.org/0000-0002-9585-2307</orcidid><orcidid>https://orcid.org/0000-0002-0153-4392</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biotechnology Cell Differentiation Cell Tracking Clone Cells - cytology Clone Cells - metabolism Gene Transfer Techniques Genetic Therapy - methods Genetic Vectors - genetics Hematopoiesis and Stem Cells Hematopoietic Stem Cell Transplantation - methods Hematopoietic Stem Cells - cytology Hematopoietic Stem Cells - metabolism Hemoglobinopathies - genetics Hemoglobinopathies - therapy Humans Immunology Life Sciences Wiskott-Aldrich Syndrome - genetics Wiskott-Aldrich Syndrome - therapy |
title | Clonal tracking in gene therapy patients reveals a diversity of human hematopoietic differentiation programs |
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