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Proceedings: Human Leukocyte Antigen Haplo-Homozygous Induced Pluripotent Stem Cell Haplobank Modeled After the California Population: Evaluating Matching in a Multiethnic and Admixed Population

Identifieur interne : 000D72 ( Pmc/Checkpoint ); précédent : 000D71; suivant : 000D73

Proceedings: Human Leukocyte Antigen Haplo-Homozygous Induced Pluripotent Stem Cell Haplobank Modeled After the California Population: Evaluating Matching in a Multiethnic and Admixed Population

Auteurs : Derek James Pappas [France, États-Unis] ; Pierre-Antoine Gourraud [France, États-Unis] ; Caroline Le Gall [France] ; Julie Laurent [France] ; Alan Trounson [États-Unis, Australie] ; Natalie Dewitt [États-Unis, Australie] ; Sohel Talib [États-Unis]

Source :

RBID : PMC:4414226

Abstract

This study developed a new model for evaluating an induced pluripotent stem cell (iPSC) haplobank based on demographic and immunogenetic characteristics reflecting California. Creation of a haplobank of iPSC lines homozygous for a variety of human leukocyte antigen (HLA) types, representative of different geographic populations and ethnic groups, could simplify HLA matching and provide matches for reasonable percentages of target populations and extend iPSC-derived therapies beyond the autologous setting.


Url:
DOI: 10.5966/sctm.2015-0052
PubMed: 25926330
PubMed Central: 4414226


Affiliations:


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PMC:4414226

Le document en format XML

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<p>This study developed a new model for evaluating an induced pluripotent stem cell (iPSC) haplobank based on demographic and immunogenetic characteristics reflecting California. Creation of a haplobank of iPSC lines homozygous for a variety of human leukocyte antigen (HLA) types, representative of different geographic populations and ethnic groups, could simplify HLA matching and provide matches for reasonable percentages of target populations and extend iPSC-derived therapies beyond the autologous setting.</p>
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<article-title>Proceedings: Human Leukocyte Antigen Haplo-Homozygous Induced Pluripotent Stem Cell Haplobank Modeled After the California Population: Evaluating Matching in a Multiethnic and Admixed Population</article-title>
<alt-title alt-title-type="short">iPSC Haplobank Modeled After California Population</alt-title>
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<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Pappas</surname>
<given-names>Derek James</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>a</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>b</sup>
</xref>
<xref ref-type="author-notes" rid="fn1">*</xref>
<xref ref-type="author-notes" rid="fn2">
<sup></sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gourraud</surname>
<given-names>Pierre-Antoine</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>a</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>c</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>d</sup>
</xref>
<xref ref-type="author-notes" rid="fn1">*</xref>
<xref ref-type="author-notes" rid="fn2">
<sup></sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Le Gall</surname>
<given-names>Caroline</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>a</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>c</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Laurent</surname>
<given-names>Julie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>a</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>c</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Trounson</surname>
<given-names>Alan</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>e</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>f</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>DeWitt</surname>
<given-names>Natalie</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>e</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>f</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>g</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Talib</surname>
<given-names>Sohel</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>e</sup>
</xref>
</contrib>
<aff id="aff1">
<sup>a</sup>
Methodomics, Mortagne-sur-Sevre, France;</aff>
<aff id="aff2">
<sup>b</sup>
Oakland Children’s Hospital, Oakland Research Institute, Oakland, California, USA;</aff>
<aff id="aff3">
<sup>c</sup>
Institut Sup’Biotech, Villejuif, France;</aff>
<aff id="aff4">
<sup>d</sup>
Department of Neurology, School of Medicine, University of California, San Francisco, San Francisco, California, USA;</aff>
<aff id="aff5">
<sup>e</sup>
California Institute for Regenerative Medicine, San Francisco, California, USA;</aff>
<aff id="aff6">
<sup>f</sup>
Monash Prince Henry’s Institute for Medical Research (Hudson Institute), Monash Medical Centre, Melbourne, Victoria, Australia;</aff>
<aff id="aff7">
<sup>g</sup>
Baxter Laboratory for Stem Cell Research, Stanford University, Stanford, California, USA</aff>
</contrib-group>
<author-notes>
<corresp id="cor1">Correspondence: Pierre-Antoine Gourraud, Ph.D., Department of Neurology, School of Medicine, University of California, San Francisco, 675 Nelson Rising Lane, Mission Bay Campus, San Francisco, California 94158, USA. Telephone: 415-502-7208; E-Mail:
<email>pierreantoine.gourraud@ucsf.edu</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>*</label>
<p>Contributed equally.</p>
</fn>
<fn fn-type="equal" id="fn2">
<label></label>
<p>Co-first authors.</p>
</fn>
</author-notes>
<pub-date pub-type="ppub">
<month>5</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>1</day>
<month>5</month>
<year>2016</year>
</pub-date>
<pmc-comment> PMC Release delay is 12 months and 0 days and was based on the . </pmc-comment>
<volume>4</volume>
<issue>5</issue>
<fpage>413</fpage>
<lpage>418</lpage>
<history>
<date date-type="received">
<day>18</day>
<month>3</month>
<year>2015</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>4</month>
<year>2015</year>
</date>
</history>
<permissions>
<copyright-statement>©AlphaMed Press</copyright-statement>
<copyright-year>2015</copyright-year>
</permissions>
<self-uri xlink:title="pdf" xlink:type="simple" xlink:href="sctm_20150052.pdf"></self-uri>
<abstract abstract-type="precis">
<p>This study developed a new model for evaluating an induced pluripotent stem cell (iPSC) haplobank based on demographic and immunogenetic characteristics reflecting California. Creation of a haplobank of iPSC lines homozygous for a variety of human leukocyte antigen (HLA) types, representative of different geographic populations and ethnic groups, could simplify HLA matching and provide matches for reasonable percentages of target populations and extend iPSC-derived therapies beyond the autologous setting.</p>
</abstract>
<abstract>
<title>Summary</title>
<p>The development of a California-based induced pluripotent stem cell (iPSC) bank based on human leukocyte antigen (HLA) haplotype matching represents a significant challenge and a valuable opportunity for the advancement of regenerative medicine. However, previously published models of iPSC banks have neither addressed the admixed nature of populations like that of California nor evaluated the benefit to the population as a whole. We developed a new model for evaluating an iPSC haplobank based on demographic and immunogenetic characteristics reflecting California. The model evaluates haplolines or cell lines from donors homozygous for a single
<italic>HLA-A</italic>
,
<italic>HLA-B</italic>
,
<italic>HLA-DRB1</italic>
haplotype. We generated estimates of the percentage of the population matched under various combinations of haplolines derived from six ancestries (black/African American, American Indian, Asian/Pacific Islander, Hispanic, and white/not Hispanic) and data available from the U.S. Census Bureau, the California Institute for Regenerative Medicine, and the National Marrow Donor Program. The model included both cis (haplotype-level) and trans (genotype-level) matching between a modeled iPSC haplobank and the recipient population following resampling simulations. We showed that serving a majority (>50%) of a simulated California population through cis matching would require the creation, redundant storage, and maintenance of almost 207 different haplolines representing the top 60 most frequent haplotypes from each ancestry group. Allowances for trans matching reduced the haplobank to fewer than 141 haplolines found among the top 40 most frequent haplotypes. Finally, we showed that a model optimized, custom haplobank was able to serve a majority of the California population with fewer than 80 haplolines.</p>
</abstract>
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</pmc>
<affiliations>
<list>
<country>
<li>Australie</li>
<li>France</li>
<li>États-Unis</li>
</country>
<region>
<li>Californie</li>
</region>
</list>
<tree>
<country name="France">
<noRegion>
<name sortKey="Pappas, Derek James" sort="Pappas, Derek James" uniqKey="Pappas D" first="Derek James" last="Pappas">Derek James Pappas</name>
</noRegion>
<name sortKey="Gourraud, Pierre Antoine" sort="Gourraud, Pierre Antoine" uniqKey="Gourraud P" first="Pierre-Antoine" last="Gourraud">Pierre-Antoine Gourraud</name>
<name sortKey="Gourraud, Pierre Antoine" sort="Gourraud, Pierre Antoine" uniqKey="Gourraud P" first="Pierre-Antoine" last="Gourraud">Pierre-Antoine Gourraud</name>
<name sortKey="Laurent, Julie" sort="Laurent, Julie" uniqKey="Laurent J" first="Julie" last="Laurent">Julie Laurent</name>
<name sortKey="Laurent, Julie" sort="Laurent, Julie" uniqKey="Laurent J" first="Julie" last="Laurent">Julie Laurent</name>
<name sortKey="Le Gall, Caroline" sort="Le Gall, Caroline" uniqKey="Le Gall C" first="Caroline" last="Le Gall">Caroline Le Gall</name>
<name sortKey="Le Gall, Caroline" sort="Le Gall, Caroline" uniqKey="Le Gall C" first="Caroline" last="Le Gall">Caroline Le Gall</name>
</country>
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<region name="Californie">
<name sortKey="Pappas, Derek James" sort="Pappas, Derek James" uniqKey="Pappas D" first="Derek James" last="Pappas">Derek James Pappas</name>
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<name sortKey="Dewitt, Natalie" sort="Dewitt, Natalie" uniqKey="Dewitt N" first="Natalie" last="Dewitt">Natalie Dewitt</name>
<name sortKey="Dewitt, Natalie" sort="Dewitt, Natalie" uniqKey="Dewitt N" first="Natalie" last="Dewitt">Natalie Dewitt</name>
<name sortKey="Gourraud, Pierre Antoine" sort="Gourraud, Pierre Antoine" uniqKey="Gourraud P" first="Pierre-Antoine" last="Gourraud">Pierre-Antoine Gourraud</name>
<name sortKey="Talib, Sohel" sort="Talib, Sohel" uniqKey="Talib S" first="Sohel" last="Talib">Sohel Talib</name>
<name sortKey="Trounson, Alan" sort="Trounson, Alan" uniqKey="Trounson A" first="Alan" last="Trounson">Alan Trounson</name>
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<name sortKey="Trounson, Alan" sort="Trounson, Alan" uniqKey="Trounson A" first="Alan" last="Trounson">Alan Trounson</name>
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<name sortKey="Dewitt, Natalie" sort="Dewitt, Natalie" uniqKey="Dewitt N" first="Natalie" last="Dewitt">Natalie Dewitt</name>
</country>
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