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Multiarm high-throughput integration site detection: limitations of LAM-PCR technology and optimization for clonal analysis.

Multiarm high-throughput integration site detection: limitations of LAM-PCR technology and optimization for clonal analysis. Research Abstract Details 

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  • Multiarm high-throughput integration site detection: limitations of LAM-PCR technology and optimization for clonal analysis. Abstract Text:

    michael a harkeyMichael A Harkey,rajinder kaulRajinder Kaul,michael a jacobsMichael A Jacobs,peter kurrePeter Kurre,don boveeDon Bovee,ruth levyRuth Levy,c anthony blauC Anthony Blau,michael a harkeyMichael A Harkey,rajinder kaulRajinder Kaul,michael a jacobsMichael A Jacobs,peter kurrePeter Kurre,don boveeDon Bovee,ruth levyRuth Levy,c anthony blauC Anthony Blau,

    Retroviral integration provides a unique and heritable genomic tag for a target cell and its progeny, enabling studies of clonal composition and repopulation kinetics after gene transfer into hematopoietic stem cells. The clonal tracking method, linear amplification-mediated polymerase chain reaction (LAM-PCR) is widely employed to follow the hematopoietic output of retrovirally marked stem cells. Here we examine the capabilities and limitations of conventional LAM-PCR to track individual clones in a complex multiclonal mix. Using artificial mixtures of retrovirally marked, single-cell-derived clones, we demonstrate that LAM-PCR fails to detect 30-40% of the clones, even after exhaustive analysis. Furthermore, the relative abundance of specific clones within a mix is not accurately represented, deviating by as much as 60-fold from their true abundance. We describe an optimized, multiarm, high-throughput modification of LAM-PCR that improves the global detection capacity to greater than 90% with exhaustive sampling, facilitates accurate estimates of the total pool size from smaller samplings, and provides a rapid, cost-effective approach to the generation of large insertion-site data bases required for evaluation of vector integration preferences. The inability to estimate the abundance of individual clones within mixtures remains a serious limitation. Thus, although LAM-PCR is a powerful tool for identification of integration sites and for estimations of clonal complexity, it fails to provide the semiquantitative information necessary for direct, reliable tracking of individual clones in a chimeric background.

    Multiarm high-throughput integration site detection: limitations of LAM-PCR technology and optimization for clonal analysis. Publishing Authors By Initials

    ma harkeyMA Harkey,r kaulR Kaul,ma jacobsMA Jacobs,p kurreP Kurre,d boveeD Bovee,r levyR Levy,ca blauCA Blau,ma harkeyMA Harkey,r kaulR Kaul,ma jacobsMA Jacobs,p kurreP Kurre,d boveeD Bovee,r levyR Levy,ca blauCA Blau,

    For similar abstracts research abstracts see: abstracts research

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    Multiarm high-throughput integration site detection: limitations of LAM-PCR technology and optimization for clonal analysis. Journal Published:

    PUBLICATION TYPE: Research Support, N.I.H., Extr

    Journal: Stem cells and development

    VOLUME: 16

    Page Numbers: 381-92

    Journal Abbreviation: Stem Cells Dev.

    ISSN: 1547-3287

    DAY: 5

    MONTH: Jun

    YEAR: 2007

    Multiarm high-throughput integration site detection: limitations of LAM-PCR technology and optimization for clonal analysis. Information

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    LANGUAGE: eng

    NlmUniqueID: 101197107

    Multiarm high-throughput integration site detection: limitations of LAM-PCR technology and optimization for clonal analysis. Keywords Mesh Terms:

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    Grant and Affiliation Information for Multiarm high-throughput integration site detection: limitations of LAM-PCR technology and optimization for clonal analysis.

    AFFILIATION: Department of Transplantation Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA. mharkey@fhcrc.org

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY: United States NIDDK

    GRANT: R01 DK61844-01

    ACRONYM: DK

    MEDLINETA: Stem Cells Dev

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