Literature DB >> 22989760

Comparative clonal analysis of reconstitution kinetics after transplantation of hematopoietic stem cells gene marked with a lentiviral SIN or a γ-retroviral LTR vector.

Kerstin Cornils1, Cynthia C Bartholomae, Lars Thielecke, Claudia Lange, Anne Arens, Ingmar Glauche, Ulrike Mock, Kristoffer Riecken, Sebastian Gerdes, Christof von Kalle, Manfred Schmidt, Ingo Roeder, Boris Fehse.   

Abstract

Retroviral gene marking has been used successfully in preclinical and clinical transplantation settings. Highly sensitive techniques for vector insertion-site determination, such as linear amplification-mediated polymerase chain reaction (LAM-PCR) in conjunction with next-generation sequencing, have been introduced to assess the composition of gene-marked hematopoiesis at a single-cell level. Here we used these novel techniques for directly comparing clonal reconstitution kinetics in mice transplanted with bone-marrow-derived stem cells genetically marked with either a standard, spleen focus-forming virus long terminal repeat (LTR)-driven γ-retroviral, or a lentiviral self-inactivating vector containing an identical but internal spleen focus-forming virus-derived enhancer/promoter. We observed that the use of the lentiviral self-inactivating vector for gene marking was associated with a broader repertoire of differently marked hematopoietic clones. More importantly, we found a significantly higher probability of insertions in growth-promoting, clonal-dominance-associated genes in the spleen focus-forming virus LTR-driven γ-retroviral vector at later time points of analysis. Based on our data, we suggest that the combined use of LAM-PCR and next-generation sequencing represents a potent tool for the analysis of clonal reconstitution kinetics in the context of gene marking with integrated vectors. At the same time, our findings prove that the use of multiple restriction enzymes for LAM-PCR is indispensable to detect most or ideally all individual stem cell clones contributing to hematopoiesis. We have also found that techniques such as quantitative PCR can be helpful to retrospectively analyze reconstitution kinetics for individual hematopoietic stem cell clones. Finally, our results confirm the notion that marking with lentiviral self-inactivating vectors is associated with a lower risk of genotoxicity as compared with γ-retroviral LTR vectors.
Copyright © 2013 ISEH - Society for Hematology and Stem Cells. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22989760     DOI: 10.1016/j.exphem.2012.09.003

Source DB:  PubMed          Journal:  Exp Hematol        ISSN: 0301-472X            Impact factor:   3.084


  15 in total

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Authors:  Martijn H Brugman; Julia D Suerth; Michael Rothe; Sebastian Suerbaum; Axel Schambach; Ute Modlich; Olga Kustikova; Christopher Baum
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4.  Quantitative shearing linear amplification polymerase chain reaction: an improved method for quantifying lentiviral vector insertion sites in transplanted hematopoietic cell systems.

Authors:  Sheng Zhou; Melissa A Bonner; Yong-Dong Wang; Samuel Rapp; Suk See De Ravin; Harry L Malech; Brian P Sorrentino
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Authors:  David J H F Knapp; Rachel A McGovern; Art F Y Poon; Xiaoyin Zhong; Dennison Chan; Luke C Swenson; Winnie Dong; P Richard Harrigan
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9.  High-throughput monitoring of integration site clonality in preclinical and clinical gene therapy studies.

Authors:  Frank A Giordano; Jens-Uwe Appelt; Barbara Link; Sebastian Gerdes; Christina Lehrer; Simone Scholz; Anna Paruzynski; Ingo Roeder; Frederik Wenz; Hanno Glimm; Christof von Kalle; Manuel Grez; Manfred Schmidt; Stephanie Laufs
Journal:  Mol Ther Methods Clin Dev       Date:  2015-04-01       Impact factor: 6.698

10.  Multiplexing clonality: combining RGB marking and genetic barcoding.

Authors:  Kerstin Cornils; Lars Thielecke; Svenja Hüser; Michael Forgber; Michael Thomaschewski; Nadja Kleist; Kais Hussein; Kristoffer Riecken; Tassilo Volz; Sebastian Gerdes; Ingmar Glauche; Andreas Dahl; Maura Dandri; Ingo Roeder; Boris Fehse
Journal:  Nucleic Acids Res       Date:  2014-01-29       Impact factor: 16.971

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