Droplet digital polymerase chain reaction-based quantitation of therapeutic lentiviral vector copies in transduced hematopoietic stem cells.

beta-thalassemia droplet digital PCR gene therapy lentiviral vector vector copy number

Journal

Cytotherapy
ISSN: 1477-2566
Titre abrégé: Cytotherapy
Pays: England
ID NLM: 100895309

Informations de publication

Date de publication:
01 Mar 2024
Historique:
received: 08 11 2023
revised: 12 02 2024
accepted: 21 02 2024
medline: 29 3 2024
pubmed: 29 3 2024
entrez: 29 3 2024
Statut: aheadofprint

Résumé

Gene therapy using lentiviral vectors (LVs) that harbor a functional β-globin gene provides a curative treatment for hemoglobinopathies including beta-thalassemia and sickle cell disease. Accurate quantification of the vector copy number (VCN) and/or the proportion of transduced cells is critical to evaluate the efficacy of transduction and stability of the transgene during treatment. Moreover, commonly used techniques for LV quantification, including real-time quantitative polymerase chain reaction (PCR) or fluorescence-activated cell sorting, require either a standard curve or expression of a reporter protein for the detection of transduced cells. In the present study, we describe a digital droplet PCR (ddPCR) technique to measure the lentiviral VCN in transduced hematopoietic stem and progenitor cells (HSPCs). After HSPCs were transduced with an LV encoding the therapeutic β-globin (β We found that the ddPCR-based approach was able to estimate VCN with high sensitivity and a low standard deviation. Furthermore, ddPCR-mediated quantitation of lentiviral copy numbers in differentiated erythroblasts correlated with the level of β Taken together, the ddPCR technique has the potential to precisely detect LV copy numbers in the host genome, which can be used for VCN estimation, calculation of infectious titer and multiplicity of infection for HSPC transduction in a clinical setting.

Sections du résumé

BACKGROUND AIMS OBJECTIVE
Gene therapy using lentiviral vectors (LVs) that harbor a functional β-globin gene provides a curative treatment for hemoglobinopathies including beta-thalassemia and sickle cell disease. Accurate quantification of the vector copy number (VCN) and/or the proportion of transduced cells is critical to evaluate the efficacy of transduction and stability of the transgene during treatment. Moreover, commonly used techniques for LV quantification, including real-time quantitative polymerase chain reaction (PCR) or fluorescence-activated cell sorting, require either a standard curve or expression of a reporter protein for the detection of transduced cells. In the present study, we describe a digital droplet PCR (ddPCR) technique to measure the lentiviral VCN in transduced hematopoietic stem and progenitor cells (HSPCs).
METHODS METHODS
After HSPCs were transduced with an LV encoding the therapeutic β-globin (β
RESULTS RESULTS
We found that the ddPCR-based approach was able to estimate VCN with high sensitivity and a low standard deviation. Furthermore, ddPCR-mediated quantitation of lentiviral copy numbers in differentiated erythroblasts correlated with the level of β
CONCLUSIONS CONCLUSIONS
Taken together, the ddPCR technique has the potential to precisely detect LV copy numbers in the host genome, which can be used for VCN estimation, calculation of infectious titer and multiplicity of infection for HSPC transduction in a clinical setting.

Identifiants

pubmed: 38551525
pii: S1465-3249(24)00063-X
doi: 10.1016/j.jcyt.2024.02.018
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors have no commercial, proprietary or financial interest in the products or companies described in this article.

Auteurs

Suphanun Phuphanitcharoenkun (S)

Department of Biotechnology, Faculty of Science, Mahidol University, Bangkok, Thailand.

Kanit Bhukhai (K)

Department of Physiology, Faculty of Science, Mahidol University, Bangkok, Thailand.

Phetcharat Phanthong (P)

Department of Anatomy, Faculty of Science, Mahidol University, Bangkok, Thailand.

Somsak Prasongtanakij (S)

Research Center, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Aung Khine Linn (AK)

Excellent Center for Drug Discovery, Faculty of Science, Mahidol University, Bangkok, Thailand.

Nareerat Sutjarit (N)

Graduate Program in Nutrition, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Usanarat Anurathapan (U)

Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Philippe Leboulch (P)

Harvard Medical School and Genetics Division, Department of Medicine, Brigham & Women's Hospital, Boston, Massachusetts, USA.

Emmanuel Payen (E)

Paris-Saclay University, CEA, INSERM, Center for Immunology of Viral, Auto - immune, Hematological and Bacterial Diseases, Fontenay aux Roses, France.

Suradej Hongeng (S)

Excellent Center for Drug Discovery, Faculty of Science, Mahidol University, Bangkok, Thailand; Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand. Electronic address: suradej.hon@mahidol.ac.th.

Suparerk Borwornpinyo (S)

Department of Biotechnology, Faculty of Science, Mahidol University, Bangkok, Thailand; Excellent Center for Drug Discovery, Faculty of Science, Mahidol University, Bangkok, Thailand. Electronic address: suparerk.bor@mahidol.ac.th.

Classifications MeSH