| Literature DB >> 32040546 |
Emmanuelle Six1,2, Agathe Guilloux3, Adeline Denis1,2, Arnaud Lecoules1,2, Alessandra Magnani4, Romain Vilette3, Frances Male5, Nicolas Cagnard2,6, Marianne Delville1,2, Elisa Magrin4, Laure Caccavelli4, Cécile Roudaut4, Clemence Plantier4, Steicy Sobrino1,2, John Gregg5, Christopher L Nobles5, John K Everett5, Salima Hacein-Bey-Abina7,8, Anne Galy9,10, Alain Fischer2,11,12,13, Adrian J Thrasher14, Isabelle André1,2, Marina Cavazzana1,2,6, Frederic D Bushman5.
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.Entities:
Mesh:
Year: 2020 PMID: 32040546 PMCID: PMC7146019 DOI: 10.1182/blood.2019002350
Source DB: PubMed Journal: Blood ISSN: 0006-4971 Impact factor: 22.113