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Clonal reconstruction from co-occurrence of vector integration sites accurately quantifies expanding clones in vivo
High transduction rates of viral vectors in gene therapies (GT) and experimental hematopoiesis ensure a high frequency of gene delivery, although multiple integration events can occur in the same cell. Therefore, tracing of integration sites (IS) leads to mis-quantification of the true clonal spectr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240075/ https://www.ncbi.nlm.nih.gov/pubmed/35764632 http://dx.doi.org/10.1038/s41467-022-31292-6 |
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author | Wagner, Sebastian Baldow, Christoph Calabria, Andrea Rudilosso, Laura Gallina, Pierangela Montini, Eugenio Cesana, Daniela Glauche, Ingmar |
author_facet | Wagner, Sebastian Baldow, Christoph Calabria, Andrea Rudilosso, Laura Gallina, Pierangela Montini, Eugenio Cesana, Daniela Glauche, Ingmar |
author_sort | Wagner, Sebastian |
collection | PubMed |
description | High transduction rates of viral vectors in gene therapies (GT) and experimental hematopoiesis ensure a high frequency of gene delivery, although multiple integration events can occur in the same cell. Therefore, tracing of integration sites (IS) leads to mis-quantification of the true clonal spectrum and limits safety considerations in GT. Hence, we use correlations between repeated measurements of IS abundances to estimate their mutual similarity and identify clusters of co-occurring IS, for which we assume a clonal origin. We evaluate the performance, robustness and specificity of our methodology using clonal simulations. The reconstruction methods, implemented and provided as an R-package, are further applied to experimental clonal mixes and preclinical models of hematopoietic GT. Our results demonstrate that clonal reconstruction from IS data allows to overcome systematic biases in the clonal quantification as an essential prerequisite for the assessment of safety and long-term efficacy of GT involving integrative vectors. |
format | Online Article Text |
id | pubmed-9240075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92400752022-06-30 Clonal reconstruction from co-occurrence of vector integration sites accurately quantifies expanding clones in vivo Wagner, Sebastian Baldow, Christoph Calabria, Andrea Rudilosso, Laura Gallina, Pierangela Montini, Eugenio Cesana, Daniela Glauche, Ingmar Nat Commun Article High transduction rates of viral vectors in gene therapies (GT) and experimental hematopoiesis ensure a high frequency of gene delivery, although multiple integration events can occur in the same cell. Therefore, tracing of integration sites (IS) leads to mis-quantification of the true clonal spectrum and limits safety considerations in GT. Hence, we use correlations between repeated measurements of IS abundances to estimate their mutual similarity and identify clusters of co-occurring IS, for which we assume a clonal origin. We evaluate the performance, robustness and specificity of our methodology using clonal simulations. The reconstruction methods, implemented and provided as an R-package, are further applied to experimental clonal mixes and preclinical models of hematopoietic GT. Our results demonstrate that clonal reconstruction from IS data allows to overcome systematic biases in the clonal quantification as an essential prerequisite for the assessment of safety and long-term efficacy of GT involving integrative vectors. Nature Publishing Group UK 2022-06-28 /pmc/articles/PMC9240075/ /pubmed/35764632 http://dx.doi.org/10.1038/s41467-022-31292-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wagner, Sebastian Baldow, Christoph Calabria, Andrea Rudilosso, Laura Gallina, Pierangela Montini, Eugenio Cesana, Daniela Glauche, Ingmar Clonal reconstruction from co-occurrence of vector integration sites accurately quantifies expanding clones in vivo |
title | Clonal reconstruction from co-occurrence of vector integration sites accurately quantifies expanding clones in vivo |
title_full | Clonal reconstruction from co-occurrence of vector integration sites accurately quantifies expanding clones in vivo |
title_fullStr | Clonal reconstruction from co-occurrence of vector integration sites accurately quantifies expanding clones in vivo |
title_full_unstemmed | Clonal reconstruction from co-occurrence of vector integration sites accurately quantifies expanding clones in vivo |
title_short | Clonal reconstruction from co-occurrence of vector integration sites accurately quantifies expanding clones in vivo |
title_sort | clonal reconstruction from co-occurrence of vector integration sites accurately quantifies expanding clones in vivo |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240075/ https://www.ncbi.nlm.nih.gov/pubmed/35764632 http://dx.doi.org/10.1038/s41467-022-31292-6 |
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