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Genetic landscape of T cells identifies synthetic lethality for T-ALL

To capture the global gene network regulating the differentiation of immature T cells in an unbiased manner, large-scale forward genetic screens in zebrafish were conducted and combined with genetic interaction analysis. After ENU mutagenesis, genetic lesions associated with failure of T cell develo...

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Autores principales: O’Meara, Connor P., Guerri, Lucia, Lawir, Divine-Fondzenyuy, Mateos, Fernando, Iconomou, Mary, Iwanami, Norimasa, Soza-Ried, Cristian, Sikora, Katarzyna, Siamishi, Iliana, Giorgetti, Orlando, Peter, Sarah, Schorpp, Michael, Boehm, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528931/
https://www.ncbi.nlm.nih.gov/pubmed/34671088
http://dx.doi.org/10.1038/s42003-021-02694-x
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author O’Meara, Connor P.
Guerri, Lucia
Lawir, Divine-Fondzenyuy
Mateos, Fernando
Iconomou, Mary
Iwanami, Norimasa
Soza-Ried, Cristian
Sikora, Katarzyna
Siamishi, Iliana
Giorgetti, Orlando
Peter, Sarah
Schorpp, Michael
Boehm, Thomas
author_facet O’Meara, Connor P.
Guerri, Lucia
Lawir, Divine-Fondzenyuy
Mateos, Fernando
Iconomou, Mary
Iwanami, Norimasa
Soza-Ried, Cristian
Sikora, Katarzyna
Siamishi, Iliana
Giorgetti, Orlando
Peter, Sarah
Schorpp, Michael
Boehm, Thomas
author_sort O’Meara, Connor P.
collection PubMed
description To capture the global gene network regulating the differentiation of immature T cells in an unbiased manner, large-scale forward genetic screens in zebrafish were conducted and combined with genetic interaction analysis. After ENU mutagenesis, genetic lesions associated with failure of T cell development were identified by meiotic recombination mapping, positional cloning, and whole genome sequencing. Recessive genetic variants in 33 genes were identified and confirmed as causative by additional experiments. The mutations affected T cell development but did not perturb the development of an unrelated cell type, growth hormone-expressing somatotrophs, providing an important measure of cell-type specificity of the genetic variants. The structure of the genetic network encompassing the identified components was established by a subsequent genetic interaction analysis, which identified many instances of positive (alleviating) and negative (synthetic) genetic interactions. Several examples of synthetic lethality were subsequently phenocopied using combinations of small molecule inhibitors. These drugs not only interfered with normal T cell development, but also elicited remission in a model of T cell acute lymphoblastic leukaemia. Our findings illustrate how genetic interaction data obtained in the context of entire organisms can be exploited for targeted interference with specific cell types and their malignant derivatives.
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spelling pubmed-85289312021-10-22 Genetic landscape of T cells identifies synthetic lethality for T-ALL O’Meara, Connor P. Guerri, Lucia Lawir, Divine-Fondzenyuy Mateos, Fernando Iconomou, Mary Iwanami, Norimasa Soza-Ried, Cristian Sikora, Katarzyna Siamishi, Iliana Giorgetti, Orlando Peter, Sarah Schorpp, Michael Boehm, Thomas Commun Biol Article To capture the global gene network regulating the differentiation of immature T cells in an unbiased manner, large-scale forward genetic screens in zebrafish were conducted and combined with genetic interaction analysis. After ENU mutagenesis, genetic lesions associated with failure of T cell development were identified by meiotic recombination mapping, positional cloning, and whole genome sequencing. Recessive genetic variants in 33 genes were identified and confirmed as causative by additional experiments. The mutations affected T cell development but did not perturb the development of an unrelated cell type, growth hormone-expressing somatotrophs, providing an important measure of cell-type specificity of the genetic variants. The structure of the genetic network encompassing the identified components was established by a subsequent genetic interaction analysis, which identified many instances of positive (alleviating) and negative (synthetic) genetic interactions. Several examples of synthetic lethality were subsequently phenocopied using combinations of small molecule inhibitors. These drugs not only interfered with normal T cell development, but also elicited remission in a model of T cell acute lymphoblastic leukaemia. Our findings illustrate how genetic interaction data obtained in the context of entire organisms can be exploited for targeted interference with specific cell types and their malignant derivatives. Nature Publishing Group UK 2021-10-20 /pmc/articles/PMC8528931/ /pubmed/34671088 http://dx.doi.org/10.1038/s42003-021-02694-x Text en © The Author(s) 2021 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
O’Meara, Connor P.
Guerri, Lucia
Lawir, Divine-Fondzenyuy
Mateos, Fernando
Iconomou, Mary
Iwanami, Norimasa
Soza-Ried, Cristian
Sikora, Katarzyna
Siamishi, Iliana
Giorgetti, Orlando
Peter, Sarah
Schorpp, Michael
Boehm, Thomas
Genetic landscape of T cells identifies synthetic lethality for T-ALL
title Genetic landscape of T cells identifies synthetic lethality for T-ALL
title_full Genetic landscape of T cells identifies synthetic lethality for T-ALL
title_fullStr Genetic landscape of T cells identifies synthetic lethality for T-ALL
title_full_unstemmed Genetic landscape of T cells identifies synthetic lethality for T-ALL
title_short Genetic landscape of T cells identifies synthetic lethality for T-ALL
title_sort genetic landscape of t cells identifies synthetic lethality for t-all
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528931/
https://www.ncbi.nlm.nih.gov/pubmed/34671088
http://dx.doi.org/10.1038/s42003-021-02694-x
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