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

O’Meara, C. P., Guerri, L., Lawir, D.-F., Mateos, F., Iconomou, M., Iwanami, N., et al. (2021). Genetic landscape of T cells identifies synthetic lethality for T-ALL. Communications Biology, 4: 1201. doi:10.1038/s42003-021-02694-x.

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O Meara et al. 2021.pdf (Publisher version), 4MB
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Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License
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O’Meara, Connor P.1, Author
Guerri, Lucia1, Author
Lawir, Divine-Fondzenyuy1, Author
Mateos, Fernando1, Author
Iconomou, Mary1, Author
Iwanami, Norimasa1, Author
Soza-Ried, Cristian1, Author
Sikora, Katarzyna2, Author
Siamishi, Iliana1, Author
Giorgetti, Orlando Bruno1, Author           
Peter, Sarah2, Author
Schorpp, Michael1, Author
Boehm, Thomas1, Author           
Affiliations:
1Department of Developmental Immunology, Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society, ou_2243647              
2Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society, ou_persistent22              

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 Abstract: 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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Language(s): eng - English
 Dates: 2021-10-20
 Publication Status: Published online
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 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s42003-021-02694-x
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Title: Communications Biology
Source Genre: Journal
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Publ. Info: London : Springer Nature
Pages: - Volume / Issue: 4 Sequence Number: 1201 Start / End Page: - Identifier: ISSN: 2399-3642
CoNE: https://pure.mpg.de/cone/journals/resource/2399-3642