O'Meara, Connor P., Guerri, Lucia, Lawir, Divine-Fondzenyuy, Mateos, Fernando, Iconomou, Mary, Iwanami, Norimasa ORCID: 0000-0002-9188-8636, Soza-Ried, Cristian, Sikora, Katarzyna, Siamishi, Iliana, Giorgetti, Orlando, Peter, Sarah, Schorpp, Michael and Boehm, Thomas (2021). Genetic landscape of T cells identifies synthetic lethality for T-ALL. Commun. Biol., 4 (1). BERLIN: NATURE PORTFOLIO. ISSN 2399-3642

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Abstract

O'Meara et al. utilize a panel of zebrafish mutants to perform a whole organism genetic interaction screen, examining the network regulating T cell differentiation. The authors use a T cell acute lymphoblastic leukemia (T-ALL) model to integrate the effects of small molecule inhibitors of the T cell differentiation pathway and establish a combination therapy for T-ALL in juvenile zebrafish. 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.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
O'Meara, Connor P.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Guerri, LuciaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lawir, Divine-FondzenyuyUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mateos, FernandoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Iconomou, MaryUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Iwanami, NorimasaUNSPECIFIEDorcid.org/0000-0002-9188-8636UNSPECIFIED
Soza-Ried, CristianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Sikora, KatarzynaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Siamishi, IlianaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Giorgetti, OrlandoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Peter, SarahUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schorpp, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Boehm, ThomasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-597003
DOI: 10.1038/s42003-021-02694-x
Journal or Publication Title: Commun. Biol.
Volume: 4
Number: 1
Date: 2021
Publisher: NATURE PORTFOLIO
Place of Publication: BERLIN
ISSN: 2399-3642
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
IN-VIVO; HIGH-THROUGHPUT; ZEBRAFISH; GENOME; INHIBITION; REVEALS; MOUSE; TARGET; P53; THYMOPOIESISMultiple languages
Biology; Multidisciplinary SciencesMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/59700

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