PUBLICATION
Genetic landscape of T cells identifies synthetic lethality for T-ALL
- Authors
- O'Meara, C.P., Guerri, L., Lawir, D.F., Mateos, F., Iconomou, M., Iwanami, N., Soza-Ried, C., Sikora, K., Siamishi, I., Giorgetti, O., Peter, S., Schorpp, M., Boehm, T.
- ID
- ZDB-PUB-211025-5
- Date
- 2021
- Source
- Communications biology 4: 1201 (Journal)
- Registered Authors
- Boehm, Tom, Schorpp, Michael
- Keywords
- none
- MeSH Terms
-
- Animals
- Disease Models, Animal
- Epistasis, Genetic
- Gene Regulatory Networks*
- Phenotype
- Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/genetics*
- Synthetic Lethal Mutations*
- T-Lymphocytes/metabolism*
- Zebrafish
- PubMed
- 34671088 Full text @ Commun Biol
Citation
O'Meara, C.P., Guerri, L., Lawir, D.F., Mateos, F., Iconomou, M., Iwanami, N., Soza-Ried, C., Sikora, K., Siamishi, I., Giorgetti, O., Peter, S., Schorpp, M., Boehm, T. (2021) Genetic landscape of T cells identifies synthetic lethality for T-ALL. Communications biology. 4:1201.
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.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping