Literature DB >> 33782138

Modeling DNA trapping of anticancer therapeutic targets using missense mutations identifies dominant synthetic lethal interactions.

Akil Hamza1, Leanne Amitzi1, Lina Ma1, Maureen R M Driessen1, Nigel J O'Neil1, Philip Hieter2.   

Abstract

Genetic screens can identify synthetic lethal (SL) interactions and uncover potential anticancer therapeutic targets. However, most SL screens have utilized knockout or knockdown approaches that do not accurately mimic chemical inhibition of a target protein. Here, we test whether missense mutations can be utilized as a model for a type of protein inhibition that creates a dominant gain-of-function cytotoxicity. We expressed missense mutations in the FEN1 endonuclease and the replication-associated helicase, CHL1, that inhibited enzymatic activity but retained substrate binding, and found that these mutations elicited a dominant SL phenotype consistent with the generation of cytotoxic protein-DNA or protein-protein intermediates. Genetic screens with nuclease-defective hFEN1 and helicase-deficient yCHL1 captured dominant SL interactions, in which ectopic expression of the mutant form, in the presence of the wild-type form, caused SL in specific mutant backgrounds. Expression of nuclease-defective hFEN1 in yeast elicited DNA binding-dependent dominant SL with homologous recombination mutants. In contrast, dominant SL interactions with helicase-deficient yCHL1 were observed in spindle-associated, Ctf18-alternative replication factor C (Ctf18-RFC) clamp loader complex, and cohesin mutant backgrounds. These results highlight the different mechanisms underlying SL interactions that occur in the presence of an inhibited form of the target protein and point to the utility of modeling trapping mutations in pursuit of more clinically relevant SL interactions.

Entities:  

Keywords:  Chl1 helicase; DNA trapping; Fen1 endonuclease; dominant missense mutations; dominant synthetic lethality

Year:  2021        PMID: 33782138      PMCID: PMC8040598          DOI: 10.1073/pnas.2100240118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  77 in total

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