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Cancer genome datamining and functional genetic analysis implicate mechanisms of ATM/ATR dysfunction underpinning carcinogenesis.
Waskiewicz, Erik; Vasiliou, Michalis; Corcoles-Saez, Isaac; Cha, Rita S.
Affiliation
  • Waskiewicz E; School of Medical Sciences and North West Cancer Research Institute, Bangor University, Bangor, UK.
  • Vasiliou M; School of Medical Sciences and North West Cancer Research Institute, Bangor University, Bangor, UK.
  • Corcoles-Saez I; School of Medical Sciences and North West Cancer Research Institute, Bangor University, Bangor, UK.
  • Cha RS; School of Medical Sciences and North West Cancer Research Institute, Bangor University, Bangor, UK. r.cha@bangor.ac.uk.
Commun Biol ; 4(1): 363, 2021 03 19.
Article in En | MEDLINE | ID: mdl-33742106
ABSTRACT
ATM and ATR are conserved regulators of the DNA damage response linked to cancer. Comprehensive DNA sequencing efforts identified ~4,000 cancer-associated mutations in ATM/ATR; however, their cancer implications remain largely unknown. To gain insights, we identify functionally important conserved residues in ATM, ATR and budding yeast Mec1ATR via cancer genome datamining and a functional genetic analysis, respectively. Surprisingly, only a small fraction of the critical residues is in the active site of the respective enzyme complexes, implying that loss of the intrinsic kinase activity is infrequent in carcinogenesis. A number of residues are solvent accessible, suggestive of their involvement in interacting with a protein-partner(s). The majority, buried inside the respective enzyme complexes, might play a structural or regulatory role. Together, these findings identify evolutionarily conserved ATM, ATR, and Mec1ATR residues involved in diverse aspects of the enzyme function and provide fresh insights into the elusive genotype-phenotype relationships in ATM/ATR and their cancer-associated variants.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell Transformation, Neoplastic / Mutation, Missense / Data Mining / Ataxia Telangiectasia Mutated Proteins / Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Commun Biol Year: 2021 Document type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell Transformation, Neoplastic / Mutation, Missense / Data Mining / Ataxia Telangiectasia Mutated Proteins / Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Commun Biol Year: 2021 Document type: Article Affiliation country: United kingdom