Literature DB >> 9926936

Evolutionary conservation and somatic mutation hotspot maps of p53: correlation with p53 protein structural and functional features.

D R Walker1, J P Bond, R E Tarone, C C Harris, W Makalowski, M S Boguski, M S Greenblatt.   

Abstract

Missense mutations in p53 frequently occur at 'hotspot' amino acids which are highly conserved and represent regions of structural or functional importance. Using the p53 mutation database and the p53 DNA sequences for 11 species, we more precisely defined the relationships among conservation, mutation frequency and protein structure. We aligned the p53 sequences codon-by-codon and determined the degree of substitution among them. As a whole, p53 is evolving at an average rate for a mammalian protein-coding gene. As expected, the DNA binding domain is evolving more slowly than the carboxy and amino termini. A detailed map of evolutionary conservation shows that within the DNA binding domain there are repeating peaks and valleys of higher and lower evolutionary constraint. Mutation hotspots were identified by comparing the observed distribution of mutations to the pattern expected from a random multinomial distribution. Seventy-three hotspots were identified; these 19% of codons account for 88% of all reported p53 mutations. Both high evolutionary constraint and mutation hotspots are noted at amino acids close to the protein-DNA interface and at others more distant from DNA, often buried within the core of the folded protein but sometimes on its surface. The results indicate that targeting highly conserved regions for mutational and functional analysis may be efficient strategies for the study of cancer-related genes.

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Year:  1999        PMID: 9926936     DOI: 10.1038/sj.onc.1202298

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  62 in total

1.  Mechanism of rescue of common p53 cancer mutations by second-site suppressor mutations.

Authors:  P V Nikolova; K B Wong; B DeDecker; J Henckel; A R Fersht
Journal:  EMBO J       Date:  2000-02-01       Impact factor: 11.598

2.  Inference of functional regions in proteins by quantification of evolutionary constraints.

Authors:  Alexander L Simon; Eric A Stone; Arend Sidow
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-05       Impact factor: 11.205

Review 3.  p53, oxidative stress, and aging.

Authors:  Dongping Liu; Yang Xu
Journal:  Antioxid Redox Signal       Date:  2011-02-07       Impact factor: 8.401

4.  Physicochemical constraint violation by missense substitutions mediates impairment of protein function and disease severity.

Authors:  Eric A Stone; Arend Sidow
Journal:  Genome Res       Date:  2005-06-17       Impact factor: 9.043

5.  Identifying functionally important mutations from phenotypically diverse sequence data.

Authors:  Kyle Jensen; Hal Alper; Curt Fischer; Gregory Stephanopoulos
Journal:  Appl Environ Microbiol       Date:  2006-05       Impact factor: 4.792

6.  Pan-cancer analysis of expressed somatic nucleotide variants in long intergenic non-coding RNA.

Authors:  Travers Ching; Lana X Garmire
Journal:  Pac Symp Biocomput       Date:  2018

7.  In silico analysis of missense substitutions using sequence-alignment based methods.

Authors:  Sean V Tavtigian; Marc S Greenblatt; Fabienne Lesueur; Graham B Byrnes
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

8.  Locus-specific databases and recommendations to strengthen their contribution to the classification of variants in cancer susceptibility genes.

Authors:  Marc S Greenblatt; Lawrence C Brody; William D Foulkes; Maurizio Genuardi; Robert M W Hofstra; Magali Olivier; Sharon E Plon; Rolf H Sijmons; Olga Sinilnikova; Amanda B Spurdle
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

9.  Biochemical and functional evidence of p53 homology is inconsistent with molecular phylogenetics for distant sequences.

Authors:  Andrew D Fernandes; William R Atchley
Journal:  J Mol Evol       Date:  2008-06-17       Impact factor: 2.395

10.  Stable production of peptide antigens in transgenic tobacco chloroplasts by fusion to the p53 tetramerisation domain.

Authors:  Susana M Ortigosa; Alicia Fernández-San Millán; Jon Veramendi
Journal:  Transgenic Res       Date:  2009-12-02       Impact factor: 2.788

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