Literature DB >> 11788717

Mutational fingerprints of aging.

Martijn E T Dollé1, Wendy K Snyder, David B Dunson, Jan Vijg.   

Abstract

Using a lacZ plasmid transgenic mouse model, spectra of spontaneous point mutations were determined in brain, heart, liver, spleen and small intestine in young and old mice. While similar at a young age, the mutation spectra among these organs were significantly different in old age. In brain and heart G:C-->A:T transitions at CpG sites were the predominant mutation, suggesting that oxidative damage is not a major mutagenic event in these tissues. Other base changes, especially those affecting A:T base pairs, positively correlated with increasing proliferative activity of the different tissues. A relatively high percentage of base changes at A:T base pairs and compound mutants were found in both spleen and spontaneous lymphoma, suggesting a possible role of the hypermutation process in splenocytes in carcinogenesis. The similar mutant spectra observed at a young age may reflect a common mutation mechanism for all tissues that could be driven by the rapid cell division that takes place during development. However, the spectra of the young tissues did not resemble that of the most proliferative aged tissue, implying that replicative history per se is not the underlying causal factor of age-related organ-specific differences in mutation spectra. Rather, differences in organ function, possibly in association with replicative history, may explain the divergence in mutation spectra during aging.

Entities:  

Mesh:

Year:  2002        PMID: 11788717      PMCID: PMC99828          DOI: 10.1093/nar/30.2.545

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  24 in total

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Review 3.  Why do we age?

Authors:  T B Kirkwood; S N Austad
Journal:  Nature       Date:  2000-11-09       Impact factor: 49.962

4.  Bayesian analysis of mutational spectra.

Authors:  D B Dunson; K R Tindall
Journal:  Genetics       Date:  2000-11       Impact factor: 4.562

5.  Distinct spectra of somatic mutations accumulated with age in mouse heart and small intestine.

Authors:  M E Dollé; W K Snyder; J A Gossen; P H Lohman; J Vijg
Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-18       Impact factor: 11.205

Review 6.  Age-associated alterations of the mitochondrial genome.

Authors:  C M Lee; R Weindruch; J M Aiken
Journal:  Free Radic Biol Med       Date:  1997       Impact factor: 7.376

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Authors:  R S Sohal; R Weindruch
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Review 8.  A mutator phenotype in cancer.

Authors:  L A Loeb
Journal:  Cancer Res       Date:  2001-04-15       Impact factor: 12.701

9.  Background mutations and polymorphisms in lacZ-plasmid transgenic mice.

Authors:  M E Dollé; W K Snyder; N J van Orsouw; J Vijg
Journal:  Environ Mol Mutagen       Date:  1999       Impact factor: 3.216

10.  Web-based access to mouse models of human cancers: the Mouse Tumor Biology (MTB) Database.

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Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

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  30 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-09       Impact factor: 11.205

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Journal:  Gerontology       Date:  2011-12-10       Impact factor: 5.140

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Review 5.  Base excision repair, aging and health span.

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Journal:  Mech Ageing Dev       Date:  2008-03-13       Impact factor: 5.432

6.  Genomic variations in the counterpart normal controls of lung squamous cell carcinomas.

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Journal:  Front Med       Date:  2017-11-28       Impact factor: 4.592

Review 7.  A high-fidelity method for genomic sequencing of single somatic cells reveals a very high mutational burden.

Authors:  Jan Vijg; Xiao Dong; Lei Zhang
Journal:  Exp Biol Med (Maywood)       Date:  2017-07

8.  SUMO-1-dependent allosteric regulation of thymine DNA glycosylase alters subnuclear localization and CBP/p300 recruitment.

Authors:  Ryan D Mohan; Anita Rao; Jason Gagliardi; Marc Tini
Journal:  Mol Cell Biol       Date:  2006-10-23       Impact factor: 4.272

Review 9.  Aging genomes: a necessary evil in the logic of life.

Authors:  Jan Vijg
Journal:  Bioessays       Date:  2014-01-25       Impact factor: 4.345

10.  Senescent stroma promotes prostate cancer progression: the role of miR-210.

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Journal:  Mol Oncol       Date:  2014-07-21       Impact factor: 6.603

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