Literature DB >> 10751600

Age-associated increase of spontaneous mutant frequency and molecular nature of mutation in newborn and old lacZ-transgenic mouse.

T Ono1, H Ikehata, S Nakamura, Y Saito, Y Hosoi, Y Takai, S Yamada, J Onodera, K Yamamoto.   

Abstract

Accumulation of mutation has long been hypothesized to be a cause of aging and contribute to many of the degenerative diseases, which appear in the senescent phase of life. To test this hypothesis, age-associated changes in spontaneous mutation in different tissues of the body as well as the molecular nature of such changes should be examined. This kind of approach has become feasible only lately with a development of new transgenic mice suitable for mutation assay. Here, using one of these transgenic mice harboring lacZ gene, we have shown that the age-associated increase in spontaneous mutant frequency is common to all tissues examined; spleen, liver, heart, brain, skin and testis, while the rates of increase in mutant frequency differed among the tissues. DNA sequencing of the 496 lacZ mutants recovered from the tissues of newborn and old mice has revealed that spectra of mutations are similar at the two age points with G:C to A:T transition at CpG site being a predominant type of mutation. Furthermore, some mutations in old tissues are complex type and not found in tissues of newborn mice. These results suggest that similar mechanisms may be operating for mutation induction in fetal and postnatal aging process. In addition, the appearance of complex types of mutations in the old tissues suggests a unique cause for these mutations in aging tissues.

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Year:  2000        PMID: 10751600     DOI: 10.1016/s0027-5107(99)00200-6

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  18 in total

1.  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 2.  Somatic mutations in aging, cancer and neurodegeneration.

Authors:  Scott R Kennedy; Lawrence A Loeb; Alan J Herr
Journal:  Mech Ageing Dev       Date:  2011-11-03       Impact factor: 5.432

Review 3.  Mutation and catastrophe in the aging genome.

Authors:  Brandon Milholland; Yousin Suh; Jan Vijg
Journal:  Exp Gerontol       Date:  2017-03-02       Impact factor: 4.032

4.  Tissue-specific differences in the accumulation of sequence rearrangements with age.

Authors:  Dominika M Wiktor-Brown; Werner Olipitz; Carrie A Hendricks; Rebecca E Rugo; Bevin P Engelward
Journal:  DNA Repair (Amst)       Date:  2008-03-20

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

Authors:  Guogang Xu; Maryanne Herzig; Vladimir Rotrekl; Christi A Walter
Journal:  Mech Ageing Dev       Date:  2008-03-13       Impact factor: 5.432

Review 6.  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

7.  Age-dependent accumulation of recombinant cells in the mouse pancreas revealed by in situ fluorescence imaging.

Authors:  Dominika M Wiktor-Brown; Carrie A Hendricks; Werner Olipitz; Bevin P Engelward
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-01       Impact factor: 11.205

8.  Advancing age has differential effects on DNA damage, chromatin integrity, gene mutations, and aneuploidies in sperm.

Authors:  A J Wyrobek; B Eskenazi; S Young; N Arnheim; I Tiemann-Boege; E W Jabs; R L Glaser; F S Pearson; D Evenson
Journal:  Proc Natl Acad Sci U S A       Date:  2006-06-09       Impact factor: 11.205

9.  Reduced rates of gene loss, gene silencing, and gene mutation in Dnmt1-deficient embryonic stem cells.

Authors:  M F Chan; R van Amerongen; T Nijjar; E Cuppen; P A Jones; P W Laird
Journal:  Mol Cell Biol       Date:  2001-11       Impact factor: 4.272

10.  Altered senescence, apoptosis, and DNA damage response in a mutant p53 model of accelerated aging.

Authors:  George W Hinkal; Catherine E Gatza; Neha Parikh; Lawrence A Donehower
Journal:  Mech Ageing Dev       Date:  2009-04       Impact factor: 5.432

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