Literature DB >> 17603123

Inferring somatic mutation rates using the stop-enhanced green fluorescent protein mouse.

Simon Ro1, Bruce Rannala.   

Abstract

A new method is developed for estimating rates of somatic mutation in vivo. The stop-enhanced green fluorescent protein (EGFP) transgenic mouse carries multiple copies of an EGFP gene with a premature stop codon. The gene can revert to a functional form via point mutations. Mice treated with a potent mutagen, N-ethyl-N-nitrosourea (ENU), and mice treated with a vehicle alone are assayed for mutations in liver cells. A stochastic model is developed to model the mutation and gene expression processes and maximum-likelihood estimators of the model parameters are derived. A likelihood-ratio test (LRT) is developed for detecting mutagenicity. Parametric bootstrap simulations are used to obtain confidence intervals of the parameter estimates and to estimate the significance of the LRT. The LRT is highly significant (alpha < 0.01) and the 95% confidence interval for the relative effect of the mutagen (the ratio of the rate of mutation during the interval of mutagen exposure to the rate of background mutation) ranges from a minimum 200-fold effect of the mutagen to a maximum 2000-fold effect.

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Year:  2007        PMID: 17603123      PMCID: PMC2013726          DOI: 10.1534/genetics.106.069310

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  31 in total

Review 1.  Transgenic mouse mutation assay systems can play an important role in regulatory mutagenicity testing in vivo for the detection of site-of-contact mutagens.

Authors:  S W Dean; T M Brooks; B Burlinson; J Mirsalis; B Myhr; L Recio; V Thybaud
Journal:  Mutagenesis       Date:  1999-01       Impact factor: 3.000

Review 2.  Mutant manifestation: the time factor in somatic mutagenesis.

Authors:  J A Heddle
Journal:  Mutagenesis       Date:  1999-01       Impact factor: 3.000

Review 3.  On clonal expansion and its effects on mutant frequencies, mutation spectra and statistics for somatic mutations in vivo.

Authors:  J A Heddle
Journal:  Mutagenesis       Date:  1999-05       Impact factor: 3.000

4.  The relationship between mutant frequency and time in vivo: simple predictions for any tissue, cell type, or mutagen.

Authors:  B Sun; J A Heddle
Journal:  Mutat Res       Date:  1999-04-06       Impact factor: 2.433

5.  Ethylnitrosourea-induced mutation and molecular analysis of transgenic mice containing the gpt shuttle vector.

Authors:  T Yamada; R Yamamoto; H Kaneko; A Yoshitake
Journal:  Mutat Res       Date:  1999-04-26       Impact factor: 2.433

6.  Magnifying stem cell lineages: the stop-EGFP mouse.

Authors:  Simon Ro
Journal:  Cell Cycle       Date:  2004-10-06       Impact factor: 4.534

Review 7.  Making ends meet in old age: DSB repair and aging.

Authors:  Vera Gorbunova; Andrei Seluanov
Journal:  Mech Ageing Dev       Date:  2005-03-24       Impact factor: 5.432

8.  Transgenic mutation models: research, testing, and reality checks.

Authors:  T R Skopek
Journal:  Environ Mol Mutagen       Date:  1998       Impact factor: 3.216

9.  Target organ and time-course in the mutagenicity of five carcinogens in MutaMouse: a summary report of the second collaborative study of the transgenic mouse mutation assay by JEMS/MMS.

Authors:  T Suzuki; S Itoh; M Nakajima; N Hachiya; T Hara
Journal:  Mutat Res       Date:  1999-08-18       Impact factor: 2.433

10.  Organ variation in the mutagenicity of ethylnitrosourea in Muta mouse: results of the collaborative study on the transgenic mutation assay by JEMS/MMS. The Collaborative Study Group for the Transgenic Mouse Mutation Assay Mammalian Mutagenesis Study Group of the Environmental Mutagen Society of Japan.

Authors: 
Journal:  Environ Mol Mutagen       Date:  1996       Impact factor: 3.216

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  1 in total

1.  Transgenic mouse model expressing P53(R172H), luciferase, EGFP, and KRAS(G12D) in a single open reading frame for live imaging of tumor.

Authors:  Hye-Lim Ju; Diego F Calvisi; Hyuk Moon; Sinhwa Baek; Silvia Ribback; Frank Dombrowski; Kyung Joo Cho; Sook In Chung; Kwang-Hyub Han; Simon Weonsang Ro
Journal:  Sci Rep       Date:  2015-01-27       Impact factor: 4.379

  1 in total

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