Literature DB >> 15254400

Genomic instability in cancer: biological and mathematical approaches.

Natalia L Komarova1.   

Abstract

Genomic instability occurs in a majority of cancers. It manifests itself in a large number genetic alterations in cancer cells, such as small scale mutations, losses and gains of whole chromosomes and parts of chromosomes and mitotic recombinations. The role of genomic instability is still unknown. It is difficult to study because of its heterogeneous nature. Most methods based on looking for defined features of genes or gene expressions, are not applicable for unstable populations of cells. A variety of approaches are used to study genomic instability. These include experimental studies of cancer cell lines and mouse models, analysis of large amounts of data on loss of heterozygocity, and mathematical modeling of the relevant processes. We describe these approaches here; integration of different methods can improve our understanding of genomic instability.

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Year:  2004        PMID: 15254400

Source DB:  PubMed          Journal:  Cell Cycle        ISSN: 1551-4005            Impact factor:   4.534


  3 in total

1.  siRNA knockdown of ribosomal protein gene RPL19 abrogates the aggressive phenotype of human prostate cancer.

Authors:  Alix Bee; Daniel Brewer; Carol Beesley; Andrew Dodson; Shiva Forootan; Timothy Dickinson; Patricia Gerard; Brian Lane; Sheng Yao; Colin S Cooper; Mustafa B A Djamgoz; Christine M Gosden; Youqiang Ke; Christopher S Foster
Journal:  PLoS One       Date:  2011-07-22       Impact factor: 3.240

2.  Reduction of Delayed Homologous Recombination by Induction of Radioadaptive Response in RaDR-GFP Mice (Yonezawa Effect): An Old Player With a New Role.

Authors:  Cuihua Liu; Hirokazu Hirakawa; Kaoru Tanaka; Fazliana Mohd Saaya; Mitsuru Nenoi; Akira Fujimori; Bing Wang
Journal:  Dose Response       Date:  2019-03-04       Impact factor: 2.623

3.  Mitigation of Iron Irradiation-Induced Genotoxicity and Genomic Instability by Postexposure Dietary Restriction in Mice.

Authors:  Bing Wang; Takanori Katsube; Kaoru Tanaka; Masahiro Murakami; Mitsuru Nenoi
Journal:  Biomed Res Int       Date:  2021-11-25       Impact factor: 3.411

  3 in total

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