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ABSTRACT: Susceptibility to tumor development varies among mice strains. Using inbred NIH and wild-derived outbred Mus spretus backcrosses, skin cancer-susceptibility loci were mapped [Nagase et al. 1995. Nat Genet 10: 424-429; Nagase et al. 1999. Proc Natl Acad Sci USA 96: 15032-15037], and Skts13 was identified as the Aurka gene using a conventional linkage in conjunction with haplotype analysis [Ewart-Toland et al. 2003. Nat Genet 34: 403-412]. In the present study, we examined another wild-derived outbred Mus musculus castaneus in which 10.3% of the analyzed SNPs showed heterogeneity among the colony. All mice examined were completely resistant to the two-stage skin carcinogenesis protocol using 7.12-dimethylbenz(a)anthracene (DMBA)/12-O-tetradecanoylphorbol-13-acetate (TPA), and this resistant phenotype was dominant when we crossed them with the highly susceptible strain FVB. By scanning F1 backcross progeny between M. m. castaneus and FVB, we found a highly significant linkage for tumor multiplicity on Chromosome 4, which was overlapped with the Skts-fp1 locus, found in the previous study using FVB and PWK cross [Fujiwara et al. 2007. BMC Genet 8: 39]. The linkage was observed in all pedigrees from the five F1 founders, while the linkage for papilloma size on Chromosome 4 was mapped only in pedigrees from founders 1 and 2. By scanning the whole Chromosome 4 of the five F1 founders, founders 1- and 2-specific haplotype block was found between D4Mit293 (20.6 Mbp) and D4Mit171 (22.4 Mbp). In this study we exploited the outbred nature of M. m. castaneus stock to identify a haplotype contributing to papilloma size on mouse Chromosome 4. These data illustrate the strength of using outbred mice in identification of the genetic component of a mouse complex trait such as the skin cancer-susceptibility phenotype.
Molecular Carcinogenesis 07/2010; 49(7):653-61. · 3.16 Impact Factor
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ABSTRACT: Proteasome activator 200 kDa (PA200) forms nuclear foci after exposure of cells to ionizing radiation and enhances proteasome activity in vitro. Within cells, it is unclear whether PA200 responds to radiation alone or in association with proteasomes. In the present study, we identified three forms of cellular PA200 (termed PA200i, ii and iii) at the mRNA and protein levels. Neither PA200ii nor PA200iii appears to associate with proteasomes. All detectable PA200i is associated with proteasomes, which indicates that PA200i and proteasomes function together within the cell. Consistent with this idea, we find that exposure of cells to radiation leads to an equivalent accumulation of both PA200i and core proteasomes on chromatin. This increase in PA200 and proteasomes on chromatin is not specific to the stage of cell cycle arrest since it occurs in cells that arrest in G(2)/M and cells that arrest in G(1)/S after exposure to radiation. These data provide evidence that PA200 and proteasomes function together within cells and respond to a specific radiation-induced damage independent of the stage of cell cycle arrest.
Radiation Research 07/2007; 167(6):663-74. · 2.68 Impact Factor
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Dominic J Smiraglia,
Ramakrishnan Kazhiyur-Mannar,
Christopher C Oakes,
Yue-Zhong Wu,
Ping Liang,
Tahmina Ansari,
Jian Su,
Laura J Rush,
Laura T Smith,
Li Yu, [......],
Jason S Hong,
Michael A Teitell,
Angela Szafranek,
Marta Camoriano,
Fei Song, Rosemary Elliott,
William Held,
Jacquetta M Trasler,
Christoph Plass,
Rephael Wenger
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ABSTRACT: Restriction landmark genomic scanning (RLGS) is one of the most successfully applied methods for the identification of aberrant CpG island hypermethylation in cancer, as well as the identification of tissue specific methylation of CpG islands. However, a limitation to the utility of this method has been the ability to assign specific genomic sequences to RLGS spots, a process commonly referred to as "RLGS spot cloning."
We report the development of a virtual RLGS method (vRLGS) that allows for RLGS spot identification in any sequenced genome and with any enzyme combination. We report significant improvements in predicting DNA fragment migration patterns by incorporating sequence information into the migration models, and demonstrate a median Euclidian distance between actual and predicted spot migration of 0.18 centimeters for the most complex human RLGS pattern. We report the confirmed identification of 795 human and 530 mouse RLGS spots for the most commonly used enzyme combinations. We also developed a method to filter the virtual spots to reduce the number of extra spots seen on a virtual profile for both the mouse and human genomes. We demonstrate use of this filter to simplify spot cloning and to assist in the identification of spots exhibiting tissue-specific methylation.
The new vRLGS system reported here is highly robust for the identification of novel RLGS spots. The migration models developed are not specific to the genome being studied or the enzyme combination being used, making this tool broadly applicable. The identification of hundreds of mouse and human RLGS spot loci confirms the strong bias of RLGS studies to focus on CpG islands and provides a valuable resource to rapidly study their methylation.
BMC Genomics 02/2007; 8:446. · 4.07 Impact Factor
