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Strain Background Determines Lymphoma Incidence in Atm Knockout Mice

Overview of attention for article published in Neoplasia, February 2014
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Title
Strain Background Determines Lymphoma Incidence in Atm Knockout Mice
Published in
Neoplasia, February 2014
DOI 10.1593/neo.131980
Pubmed ID
Authors

Paula C. Genik, Helle Bielefeldt-Ohmann, Xianan Liu, Michael D. Story, Lianghao Ding, Jamie M. Bush, Christina M. Fallgren, Michael M. Weil

Abstract

About 10% to 30% of patients with ataxia-telangiectasia (A-T) develop leukemias or lymphomas. There is considerable interpatient variation in the age of onset and leukemia/lymphoma type. The incomplete penetrance and variable age of onset may be attributable to several factors. These include competing mortality from other A-T-associated pathologies, particularly neurodegeneration and interstitial lung disease, allele-specific effects of ataxia-telangiectasia mutated (ATM) gene mutations. There is also limited evidence from clinical observations and studies using Atm knockout mice that modifier genes may account for some variation in leukemia/lymphoma susceptibility. We have introgressed the Atm(tm1Awb) knockout allele (Atm(-)) onto several inbred murine strains and observed differences in thymic lymphoma incidence and latency between Atm(-/-) mice on the different strain backgrounds and between their F1 hybrids. The lymphomas that arose in these mice had a pattern of sequence gains and losses that were similar to those previously described by others. These results provide further evidence for the existence of modifier genes controlling lymphomagenesis in individuals carrying defective copies of Atm, at least in mice, the characterized Atm(-) congenic strain set provides a resource with which to identify these genes. In addition, we found that fewer than expected Atm(-/-) pups were weaned on two strain backgrounds and that there was no correlation between body weight of young Atm-/- mice and lymphoma incidence or latency.

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The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 35%
Researcher 3 13%
Student > Master 3 13%
Other 2 9%
Professor 1 4%
Other 1 4%
Unknown 5 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 26%
Agricultural and Biological Sciences 6 26%
Immunology and Microbiology 2 9%
Medicine and Dentistry 2 9%
Social Sciences 1 4%
Other 1 4%
Unknown 5 22%