Abstract
Recurrent chromosomal translocations underlie both haematopoietic and solid tumours. Their origin has been ascribed to selection of random rearrangements, targeted DNA damage, or frequent nuclear interactions between translocation partners; however, the relative contribution of each of these elements has not been measured directly or on a large scale. Here we examine the role of nuclear architecture and frequency of DNA damage in the genesis of chromosomal translocations by measuring these parameters simultaneously in cultured mouse B lymphocytes. In the absence of recurrent DNA damage, translocations between Igh or Myc and all other genes are directly related to their contact frequency. Conversely, translocations associated with recurrent site-directed DNA damage are proportional to the rate of DNA break formation, as measured by replication protein A accumulation at the site of damage. Thus, non-targeted rearrangements reflect nuclear organization whereas DNA break formation governs the location and frequency of recurrent translocations, including those driving B-cell malignancies.
| Original language | English |
|---|---|
| Pages (from-to) | 69-74 |
| Number of pages | 6 |
| Journal | Nature |
| Volume | 484 |
| Issue number | 7392 |
| DOIs | |
| State | Published - 5 Apr 2012 |
| Externally published | Yes |
Bibliographical note
Funding Information:Acknowledgements We thank members of the Casellas and Nussenzweig laboratories for discussions; G. Gutierrez from NIAMS genomics facility for technical assistance. This work was supported in part by a grant from the Starr Foundation to M.C.N., by NIH grantnumberAI037526toM.C.N.and the IntramuralResearchProgram ofNIAMS and NCI, NIH. M.C.N. is an HHMI investigator. This study made use of the high-performance computational capabilities of the Biowulf Linux cluster at the NIH (http:// biowulf.nih.gov), and the resources of NCI’s High-Throughput Imaging Facility.
Funding
Acknowledgements We thank members of the Casellas and Nussenzweig laboratories for discussions; G. Gutierrez from NIAMS genomics facility for technical assistance. This work was supported in part by a grant from the Starr Foundation to M.C.N., by NIH grantnumberAI037526toM.C.N.and the IntramuralResearchProgram ofNIAMS and NCI, NIH. M.C.N. is an HHMI investigator. This study made use of the high-performance computational capabilities of the Biowulf Linux cluster at the NIH (http:// biowulf.nih.gov), and the resources of NCI’s High-Throughput Imaging Facility.
| Funders | Funder number |
|---|---|
| National Institutes of Health | |
| National Cancer Institute | ZIABC010959 |
| Starr Foundation |
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