↓ Skip to main content

PLOS

Three-Dimensional Genome Architecture Influences Partner Selection for Chromosomal Translocations in Human Disease

Overview of attention for article published in PLOS ONE, September 2012
Altmetric Badge

Mentioned by

news
1 news outlet
blogs
1 blog
patent
1 patent

Readers on

mendeley
174 Mendeley
citeulike
1 CiteULike
Title
Three-Dimensional Genome Architecture Influences Partner Selection for Chromosomal Translocations in Human Disease
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0044196
Pubmed ID
Authors

Jesse M. Engreitz, Vineeta Agarwala, Leonid A. Mirny

Abstract

Chromosomal translocations are frequent features of cancer genomes that contribute to disease progression. These rearrangements result from formation and illegitimate repair of DNA double-strand breaks (DSBs), a process that requires spatial colocalization of chromosomal breakpoints. The "contact first" hypothesis suggests that translocation partners colocalize in the nuclei of normal cells, prior to rearrangement. It is unclear, however, the extent to which spatial interactions based on three-dimensional genome architecture contribute to chromosomal rearrangements in human disease. Here we intersect Hi-C maps of three-dimensional chromosome conformation with collections of 1,533 chromosomal translocations from cancer and germline genomes. We show that many translocation-prone pairs of regions genome-wide, including the cancer translocation partners BCR-ABL and MYC-IGH, display elevated Hi-C contact frequencies in normal human cells. Considering tissue specificity, we find that translocation breakpoints reported in human hematologic malignancies have higher Hi-C contact frequencies in lymphoid cells than those reported in sarcomas and epithelial tumors. However, translocations from multiple tissue types show significant correlation with Hi-C contact frequencies, suggesting that both tissue-specific and universal features of chromatin structure contribute to chromosomal alterations. Our results demonstrate that three-dimensional genome architecture shapes the landscape of rearrangements directly observed in human disease and establish Hi-C as a key method for dissecting these effects.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
United States 3 2%
Germany 2 1%
Spain 2 1%
Denmark 1 <1%
France 1 <1%
Korea, Republic of 1 <1%
Russia 1 <1%
Unknown 159 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 29%
Researcher 31 18%
Student > Master 14 8%
Student > Bachelor 13 7%
Professor 11 6%
Other 33 19%
Unknown 21 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 45%
Biochemistry, Genetics and Molecular Biology 46 26%
Medicine and Dentistry 6 3%
Computer Science 6 3%
Environmental Science 3 2%
Other 7 4%
Unknown 27 16%