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

Overview of attention for article published in PLOS ONE, September 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
patent
1 patent

Citations

dimensions_citation
111 Dimensions

Readers on

mendeley
174 Mendeley
citeulike
1 CiteULike
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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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 June 2022.
All research outputs
#1,926,599
of 22,757,090 outputs
Outputs from PLOS ONE
#24,746
of 194,183 outputs
Outputs of similar age
#13,270
of 172,225 outputs
Outputs of similar age from PLOS ONE
#442
of 4,427 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,183 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 172,225 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 4,427 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.