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Clustered Mutations in Yeast and in Human Cancers Can Arise from Damaged Long Single-Strand DNA Regions

Overview of attention for article published in Molecular Cell, May 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
5 X users
patent
7 patents
f1000
1 research highlight platform

Readers on

mendeley
359 Mendeley
citeulike
6 CiteULike
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Article details
Title
Clustered Mutations in Yeast and in Human Cancers Can Arise from Damaged Long Single-Strand DNA Regions
Published in
Molecular Cell, May 2012
DOI 10.1016/j.molcel.2012.03.030
Pubmed ID
Authors
Abstract

Mutations are typically perceived as random, independent events. We describe here nonrandom clustered mutations in yeast and in human cancers. Genome sequencing of yeast grown under chronic alkylation damage identified mutation clusters that extend up to 200 kb. A predominance of "strand-coordinated" changes of either cytosines or guanines in the same strand, mutation patterns, and genetic controls indicated that simultaneous mutations were generated by base alkylation in abnormally long single-strand DNA (ssDNA) formed at double-strand breaks (DSBs) and replication forks. Significantly, we found mutation clusters with analogous features in sequenced human cancers. Strand-coordinated clusters of mutated cytosines or guanines often resided near chromosome rearrangement breakpoints and were highly enriched with a motif targeted by APOBEC family cytosine-deaminases, which strongly prefer ssDNA. These data indicate that hypermutation via multiple simultaneous changes in randomly formed ssDNA is a general phenomenon that may be an important mechanism producing rapid genetic variation.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 359 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 6 2%
Spain 3 <1%
Norway 2 <1%
Netherlands 2 <1%
United Kingdom 2 <1%
Germany 2 <1%
Poland 1 <1%
France 1 <1%
Canada 1 <1%
Other 1 <1%
Unknown 338 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 98 27%
Researcher 86 24%
Student > Bachelor 28 8%
Student > Master 20 6%
Professor 19 5%
Other 47 13%
Unknown 61 17%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 145 40%
Biochemistry, Genetics and Molecular Biology 101 28%
Medicine and Dentistry 26 7%
Immunology and Microbiology 6 2%
Chemistry 5 1%
Other 11 3%
Unknown 65 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 19 May 2023.
All research outputs
#1,318,927
of 33,825,399 outputs
Outputs from Molecular Cell
#1,141
of 8,674 outputs
Outputs of similar age
#6,176
of 210,917 outputs
Outputs of similar age from Molecular Cell
#1
of 97 outputs
Altmetric has tracked 33,825,399 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,674 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.5. This one has done well, scoring higher than 86% 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 210,917 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 97% of its contemporaries.
We're also able to compare this research output to 97 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 98% of its contemporaries.