↓ Skip to main content

RecA filament sliding on DNA facilitates homology search

Overview of attention for article published in eLife, December 2012
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
2 blogs
twitter
6 X users
reddit
1 Redditor

Readers on

mendeley
130 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
RecA filament sliding on DNA facilitates homology search
Published in
eLife, December 2012
DOI 10.7554/elife.00067
Pubmed ID
Authors
Abstract

During homologous recombination, RecA forms a helical filament on a single stranded (ss) DNA that searches for a homologous double stranded (ds) DNA and catalyzes the exchange of complementary base pairs to form a new heteroduplex. Using single molecule fluorescence imaging tools with high spatiotemporal resolution we characterized the encounter complex between the RecA filament and dsDNA. We present evidence in support of the 'sliding model' wherein a RecA filament diffuses along a dsDNA track. We further show that homology can be detected during sliding. Sliding occurs with a diffusion coefficient of approximately 8000 bp(2)/s allowing the filament to sample several hundred base pairs before dissociation. Modeling suggests that sliding can accelerate homology search by as much as 200 fold. Homology recognition can occur for as few as 6 nt of complementary basepairs with the recognition efficiency increasing for higher complementarity. Our data represents the first example of a DNA bound multi-protein complex which can slide along another DNA to facilitate target search.DOI:http://dx.doi.org/10.7554/eLife.00067.001.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 2%
Vietnam 1 <1%
United States 1 <1%
India 1 <1%
Unknown 125 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 40 31%
Researcher 32 25%
Student > Master 10 8%
Student > Bachelor 9 7%
Other 7 5%
Other 18 14%
Unknown 14 11%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 45 35%
Biochemistry, Genetics and Molecular Biology 39 30%
Physics and Astronomy 16 12%
Chemistry 6 5%
Engineering 2 2%
Other 4 3%
Unknown 18 14%
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 26 July 2023.
All research outputs
#2,814,961
of 32,916,726 outputs
Outputs from eLife
#6,484
of 18,839 outputs
Outputs of similar age
#23,149
of 335,334 outputs
Outputs of similar age from eLife
#13
of 49 outputs
Altmetric has tracked 32,916,726 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 18,839 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one has gotten more attention than average, scoring higher than 65% 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 335,334 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 93% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.