↓ Skip to main content

Modeling and Measuring Signal Relay in Noisy Directed Migration of Cell Groups

Overview of attention for article published in PLoS Computational Biology, May 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
38 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.
Title
Modeling and Measuring Signal Relay in Noisy Directed Migration of Cell Groups
Published in
PLoS Computational Biology, May 2013
DOI 10.1371/journal.pcbi.1003041
Pubmed ID
Authors

Can Guven, Erin Rericha, Edward Ott, Wolfgang Losert

Abstract

We develop a coarse-grained stochastic model for the influence of signal relay on the collective behavior of migrating Dictyostelium discoideum cells. In the experiment, cells display a range of collective migration patterns, including uncorrelated motion, formation of partially localized streams, and clumping, depending on the type of cell and the strength of the external, linear concentration gradient of the signaling molecule cyclic adenosine monophosphate (cAMP). From our model, we find that the pattern of migration can be quantitatively described by the competition of two processes, the secretion rate of cAMP by the cells and the degradation rate of cAMP in the gradient chamber. Model simulations are compared to experiments for a wide range of strengths of an external linear-gradient signal. With degradation, the model secreting cells form streams and efficiently transverse the gradient, but without degradation, we find that model secreting cells form clumps without streaming. This indicates that the observed effective collective migration in streams requires not only signal relay but also degradation of the signal. In addition, our model allows us to detect and quantify precursors of correlated motion, even when cells do not exhibit obvious streaming.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 8%
Portugal 1 3%
Unknown 34 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 32%
Student > Master 6 16%
Student > Ph. D. Student 6 16%
Professor > Associate Professor 5 13%
Student > Doctoral Student 2 5%
Other 3 8%
Unknown 4 11%
Readers by discipline Count As %
Physics and Astronomy 15 39%
Agricultural and Biological Sciences 11 29%
Biochemistry, Genetics and Molecular Biology 3 8%
Environmental Science 1 3%
Computer Science 1 3%
Other 3 8%
Unknown 4 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 May 2013.
All research outputs
#16,722,190
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#7,219
of 8,960 outputs
Outputs of similar age
#124,855
of 204,142 outputs
Outputs of similar age from PLoS Computational Biology
#89
of 129 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 204,142 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.