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Substrate-Bound Protein Gradients to Study Haptotaxis

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, March 2015
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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2 X users
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1 Wikipedia page

Citations

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43 Dimensions

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104 Mendeley
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Title
Substrate-Bound Protein Gradients to Study Haptotaxis
Published in
Frontiers in Bioengineering and Biotechnology, March 2015
DOI 10.3389/fbioe.2015.00040
Pubmed ID
Authors

Sébastien G. Ricoult, Timothy E. Kennedy, David Juncker

Abstract

Cells navigate in response to inhomogeneous distributions of extracellular guidance cues. The cellular and molecular mechanisms underlying migration in response to gradients of chemical cues have been investigated for over a century. Following the introduction of micropipettes and more recently microfluidics for gradient generation, much attention and effort was devoted to study cellular chemotaxis, which is defined as guidance by gradients of chemical cues in solution. Haptotaxis, directional migration in response to gradients of substrate-bound cues, has received comparatively less attention; however, it is increasingly clear that in vivo many physiologically relevant guidance proteins - including many secreted cues - are bound to cellular surfaces or incorporated into extracellular matrix and likely function via a haptotactic mechanism. Here, we review the history of haptotaxis. We examine the importance of the reference surface, the surface in contact with the cell that is not covered by the cue, which forms a gradient opposing the gradient of the protein cue and must be considered in experimental designs and interpretation of results. We review and compare microfluidics, contact printing, light patterning, and 3D fabrication to pattern substrate-bound protein gradients in vitro. The range of methods to create substrate-bound gradients discussed herein makes possible systematic analyses of haptotactic mechanisms. Furthermore, understanding the fundamental mechanisms underlying cell motility will inform bioengineering approaches to program cell navigation and recover lost function.

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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Sweden 1 <1%
Canada 1 <1%
Unknown 101 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 38%
Student > Master 11 11%
Researcher 10 10%
Student > Bachelor 8 8%
Student > Postgraduate 6 6%
Other 17 16%
Unknown 13 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 23%
Agricultural and Biological Sciences 17 16%
Chemistry 12 12%
Engineering 11 11%
Materials Science 6 6%
Other 15 14%
Unknown 19 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 31 May 2017.
All research outputs
#6,282,098
of 22,796,179 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#936
of 6,524 outputs
Outputs of similar age
#74,113
of 263,906 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#7
of 49 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 6,524 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 85% 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 263,906 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% 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 done well, scoring higher than 85% of its contemporaries.