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An Experimentally Determined State Diagram for Human CD4+ T Lymphocyte CXCR4-Stimulated Adhesion Under Shear Flow

Overview of attention for article published in Cellular and Molecular Bioengineering, March 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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Title
An Experimentally Determined State Diagram for Human CD4+ T Lymphocyte CXCR4-Stimulated Adhesion Under Shear Flow
Published in
Cellular and Molecular Bioengineering, March 2018
DOI 10.1007/s12195-018-0519-x
Pubmed ID
Authors

Nicholas R. Anderson, Dooyoung Lee, Daniel A. Hammer

Abstract

The leukocyte adhesion cascade is important for the maintenance of homeostasis and the ability of immune cells to access sites of infection and inflammation. Despite much work identifying the molecular components of the cascade, and numerous simulations to predict the relationship between molecule density, identity, and adhesion, these relationships have not been measured experimentally. Using surfaces functionalized with recombinant ICAM-1 and/or E-selectin along with immobilized SDF-1α, we used a flow chamber to measure rates of tethering, rolling and arrest of primary naïve human CD4+ T lymphocytes on different surface densities of ligand. Cells required a minimum level of ligand density to progress beyond tethering. E-selectin and ICAM-1 were found to have a synergistic relationship in promoting cell arrest. Surfaces with both ligands had the highest levels of arrest, while surfaces containing only E-selectin hindered the cell's ability to progress beyond rolling. In contrast, surfaces of ICAM-1 allowed only tethering or arrest. Cells maintained constant rolling velocity and time to stop over large variations in surface density and composition. In addition, surface densities of only O(101) sites/μm2 allowed for rolling while surface densities of O(102) sites/μm2 promoted arrest, approximately equal to previously determined simulated values. We have systematically and experimentally mapped out the state diagram of T-cell adhesion under flow, directly demonstrating the quantitative requirements for each dynamic state of adhesion, and showing how multiple adhesion molecules can act in synergy to secure arrest.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 15%
Student > Ph. D. Student 2 15%
Lecturer 1 8%
Researcher 1 8%
Professor > Associate Professor 1 8%
Other 1 8%
Unknown 5 38%
Readers by discipline Count As %
Chemical Engineering 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Nursing and Health Professions 1 8%
Agricultural and Biological Sciences 1 8%
Other 4 31%
Unknown 4 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 02 October 2018.
All research outputs
#4,684,729
of 25,153,613 outputs
Outputs from Cellular and Molecular Bioengineering
#66
of 502 outputs
Outputs of similar age
#85,306
of 339,620 outputs
Outputs of similar age from Cellular and Molecular Bioengineering
#1
of 5 outputs
Altmetric has tracked 25,153,613 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 502 research outputs from this source. They receive a mean Attention Score of 3.7. 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 339,620 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 74% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them