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Cell adhesion manipulation through single cell assembly for characterization of initial cell-to-cell interaction

Overview of attention for article published in BioMedical Engineering OnLine, December 2015
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Citations

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22 Mendeley
Title
Cell adhesion manipulation through single cell assembly for characterization of initial cell-to-cell interaction
Published in
BioMedical Engineering OnLine, December 2015
DOI 10.1186/s12938-015-0109-2
Pubmed ID
Authors

Xue Gou, Ran Wang, Stephen S. Y. Lam, Jundi Hou, Anskar Y. H. Leung, Dong Sun

Abstract

Cell-to-cell interactions are complex processes that involve physical interactions, chemical binding, and biological signaling pathways. Identification of the functions of special signaling pathway in cell-to-cell interaction from the very first contact will help characterize the mechanism underlying the interaction and advance new drug discovery. This paper reported a case study of characterizing initial interaction between leukemia cancer cells and bone marrow stromal cells, through the use of an optical tweezers-based cell manipulation tool. Optical traps were used to assemble leukemia cells at different positions of the stromal cell layer and enable their interactions by applying a small trapping force to maintain the cell contact for a few minutes. Specific drug was used to inhibit the binding of molecules during receptor-ligand-mediated adhesion. Our results showed that the amount of adhesion molecule could affect cell adhesion during the first few minutes contact. We also found that leukemia cancer cells could migrate on the stromal cell layer, which was dependent on the adhesion state and activation triggered by specific chemokine. The reported approaches provided a new opportunity to investigate cell-to-cell interaction through single cell adhesion manipulation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 23%
Student > Ph. D. Student 4 18%
Researcher 4 18%
Student > Master 2 9%
Student > Doctoral Student 1 5%
Other 2 9%
Unknown 4 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 27%
Engineering 4 18%
Chemistry 2 9%
Physics and Astronomy 2 9%
Materials Science 2 9%
Other 2 9%
Unknown 4 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 January 2016.
All research outputs
#20,299,108
of 22,836,570 outputs
Outputs from BioMedical Engineering OnLine
#692
of 823 outputs
Outputs of similar age
#326,298
of 388,828 outputs
Outputs of similar age from BioMedical Engineering OnLine
#33
of 38 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 823 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 1st percentile – i.e., 1% 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 388,828 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.