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Designed Surface Topographies Control ICAM-1 Expression in Tonsil-Derived Human Stromal Cells

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, June 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 (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
Designed Surface Topographies Control ICAM-1 Expression in Tonsil-Derived Human Stromal Cells
Published in
Frontiers in Bioengineering and Biotechnology, June 2018
DOI 10.3389/fbioe.2018.00087
Pubmed ID
Authors

Aliaksei S. Vasilevich, Frédéric Mourcin, Anouk Mentink, Frits Hulshof, Nick Beijer, Yiping Zhao, Marloes Levers, Bernke Papenburg, Shantanu Singh, Anne E. Carpenter, Dimitrios Stamatialis, Clemens van Blitterswijk, Karin Tarte, Jan de Boer

Abstract

Fibroblastic reticular cells (FRCs), the T-cell zone stromal cell subtype in the lymph nodes, create a scaffold for adhesion and migration of immune cells, thus allowing them to communicate. Although known to be important for the initiation of immune responses, studies about FRCs and their interactions have been impeded because FRCs are limited in availability and lose their function upon culture expansion. To circumvent these limitations, stromal cell precursors can be mechanotranduced to form mature FRCs. Here, we used a library of designed surface topographies to trigger FRC differentiation from tonsil-derived stromal cells (TSCs). Undifferentiated TSCs were seeded on a TopoChip containing 2176 different topographies in culture medium without differentiation factors, then monitored cell morphology and the levels of ICAM-1, a marker of FRC differentiation. We identified 112 and 72 surfaces that upregulated and downregulated, respectively, ICAM-1 expression. By monitoring cell morphology, and expression of the FRC differentiation marker ICAM-1 via image analysis and machine learning, we discovered correlations between ICAM-1 expression, cell shape and design of surface topographies and confirmed our findings by using flow cytometry. Our findings confirmed that TSCs are mechano-responsive cells and identified particular topographies that can be used to improve FRC differentiation protocols.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 27%
Student > Doctoral Student 3 9%
Student > Master 3 9%
Student > Bachelor 2 6%
Lecturer 1 3%
Other 4 12%
Unknown 11 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 21%
Biochemistry, Genetics and Molecular Biology 6 18%
Engineering 4 12%
Immunology and Microbiology 2 6%
Medicine and Dentistry 1 3%
Other 2 6%
Unknown 11 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 27 November 2020.
All research outputs
#4,641,048
of 23,092,602 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#672
of 6,779 outputs
Outputs of similar age
#89,148
of 329,253 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#19
of 51 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,779 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 90% 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 329,253 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 72% of its contemporaries.
We're also able to compare this research output to 51 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 62% of its contemporaries.