Evidence map›Paper›PMID 30003080›Full record

ArticleFrontiers in bioengineering and biotechnology2018

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

Aliaksei S Vasilevich, Frédéric Mourcin, Anouk Mentink, Frits Hulshof, Nick Beijer, Yiping Zhao, Marloes Levers, Bernke Papenburg, Shantanu Singh, Anne E Carpenter and 4 more

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. From Shape to Function: The Next Step in Bioprinting.Advanced materials (Deerfield Beach, Fla.) · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Aliaksei S VasilevichLaboratory for Cell Biology-Inspired Tissue Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, Netherlands.
Frédéric MourcinInstitut National de la Santé et de la Recherche Médicale, U917, Equipe Labelisée Ligue Contre le Cancer, Université Rennes, I'Etablissement Français du Sang Bretagne, Rennes, France.
Anouk MentinkLaboratory for Cell Biology-Inspired Tissue Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, Netherlands.
Frits HulshofDepartment of Biomaterials Science and Technology, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, Netherlands.
Nick BeijerLaboratory for Cell Biology-Inspired Tissue Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, Netherlands.
Yiping ZhaoMateriomics BV, Maastricht, Netherlands.
Marloes LeversMateriomics BV, Maastricht, Netherlands.
Bernke PapenburgMateriomics BV, Maastricht, Netherlands.
Shantanu SinghImaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, United States.
Anne E CarpenterImaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, United States.
Dimitrios StamatialisDepartment of Biomaterials Science and Technology, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, Netherlands.
Clemens van BlitterswijkDepartment of Complex Tissue Regeneration, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, Netherlands.
Karin TarteInstitut National de la Santé et de la Recherche Médicale, U917, Equipe Labelisée Ligue Contre le Cancer, Université Rennes, I'Etablissement Français du Sang Bretagne, Rennes, France.
Jan de BoerLaboratory for Cell Biology-Inspired Tissue Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, Netherlands.

Funding

Extracting rich information from biological imagesR35GM122547 · NIGMS · BROAD INSTITUTE, INC. · PI Anne E. Carpenter · 2017 to 2026
$6.2M
NIGMS NIH HHS R35 GM122547
6 · The paper itself

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.

Indexed as

fibroblastic reticular cellsICAM-1lymph nodemechanobiologysurface topography

Identifiers

PMID30003080
PMCPMC6031747

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.