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Glycocalyx-mediated Cell Adhesion and Migration

Schmidt, S.; Weigelin, B.; te Riet, J.; te Boekhorst, V.; te Lindert, M.; Wijers-Rouw, M.; Lelli, B.; Rognoni, L.; Krause-Vortmeyer, M.; Messent, A.; Bracci, L.; Gottschalk, K. E.; Kissler, S.; Humphries, M.; Lefeber, D. J.; Fransen, J.; Friedl, P.

2020-06-13 cell biology Community evaluation
10.1101/2020.06.12.149096 bioRxiv
Show abstract

Cell migration is a force-dependent adaptive process mediated by integrin-dependent adhesion as well as other yet poorly defined interactions to the extracellular matrix. Using enzymatic multi-targeted digestion of sugar moieties on the surface of mesenchymal cells and leukocytes after interference with integrin function, we demonstrate that the surface glycocalyx represents an independent adhesion system. The glycocalyx mediates cell attachment to ECM ligand in the 100-500 pN force range and amoeboid migration in 3D environments in vitro and in vivo. Glycan-based adhesions consist of actin-rich membrane deformations and appositions associated with bleb-like and other protrusions forming complex-shaped sub-micron contact sites to ECM fibrils. These data implicate the glycocalyx in mediating generic stickiness to support nanoscale interactions (nanogrips) between the cell surface and ECM, mechano-coupling, and migration.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Nature Communications
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33.5%
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5
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4.7%
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3.9%
7
Science Advances
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Top 12%
3.1%
8
Proceedings of the National Academy of Sciences
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Top 18%
3.1%
9
Cell
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Top 5%
2.3%
10
Nature Structural & Molecular Biology
236 papers in training set
Top 2%
2.3%
11
Nature Biotechnology
○ 172 papers in training set
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1.9%
12
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1.7%
13
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1.4%
14
Cell Reports
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Top 22%
1.3%
15
Nature Physics
○ 45 papers in training set
Top 0.4%
1.1%
16
Advanced Science
○ 286 papers in training set
Top 7%
1.1%
17
Nature Methods
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Top 6%
1.0%
18
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1.0%
19
Cell Research
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Top 1%
1.0%
20
Current Biology
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Top 10%
0.9%
21
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Top 9%
0.8%
22
The EMBO Journal
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Top 8%
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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.