Extracellular matrix geometry and initial adhesive position determine stress fiber network organization during cell spreading
Three-dimensional matrices often contain highly structured adhesive tracks that require cells to turn corners and bridge non-adhesive areas. Here, we investigate these complex processes using micropatterned cell adhesive frames. Spreading kinetics on these matrices depend strongly on initial adhesiv...
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| Main Authors: | , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
7 May 2019
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| In: |
Cell reports
Year: 2019, Volume: 27, Issue: 6, Pages: 1897-1909,e1-e4 |
| ISSN: | 2211-1247 |
| DOI: | 10.1016/j.celrep.2019.04.035 |
| Online Access: | Verlag, Volltext: https://doi.org/10.1016/j.celrep.2019.04.035 Verlag, Volltext: http://www.sciencedirect.com/science/article/pii/S2211124719305005 
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| Author Notes: | Elena Kassianidou, Dimitri Probst, Julia Jäger, Stacey Lee, Anne-Lou Roguet, Ulrich Sebastian Schwarz, and Sanjay Kumar |
| Summary: | Three-dimensional matrices often contain highly structured adhesive tracks that require cells to turn corners and bridge non-adhesive areas. Here, we investigate these complex processes using micropatterned cell adhesive frames. Spreading kinetics on these matrices depend strongly on initial adhesive position and are predicted by a cellular Potts model (CPM), which reflects a balance between adhesion and intracellular tension. As cells spread, new stress fibers (SFs) assemble periodically and parallel to the leading edge, with spatial intervals of ∼2.5 μm, temporal intervals of ∼15 min, and characteristic lifetimes of ∼50 min. By incorporating these rules into the CPM, we can successfully predict SF network architecture. Moreover, we observe broadly similar behavior when we culture cells on arrays of discrete collagen fibers. Our findings show that ECM geometry and initial cell position strongly determine cell spreading and that cells encode a memory of their spreading history through SF network organization. |
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| Item Description: | Gesehen am 17.02.2020 |
| Physical Description: | Online Resource |
| ISSN: | 2211-1247 |
| DOI: | 10.1016/j.celrep.2019.04.035 |