Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen:
http://dx.doi.org/10.18419/opus-12786
Autor(en): | Clark, Andrew G. Maitra, Ananyo Jacques, Cécile Bergert, Martin Pérez-González, Carlos Simon, Anthony Lederer, Luc Diz-Muñoz, Alba Trepat, Xavier Voituriez, Raphaël Matic Vignjevic, Danijela |
Titel: | Self-generated gradients steer collective migration on viscoelastic collagen networks |
Erscheinungsdatum: | 2022 |
Dokumentart: | Zeitschriftenartikel |
Seiten: | 82, 34 |
Erschienen in: | Nature materials 21 (2022), 1200-1210 |
URI: | http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-128052 http://elib.uni-stuttgart.de/handle/11682/12805 http://dx.doi.org/10.18419/opus-12786 |
ISSN: | 1476-4660 1476-1122 |
Zusammenfassung: | Growing evidence suggests that the physical properties of the cellular microenvironment influence cell migration. However, it is not currently understood how active physical remodelling by cells affects migration dynamics. Here we report that cell clusters seeded on deformable collagen-I networks display persistent collective migration despite not showing any apparent intrinsic polarity. Clusters generate transient gradients in collagen density and alignment due to viscoelastic relaxation of the collagen networks. Combining theory and experiments, we show that crosslinking collagen networks or reducing cell cluster size results in reduced network deformation, shorter viscoelastic relaxation time and smaller gradients, leading to lower migration persistence. Traction force and Brillouin microscopy reveal asymmetries in force distributions and collagen stiffness during migration, providing evidence of mechanical cross-talk between cells and their substrate during migration. This physical model provides a mechanism for self-generated directional migration on viscoelastic substrates in the absence of internal biochemical polarity cues. |
Enthalten in den Sammlungen: | 04 Fakultät Energie-, Verfahrens- und Biotechnik |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
---|---|---|---|---|
Clark_et_al_2022_MainText.pdf | Main text | 22,07 MB | Adobe PDF | Öffnen/Anzeigen |
Clark_et_al_2022_SI.pdf | Supplementary information | 2,08 MB | Adobe PDF | Öffnen/Anzeigen |
Alle Ressourcen in diesem Repositorium sind urheberrechtlich geschützt.