Integrated computational and experimental pipeline for quantifying local cell–matrix interactions
Abstract Cellular interactions with the extracellular matrix (ECM) play a key role in modulating biological processes. While studies have identified key molecular factors of these interactions, the mechanical regulation associated with these interactions is not well characterized. To address this, w...
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| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/2a1a073e5be449128718a57ccb25c785 |
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| Sumario: | Abstract Cellular interactions with the extracellular matrix (ECM) play a key role in modulating biological processes. While studies have identified key molecular factors of these interactions, the mechanical regulation associated with these interactions is not well characterized. To address this, we present an image analysis platform to analyze time-dependent dynamics observed in lung fibroblasts embedded in a 3D collagen matrix. Combining drug studies with quantitative analysis of cell–matrix interactions, our results are able to provide cellular level quantitative insights for mechanical and biophysical phenomena relevant to cell-ECM interactions. This system overall represents an initial pipeline for understanding cell mechanics in a 3D collagen gel and their implications in a physiologically relevant context. |
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