bioRxivCell BiologyPreprint
Quantitative analysis of fibroblast migration reveals migratory states characterized by force generation, cell shape and motion
Elizabeth Mae DavisiD, Max A. HockenberryiD, Mitchell T. ButleriD, Harrison H. TruscottiD, Noah ShauliD, James E. BeariD, Timothy C. ElstoniD
Abstract
Cell migration depends on coordinating cell shape changes with force generation, yet how these processes are integrated remains unclear. Here, we combine live-cell imaging with traction force microscopy and computational analysis to quantify cell morphology, motility and force generation in migrating fibroblasts. We find that traction force magnitudes display a multimodal distribution, suggesting discrete migratory regimes. Using a Hidden Markov Model, we identify distinct force states that exhibit differences in shape and motion metrics, and show that individual cells transition between force states over time. To test the role of cytoskeletal organization in establishing the identified states, we analyzed cells lacking Arpc2, which disrupts branched actin assembly. Despite reduced forces and altered morphology, these cells also exhibit three migratory states. State transitions occur more frequently in cells lacking Arpc2 and unlike normal cells their protrusion geometry is force dependent. Together, our findings show that cell migration is organized into discrete mechanical states that couple morphology, motility and force generation. SUMMARY STATEMENTFibroblast motility involves distinct migratory states. These states exist independent of branched actin. However, state transition frequencies, traction force magnitudes and protrusion geometry are branched actin dependent.
- assay: imaging
- research focus: cell signaling & trafficking
- research focus: cell type annotation
- research focus: clustering
- approach: experimental assay
- approach: statistical model
- Citations
- 0
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