Excitable networks controlling cell migration during development and disease.

Cell migration is essential for shaping tissues during development and for wound healing in adults. Prior research has shown that cells use various protrusions to move, but the underlying regulatory mechanisms remain unclear. Established knowledge includes the roles of cytoskeletal structures like lamellipods and filopods. However, the precise control of protrusion formation and migration modes is not fully understood. Recent studies suggest that excitable signal transduction networks may regulate these processes. This gap motivated researchers to explore how these networks influence cell movement. No prior work had resolved the specific components of these excitable networks. This paper contributes by identifying key signaling molecules involved in protrusion control. The findings may help explain both normal development and disease-related migration changes.

The aim of this research is to investigate how excitable signal transduction networks regulate cell migration. The specific problem is understanding how cells switch between different protrusion types during movement. The motivation comes from the need to connect cytoskeletal dynamics with signaling pathways. By identifying network components, the study seeks to clarify migration control. The researchers propose that Ras, PI3K, TorC2, and phosphoinositides form an excitable network. This network may explain transitions between protrusion types. The study also aims to link these mechanisms to developmental and disease contexts. Understanding these processes could improve models of tissue formation and cancer progression.

The researchers used a combination of biochemical assays and live-cell imaging to study protrusion dynamics. They focused on Ras, PI3K, TorC2, and phosphoinositides as key network components. By perturbing specific points in the network, they observed changes in protrusion types. The study analyzed how these perturbations affect migration modes. They also examined the spatial and temporal propagation of signaling waves. Computational modeling was used to simulate network behavior. The approach included tracking protrusion transitions in real time. This allowed the team to map the relationship between signaling and movement patterns.

The strongest finding is that excitable networks control protrusion formation and migration modes. Ras, PI3K, TorC2, and phosphoinositides self-organize on the plasma membrane. These components propagate in waves that drive protrusion extension. Perturbing the network leads to abrupt shifts between protrusion types. For example, cells transitioned from pseudopods to filopods or lamellipods. The network includes both positive and negative feedback loops. Positive feedback accelerates protrusion formation, while negative feedback stabilizes it. These findings suggest that excitable networks are central to cell migration control.

The authors propose that excitable signal transduction networks regulate cell migration through self-organized signaling waves. These waves determine protrusion types and migration modes. The network includes Ras, PI3K, TorC2, and phosphoinositides. Perturbations at specific points cause abrupt changes in protrusion behavior. The network contains oncogenes and tumor suppressors, suggesting disease relevance. This framework helps explain morphological changes in development. The findings may also inform cancer research by linking migration to signaling networks. The study supports the idea that excitable networks are critical for both normal and pathological cell movement.