Cells use bioelectrical signals and gradients to make decisions regarding large-scale anatomy and organ morphogenesis, beyond just determining cell fate.
Manipulating bioelectrical states, through ion channels and gap junctions, can control organ development and regeneration. This was demonstrated in experiments with frog embryos and tadpoles.
Bioelectrical signals encode information about anatomical layouts and goals that cells work towards building.
Ion channels act as “transistors” that form feedback loops and memory circuits, allowing cells to make collective decisions.
Understanding and cracking the “bioelectric code” could reveal how cell networks make large-scale anatomical decisions.
Machine learning tools can help design interventions to manipulate bioelectrical signals for regenerative medicine and synthetic biology applications.
Depolarizing cells can cause them to revert to a more “unicellular” state and promote tumor formation and metastasis.
Forcing depolarized cells to remain electrically coupled can override oncogene expression and prevent tumor formation.
Computational models can identify ion channel cocktails that can manipulate bioelectrical signals to achieve desired organ morphogenesis.
Short-term manipulation of bioelectrical signals can trigger long-term organ growth and regeneration.
Cells use bioelectrical signals and gradients to make decisions regarding large-scale anatomy and organ morphogenesis, beyond just determining cell fate.
Manipulating bioelectrical states, through ion channels and gap junctions, can control organ development and regeneration. This was demonstrated in experiments with frog embryos and tadpoles.
Bioelectrical signals encode information about anatomical layouts and goals that cells work towards building.
Ion channels act as “transistors” that form feedback loops and memory circuits, allowing cells to make collective decisions.
Understanding and cracking the “bioelectric code” could reveal how cell networks make large-scale anatomical decisions.
Machine learning tools can help design interventions to manipulate bioelectrical signals for regenerative medicine and synthetic biology applications.
Depolarizing cells can cause them to revert to a more “unicellular” state and promote tumor formation and metastasis.
Forcing depolarized cells to remain electrically coupled can override oncogene expression and prevent tumor formation.
Computational models can identify ion channel cocktails that can manipulate bioelectrical signals to achieve desired organ morphogenesis.
Short-term manipulation of bioelectrical signals can trigger long-term organ growth and regeneration.
https://www.youtube.com/watch?v=WM8bQWfmeB8