Molecular bioelectricity: how endogenous voltage potentials control cell behavior and instruct pattern regulation in vivo

被引:270
作者
Levin, Michael [1 ]
机构
[1] Tufts Univ, Dept Biol, Ctr Regenerat & Dev Biol, Medford, MA 02155 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
LEFT-RIGHT AXIS; HUMAN MYOBLAST DIFFERENTIATION; BECKWITH-WIEDEMANN-SYNDROME; POTASSIUM CHANNEL MUTATION; SPINAL-CORD HEMISECTION; TARGETING ION CHANNELS; GAP-JUNCTION CHANNELS; LEFT-RIGHT ASYMMETRY; NEURAL STEM-CELLS; K+ CHANNEL;
D O I
10.1091/mbc.E13-12-0708
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
In addition to biochemical gradients and transcriptional networks, cell behavior is regulated by endogenous bioelectrical cues originating in the activity of ion channels and pumps, operating in a wide variety of cell types. Instructive signals mediated by changes in resting potential control proliferation, differentiation, cell shape, and apoptosis of stem, progenitor, and somatic cells. Of importance, however, cells are regulated not only by their own V-mem but also by the V-mem of their neighbors, forming networks via electrical synapses known as gap junctions. Spatiotemporal changes in V-mem distribution among nonneural somatic tissues regulate pattern formation and serve as signals that trigger limb regeneration, induce eye formation, set polarity of whole-body anatomical axes, and orchestrate craniofacial patterning. New tools for tracking and functionally altering V-mem gradients in vivo have identified novel roles for bioelectrical signaling and revealed the molecular pathways by which V-mem changes are transduced into cascades of downstream gene expression. Because channels and gap junctions are gated posttranslationally, bioelectrical networks have their own characteristic dynamics that do not reduce to molecular profiling of channel expression (although they couple functionally to transcriptional networks). The recent data provide an exciting opportunity to crack the bioelectric code, and learn to program cellular activity at the level of organs, not only cell types. The understanding of how patterning information is encoded in bioelectrical networks, which may require concepts from computational neuroscience, will have transformative implications for embryogenesis, regeneration, cancer, and synthetic bioengineering.
引用
收藏
页码:3835 / 3850
页数:16
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