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Molecular Logic of Neuronal Self-Recognition through Protocadherin Domain Interactions
Author(s) -
Rotem Rubinstein,
Chan Aye Thu,
K.M. Goodman,
Holly N. Wolcott,
Fabiana Bahna,
Seetha Mannepalli,
Göran Ahlsén,
Maxime Chevée,
Adnan Halim,
Henrik Clausen,
Tom Maniatis,
Lawrence Shapiro,
Barry Honig
Publication year - 2015
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2015.09.026
Subject(s) - biology , protocadherin , domain (mathematical analysis) , neuroscience , microbiology and biotechnology , computational biology , genetics , cadherin , cell , mathematical analysis , mathematics
Self-avoidance, a process preventing interactions of axons and dendrites from the same neuron during development, is mediated in vertebrates through the stochastic single-neuron expression of clustered protocadherin protein isoforms. Extracellular cadherin (EC) domains mediate isoform-specific homophilic binding between cells, conferring cell recognition through a poorly understood mechanism. Here, we report crystal structures for the EC1-EC3 domain regions from four protocadherin isoforms representing the α, β, and γ subfamilies. All are rod shaped and monomeric in solution. Biophysical measurements, cell aggregation assays, and computational docking reveal that trans binding between cells depends on the EC1-EC4 domains, which interact in an antiparallel orientation. We also show that the EC6 domains are required for the formation of cis-dimers. Overall, our results are consistent with a model in which protocadherin cis-dimers engage in a head-to-tail interaction between EC1-EC4 domains from apposed cell surfaces, possibly forming a zipper-like protein assembly, and thus providing a size-dependent self-recognition mechanism.

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