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      Family-wide Structural and Biophysical Analysis of Binding Interactions among Non-clustered δ-Protocadherins

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          SUMMARY

          Non-clustered δ1- and δ2-protocadherins, close relatives of clustered protocadherins, function in cell adhesion and motility and play essential roles in neural patterning. To understand the molecular interactions underlying these functions, we used solution biophysics to characterize binding of δ1- and δ2-protocadherins, determined crystal structures of ectodomain complexes from each family, and assessed ectodomain assembly in reconstituted intermembrane junctions by cryoelectron tomography (cryo-ET). Homophilic trans (cell–cell) interactions were preferred for all δ-protocadherins, with additional weaker heterophilic interactions observed exclusively within each subfamily. As expected, δ1- and δ2-protocadherin trans dimers formed through antiparallel EC1–EC4 interfaces, like clustered protocadherins. However, no ectodomain-mediated cis (same-cell) interactions were detectable in solution; consistent with this, cryo-ET of reconstituted junctions revealed dense assemblies lacking the characteristic order observed for clustered protocadherins. Our results define non-clustered protocadherin binding properties and their structural basis, providing a foundation for interpreting their functional roles in neural patterning.

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          In Brief

          Non-clustered δ-protocadherins are adhesion molecules linked to a number of neurological disorders. Harrison et al. apply biophysical and structural methods across the family to show preferential self-binding through a canonical interface and disordered assemblies of adhesive dimers between membranes that diverge from ordered assemblies of close relatives clustered protocadherins.

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          Most cited references52

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          Optimal description of a protein structure in terms of multiple groups undergoing TLS motion.

          A single protein crystal structure contains information about dynamic properties of the protein as well as providing a static view of one three-dimensional conformation. This additional information is to be found in the distribution of observed electron density about the mean position of each atom. It is general practice to account for this by refining a separate atomic displacement parameter (ADP) for each atomic center. However, these same displacements are often described well by simpler models based on TLS (translation/libration/screw) rigid-body motion of large groups of atoms, for example interdomain hinge motion. A procedure, TLSMD, has been developed that analyzes the distribution of ADPs in a previously refined protein crystal structure in order to generate optimal multi-group TLS descriptions of the constituent protein chains. TLSMD is applicable to crystal structures at any resolution. The models generated by TLSMD analysis can significantly improve the standard crystallographic residuals R and R(free) and can reveal intrinsic dynamic properties of the protein.
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            Adherens junction: molecular architecture and regulation.

            The adherens junction (AJ) is an element of the cell-cell junction in which cadherin receptors bridge the neighboring plasma membranes via their homophilic interactions. Cadherins associate with cytoplasmic proteins, called catenins, which in turn bind to cytoskeletal components, such as actin filaments and microtubules. These molecular complexes further interact with other proteins, including signaling molecules, rendering the AJs into highly dynamic and regulatable structures. The AJs of such nature contribute to the physical linking of cells, as well as to the regulation of cell-cell contacts, which is essential for morphogenesis and remodeling of tissues and organs. Thus, elucidating the molecular architecture of the AJs and their regulatory mechanisms are crucial for understanding how the multicellular system is organized.
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              PROTOCADHERINS MEDIATE DENDRITIC SELF-AVOIDANCE IN THE MAMMALIAN NERVOUS SYSTEM

              Dendritic arbors of many neurons are patterned by a process called self-avoidance, in which branches arising from a single neuron repel each other 1-7 . By minimizing gaps and overlaps within the arbor, self-avoidance facilitates complete coverage of a neuron’s territory by its neurites 1-3 . Remarkably, some neurons that display self-avoidance interact freely with other neurons of the same subtype, implying that they discriminate self from non-self. Here, we demonstrate roles for the clustered protocadherins (Pcdhs) in dendritic self-avoidance and self/non-self discrimination. The Pcdh locus encodes ~60 related cadherin-like transmembrane proteins, at least some of which exhibit isoform-specific homophilic adhesion in heterologous cells and are expressed stochastically and combinatorially in single neurons 7-11 . Deletion of all 22 Pcdhs in the mouse gamma subcluster (Pcdhgs) disrupts self-avoidance of dendrites in retinal starburst amacrine cells (SACs) and cerebellar Purkinje cells. Further genetic analysis of SACs showed that Pcdhgs act cell-autonomously during development, and that replacement of the 22 Pcdhgs with a single isoform restores self-avoidance. Moreover, expression of the same single isoform in all SACs decreases interactions among dendrites of neighboring SACs (heteroneuronal interactions). These results suggest that homophilic Pcdhg interactions between sibling neurites (isoneuronal interactions) generate a repulsive signal that leads to self-avoidance. In this model, heteroneuronal interactions are normally permitted because dendrites seldom encounter a matched set of Pcdhgs unless they emanate from the same soma. In many respects, our results mirror those reported for Dscam1 in Drosophila: this complex gene encodes thousands of recognition molecules that exhibit stochastic expression and isoform-specific interactions, and mediate both self-avoidance and self/non-self discrimination 4-7,12-15 . Thus, although insect Dscams and vertebrate Pcdhs share no sequence homology, they appear to underlie similar strategies for endowing neurons with distinct molecular identities and patterning their arbors.
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                Author and article information

                Journal
                101573691
                39703
                Cell Rep
                Cell Rep
                Cell reports
                2211-1247
                4 March 2020
                25 February 2020
                19 March 2020
                : 30
                : 8
                : 2655-2671.e7
                Affiliations
                [1 ]Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA
                [2 ]Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA
                [3 ]Department of Medicine, Division of Nephrology, Columbia University, New York, NY 10032, USA
                [4 ]Department of Systems Biology, Columbia University, New York, NY 10032, USA
                [5 ]National Resource for Automated Molecular Microscopy, Simons Electron Microscopy Center, New York Structural Biology Center, New York, NY 10027, USA
                [6 ]These authors contributed equally
                [7 ]Lead Contact
                Author notes

                AUTHOR CONTRIBUTIONS

                O.J.H., J.B., and L.S. designed experiments. O.J.H. and J.B. cloned, expressed, and purified proteins and performed crystallography experiments. P.S.K. performed SPR experiments. G.A. performed AUC experiments. J.B. and A.J.N. performed liposome assays and cryo-ET. A.J.N. collected tilt-series. J.B. processed the tomograms. C.S.P. and B.C. supervised the cryo-ET. H.B. performed and R.V.S. supervised cell aggregation assays. B.H. and L.S. supervised the project. O.J.H., J.B., and L.S. wrote the manuscript. O.J.H., J.B., A.J.N., C.S.P., B.C., B.H., and L.S. edited the manuscript.

                [* ]Correspondence: bh6@ 123456columbia.edu (B.H.), lss8@ 123456columbia.edu (L.S.)
                Article
                NIHMS1566858
                10.1016/j.celrep.2020.02.003
                7082078
                32101743
                1b57c477-b7db-4e56-a5a2-c5bccd5b33a4

                This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/).

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                Cell biology
                Cell biology

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