Abstract

Stochastic cell-surface expression of α-, β-, and γ-clustered protocadherins (Pcdhs) provides vertebrate neurons with single-cell identities that underlie neuronal self-recognition. Here we report crystal structures of ectodomain fragments comprising cell-cell recognition regions of mouse γ-Pcdhs γA1, γA8, γB2, and γB7 revealing trans-homodimers, and of C-terminal ectodomain fragments from γ-Pcdhs γA4 and γB2, which depict cis-interacting regions in monomeric form. Together these structures span the entire Pcdhγ ectodomain. The trans-dimer structures reveal determinants of Pcdh-γ isoform-specific homophilic recognition. We identified and structurally mapped cis-dimerization mutations to the C-terminal ectodomain structures. Biophysical studies showed that Pcdh ectodomains from γB-subfamily isoforms formed cis dimers, whereas γA isoforms did not, but both γA and γB isoforms could interact in cis with α-Pcdhs. Together, these data show how interaction specificity is distributed over all domains of the γ-Pcdh trans interface, and suggest that subfamily- or isoform-specific cis-interactions may play a role in the Pcdh-mediated neuronal self-recognition code.

Data availability

The following data sets were generated
The following previously published data sets were used

Article and author information

Author details

  1. Kerry Marie Goodman

    Department of Biochemistry and Molecular Biophysics, Columbia University, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
  2. Rotem Rubinstein

    Department of Biochemistry and Molecular Biophysics, Columbia University, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Chan Aye Thu

    Department of Biochemistry and Molecular Biophysics, Columbia University, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Seetha Mannepalli

    Department of Biochemistry and Molecular Biophysics, Columbia University, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Fabiana Bahna

    Department of Biochemistry and Molecular Biophysics, Columbia University, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Göran Ahlsén

    Department of Systems Biology, Columbia University, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
  7. Chelsea Rittenhouse

    Department of Biochemistry and Molecular Biophysics, Columbia University, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
  8. Tom Maniatis

    Department of Biochemistry and Molecular Biophysics, Columbia University, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
  9. Barry Honig

    Center for Computational Biology and Bioinformatics, Department of Systems Biology, Columbia University, New York, United States
    For correspondence
    bh6@cumc.columbia.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2480-6696
  10. Lawrence Shapiro

    Department of Biochemistry and Molecular Biophysics, Columbia University, New York, United States
    For correspondence
    shapiro@convex.hhmi.columbia.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9943-8819

Funding

National Institutes of Health (R01GM107571)

  • Tom Maniatis
  • Lawrence Shapiro

Howard Hughes Medical Institute (R01GM062270)

  • Fabiana Bahna
  • Barry Honig

National Science Foundation (MCB-1412472)

  • Barry Honig

Howard Hughes Medical Institute

  • Fabiana Bahna
  • Göran Ahlsén
  • Barry Honig

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. William I Weis, Stanford University Medical Center, United States

Version history

  1. Received: August 23, 2016
  2. Accepted: October 6, 2016
  3. Accepted Manuscript published: October 26, 2016 (version 1)
  4. Version of Record published: November 11, 2016 (version 2)

Copyright

© 2016, Goodman et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 2,188
    views
  • 479
    downloads
  • 40
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Kerry Marie Goodman
  2. Rotem Rubinstein
  3. Chan Aye Thu
  4. Seetha Mannepalli
  5. Fabiana Bahna
  6. Göran Ahlsén
  7. Chelsea Rittenhouse
  8. Tom Maniatis
  9. Barry Honig
  10. Lawrence Shapiro
(2016)
γ-Protocadherin structural diversity and functional implications
eLife 5:e20930.
https://doi.org/10.7554/eLife.20930

Share this article

https://doi.org/10.7554/eLife.20930

Further reading

    1. Structural Biology and Molecular Biophysics
    Sebastian Jojoa-Cruz, Adrienne E Dubin ... Andrew B Ward
    Research Advance

    The dimeric two-pore OSCA/TMEM63 family has recently been identified as mechanically activated ion channels. Previously, based on the unique features of the structure of OSCA1.2, we postulated the potential involvement of several structural elements in sensing membrane tension (Jojoa-Cruz et al., 2018). Interestingly, while OSCA1, 2, and 3 clades are activated by membrane stretch in cell-attached patches (i.e. they are stretch-activated channels), they differ in their ability to transduce membrane deformation induced by a blunt probe (poking). Here, in an effort to understand the domains contributing to mechanical signal transduction, we used cryo-electron microscopy to solve the structure of Arabidopsis thaliana (At) OSCA3.1, which, unlike AtOSCA1.2, only produced stretch- but not poke-activated currents in our initial characterization (Murthy et al., 2018). Mutagenesis and electrophysiological assessment of conserved and divergent putative mechanosensitive features of OSCA1.2 reveal a selective disruption of the macroscopic currents elicited by poking without considerable effects on stretch-activated currents (SAC). Our results support the involvement of the amphipathic helix and lipid-interacting residues in the membrane fenestration in the response to poking. Our findings position these two structural elements as potential sources of functional diversity within the family.

    1. Biochemistry and Chemical Biology
    2. Structural Biology and Molecular Biophysics
    Tien M Phan, Young C Kim ... Jeetain Mittal
    Research Article

    The heterochromatin protein 1 (HP1) family is a crucial component of heterochromatin with diverse functions in gene regulation, cell cycle control, and cell differentiation. In humans, there are three paralogs, HP1α, HP1β, and HP1γ, which exhibit remarkable similarities in their domain architecture and sequence properties. Nevertheless, these paralogs display distinct behaviors in liquid-liquid phase separation (LLPS), a process linked to heterochromatin formation. Here, we employ a coarse-grained simulation framework to uncover the sequence features responsible for the observed differences in LLPS. We highlight the significance of the net charge and charge patterning along the sequence in governing paralog LLPS propensities. We also show that both highly conserved folded and less-conserved disordered domains contribute to the observed differences. Furthermore, we explore the potential co-localization of different HP1 paralogs in multicomponent assemblies and the impact of DNA on this process. Importantly, our study reveals that DNA can significantly reshape the stability of a minimal condensate formed by HP1 paralogs due to competitive interactions of HP1α with HP1β and HP1γ versus DNA. In conclusion, our work highlights the physicochemical nature of interactions that govern the distinct phase-separation behaviors of HP1 paralogs and provides a molecular framework for understanding their role in chromatin organization.