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Systematic elucidation of neuron-astrocyte interaction in models of amyotrophic lateral sclerosis using multi-modal integrated bioinformatics workflow

Author

Listed:
  • Vartika Mishra

    (Columbia University
    Center for Motor Neuron Biology and Diseases, Columbia University
    Spark Therapeutics)

  • Diane B. Re

    (Center for Motor Neuron Biology and Diseases, Columbia University
    Columbia University)

  • Virginia Verche

    (Columbia University
    Center for Motor Neuron Biology and Diseases, Columbia University
    Center for Gene Therapy, City of Hope)

  • Mariano J. Alvarez

    (Columbia University
    DarwinHealth Inc.)

  • Alessandro Vasciaveo

    (Columbia University
    Herbert Irving Comprehensive Cancer Center, Columbia University)

  • Arnaud Jacquier

    (Columbia University
    Center for Motor Neuron Biology and Diseases, Columbia University
    Institut NeuroMyoGène, CNRS UMR 5310 - INSERM U1217 - Université de Lyon - Université Claude Bernard Lyon 1)

  • Paschalis-Tomas Doulias

    (Children’s Hospital of Philadelphia Research Institute and the University of Pennsylvania)

  • Todd M. Greco

    (Children’s Hospital of Philadelphia Research Institute and the University of Pennsylvania
    Princeton University)

  • Monica Nizzardo

    (Columbia University
    Center for Motor Neuron Biology and Diseases, Columbia University
    University of Milan, Neurology Unit, IRCCS Foundation Ca’ Granda Ospedale Maggiore Policlinico)

  • Dimitra Papadimitriou

    (Columbia University
    Center for Motor Neuron Biology and Diseases, Columbia University
    Henry Dunant Hospital, BRFAA)

  • Tetsuya Nagata

    (Columbia University
    Center for Motor Neuron Biology and Diseases, Columbia University
    Tokyo Medical and Dental University)

  • Paola Rinchetti

    (Columbia University
    Center for Motor Neuron Biology and Diseases, Columbia University
    University of Milan, Neurology Unit, IRCCS Foundation Ca’ Granda Ospedale Maggiore Policlinico)

  • Eduardo J. Perez-Torres

    (Columbia University
    Center for Motor Neuron Biology and Diseases, Columbia University)

  • Kristin A. Politi

    (Columbia University
    Center for Motor Neuron Biology and Diseases, Columbia University)

  • Burcin Ikiz

    (Columbia University
    Center for Motor Neuron Biology and Diseases, Columbia University)

  • Kevin Clare

    (Columbia University
    Center for Motor Neuron Biology and Diseases, Columbia University
    New York Medical College)

  • Manuel E. Than

    (Protein Crystallography Group, Leibniz Institute on Aging – Fritz Lipmann Institute (FLI))

  • Stefania Corti

    (University of Milan, Neurology Unit, IRCCS Foundation Ca’ Granda Ospedale Maggiore Policlinico)

  • Harry Ischiropoulos

    (Children’s Hospital of Philadelphia Research Institute and the University of Pennsylvania)

  • Francesco Lotti

    (Columbia University
    Center for Motor Neuron Biology and Diseases, Columbia University)

  • Andrea Califano

    (Center for Motor Neuron Biology and Diseases, Columbia University
    Columbia University
    Herbert Irving Comprehensive Cancer Center, Columbia University
    J.P. Sulzberger Columbia Genome Center, Columbia University)

  • Serge Przedborski

    (Columbia University
    Center for Motor Neuron Biology and Diseases, Columbia University
    Columbia University)

Abstract

Cell-to-cell communications are critical determinants of pathophysiological phenotypes, but methodologies for their systematic elucidation are lacking. Herein, we propose an approach for the Systematic Elucidation and Assessment of Regulatory Cell-to-cell Interaction Networks (SEARCHIN) to identify ligand-mediated interactions between distinct cellular compartments. To test this approach, we selected a model of amyotrophic lateral sclerosis (ALS), in which astrocytes expressing mutant superoxide dismutase-1 (mutSOD1) kill wild-type motor neurons (MNs) by an unknown mechanism. Our integrative analysis that combines proteomics and regulatory network analysis infers the interaction between astrocyte-released amyloid precursor protein (APP) and death receptor-6 (DR6) on MNs as the top predicted ligand-receptor pair. The inferred deleterious role of APP and DR6 is confirmed in vitro in models of ALS. Moreover, the DR6 knockdown in MNs of transgenic mutSOD1 mice attenuates the ALS-like phenotype. Our results support the usefulness of integrative, systems biology approach to gain insights into complex neurobiological disease processes as in ALS and posit that the proposed methodology is not restricted to this biological context and could be used in a variety of other non-cell-autonomous communication mechanisms.

Suggested Citation

  • Vartika Mishra & Diane B. Re & Virginia Verche & Mariano J. Alvarez & Alessandro Vasciaveo & Arnaud Jacquier & Paschalis-Tomas Doulias & Todd M. Greco & Monica Nizzardo & Dimitra Papadimitriou & Tetsu, 2020. "Systematic elucidation of neuron-astrocyte interaction in models of amyotrophic lateral sclerosis using multi-modal integrated bioinformatics workflow," Nature Communications, Nature, vol. 11(1), pages 1-20, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19177-y
    DOI: 10.1038/s41467-020-19177-y
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    Cited by:

    1. Daniel Dimitrov & Dénes Türei & Martin Garrido-Rodriguez & Paul L. Burmedi & James S. Nagai & Charlotte Boys & Ricardo O. Ramirez Flores & Hyojin Kim & Bence Szalai & Ivan G. Costa & Alberto Valdeoliv, 2022. "Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

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