Evidence map›Paper›PMID 33149111›Full record

ArticleNature communications2020

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

Vartika Mishra, Diane B Re, Virginia Le Verche, Mariano J Alvarez, Alessandro Vasciaveo, Arnaud Jacquier, Paschalis-Tomas Doulias, Todd M Greco, Monica Nizzardo, Dimitra Papadimitriou and 12 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Inhibition ofBrain communications · 2024
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Mature iPSC-derived astrocytes of an ALS/FTD patient carrying the TDP43Frontiers in cell and developmental biology · 2023
    Article
  18. CSF IL-8 Associated with Response to Gene Therapy in a Case Series of Spinal Muscular Atrophy.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Article
  19. Retromer dysfunction in amyotrophic lateral sclerosis.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 12 institutions in 6 countries.

Vartika MishraDepartments of Pathology and Cell Biology, Columbia University, New York, NY, 10032, USA.
Diane B ReCenter for Motor Neuron Biology and Diseases, Columbia University, New York, NY, 10032, USA.ORCID 0000-0002-6842-6759
Virginia Le VercheDepartments of Pathology and Cell Biology, Columbia University, New York, NY, 10032, USA.
Mariano J AlvarezDepartment of Systems Biology, Columbia University, New York, NY, 10032, USA.
Alessandro VasciaveoDepartment of Systems Biology, Columbia University, New York, NY, 10032, USA.
Arnaud JacquierDepartments of Pathology and Cell Biology, Columbia University, New York, NY, 10032, USA.
Paschalis-Tomas DouliasDepartment of Pediatrics, Children's Hospital of Philadelphia Research Institute and the University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID 0000-0001-7891-3131
Todd M GrecoDepartment of Pediatrics, Children's Hospital of Philadelphia Research Institute and the University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID 0000-0002-5845-713X
Monica NizzardoDepartments of Pathology and Cell Biology, Columbia University, New York, NY, 10032, USA.ORCID 0000-0001-5447-0882
Dimitra PapadimitriouDepartments of Pathology and Cell Biology, Columbia University, New York, NY, 10032, USA.
Tetsuya NagataDepartments of Pathology and Cell Biology, Columbia University, New York, NY, 10032, USA.
Paola RinchettiDepartments of Pathology and Cell Biology, Columbia University, New York, NY, 10032, USA.
Eduardo J Perez-TorresDepartments of Pathology and Cell Biology, Columbia University, New York, NY, 10032, USA.
Kristin A PolitiDepartments of Pathology and Cell Biology, Columbia University, New York, NY, 10032, USA.
Burcin IkizDepartments of Pathology and Cell Biology, Columbia University, New York, NY, 10032, USA.
Kevin ClareDepartments of Pathology and Cell Biology, Columbia University, New York, NY, 10032, USA.ORCID 0000-0003-0300-6080
Manuel E ThanProtein Crystallography Group, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstr. 11, 07745, Jena, Germany.
Stefania CortiDino Ferrari Center, Department of Pathophysiology and Transplantation, University of Milan, Neurology Unit, IRCCS Foundation Ca' Granda Ospedale Maggiore Policlinico, Milan, 20122, Italy.
Harry IschiropoulosDepartment of Pediatrics, Children's Hospital of Philadelphia Research Institute and the University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID 0000-0001-8284-5098
Francesco LottiDepartments of Pathology and Cell Biology, Columbia University, New York, NY, 10032, USA.ORCID 0000-0002-5104-9088
Andrea CalifanoCenter for Motor Neuron Biology and Diseases, Columbia University, New York, NY, 10032, USA. ac2248@cumc.columbia.edu.ORCID 0000-0003-4742-3679
Serge PrzedborskiDepartments of Pathology and Cell Biology, Columbia University, New York, NY, 10032, USA. sp30@columbia.edu.
Columbia University · USChildren's Hospital of Philadelphia · USColumbia University Irving Medical Center · USUniversity of Milan · ITCity Of Hope National Medical Center · USDarwinHealth (United States) · USHenry Dunant Hospital · GRLeibniz Institute on Aging - Fritz Lipmann Institute (FLI) · DENew York Medical College · USSpark Therapeutics (United States) · USTokyo Medical and Dental University · JPUniversité Claude Bernard Lyon 1 · FR

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
RESEARCH TRAININGP30DK026687 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI Anthony W Ferrante, DYMPNA GALLAGHER · 1986 to 2026
$33.0M
Predicting Cancer Cell Response to Endogenous and Exogenous Perturbations at the Single Cell LevelR35CA197745 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ANDREA CALIFANO · 2015 to 2026
$11.5M
Systematic pharmacological targeting of the core mechanisms responsible for maintaining cancer cell stateU54CA209997 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA, HONIG, BARRY H · 2016 to 2021
$10.9M
Protein prenylation inhibition for the treatment of tauopathiesR01NS107442 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PRZEDBORSKI, SERGE E · 2018 to 2022
$3.1M
Defining Immune Cell Heterogeneity in Human ALS and Mouse Model of the DiseaseR01NS117583 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PRZEDBORSKI, SERGE E · 2020 to 2024
$2.4M
High-performance compute cluster for biomedical computingS10OD012351 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2012 to 2012
$2.0M
Storage System for High Performance ComputingS10OD021764 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2016 to 2016
$600k
A transcriptomic atlas of immune cells in a model of synucleinopathyR21AG064596 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PRZEDBORSKI, SERGE E · 2019 to 2020
$446k
Focused ultrasound and synucleinopathyR21NS111176 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PRZEDBORSKI, SERGE E · 2019 to 2019
$446k
NCI NIH HHS R35 CA197745NCI NIH HHS U54 CA209997NIA NIH HHS R21 AG064596NIDDK NIH HHS P30 DK026687NIEHS NIH HHS P30 ES009089NIH HHS S10 OD012351NIH HHS S10 OD021764NINDS NIH HHS R01 NS107442NINDS NIH HHS R01 NS117583NINDS NIH HHS R21 NS111176
6 · The paper itself

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.

Indexed as

Amyloid beta-Protein PrecursorAmyotrophic Lateral SclerosisAnimalsAstrocytesCell CommunicationCell DeathCells, CulturedComputational BiologyDisease Models, AnimalGene Knockdown TechniquesGene SilencingHumansLigandsMatrix Metalloproteinase 9MiceMice, TransgenicAmyloid beta-Protein PrecursorAplp1 protein, mouseLigandsMatrix Metalloproteinase 9Mmp9 protein, mouseReceptors, Tumor Necrosis FactorRNA, Small InterferingSuperoxide Dismutase-1Tnfrsf21 protein, mouse

Identifiers

PMID33149111
PMCPMC7642391
OpenAlexW3097759960

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.