Evidence map›Paper›PMID 32152544›Full record

ArticleNature chemical biology2020

Deep mutational scanning reveals the structural basis for α-synuclein activity.

Robert W Newberry, Jaime T Leong, Eric D Chow, Martin Kampmann, William F DeGrado

Abstract read
In one paragraph

Article in Nature chemical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
–field-weighted citation impact
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

67 citing papers in PubMed.

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  20. Residues 2 to 7 of α-synuclein regulate amyloid formation via lipid-dependent and lipid-independent pathways.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article

7 more citing papers are in PubMed but not listed here.

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

5 authors.

Robert W NewberryDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-2020-2641
Jaime T LeongInstitute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-8326-919X
Eric D ChowDepartment of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-8079-918X
Martin KampmannInstitute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, CA, USA. martin.kampmann@ucsf.edu.ORCID http://orcid.org/0000-0002-3819-7019
William F DeGradoDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA. bill.degrado@ucsf.edu.ORCID http://orcid.org/0000-0003-4745-263X

Funding

Translational InformaticsP30CA082103 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jennifer Leigh Clarke · 1999 to 2026
$209.7M
VIRAL DEGENERATIVE DEMENTING DISEASE IN AGING (SUPP)P01AG002132 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SALI, ANDREJ · 1985 to 2024
$51.7M
MOLECULAR AND CELLULAR BASIS OF CARDIOVASCULAR DISEASET32HL007731 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Brian L Black · 1992 to 2026
$12.4M
Deciphering the relationship between structure, dynamics and function in helical bundle proteinsR35GM122603 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WILLIAM DEGRADO · 2017 to 2026
$7.1M
Rewiring of the human protein homeostasis network in normal and disease contextsDP2GM119139 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KAMPMANN, MARTIN · 2015 to 2015
$2.3M
A Multiscale Model of Protein Mediated Changes in membrane MorphologyR01GM117593 · NIGMS · COLORADO STATE UNIVERSITY · PI ZHOU, YONGCHENG · 2015 to 2019
$1.8M
NCI NIH HHS P30 CA082103NHLBI NIH HHS T32 HL007731NIA NIH HHS P01 AG002132NIGMS NIH HHS DP2 GM119139NIGMS NIH HHS R01 GM117593NIGMS NIH HHS R35 GM122603
6 · The paper itself

Abstract

Defining the biologically active structures of proteins in their cellular environments remains challenging for proteins with multiple conformations and functions, where only a minor conformer might be associated with a given function. Here, we use deep mutational scanning to probe the structure and dynamics of α-synuclein, a protein known to adopt disordered, helical and amyloid conformations. We examined the effects of 2,600 single-residue substitutions on the ability of intracellularly expressed α-synuclein to slow the growth of yeast. Computational analysis of the data showed that the conformation responsible for this phenotype is a long, uninterrupted, amphiphilic helix with increasing dynamics toward the C terminus. Deep mutational scanning can therefore determine biologically active conformations in cellular environments, even for a highly dynamic multi-conformational protein.

Indexed as

Mutationalpha-SynucleinAmino Acid SequenceAmyloidGenomic LibraryModels, MolecularMutant ProteinsPhenotypeProtein BindingProtein ConformationStructure-Activity RelationshipYeastsalpha-SynucleinAmyloidMutant Proteins

Identifiers

PMID32152544
PMCPMC7339969

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.