Evidence map›Paper›PMID 31605097›Full record

ArticleNature protocols2019

Integrating hydrogen-deuterium exchange mass spectrometry with molecular dynamics simulations to probe lipid-modulated conformational changes in membrane proteins.

Chloe Martens, Mrinal Shekhar, Andy M Lau, Emad Tajkhorshid, Argyris Politis

Open access · greenAbstract read
In one paragraph

Article in Nature protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.3field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 58 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Recent Advances in NMR Protein Structure Prediction with ROSETTA.International journal of molecular sciences · 2023
    Review
  10. Review
  11. Article
  12. Article
  13. Fundamentals of HDX-MS.Essays in biochemistry · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Protein Structure Prediction with Mass Spectrometry Data.Annual review of physical chemistry · 2022
    Review
  19. Article
  20. Review
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 at 3 institutions in 3 countries.

Chloe MartensDepartment of Chemistry, King's College London, London, UK.
Mrinal ShekharCenter for Biophysics and Quantitative Biology, Department of Biochemistry, NIH Center for Macromolecular Modeling and Bioinformatics, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.ORCID http://orcid.org/0000-0001-8089-8858
Andy M LauDepartment of Chemistry, King's College London, London, UK.
Emad TajkhorshidCenter for Biophysics and Quantitative Biology, Department of Biochemistry, NIH Center for Macromolecular Modeling and Bioinformatics, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA. emad@life.illinois.edu.ORCID http://orcid.org/0000-0001-8434-1010
Argyris PolitisDepartment of Chemistry, King's College London, London, UK. argyris.politis@kcl.ac.uk.ORCID http://orcid.org/0000-0002-1617-4238
King's College London · GBUniversity of Illinois Urbana-Champaign · USUniversité Libre de Bruxelles · BE

Funding

Synthetic Antigen Binder CoreU54GM087519 · NIGMS · UNIVERSITY OF CHICAGO · PI ZHOU, MING · 2010 to 2017
$31.9M
WHOLE CELL SIMULATIONP41GM104601 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI TAJKHORSHID, EMAD · 2012 to 2021
$19.0M
Resource for Macromolecular Modeling and VisualizationR24GM145965 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Emad Tajkhorshid · 2022 to 2026
$6.2M
Toolkit for High-Resolution Structure and Dynamics of Functional LipidsR01GM123455 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MORRISSEY, JAMES H., RIENSTRA, CHAD M · 2016 to 2020
$5.0M
Biotechnology and Biological Sciences Research Council BB/M009513/1Medical Research Council MC_PC_15031NIGMS NIH HHS P41 GM104601NIGMS NIH HHS R01 GM123455NIGMS NIH HHS R24 GM145965NIGMS NIH HHS U54 GM087519Wellcome TrustWellcome Trust 109854/Z/15/Z
6 · The paper itself

Abstract

Biological membranes define the boundaries of cells and are composed primarily of phospholipids and membrane proteins. It has become increasingly evident that direct interactions of membrane proteins with their surrounding lipids play key roles in regulating both protein conformations and function. However, the exact nature and structural consequences of these interactions remain difficult to track at the molecular level. Here, we present a protocol that specifically addresses this challenge. First, hydrogen-deuterium exchange mass spectrometry (HDX-MS) of membrane proteins incorporated into nanodiscs of controlled lipid composition is used to obtain information on the lipid species that are involved in modulating the conformational changes in the membrane protein. Then molecular dynamics (MD) simulations in lipid bilayers are used to pinpoint likely lipid-protein interactions, which can be tested experimentally using HDX-MS. By bringing together the MD predictions with the conformational readouts from HDX-MS, we have uncovered key lipid-protein interactions implicated in stabilizing important functional conformations. This protocol can be applied to virtually any integral membrane protein amenable to classic biophysical studies and for which a near-atomic-resolution structure or homology model is available. This protocol takes ~4 d to complete, excluding the time for data analysis and MD simulations, which depends on the size of the protein under investigation.

Indexed as

Cell MembraneDeuterium Exchange MeasurementLipid BilayersMass SpectrometryMembrane ProteinsMolecular Dynamics SimulationProtein ConformationLipid BilayersMembrane Proteins

Identifiers

PMID31605097
PMCPMC7058097
OpenAlexW2980283895

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.