Evidence map›Paper›PMID 27056566›Full record

ReviewJournal of the American Society for Mass Spectrometry2016

The Evolving Contribution of Mass Spectrometry to Integrative Structural Biology.

Marco Faini, Florian Stengel, Ruedi Aebersold

Abstract readReview
In one paragraph

Review in Journal of the American Society for Mass Spectrometry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Article
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  6. Article
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  11. Reporting on the future of integrative structural biology ORAU workshop.Frontiers in bioscience (Landmark edition) · 2020
    Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Integrative modelling of cellular assemblies.Current opinion in structural biology · 2017
    Review
  18. Catalysts (Basel, Switzerland) · 2017
    Article
  19. 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

3 authors.

Marco FainiDepartment of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8093, Zürich, Switzerland.
Florian StengelDepartment of Biology, University of Konstanz, 78457, Konstanz, Germany.
Ruedi AebersoldDepartment of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8093, Zürich, Switzerland. aebersold@imsb.biol.ethz.ch.

Funding

European Research Council 233226
6 · The paper itself

Abstract

Protein complexes are key catalysts and regulators for the majority of cellular processes. Unveiling their assembly and structure is essential to understanding their function and mechanism of action. Although conventional structural techniques such as X-ray crystallography and NMR have solved the structure of important protein complexes, they cannot consistently deal with dynamic and heterogeneous assemblies, limiting their applications to small scale experiments. A novel methodological paradigm, integrative structural biology, aims at overcoming such limitations by combining complementary data sources into a comprehensive structural model. Recent applications have shown that a range of mass spectrometry (MS) techniques are able to generate interaction and spatial restraints (cross-linking MS) information on native complexes or to study the stoichiometry and connectivity of entire assemblies (native MS) rapidly, reliably, and from small amounts of substrate. Although these techniques by themselves do not solve structures, they do provide invaluable structural information and are thus ideally suited to contribute to integrative modeling efforts. The group of Brian Chait has made seminal contributions in the use of mass spectrometric techniques to study protein complexes. In this perspective, we honor the contributions of the Chait group and discuss concepts and milestones of integrative structural biology. We also review recent examples of integration of structural MS techniques with an emphasis on cross-linking MS. We then speculate on future MS applications that would unravel the dynamic nature of protein complexes upon diverse cellular states. Graphical Abstract ᅟ.

Indexed as

Mass SpectrometryModels, MolecularMagnetic Resonance SpectroscopyProteinsProteinsAffinity purification MSCross-linking mass spectrometryCX-MSHybrid modelingIntegrative structural biologyNative MSProtein complexesStructural mass spectrometryXL-MS

Identifiers

PMID27056566
PMCPMC4867889

What OpenQuestion holds

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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.