Evidence map›Paper›PMID 26849307›Full record

ArticleAnalytical chemistry2016

A Robust Workflow for Native Mass Spectrometric Analysis of Affinity-Isolated Endogenous Protein Assemblies.

Paul Dominic B Olinares, Amelia D Dunn, Júlio C Padovan, Javier Fernandez-Martinez, Michael P Rout, Brian T Chait

Abstract read
In one paragraph

Article in Analytical chemistry, 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. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Nanobody Repertoires for Exposing Vulnerabilities of SARS-CoV-2.bioRxiv : the preprint server for biology · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Long-range intramolecular allostery and regulation in the dynein-like AAA protein Mdn1.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Revealing Higher Order Protein Structure Using Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2016
    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

6 authors.

Paul Dominic B OlinaresLaboratory of Mass Spectrometry and Gaseous Ion Chemistry, The Rockefeller University , New York, New York 10065, United States.
Amelia D DunnLaboratory of Mass Spectrometry and Gaseous Ion Chemistry, The Rockefeller University , New York, New York 10065, United States.
Júlio C PadovanLaboratory of Mass Spectrometry and Gaseous Ion Chemistry, The Rockefeller University , New York, New York 10065, United States.
Javier Fernandez-MartinezLaboratory of Cellular and Structural Biology, The Rockefeller University , New York, New York 10065, United States.
Michael P RoutLaboratory of Cellular and Structural Biology, The Rockefeller University , New York, New York 10065, United States.
Brian T ChaitLaboratory of Mass Spectrometry and Gaseous Ion Chemistry, The Rockefeller University , New York, New York 10065, United States.

Funding

TR&D Project 4. The Imaging Stage: Multiscale Spatiotemporal Modeling of Macromolecular Systems in Cellular NeighborhoodsP41GM109824 · NIGMS · ROCKEFELLER UNIVERSITY · PI ROUT, MICHAEL P · 2014 to 2023
$18.8M
National Resource for Mass Spectrom of Biological MacromoleculesP41GM103314 · NIGMS · ROCKEFELLER UNIVERSITY · PI CHAIT, BRIAN T · 2012 to 2017
$9.9M
Structure-Function Mapping of the Nuclear Pore Complex-RenewalR01GM112108 · NIGMS · ROCKEFELLER UNIVERSITY · PI JOHN D. AITCHISON, MICHAEL P ROUT · 2015 to 2026
$9.1M
NIGMS NIH HHS P41 GM103314NIGMS NIH HHS P41 GM109824NIGMS NIH HHS R01 GM112108
6 · The paper itself

Abstract

The central players in most cellular events are assemblies of macromolecules. Structural and functional characterization of these assemblies requires knowledge of their subunit stoichiometry and intersubunit connectivity. One of the most direct means for acquiring such information is so-called "native mass spectrometry (MS)", wherein the masses of the intact assemblies and parts thereof are accurately determined. It is of particular interest to apply native MS to the study of endogenous protein assemblies-i.e., those wherein the component proteins are expressed at endogenous levels in their natural functional states, rather than the overexpressed (sometimes partial) constructs commonly employed in classical structural studies, whose assembly can introduce stoichiometry artifacts and other unwanted effects. To date, the application of native MS to the elucidation of endogenous protein complexes has been limited by the difficulty in obtaining pristine cell-derived assemblies at sufficiently high concentrations for effective analysis. Here, to address this challenge, we present a robust workflow that couples rapid and efficient affinity isolation of endogenous protein complexes with a sensitive native MS readout. The resulting workflow has the potential to provide a wealth of data on the stoichiometry and intersubunit connectivity of endogenous protein assemblies-information that is key to successful integrative structural elucidation of biological systems.

Indexed as

Chromatography, AffinityElectrophoresis, Polyacrylamide GelProteinsSpectrometry, Mass, Electrospray IonizationProteins

Identifiers

PMID26849307
PMCPMC4790104

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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.