Evidence map›Paper›PMID 29950687›Full record

ArticleNature communications2018

Dissecting ribosomal particles throughout the kingdoms of life using advanced hybrid mass spectrometry methods.

Michiel van de Waterbeemd, Sem Tamara, Kyle L Fort, Eugen Damoc, Vojtech Franc, Philipp Bieri, Martin Itten, Alexander Makarov, Nenad Ban, Albert J R Heck

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

48 citing papers in PubMed, 83 citations in OpenAlex.

  1. Article
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  4. State-of-the-Art and Future Directions in Structural Proteomics.Molecular & cellular proteomics : MCP · 2025
    Review
  5. Article
  6. High-throughput approaches for the identification of ribosome heterogeneity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  7. To 200,000ACS central science · 2024
    Article
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  14. Simulation toolkits at the molecular scale for trans-scale thermal signaling.Computational and structural biotechnology journal · 2023
    Review
  15. Article
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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

10 authors at 3 institutions in 3 countries.

Michiel van de WaterbeemdBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, 3584CH, The Netherlands.
Sem TamaraBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, 3584CH, The Netherlands.
Kyle L FortBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, 3584CH, The Netherlands.
Eugen DamocThermo Fisher Scientific, 28199, Bremen, Germany.
Vojtech FrancBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, 3584CH, The Netherlands.
Philipp BieriDepartment of Biology, Institute of Molecular Biology and Biophysics, ETH Zurich, 8093, Zurich, Switzerland.
Martin IttenDepartment of Biology, Institute of Molecular Biology and Biophysics, ETH Zurich, 8093, Zurich, Switzerland.
Alexander MakarovBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, 3584CH, The Netherlands.
Nenad BanDepartment of Biology, Institute of Molecular Biology and Biophysics, ETH Zurich, 8093, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-9527-210X
Albert J R HeckBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, 3584CH, The Netherlands. a.j.r.heck@uu.nl.ORCID http://orcid.org/0000-0002-2405-4404
Utrecht University · NLETH Zurich · CHThermo Fisher Scientific (Germany) · DE

Funding

EC | Horizon 2020 (European Union Framework Programme for Research and Innovation) 686547Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) 184.032.201Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) SPI.2017.028Stichting voor Fundamenteel Onderzoek der Materie (Foundation for Fundamental Research on Matter) 12PR3303-2
6 · The paper itself

Abstract

Biomolecular mass spectrometry has matured strongly over the past decades and has now reached a stage where it can provide deep insights into the structure and composition of large cellular assemblies. Here, we describe a three-tiered hybrid mass spectrometry approach that enables the dissection of macromolecular complexes in order to complement structural studies. To demonstrate the capabilities of the approach, we investigate ribosomes, large ribonucleoprotein particles consisting of a multitude of protein and RNA subunits. We identify sites of sequence processing, protein post-translational modifications, and the assembly and stoichiometry of individual ribosomal proteins in four distinct ribosomal particles of bacterial, plant and human origin. Amongst others, we report extensive cysteine methylation in the zinc finger domain of the human S27 protein, the heptameric stoichiometry of the chloroplastic stalk complex, the heterogeneous composition of human 40S ribosomal subunits and their association to the CrPV, and HCV internal ribosome entry site RNAs.

Identifiers

PMID29950687
PMCPMC6021402
OpenAlexW2808857603

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.