Evidence map›Paper›PMID 29449567›Full record

ArticleNature communications2018

Systematic analysis of protein turnover in primary cells.

Toby Mathieson, Holger Franken, Jan Kosinski, Nils Kurzawa, Nico Zinn, Gavain Sweetman, Daniel Poeckel, Vikram S Ratnu, Maike Schramm, Isabelle Becher and 6 more

Abstract 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 215 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
215citing papers in PubMed, 1 pooled it
–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

215 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Shift of the insoluble content of the proteome in the aging mouse brain.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Pooled it
  2. Article
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  4. Article
  5. Review
  6. Article
  7. Article
  8. Mass spectrometry proteomics for studying mitostasis.Protein science : a publication of the Protein Society · 2026
    Review
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  12. Article
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  18. Review
  19. Review
  20. Article

155 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

16 authors.

Toby MathiesonCellzome GmbH, GlaxoSmithKline, Meyerhofstraße 1, 69117, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-6153-3113
Holger FrankenCellzome GmbH, GlaxoSmithKline, Meyerhofstraße 1, 69117, Heidelberg, Germany.
Jan KosinskiStructural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany.
Nils KurzawaGenome Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany.
Nico ZinnCellzome GmbH, GlaxoSmithKline, Meyerhofstraße 1, 69117, Heidelberg, Germany.
Gavain SweetmanCellzome GmbH, GlaxoSmithKline, Meyerhofstraße 1, 69117, Heidelberg, Germany.
Daniel PoeckelCellzome GmbH, GlaxoSmithKline, Meyerhofstraße 1, 69117, Heidelberg, Germany.
Vikram S RatnuGenome Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany.
Maike SchrammGenome Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany.
Isabelle BecherGenome Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany.
Michael SteidelCellzome GmbH, GlaxoSmithKline, Meyerhofstraße 1, 69117, Heidelberg, Germany.
Kyung-Min NohGenome Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany.
Giovanna BergaminiCellzome GmbH, GlaxoSmithKline, Meyerhofstraße 1, 69117, Heidelberg, Germany.
Martin BeckStructural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany. martin.beck@embl.de.ORCID http://orcid.org/0000-0002-7397-1321
Marcus BantscheffCellzome GmbH, GlaxoSmithKline, Meyerhofstraße 1, 69117, Heidelberg, Germany. marcus.x.bantscheff@gsk.com.ORCID http://orcid.org/0000-0002-8343-8977
Mikhail M SavitskiGenome Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany. mikhail.savitski@embl.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A better understanding of proteostasis in health and disease requires robust methods to determine protein half-lives. Here we improve the precision and accuracy of peptide ion intensity-based quantification, enabling more accurate protein turnover determination in non-dividing cells by dynamic SILAC-based proteomics. This approach allows exact determination of protein half-lives ranging from 10 to >1000 h. We identified 4000-6000 proteins in several non-dividing cell types, corresponding to 9699 unique protein identifications over the entire data set. We observed similar protein half-lives in B-cells, natural killer cells and monocytes, whereas hepatocytes and mouse embryonic neurons show substantial differences. Our data set extends and statistically validates the previous observation that subunits of protein complexes tend to have coherent turnover. Moreover, analysis of different proteasome and nuclear pore complex assemblies suggests that their turnover rate is architecture dependent. These results illustrate that our approach allows investigating protein turnover and its implications in various cell types.

Indexed as

AnimalsCellsCells, CulturedHumansMass SpectrometryMicePeptidesProteasome Endopeptidase ComplexProteinsProteomicsPeptidesProteasome Endopeptidase ComplexProteins

Identifiers

PMID29449567
PMCPMC5814408

What OpenQuestion holds

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LicenceCC BY
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.