Evidence map›Paper›PMID 26975353›Full record

ArticleGenome biology2016

Spatiotemporal variation of mammalian protein complex stoichiometries.

Alessandro Ori, Murat Iskar, Katarzyna Buczak, Panagiotis Kastritis, Luca Parca, Amparo Andrés-Pons, Stephan Singer, Peer Bork, Martin Beck

Abstract read
In one paragraph

Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

62 citing papers in PubMed.

  1. Review
  2. Article
  3. Gene Dosage Sensitivity and Human Genetic Diseases.Journal of inherited metabolic disease · 2025
    Review
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2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Alessandro OriEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.
Murat IskarEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.
Katarzyna BuczakEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.
Panagiotis KastritisEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.
Luca ParcaEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.
Amparo Andrés-PonsEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.
Stephan SingerEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.
Peer BorkEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany. bork@embl.de.
Martin BeckEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany. martin.beck@embl.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent large-scale studies revealed cell-type specific proteomes. However, protein complexes, the basic functional modules of a cell, have been so far mostly considered as static entities with well-defined structures. The co-expression of their members has not been systematically charted at the protein level.

resultsWe used measurements of protein abundance across 11 cell types and five temporal states to analyze the co-expression and the compositional variations of 182 well-characterized protein complexes. We show that although the abundance of protein complex members is generally co-regulated, a considerable fraction of all investigated protein complexes is subject to stoichiometric changes. Compositional variation is most frequently seen in complexes involved in chromatin regulation and cellular transport, and often involves paralog switching as a mechanism for the regulation of complex stoichiometry. We demonstrate that compositional signatures of variable protein complexes have discriminative power beyond individual cell states and can distinguish cancer cells from healthy ones.

conclusionsOur work demonstrates that many protein complexes contain variable members that cause distinct stoichometries and functionally fine-tune complexes spatiotemporally. Only a fraction of these compositional variations is mediated by changes in transcription and other mechanisms regulating protein abundance contribute to determine protein complex stoichiometries. Our work highlights the superior power of proteome profiles to study protein complexes and their variants across cell states.

Indexed as

AnimalsCell LineageChromatinHumansMammalsMultiprotein ComplexesProtein Structure, TertiaryProteomeTranscription, GeneticChromatinMultiprotein ComplexesProteomeCancerEpigeneticParalogProtein complexProteomicsReprogrammingStoichiometryTransport

Identifiers

PMID26975353
PMCPMC4791834

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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.