Evidence map›Paper›PMID 35500024›Full record

ArticlePLoS computational biology2022

Protein degradation sets the fraction of active ribosomes at vanishing growth.

Ludovico Calabrese, Jacopo Grilli, Matteo Osella, Christopher P Kempes, Marco Cosentino Lagomarsino, Luca Ciandrini

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
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  5. Review
  6. How total mRNA influences cell growth.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  8. 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

6 authors.

Ludovico CalabreseIFOM Foundation, FIRC Institute for Molecular Oncology, Milan, Italy.ORCID 0000-0002-1305-4441
Jacopo GrilliQuantitative Life Sciences section, The Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy.ORCID 0000-0002-8235-5803
Matteo OsellaDipartimento di Fisica, Università di Torino and INFN, Turin, Italy.ORCID 0000-0002-4916-5434
Christopher P KempesThe Santa Fe Institute, Santa Fe, New Mexico, United States of America.ORCID 0000-0002-1622-9761
Marco Cosentino LagomarsinoIFOM Foundation, FIRC Institute for Molecular Oncology, Milan, Italy.ORCID 0000-0003-0235-0445
Luca CiandriniCBS (Centre de Biologie Structurale), Université de Montpellier, CNRS, INSERM, Montpellier, France.ORCID 0000-0001-5859-2764

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growing cells adopt common basic strategies to achieve optimal resource allocation under limited resource availability. Our current understanding of such "growth laws" neglects degradation, assuming that it occurs slowly compared to the cell cycle duration. Here we argue that this assumption cannot hold at slow growth, leading to important consequences. We propose a simple framework showing that at slow growth protein degradation is balanced by a fraction of "maintenance" ribosomes. Consequently, active ribosomes do not drop to zero at vanishing growth, but as growth rate diminishes, an increasing fraction of active ribosomes performs maintenance. Through a detailed analysis of compiled data, we show that the predictions of this model agree with data from E. coli and S. cerevisiae. Intriguingly, we also find that protein degradation increases at slow growth, which we interpret as a consequence of active waste management and/or recycling. Our results highlight protein turnover as an underrated factor for our understanding of growth laws across kingdoms.

Indexed as

Escherichia coliSaccharomyces cerevisiaeProtein BiosynthesisProteolysisRibosomes

Identifiers

PMID35500024
PMCPMC9098079

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.