Evidence map›Paper›PMID 37884541›Full record

ArticleNPJ systems biology and applications2023

The modular biochemical reaction network structure of cellular translation.

Bruno Cuevas-Zuviría, Evrim Fer, Zachary R Adam, Betül Kaçar

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Assessment of Stoichiometric Autocatalysis across Element Groups.Journal of the American Chemical Society · 2023
    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

4 authors.

Bruno Cuevas-ZuviríaDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.
Evrim FerDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0003-2731-1207
Zachary R AdamDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-3141-8480
Betül KaçarDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA. bkacar@wisc.edu.ORCID 0000-0002-0482-2357

Funding

John Templeton Foundation (JTF) 61926John Templeton Foundation (JTF) 62578
6 · The paper itself

Abstract

Translation is an essential attribute of all living cells. At the heart of cellular operation, it is a chemical information decoding process that begins with an input string of nucleotides and ends with the synthesis of a specific output string of peptides. The translation process is interconnected with gene expression, physiological regulation, transcription, and responses to signaling molecules, among other cellular functions. Foundational efforts have uncovered a wealth of knowledge about the mechanistic functions of the components of translation and their many interactions between them, but the broader biochemical connections between translation, metabolism and polymer biosynthesis that enable translation to occur have not been comprehensively mapped. Here we present a multilayer graph of biochemical reactions describing the translation, polymer biosynthesis and metabolism networks of an Escherichia coli cell. Intriguingly, the compounds that compose these three layers are distinctly aggregated into three modes regardless of their layer categorization. Multimodal mass distributions are well-known in ecosystems, but this is the first such distribution reported at the biochemical level. The degree distributions of the translation and metabolic networks are each likely to be heavy-tailed, but the polymer biosynthesis network is not. A multimodal mass-degree distribution indicates that the translation and metabolism networks are each distinct, adaptive biochemical modules, and that the gaps between the modes reflect evolved responses to the functional use of metabolite, polypeptide and polynucleotide compounds. The chemical reaction network of cellular translation opens new avenues for exploring complex adaptive phenomena such as percolation and phase changes in biochemical contexts.

Indexed as

EcosystemEscherichia coliMetabolic Networks and PathwaysPolymersSignal TransductionPolymers

Identifiers

PMID37884541
PMCPMC10603163

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LicenceCC BY
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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.