Evidence map›Paper›PMID 37507158›Full record

ReviewAdvances in microbial physiology2023

Modulators of a robust and efficient metabolism: Perspective and insights from the Rid superfamily of proteins.

Ronnie L Fulton, Diana M Downs

Abstract readReview
In one paragraph

Review in Advances in microbial physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Functional characterization of theApplied and environmental microbiology · 2024
    Article
  6. RidA proteins contribute to fitness ofMicrobial cell (Graz, Austria) · 2024
    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

2 authors.

Ronnie L FultonDepartment of Microbiology, University of Georgia, Athens, GA, United States.
Diana M DownsDepartment of Microbiology, University of Georgia, Athens, GA, United States. Electronic address: dmdowns@uga.edu.

Funding

T32 Predoctoral training grant in geneticsT32GM007103 · NIGMS · UNIVERSITY OF GEORGIA (UGA) · PI DYER, KELLY A · 1985 to 2021
$5.9M
Rid family members neutralize endogenous metabolic stressorsR01GM095837 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI DOWNS, DIANA M. · 2011 to 2023
$3.7M
NIGMS NIH HHS R01 GM095837NIGMS NIH HHS T32 GM007103
6 · The paper itself

Abstract

Metabolism is an integrated network of biochemical pathways that assemble to generate the robust, responsive physiologies of microorganisms. Despite decades of fundamental studies on metabolic processes and pathways, our understanding of the nuance and complexity of metabolism remains incomplete. The ability to predict and model metabolic network structure, and its influence on cellular fitness, is complicated by the persistence of genes of unknown function, even in the best-studied model organisms. This review describes the definition and continuing study of the Rid superfamily of proteins. These studies are presented with a perspective that illustrates how metabolic complexity can complicate the assignment of function to uncharacterized genes. The Rid superfamily of proteins has been divided into eight subfamilies, including the well-studied RidA subfamily. Aside from the RidA proteins, which are present in all domains of life and prevent metabolic stress, most members of the Rid superfamily have no demonstrated physiological role. Recent progress on functional assignment supports the hypothesis that, overall, proteins in the Rid superfamily modulate metabolic processes to ensure optimal organismal fitness.

Indexed as

Bacterial ProteinsScrapieAnimalsMetabolic Networks and PathwaysSheepBacterial Proteins2-AminoacrylateMetabolic networkRidYjgF/YER057c/UK114

Identifiers

PMID37507158
PMCPMC10642521

What OpenQuestion holds

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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.