Evidence map›Paper›PMID 24957769›Full record

ArticleMetabolites2012

Metabolic adaptation and protein complexes in prokaryotes.

Beate Krüger, Chunguang Liang, Florian Prell, Astrid Fieselmann, Andres Moya, Stefan Schuster, Uwe Völker, Thomas Dandekar

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2012. 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
0.2field-weighted citation impact, top 36% of its field
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, 5 citations in OpenAlex.

  1. Article
  2. AProteomes · 2016
    Article
  3. Review
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

8 authors at 4 institutions in 2 countries.

Beate KrügerDepartment of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, 97074 Würzburg, Germany. beate.krueger@biozentrum.uni-wuerzburg.de.
Chunguang LiangDepartment of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, 97074 Würzburg, Germany. liang@biozentrum.uni-wuerzburg.de.
Florian PrellDepartment of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, 97074 Würzburg, Germany. Florian.Prell@stud-mail.uni-wuerzburg.de.
Astrid FieselmannDepartment of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, 97074 Würzburg, Germany. astrid.fieselmann@uni-wuerzburg.de.
Andres MoyaUnidad Mixta de Investigación en Genómica y Salud CSISP-UVEG, University of València José Beltrán 2, 46980 Paterna, Valencia, Spain. andres.moya@uv.es.
Stefan SchusterDepartment of Bioinformatics, Friedrich-Schiller-University Jena, Ernst-Abbe-Platz 2, 07743 Jena, Germany. stefan.schu@uni-jena.de.
Uwe VölkerDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, Friedrich-Ludwig-Jahn-Straße 15a, 17487, Greifswald, Germany. voelker@uni-greifswald.de.
Thomas DandekarDepartment of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, 97074 Würzburg, Germany. dandekar@biozentrum.uni-wuerzburg.de.
University of Würzburg · DEFriedrich Schiller University Jena · DEParc Científic de la Universitat de València · ESUniversität Greifswald · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein complexes are classified and have been charted in several large-scale screening studies in prokaryotes. These complexes are organized in a factory-like fashion to optimize protein production and metabolism. Central components are conserved between different prokaryotes; major complexes involve carbohydrate, amino acid, fatty acid and nucleotide metabolism. Metabolic adaptation changes protein complexes according to environmental conditions. Protein modification depends on specific modifying enzymes. Proteins such as trigger enzymes display condition-dependent adaptation to different functions by participating in several complexes. Several bacterial pathogens adapt rapidly to intracellular survival with concomitant changes in protein complexes in central metabolism and optimize utilization of their favorite available nutrient source. Regulation optimizes protein costs. Master regulators lead to up- and downregulation in specific subnetworks and all involved complexes. Long protein half-life and low level expression detaches protein levels from gene expression levels. However, under optimal growth conditions, metabolite fluxes through central carbohydrate pathways correlate well with gene expression. In a system-wide view, major metabolic changes lead to rapid adaptation of complexes and feedback or feedforward regulation. Finally, prokaryotic enzyme complexes are involved in crowding and substrate channeling. This depends on detailed structural interactions and is verified for specific effects by experiments and simulations.

Identifiers

PMID24957769
PMCPMC3901225
OpenAlexW2166533122

What OpenQuestion holds

Textmetadata
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.