Evidence map›Paper›PMID 30047562›Full record

ArticleMolecular microbiology2018

An important role for periplasmic storage in Pseudomonas aeruginosa copper homeostasis revealed by a combined experimental and computational modeling study.

Jignesh H Parmar, Julia Quintana, David Ramírez, Reinhard Laubenbacher, José M Argüello, Pedro Mendes

Open access · greenAbstract read
In one paragraph

Article in Molecular microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Copper homeostasis networks in pseudomonas aeruginosa and the organocopper metabolite fluopsin C.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Review
  2. Article
  3. CuiT is a Cu importer required for metal homeostasis inBiochemistry and biophysics reports · 2026
    Article
  4. Review
  5. Article
  6. Unique underlying principles shaping copper homeostasis networks.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2022
    Review
  7. Article
  8. Review
  9. Advances in Understanding of the Copper Homeostasis inInternational journal of molecular sciences · 2021
    Review
  10. Article
  11. Article
  12. 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

6 authors at 3 institutions in 1 country.

Jignesh H ParmarCenter for Quantitative Medicine and Department of Cell Biology, University of Connecticut School of Medicine, 263 Farmington Av, Farmington, CT, 06030, USA.
Julia QuintanaDepartment of Chemistry and Biochemistry, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA, 01609, USA.
David RamírezDepartment of Chemistry and Biochemistry, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA, 01609, USA.
Reinhard LaubenbacherCenter for Quantitative Medicine and Department of Cell Biology, University of Connecticut School of Medicine, 263 Farmington Av, Farmington, CT, 06030, USA.
José M ArgüelloDepartment of Chemistry and Biochemistry, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA, 01609, USA.
Pedro MendesCenter for Quantitative Medicine and Department of Cell Biology, University of Connecticut School of Medicine, 263 Farmington Av, Farmington, CT, 06030, USA.
Worcester Polytechnic Institute · USUniversity of Connecticut · USUConn Health · US

Funding

COPASI software for modeling and simulation of biochemical networksR01GM080219 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI HOOPS, STEFAN, MENDES, PEDRO · 2007 to 2019
$5.4M
Modular design of multiscale models, with an application to the innate immune response to fungal respiratory pathogens.U01EB024501 · NIBIB · UNIVERSITY OF FLORIDA · PI LAUBENBACHER, REINHARD, MEHRAD, BORNA · 2017 to 2020
$2.9M
Copper homeostasis in the opportunistic pathogen pseudomonas aeruginosaR01GM114949 · NIGMS · WORCESTER POLYTECHNIC INSTITUTE · PI ARGUELLO, JOSE M, LAUBENBACHER, REINHARD · 2015 to 2018
$1.3M
NIBIB NIH HHS U01 EB024501NIGMS NIH HHS R01 GM080219NIGMS NIH HHS R01 GM114949
6 · The paper itself

Abstract

Biological systems require precise copper homeostasis enabling metallation of cuproproteins while preventing metal toxicity. In bacteria, sensing, transport, and storage molecules act in coordination to fulfill these roles. However, there is not yet a kinetic schema explaining the system integration. Here, we report a model emerging from experimental and computational approaches that describes the dynamics of copper distribution in Pseudomonas aeruginosa. Based on copper uptake experiments, a minimal kinetic model describes well the copper distribution in the wild-type bacteria but is unable to explain the behavior of the mutant strain lacking CopA1, a key Cu

Indexed as

HomeostasisBiological TransportComputer SimulationCopperCopper-Transporting ATPasesCytoplasmEscherichia coli ProteinsModels, BiologicalPeriplasmPseudomonas aeruginosaTrace ElementscopA protein, E coliCopperCopper-Transporting ATPasesEscherichia coli ProteinsTrace Elements

Identifiers

PMID30047562
PMCPMC6207460
OpenAlexW2952559799

What OpenQuestion holds

Textmetadata
LicenceTDM
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.