Evidence map›Paper›PMID 21829521›Full record

ArticlePloS one2011

Proteomic analysis reveals that iron availability alters the metabolic status of the pathogenic fungus Paracoccidioides brasiliensis.

Ana F A Parente, Alexandre M Bailão, Clayton L Borges, Juliana A Parente, Adriana D Magalhães, Carlos A O Ricart, Célia M A Soares

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

38 citing papers in PubMed, 70 citations in OpenAlex.

  1. Proteomic and Secretomic Response of an AfricanJournal of proteome research · 2026
    Article
  2. The transcriptional regulatorCurrent research in microbial sciences · 2025
    Article
  3. Article
  4. Proteomics ofJournal of fungi (Basel, Switzerland) · 2023
    Article
  5. Proteomic Profiling ofJournal of fungi (Basel, Switzerland) · 2023
    Article
  6. Article
  7. Transcriptional profiling of a fungal granuloma reveals a low metabolic activity ofFrontiers in cellular and infection microbiology · 2023
    Article
  8. Review
  9. Iron Deprivation Modulates the Exoproteome inFrontiers in cellular and infection microbiology · 2022
    Article
  10. Interacting with Hemoglobin:Journal of fungi (Basel, Switzerland) · 2021
    Article
  11. Prediction of Conserved Peptides ofJournal of fungi (Basel, Switzerland) · 2020
    Article
  12. The "Little Iron Waltz": The Ternary Response ofJournal of fungi (Basel, Switzerland) · 2020
    Review
  13. Article
  14. Living Within the Macrophage: Dimorphic Fungal Pathogen Intracellular Metabolism.Frontiers in cellular and infection microbiology · 2020
    Review
  15. The Trojan Horse Model inFrontiers in cellular and infection microbiology · 2020
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors at 2 institutions in 1 country.

Ana F A ParenteLaboratório de Biologia Molecular, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.
Alexandre M Bailão
Clayton L Borges
Juliana A Parente
Adriana D Magalhães
Carlos A O Ricart
Célia M A Soares
Universidade Federal de Goiás · BRUniversidade de Brasília · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paracoccidioides brasiliensis is a thermodimorphic fungus and the causative agent of paracoccidioidomycosis (PCM). The ability of P. brasiliensis to uptake nutrients is fundamental for growth, but a reduction in the availability of iron and other nutrients is a host defense mechanism many pathogenic fungi must overcome. Thus, fungal mechanisms that scavenge iron from host may contribute to P. brasiliensis virulence. In order to better understand how P. brasiliensis adapts to iron starvation in the host we compared the two-dimensional (2D) gel protein profile of yeast cells during iron starvation to that of iron rich condition. Protein spots were selected for comparative analysis based on the protein staining intensity as determined by image analysis. A total of 1752 protein spots were selected for comparison, and a total of 274 out of the 1752 protein spots were determined to have changed significantly in abundance due to iron depletion. Ninety six of the 274 proteins were grouped into the following functional categories; energy, metabolism, cell rescue, virulence, cell cycle, protein synthesis, protein fate, transcription, cellular communication, and cell fate. A correlation between protein and transcript levels was also discovered using quantitative RT-PCR analysis from RNA obtained from P. brasiliensis under iron restricting conditions and from yeast cells isolated from infected mouse spleens. In addition, western blot analysis and enzyme activity assays validated the differential regulation of proteins identified by 2-D gel analysis. We observed an increase in glycolytic pathway protein regulation while tricarboxylic acid cycle, glyoxylate and methylcitrate cycles, and electron transport chain proteins decreased in abundance under iron limiting conditions. These data suggest a remodeling of P. brasiliensis metabolism by prioritizing iron independent pathways.

Indexed as

Gene Expression ProfilingProteomicsAnimalsApoptosisBiomarkersBlotting, WesternCell ProliferationElectrophoresis, Gel, Two-DimensionalFemaleGene Expression Regulation, FungalIronIron DeficienciesMiceMice, Inbred BALB COligonucleotide Array Sequence AnalysisParacoccidioidesBiomarkersIronRNA, FungalRNA, Messenger

Identifiers

PMID21829521
PMCPMC3145762
OpenAlexW2021757984

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.