Evidence map›Paper›PMID 24811072›Full record

ArticlePLoS neglected tropical diseases2014

Transcriptional and proteomic responses to carbon starvation in Paracoccidioides.

Patrícia de Sousa Lima, Luciana Casaletti, Alexandre Melo Bailão, Ana Tereza Ribeiro de Vasconcelos, Gabriel da Rocha Fernandes, Célia Maria de Almeida Soares

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2014. 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
5.4field-weighted citation impact, top 4% 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, 75 citations in OpenAlex.

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  7. In vitro and in silico analysis reveals antifungal activity and potential targets of curcumin on Paracoccidioides spp.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
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  11. Review
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  13. Beyond Melanin: Proteomics Reveals Virulence-Related Proteins inJournal of fungi (Basel, Switzerland) · 2020
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  15. The Trojan Horse Model inFrontiers in cellular and infection microbiology · 2020
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  19. Proteomic Analysis ofFrontiers in microbiology · 2019
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  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

6 authors at 4 institutions in 1 country.

Patrícia de Sousa LimaLaboratório de Biologia Molecular, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Goiás, Brazil; Programa de Pós Graduação em Patologia Molecular, Faculdade de Medicina, Universidade de Brasília, Brasília, Distrito Federal, Brazil.
Luciana CasalettiLaboratório de Biologia Molecular, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.
Alexandre Melo BailãoLaboratório de Biologia Molecular, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.
Ana Tereza Ribeiro de VasconcelosLaboratório Nacional de Computação Científica (LNCC), Petrópolis, Rio de Janeiro, Brazil.
Gabriel da Rocha FernandesLaboratório de Bioinformática, Universidade Católica de Brasília, Brasília, Distrito Federal, Brazil.
Célia Maria de Almeida SoaresLaboratório de Biologia Molecular, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.
Universidade Federal de Goiás · BRLaboratório Nacional de Computação Científica · BRUniversidade Católica de Brasília · BRUniversidade de Brasília · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe genus Paracoccidioides comprises human thermal dimorphic fungi, which cause paracoccidioidomycosis (PCM), an important mycosis in Latin America. Adaptation to environmental conditions is key to fungal survival during human host infection. The adaptability of carbon metabolism is a vital fitness attribute during pathogenesis. METHODOLOGY/PRINCIPAL

findingsThe fungal pathogen Paracoccidioides spp. is exposed to numerous adverse conditions, such as nutrient deprivation, in the human host. In this study, a comprehensive response of Paracoccidioides, Pb01, under carbon starvation was investigated using high-resolution transcriptomic (RNAseq) and proteomic (NanoUPLC-MSE) approaches. A total of 1,063 transcripts and 421 proteins were differentially regulated, providing a global view of metabolic reprogramming during carbon starvation. The main changes were those related to cells shifting to gluconeogenesis and ethanol production, supported by the degradation of amino acids and fatty acids and by the modulation of the glyoxylate and tricarboxylic cycles. This proposed carbon flow hypothesis was supported by gene and protein expression profiles assessed using qRT-PCR and western blot analysis, respectively, as well as using enzymatic, cell dry weight and fungus-macrophage interaction assays. The carbon source provides a survival advantage to Paracoccidioides inside macrophages. CONCLUSIONS/SIGNIFICANCE: For a complete understanding of the physiological processes in an organism, the integration of approaches addressing different levels of regulation is important. To the best of our knowledge, this report presents the first description of the responses of Paracoccidioides spp. to host-like conditions using large-scale expression approaches. The alternative metabolic pathways that could be adopted by the organism during carbon starvation can be important for a better understanding of the fungal adaptation to the host, because systems for detecting and responding to carbon sources play a major role in adaptation and persistence in the host niche.

Indexed as

AnimalsCarbonCell LineFungal ProteinsHost-Pathogen InteractionsMacrophagesMiceParacoccidioidesProteomeStress, PhysiologicalTranscriptomeCarbonFungal ProteinsProteome

Identifiers

PMID24811072
PMCPMC4014450
OpenAlexW2028036101

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.