Evidence map›Paper›PMID 18777632›Full record

ReviewMycopathologia

Insights into the pathobiology of Paracoccidioides brasiliensis from transcriptome analysis--advances and perspectives.

Simoneide S Silva, Hugo C Paes, Célia M A Soares, Larissa Fernandes, Maria Sueli S Felipe

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Mycopathologia. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. EXPERIMENTAL PARACOCCIDIOIDOMYCOSIS IN PREGNANT RATS.Revista do Instituto de Medicina Tropical de Sao Paulo · 2015
    Article
  4. Review
  5. 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

5 authors at 2 institutions in 1 country.

Simoneide S SilvaLaboratório de Biologia Molecular, Departamento de Biologia Celular, Universidade de Brasília, Brasilia, DF 70910-900, Brazil.
Hugo C Paes
Célia M A Soares
Larissa Fernandes
Maria Sueli S Felipe
Universidade de Brasília · BRUniversidade Federal de Goiás · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paracoccidioiddes brasiliensis is a thermodimorphic fungus endemic to Latin America, where it causes the most prevalent systemic mycosis, paracoccidioidomycosis (PCM). DNA microarray technology has been used to identify patterns of gene expression when a microbe is confronted with conditions of interest, such as in vitro and/or ex vivo interaction with specific cells. P. brasiliensis is one organism that has benefited from this approach. Even though its genome has not been sequenced yet, much has been discovered from its transcriptome and DNA array analyses. In this review, we will outline the current knowledge in P. brasiliensis transcriptome, with focus on differential expression analysis in vitro and on the discussion of the genes that are controlled during the host-pathogen interaction ex vivo in order to give insights into the pathobiology of this fungus. In vitro experiments enabled the delineation of whole metabolic pathways; the description of differential metabolism between mycelium and yeast cells and of the mainly signaling pathways controlling dimorphism, high temperature growth, thermal and oxidative stress, and virulence/ pathogenicity. Recent ex vivo experiments provided advances on the comprehension of the plasticity of response and indicate that P. brasiliensis is not only able to undergo fast and dramatic expression profile changes but can also discern subtle differences, such as whether it is being attacked by a macrophage or submitted to the bloodstream route conditions.

Indexed as

Gene Expression ProfilingHost-Pathogen InteractionsParacoccidioidesAnimalsFungal ProteinsHumansMacrophagesMiceOligonucleotide Array Sequence AnalysisParacoccidioidomycosisVirulenceFungal Proteins

Identifiers

PMID18777632
OpenAlexW2055047675

What OpenQuestion holds

Textmetadata
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.