Evidence map›Paper›PMID 19501183›Full record

ArticleFungal genetics and biology : FG & B2009

Roles of the pH signaling transcription factor PacC in Wangiella (Exophiala) dermatitidis.

Qin Wang, Paul J Szaniszlo

Abstract read
In one paragraph

Article in Fungal genetics and biology : FG & B, 2009. 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
0.4field-weighted citation impact, top 38% 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, 14 citations in OpenAlex.

  1. Article
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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

2 authors at 1 institution in 1 country.

Qin WangSection of Molecular Genetics and Microbiology, School of Biological Sciences and Institute of Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX 78712, USA.
Paul J Szaniszlo
The University of Texas at Austin · US

Funding

WANGIELLA MODEL FOR DEMATIACEOUS FUNGAL PATHOGENSR01AI033049 · NIAID · UNIVERSITY OF TEXAS AUSTIN · PI SZANISZLO, PAUL J · 1993 to 2007
$1.8M
NIAID NIH HHS AI33049NIAID NIH HHS R01 AI033049
6 · The paper itself

Abstract

To study the function of the PacC transcription factor in Wangiella dermatitidis, a black, polymorphic fungal pathogen of humans with yeast-phase predominance, the PACC gene was cloned, sequenced, disrupted and expressed. Three zinc finger DNA-binding motifs were found at the N-terminus, and a signaling protease cleavage site at the C-terminus. PACC was more expressed at neutral-alkaline pH than at acidic pH. Truncation at about 40 residues of the coding sequence upstream of the conserved protease processing cleavage site of PacC affected growth on a nutrient-rich medium, increased sensitivity to Na(+) stress, decreased yeast growth at neutral-alkaline pH, and repressed hyphal growth on a nutrient-poor medium at 25 degrees C. Truncation at the coding sequence for the conserved signaling protease box of PacC impaired growth and reduced RNA expression of the class II chitin synthase gene at acidic pH. The results suggested that PacC is important not only for the adaptation of W. dermatitidis to different ambient pH conditions and Na(+) stress conditions, but also for influencing yeast-hyphal transitions in this agent of phaeohyphomycosis.

Indexed as

Amino Acid SequenceChitin SynthaseCloning, MolecularDNA, FungalExophialaFungal ProteinsGene Expression Regulation, FungalHydrogen-Ion ConcentrationMolecular Sequence DataSequence Analysis, DNASodiumSpores, FungalStress, PhysiologicalTranscription FactorsZinc FingersChitin SynthaseDNA, FungalFungal ProteinsSodiumTranscription Factors

Identifiers

PMID19501183
PMCPMC2755521
OpenAlexW1985410280

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.