Evidence map›Paper›PMID 29323188›Full record

ArticleScientific reports2018

A Tet-Off gene expression system for validation of antifungal drug targets in a murine invasive pulmonary aspergillosis model.

Yutian Peng, Hua Zhang, Min Xu, Man-Wah Tan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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
1.3field-weighted citation impact, top 22% 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, 16 citations in OpenAlex.

  1. Recent developments inMicrobiology and molecular biology reviews : MMBR · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. mSphere · 2022
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Aspergillus fumigatus and Aspergillosis in 2019.Clinical microbiology reviews · 2019
    Review
  11. Article
  12. Review
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

4 authors at 1 institution in 1 country.

Yutian PengInfectious Diseases Department, Genentech Inc., South San Francisco, California, 94080, USA. peng.yutian@gene.com.
Hua ZhangTranslational Immunology Department, Genentech Inc., South San Francisco, California, 94080, USA.
Min XuTranslational Immunology Department, Genentech Inc., South San Francisco, California, 94080, USA.
Man-Wah TanInfectious Diseases Department, Genentech Inc., South San Francisco, California, 94080, USA. tan.man-wah@gene.com.
Gene Therapy Laboratory · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aspergillus fumigatus is one of the major causes of invasive pulmonary aspergillosis in immunocompromised patients. Novel antifungal therapy is in urgent need due to emerging resistance and adverse toxicity of current antifungal drugs. Gene products that are essential for Aspergillus viability during infection are attractive drug targets. To characterize these genes in vivo we developed a Tet-Off gene expression system in A. fumigatus, whereby the administration of doxycycline resulted in down regulation of the gene whose expression is under the control of the Tet-Off promoter. We tested the system on two potential drug targets, inosine 5'-monophosphate dehydrogenase (IMPDH) and L-ornithine N

Indexed as

Down-RegulationAnimalsAspergillus fumigatusDisease Models, AnimalDoxycyclineFungal ProteinsGene Expression Regulation, FungalGenes, EssentialHumansIMP DehydrogenaseInvasive Pulmonary AspergillosisMiceMixed Function OxygenasesPromoter Regions, GeneticVirulenceDoxycyclineFungal ProteinsIMP DehydrogenaseMixed Function Oxygenasesornithine N5-oxygenase

Identifiers

PMID29323188
PMCPMC5765126
OpenAlexW2782268725

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.