Evidence map›Paper›PMID 41068425›Full record

ArticleCommunications biology2025

Systematic over-expression of secondary metabolism transcription factors to reveal the pharmaceutical potential of Aspergillus nidulans.

Shuhui Guo, Lakhansing Pardeshi, Longguang Qin, Chris Y Cheung, Xiaofeng Liu, Lu Fan, Chi Cheng Mok, Chirag Parsania, Zhiqiang Dong, Ben C B Ko and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications biology, 2025. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. 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

12 authors.

Shuhui GuoFaculty of Health Sciences, University of Macau, Macau SAR, China. guosh@wxu.edu.cn.ORCID http://orcid.org/0000-0002-3217-5871
Lakhansing PardeshiGenomics, Bioinformatics & Single Cell Analysis Core, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Longguang QinFaculty of Health Sciences, University of Macau, Macau SAR, China.
Chris Y CheungDepartment of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Xiaofeng LiuFaculty of Health Sciences, University of Macau, Macau SAR, China.
Lu FanFaculty of Health Sciences, University of Macau, Macau SAR, China.
Chi Cheng MokFaculty of Health Sciences, University of Macau, Macau SAR, China.
Chirag ParsaniaFaculty of Health Sciences, University of Macau, Macau SAR, China.ORCID http://orcid.org/0000-0003-4873-2385
Zhiqiang DongFaculty of Health Sciences, University of Macau, Macau SAR, China.
Ben C B KoDepartment of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Kaeling TanFaculty of Health Sciences, University of Macau, Macau SAR, China.
Koon Ho WongFaculty of Health Sciences, University of Macau, Macau SAR, China. koonhowong@um.edu.mo.ORCID http://orcid.org/0000-0002-9264-5118

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many life-saving drugs are derived from fungal secondary metabolites, and the rich diversity of these metabolites is a gold mine of bioactive compounds for drug discovery. However, the biosynthetic genes for most secondary metabolites remain transcriptionally silent in fungi, posing a significant bottleneck in their discovery. Here, we apply a systematic approach to separately over-express 51 secondary metabolism-related transcription factors using the strong inducible promoter of the xylP gene from Penicillium chrysogenum. Growing the individual secondary metabolism transcription factor over-expression strains under inducible conditions leads to the production of a collection of diverse metabolites with anti-bacterial, anti-fungal and anti-cancer activities. The overall approach and the over-expression system established in this study are broadly-applicable, providing a valuable means to revealing the pharmaceutical potentials of fungi.

Indexed as

Aspergillus nidulansFungal ProteinsSecondary MetabolismTranscription FactorsAnti-Bacterial AgentsAntifungal AgentsAntineoplastic AgentsGene Expression Regulation, FungalPenicillium chrysogenumPromoter Regions, GeneticAnti-Bacterial AgentsAntifungal AgentsAntineoplastic AgentsFungal ProteinsTranscription Factors

Identifiers

PMID41068425
PMCPMC12511407

What OpenQuestion holds

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Registered trials

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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.