Evidence map›Paper›PMID 39467708›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Quantitative Characterization of Gene Regulatory Circuits Associated With Fungal Secondary Metabolism to Discover Novel Natural Products.

Xinran Xu, Yanhong Sun, Anxin Zhang, Sijia Li, Shu Zhang, Sijing Chen, Chunbo Lou, Lei Cai, Yihua Chen, Chunxiong Luo and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

11 authors.

Xinran XuState Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, P. R. China.ORCID 0000-0003-3060-8554
Yanhong SunCenter for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, P. R. China.
Anxin ZhangState Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, P. R. China.
Sijia LiState Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, P. R. China.
Shu ZhangState Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, P. R. China.
Sijing ChenThe State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics, Peking University, Beijing, 100871, P. R. China.
Chunbo LouCAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, P. R. China.
Lei CaiState Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, P. R. China.
Yihua ChenMedical School, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China.
Chunxiong LuoCenter for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, P. R. China.ORCID 0000-0001-8974-7693
Wen-Bing YinState Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, P. R. China.ORCID 0000-0002-9184-3198

Funding

Biological Resources Program and Strategic Priority Research Program, Chinese Academy of Sciences KFJ-BRP-009-005Biological Resources Program and Strategic Priority Research Program, Chinese Academy of Sciences XDB0830000Chinese Academy of Sciences Project for Young Scientists in Basic Research YSBR-111Key Research Program of Frontier Science, Chinese Academy of Sciences ZDBS-LY-SM016National Natural Science Foundation of China 12374203National Natural Science Foundation of China 32170066National Natural Science Foundation of China 32201197
6 · The paper itself

Abstract

Microbial genetic circuits are vital for regulating gene expression and synthesizing bioactive compounds. However, assessing their strength and timing, especially in multicellular fungi, remains challenging. Here, an advanced microfluidic platform is combined with a mathematical model enabling precise characterization of fungal gene regulatory circuits (GRCs) at the single-cell level. Utilizing this platform, the expression intensity and timing of 30 transcription factor-promoter combinations derived from two representative fungal GRCs, using the model fungus Aspergillus nidulans are determined. As a proof of concept, the selected GRC combination is utilized to successfully refactor the biosynthetic pathways of bioactive molecules, precisely control their production, and activate the expression of the silenced biosynthetic gene clusters (BGCs). This study provides insights into microbial gene regulation and highlights the potential of platform in fungal synthetic biology applications and the discovery of novel natural products.

Indexed as

Aspergillus nidulansBiological ProductsGene Expression Regulation, FungalGene Regulatory NetworksSecondary MetabolismBiosynthetic PathwaysModels, TheoreticalMultigene FamilySynthetic BiologyTranscription FactorsBiological ProductsTranscription Factorsfilamentous fungigene regulatory circuitsmicrofluidicsquantificationsecondary metabolism

Identifiers

PMID39467708
PMCPMC11653720

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.