ArticleNature chemical biology2019
A genetics-free method for high-throughput discovery of cryptic microbial metabolites.
Article in Nature chemical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.
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.
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.
Who cites it
96 citing papers in PubMed.
- From predicted bacteriocins to ecological function.Current research in microbial sciences · 2026Review
- The PreKit platform: Cryptic gene clusters activation and high-titer compound production.Synthetic and systems biotechnology · 2026Article
- Tangled Tail of Mechanically Interlocked Peptides.Journal of the American Chemical Society · 2026Review
- Expanding the paradigm of glycopeptide antibiotic recognition through molecular dynamics simulations.Communications chemistry · 2026Article
- Salt supplementation-induced metabolic reprogramming inmSystems · 2026Article
- Leveraging antibiotic hormesis for cryptic natural product discovery.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Enhancing microbial metabolic capacity through high-energy electron beam-induced intense structural variations.Nature communications · 2026Article
- Discovery of a Human Metabolite That Mimics the Bacterial Quorum-Sensing Autoinducer AI-2.Journal of the American Chemical Society · 2026Article
- Advances in natural product discovery: strategies, technologies, and insights.Natural products and bioprospecting · 2026Review
- Hidden in the Pangenome? Machine Learning-Driven Discovery of Antimicrobial Potential inBioinformatics and biology insights · 2026Article
- Dual-probe genome mining identifies citrulassin N, a novel citrulline modified lasso peptide fromFrontiers in microbiology · 2026Article
- Exploration of inactive metabolic pathways in AntarcticIMA fungus · 2026Article
- Tetracycline Antibiotics Induce Biosynthesis of Pro-Inflammatory Metabolites in the ImmunobioticACS central science · 2025Article
- Article
- Regulatory Genes as Beacons for Discovery and Prioritization of Biosynthetic Gene Clusters inBiochemistry · 2025Article
- Uncovering encrypted antimicrobial peptides in health-associated Lactobacillaceae by large-scale genomics and machine learning.Microbiome · 2025Article
- Discovery of a Two-Step Enzyme Cascade Converting Aspartate to Aminomalonate in Peptide Natural Product Biosynthesis.Journal of the American Chemical Society · 2025Article
- Unlocking hidden treasures: the evolution of high-throughput mass spectrometry in screening for cryptic natural products.Natural product reports · 2025Review
- Teicoplanin Nonribosomal Peptide Synthetase Is Unable to Incorporate Alpha-Ketoacid Building Blocks.Biochemistry · 2025Article
- A rare peptide scaffold in kineomicins, the glycopeptide antibiotics produced by Actinokineospora auranticolor DSM 44650.Communications chemistry · 2025Article
36 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Bacteria contain an immense untapped trove of novel secondary metabolites in the form of 'silent' biosynthetic gene clusters (BGCs). These can be identified bioinformatically but are not expressed under normal laboratory growth conditions. Methods to access their products would dramatically expand the pool of bioactive compounds. We report a universal high-throughput method for activating silent BGCs in diverse microorganisms. Our approach relies on elicitor screening to induce the secondary metabolome of a given strain and imaging mass spectrometry to visualize the resulting metabolomes in response to ~500 conditions. Because it does not require challenging genetic, cloning, or culturing procedures, this method can be used with both sequenced and unsequenced bacteria. We demonstrate the power of the approach by applying it to diverse bacteria and report the discovery of nine cryptic metabolites with potentially therapeutic bioactivities, including a new glycopeptide chemotype with potent inhibitory activity against a pathogenic virus.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.