ArticleNature communications2026
Single-bacterium metabolome revealing heterogeneous cellular states in bacterial populations.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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13 authors.
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Abstract
Bacterial metabolism is a complex system of interwoven pathways coordinated by an intricate, multilayered regulatory network. Dissecting the metabolism at single bacterial level is highly challenging. Herein, we greatly increase the sensitivity of the bacterial measurement with our home-made single-bacterium metabolome (SinBactM) mass spectrometry platform, which combines micro-extraction with induced nanoelectrospray ionization mass spectrometry, for mapping metabolites of the primary bacterium. The universal applicability of the SinBactM platform is demonstrated by successfully discriminating distinct metabolic profiles across different bacterial species. By measuring the bacterial uptake of antibiotics and observing the dynamic metabolic changes in response to external stimuli, the accuracy and reliability of SinBactM platform are further validated. We apply SinBactM to characterize clinical heteroresistant K. pneumoniae strains metabolic alteration under antibiotic perturbation. Several different subpopulations resulting from antibiotic perturbation are classified based on their metabolome, while pseudotemporal ordering reveals a trajectory of metabolic change across subpopulations. Thus, SinBactM platform paves the way for profiling metabolomics of individual bacterial cells, which might provide an exciting dimension to a thorough understanding of antibiotic-resistant evolution for in-depth interrogation of resistant mechanisms.
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