What question did this study set out to answer?

To resolve the transcriptional landscape, cellular heterogeneity, and metabolic transitions underlying biofilm formation in Acinetobacter baumannii at single-cell resolution.

August 21, 2026BiofilmOpen Access

From planktonic to biofilm states: single-cell transcriptomics reveals metabolic reprogramming and cellular heterogeneity in Acinetobacter baumannii

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Authors

NLNa Li YHYue Hu LLLulu Liu

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Overview

Single-cell transcriptomic profiling reveals metabolic reprogramming and cellular heterogeneity across Acinetobacter baumannii biofilm development, highlighting potential therapeutic vulnerabilities.

Key Points

To resolve the transcriptional landscape, cellular heterogeneity, and metabolic transitions underlying biofilm formation in Acinetobacter baumannii at single-cell resolution.
Captured the dynamic biofilm formation process across planktonic (0 h), intermediate mixed (12 h), and mature biofilm (48 h) states using single-cell RNA sequencing (scRNA-seq).
Characterized subpopulation-specific markers, gene ontology enrichment, and pseudotemporal developmental trajectories across cell clusters.
Planktonic populations exhibited metabolic divergence between phenylacetate catabolism and the tricarboxylic acid cycle, while 12-hour mixed populations co-upregulated ribosomal and stress response genes.
Mature 48-hour biofilms displayed activation of iron acquisition, sulfur and nitrogen salvage pathways, DNA repair mechanisms, and proteostasis systems under nutrient stress.
Pseudotemporal modeling identified a critical trajectory branchpoint (Node 2) driving the shift from a high-metabolism planktonic state to a low-metabolism biofilm state via downregulation of ribosomal and transporter genes.

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6aa6f739d4c94fa098d3b121 https://doi.org/10.1016/j.bioflm.2026.100393

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August 21, 2026BiofilmOpen Access

From planktonic to biofilm states: single-cell transcriptomics reveals metabolic reprogramming and cellular heterogeneity in Acinetobacter baumannii

View Full Paper

Ask AI

Bookmark

Authors

NLNa Li YHYue Hu LLLulu Liu

Discussion

Member takes

Overview

Single-cell transcriptomic profiling reveals metabolic reprogramming and cellular heterogeneity across Acinetobacter baumannii biofilm development, highlighting potential therapeutic vulnerabilities.

Key Points

To resolve the transcriptional landscape, cellular heterogeneity, and metabolic transitions underlying biofilm formation in Acinetobacter baumannii at single-cell resolution.
Captured the dynamic biofilm formation process across planktonic (0 h), intermediate mixed (12 h), and mature biofilm (48 h) states using single-cell RNA sequencing (scRNA-seq).
Characterized subpopulation-specific markers, gene ontology enrichment, and pseudotemporal developmental trajectories across cell clusters.
Planktonic populations exhibited metabolic divergence between phenylacetate catabolism and the tricarboxylic acid cycle, while 12-hour mixed populations co-upregulated ribosomal and stress response genes.
Mature 48-hour biofilms displayed activation of iron acquisition, sulfur and nitrogen salvage pathways, DNA repair mechanisms, and proteostasis systems under nutrient stress.
Pseudotemporal modeling identified a critical trajectory branchpoint (Node 2) driving the shift from a high-metabolism planktonic state to a low-metabolism biofilm state via downregulation of ribosomal and transporter genes.

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6aa6f739d4c94fa098d3b121 https://doi.org/10.1016/j.bioflm.2026.100393

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