Evidence map›Paper›PMID 42230649›Full record

ArticleNature communications2026

Pre-treatment bacterial cell states shape antibiotic-induced transcriptional reprogramming and survival.

Qiang Liu, Zehui Yu, Xiaoli Liu, Amy Iverson, Tyler Simmons, Jason W Rosch, Peijun Ma

Abstract read
In one paragraph

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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Qiang LiuDepartment of Pharmacy and Pharmaceutical Sciences, St Jude Children's Research Hospital, Memphis, TN, USA.
Zehui YuDepartment of Pharmacy and Pharmaceutical Sciences, St Jude Children's Research Hospital, Memphis, TN, USA.
Xiaoli LiuDepartment of Pharmacy and Pharmaceutical Sciences, St Jude Children's Research Hospital, Memphis, TN, USA.
Amy IversonDepartment of Host-Microbe Interactions, St Jude Children's Research Hospital, Memphis, TN, USA.
Tyler SimmonsDepartment of Host-Microbe Interactions, St Jude Children's Research Hospital, Memphis, TN, USA.
Jason W RoschDepartment of Host-Microbe Interactions, St Jude Children's Research Hospital, Memphis, TN, USA.ORCID http://orcid.org/0000-0002-1798-1760
Peijun MaDepartment of Pharmacy and Pharmaceutical Sciences, St Jude Children's Research Hospital, Memphis, TN, USA. peijun.ma@stjude.org.ORCID http://orcid.org/0000-0002-7670-7016

Funding

Deciphering the genetic regulation of bacterial heterogeneity in response to antibiotic stress using single-cell transcriptomicsR35GM157243 · NIGMS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Peijun Ma · 2025 to 2026
$925k
NIGMS NIH HHS R35 GM157243U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35GM157243
6 · The paper itself

Abstract

Bacteria can survive antibiotic treatment through phenotypic adaptation, a process that is often transient and involves heterogeneous transcriptional reprogramming. However, how this transcriptional heterogeneity is generated and how it influences antibiotic survival remains unclear. Here, we use bacterial single-cell RNA sequencing and functional assays in Klebsiella pneumoniae to characterize transcriptional heterogeneity and examine how pre-treatment cell states are associated with antibiotic-induced responses and survival outcomes. Using growth phase as a biologically meaningful axis of transcriptional variation, we reveal that even within an isogenic population, distinct transcriptional responses can be induced and co-contribute to survival. These responses are shaped by the cell's pre-treatment transcriptional state and the mechanism of antibiotic action. Genetic and environmental perturbations, such as rpoS deletion and nutrient supplementation, shift pre-treatment cell states and alter survival frequencies. Our findings establish the biological significance of transcriptional heterogeneity shaped by pre-treatment cell states, providing a systems-level framework for understanding bacterial antibiotic response and suggesting strategies to enhance antibiotic efficacy by modulating cell states.

Indexed as

Anti-Bacterial AgentsGene Expression Regulation, BacterialKlebsiella pneumoniaeTranscription, GeneticBacterial ProteinsMicrobial ViabilitySigma FactorSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisAnti-Bacterial AgentsBacterial ProteinsSigma Factorsigma factor KatF protein, Bacteria

Identifiers

PMID42230649
PMCPMC13392017

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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.