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Related Experiment Video

Updated: Jan 26, 2026

Population and Single-Cell Analysis of Antibiotic Persistence in Escherichia coli

Population and Single-Cell Analysis of Antibiotic Persistence in Escherichia coli

Published on: March 24, 2023

Definitions and guidelines for research on antibiotic persistence.

Nathalie Q Balaban¹, Sophie Helaine², Kim Lewis³

¹Racah Institute of Physics, The Hebrew University, Jerusalem, Israel. nathalie.balaban@mail.huji.ac.il.

Nature Reviews. Microbiology

|April 14, 2019

Summary

Antibiotic persistence, a subpopulation of bacteria surviving treatment without resistance, requires clear definitions and measurement guidelines. This consensus aims to standardize understanding for better clinical relevance.

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Area of Science:

Microbiology
Bacteriology
Molecular Biology

Background:

Rising antibiotic therapy failures necessitate research into bacterial survival mechanisms.
Bacterial persister cells survive antibiotics without genetic resistance, posing a clinical challenge.
Advances in single-cell analysis fuel research into antibiotic persistence.

Purpose of the Study:

To establish a consensus on the definition and measurement of antibiotic persistence.
To differentiate persistence from antibiotic resistance, heteroresistance, and tolerance.
To guide future research on the clinical relevance of bacterial persistence.

Main Methods:

Review and synthesis of existing literature on bacterial persistence.
Development of standardized definitions for persistence phenomena.
Proposal of a framework for measuring antibiotic persistence.

Main Results:

Clear definitions for antibiotic persistence, triggered persistence, and spontaneous persistence are proposed.
Distinctions are made between persistence and other bacterial survival strategies.
A guide for measuring bacterial persistence is provided.

Conclusions:

Standardized definitions and measurement methods are crucial for advancing antibiotic persistence research.
Understanding persistence can improve characterization of antibiotic treatment failures.
This consensus aims to enhance the understanding of persistence's role in clinical outcomes.