Single-Cell Technologies to Study Phenotypic Heterogeneity and Bacterial Persisters.

Microorganisms

Department of Molecular Biology & Biophysics, UConn Health, Farmington, CT 06032, USA.

Published: November 2021

AI Article Synopsis

  • Antibiotic persistence allows some bacteria to survive treatment that kills most of their population, despite being genetically similar.
  • Technological advancements in single-cell analysis are making it easier to study these rare, persistent cells and their behaviors.
  • This review explores current methodologies for investigating bacterial persistence, highlights knowledge gaps, and discusses how these insights could enhance treatment strategies for infectious diseases.

Article Abstract

Antibiotic persistence is a phenomenon in which rare cells of a clonal bacterial population can survive antibiotic doses that kill their kin, even though the entire population is genetically susceptible. With antibiotic treatment failure on the rise, there is growing interest in understanding the molecular mechanisms underlying bacterial phenotypic heterogeneity and antibiotic persistence. However, elucidating these rare cell states can be technically challenging. The advent of single-cell techniques has enabled us to observe and quantitatively investigate individual cells in complex, phenotypically heterogeneous populations. In this review, we will discuss current technologies for studying persister phenotypes, including fluorescent tags and biosensors used to elucidate cellular processes; advances in flow cytometry, mass spectrometry, Raman spectroscopy, and microfluidics that contribute high-throughput and high-content information; and next-generation sequencing for powerful insights into genetic and transcriptomic programs. We will further discuss existing knowledge gaps, cutting-edge technologies that can address them, and how advances in single-cell microbiology can potentially improve infectious disease treatment outcomes.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620850PMC
http://dx.doi.org/10.3390/microorganisms9112277DOI Listing

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