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Development of Persister-FACSeq: a method to massively parallelize quantification of persister physiology and its heterogeneity
Bacterial persisters are thought to underlie the relapse of chronic infections. Knowledge of persister physiology would illuminate avenues for therapeutic intervention; however, such knowledge has remained elusive because persisters have yet to be segregated from other cell types to sufficient purit...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4855238/ https://www.ncbi.nlm.nih.gov/pubmed/27142337 http://dx.doi.org/10.1038/srep25100 |
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author | Henry, Theresa C. Brynildsen, Mark P. |
author_facet | Henry, Theresa C. Brynildsen, Mark P. |
author_sort | Henry, Theresa C. |
collection | PubMed |
description | Bacterial persisters are thought to underlie the relapse of chronic infections. Knowledge of persister physiology would illuminate avenues for therapeutic intervention; however, such knowledge has remained elusive because persisters have yet to be segregated from other cell types to sufficient purity. This technical hurdle has stymied progress toward understanding persistence. Here we developed Persister-FACSeq, which is a method that uses fluorescence-activated cell sorting, antibiotic tolerance assays, and next generation sequencing to interrogate persister physiology and its heterogeneity. As a proof-of-concept, we used Persister-FACSeq on a library of reporters to study gene expression distributions in non-growing Escherichia coli, and found that persistence to ofloxacin is inversely correlated with the capacity of non-growing cells to synthesize protein. Since Persister-FACSeq can be applied to study persistence to any antibiotic in any environment for any bacteria that can harbor a fluorescent reporter, we anticipate that it will yield unprecedented knowledge of this detrimental phenotype. |
format | Online Article Text |
id | pubmed-4855238 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48552382016-05-18 Development of Persister-FACSeq: a method to massively parallelize quantification of persister physiology and its heterogeneity Henry, Theresa C. Brynildsen, Mark P. Sci Rep Article Bacterial persisters are thought to underlie the relapse of chronic infections. Knowledge of persister physiology would illuminate avenues for therapeutic intervention; however, such knowledge has remained elusive because persisters have yet to be segregated from other cell types to sufficient purity. This technical hurdle has stymied progress toward understanding persistence. Here we developed Persister-FACSeq, which is a method that uses fluorescence-activated cell sorting, antibiotic tolerance assays, and next generation sequencing to interrogate persister physiology and its heterogeneity. As a proof-of-concept, we used Persister-FACSeq on a library of reporters to study gene expression distributions in non-growing Escherichia coli, and found that persistence to ofloxacin is inversely correlated with the capacity of non-growing cells to synthesize protein. Since Persister-FACSeq can be applied to study persistence to any antibiotic in any environment for any bacteria that can harbor a fluorescent reporter, we anticipate that it will yield unprecedented knowledge of this detrimental phenotype. Nature Publishing Group 2016-05-04 /pmc/articles/PMC4855238/ /pubmed/27142337 http://dx.doi.org/10.1038/srep25100 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Henry, Theresa C. Brynildsen, Mark P. Development of Persister-FACSeq: a method to massively parallelize quantification of persister physiology and its heterogeneity |
title | Development of Persister-FACSeq: a method to massively parallelize quantification of persister physiology and its heterogeneity |
title_full | Development of Persister-FACSeq: a method to massively parallelize quantification of persister physiology and its heterogeneity |
title_fullStr | Development of Persister-FACSeq: a method to massively parallelize quantification of persister physiology and its heterogeneity |
title_full_unstemmed | Development of Persister-FACSeq: a method to massively parallelize quantification of persister physiology and its heterogeneity |
title_short | Development of Persister-FACSeq: a method to massively parallelize quantification of persister physiology and its heterogeneity |
title_sort | development of persister-facseq: a method to massively parallelize quantification of persister physiology and its heterogeneity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4855238/ https://www.ncbi.nlm.nih.gov/pubmed/27142337 http://dx.doi.org/10.1038/srep25100 |
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