Bioorthogonal non-canonical amino acid tagging reveals translationally active subpopulations of the cystic fibrosis lung microbiota

Bioorthogonal non-canonical amino acid tagging (BONCAT) coupled with flow cytometry (FACS) has been utilized to profile active microbiome of environmental samples. Here, the authors combine BONCAT-FACS and 16 S rRNA sequencing to characterize the translational activity of bacterial communities withi...

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Autores principales:	Talia D. Valentini, Sarah K. Lucas, Kelsey A. Binder, Lydia C. Cameron, Jason A. Motl, Jordan M. Dunitz, Ryan C. Hunter
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/63e92ae2f59b44fdbdff84eaf0427dda
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spelling	oai:doaj.org-article:63e92ae2f59b44fdbdff84eaf0427dda2021-12-02T14:40:28ZBioorthogonal non-canonical amino acid tagging reveals translationally active subpopulations of the cystic fibrosis lung microbiota10.1038/s41467-020-16163-22041-1723https://doaj.org/article/63e92ae2f59b44fdbdff84eaf0427dda2020-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-16163-2https://doaj.org/toc/2041-1723Bioorthogonal non-canonical amino acid tagging (BONCAT) coupled with flow cytometry (FACS) has been utilized to profile active microbiome of environmental samples. Here, the authors combine BONCAT-FACS and 16 S rRNA sequencing to characterize the translational activity of bacterial communities within sputum derived from stable cystic fibrosis patients.Talia D. ValentiniSarah K. LucasKelsey A. BinderLydia C. CameronJason A. MotlJordan M. DunitzRyan C. HunterNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Talia D. Valentini Sarah K. Lucas Kelsey A. Binder Lydia C. Cameron Jason A. Motl Jordan M. Dunitz Ryan C. Hunter Bioorthogonal non-canonical amino acid tagging reveals translationally active subpopulations of the cystic fibrosis lung microbiota
description	Bioorthogonal non-canonical amino acid tagging (BONCAT) coupled with flow cytometry (FACS) has been utilized to profile active microbiome of environmental samples. Here, the authors combine BONCAT-FACS and 16 S rRNA sequencing to characterize the translational activity of bacterial communities within sputum derived from stable cystic fibrosis patients.
format	article
author	Talia D. Valentini Sarah K. Lucas Kelsey A. Binder Lydia C. Cameron Jason A. Motl Jordan M. Dunitz Ryan C. Hunter
author_facet	Talia D. Valentini Sarah K. Lucas Kelsey A. Binder Lydia C. Cameron Jason A. Motl Jordan M. Dunitz Ryan C. Hunter
author_sort	Talia D. Valentini
title	Bioorthogonal non-canonical amino acid tagging reveals translationally active subpopulations of the cystic fibrosis lung microbiota
title_short	Bioorthogonal non-canonical amino acid tagging reveals translationally active subpopulations of the cystic fibrosis lung microbiota
title_full	Bioorthogonal non-canonical amino acid tagging reveals translationally active subpopulations of the cystic fibrosis lung microbiota
title_fullStr	Bioorthogonal non-canonical amino acid tagging reveals translationally active subpopulations of the cystic fibrosis lung microbiota
title_full_unstemmed	Bioorthogonal non-canonical amino acid tagging reveals translationally active subpopulations of the cystic fibrosis lung microbiota
title_sort	bioorthogonal non-canonical amino acid tagging reveals translationally active subpopulations of the cystic fibrosis lung microbiota
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/63e92ae2f59b44fdbdff84eaf0427dda
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Bioorthogonal non-canonical amino acid tagging reveals translationally active subpopulations of the cystic fibrosis lung microbiota

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