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Quantification and characterization of mouse and human tissue-resident microbiota by qPCR and 16S sequencing

The tissue-resident microbiota is an integral component of multiple tumor types, but it remains challenging to characterize its abundance and composition due to its low biomass. Here, we describe an optimized protocol for quantification and profiling of tissue-resident microbiota. The major optimize...

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Autores principales: Yao, Bingqing, Dong, Tingting, Fu, Aikun, Li, Hang, Jiang, Chuhan, Li, Nan, Cai, Shang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558047/
https://www.ncbi.nlm.nih.gov/pubmed/36209427
http://dx.doi.org/10.1016/j.xpro.2022.101765
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author Yao, Bingqing
Dong, Tingting
Fu, Aikun
Li, Hang
Jiang, Chuhan
Li, Nan
Cai, Shang
author_facet Yao, Bingqing
Dong, Tingting
Fu, Aikun
Li, Hang
Jiang, Chuhan
Li, Nan
Cai, Shang
author_sort Yao, Bingqing
collection PubMed
description The tissue-resident microbiota is an integral component of multiple tumor types, but it remains challenging to characterize its abundance and composition due to its low biomass. Here, we describe an optimized protocol for quantification and profiling of tissue-resident microbiota. The major optimized steps include DNA extraction, qPCR, 16S library construction, and bioinformatics analysis. This protocol enables robust and accurate characterization of the dynamics of normal and tumor tissue-resident microbiota at its physiological abundance from both mouse and human origins. For complete details on the use and execution of this protocol, please refer to Fu et al. (2022).
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spelling pubmed-95580472022-10-14 Quantification and characterization of mouse and human tissue-resident microbiota by qPCR and 16S sequencing Yao, Bingqing Dong, Tingting Fu, Aikun Li, Hang Jiang, Chuhan Li, Nan Cai, Shang STAR Protoc Protocol The tissue-resident microbiota is an integral component of multiple tumor types, but it remains challenging to characterize its abundance and composition due to its low biomass. Here, we describe an optimized protocol for quantification and profiling of tissue-resident microbiota. The major optimized steps include DNA extraction, qPCR, 16S library construction, and bioinformatics analysis. This protocol enables robust and accurate characterization of the dynamics of normal and tumor tissue-resident microbiota at its physiological abundance from both mouse and human origins. For complete details on the use and execution of this protocol, please refer to Fu et al. (2022). Elsevier 2022-10-07 /pmc/articles/PMC9558047/ /pubmed/36209427 http://dx.doi.org/10.1016/j.xpro.2022.101765 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Yao, Bingqing
Dong, Tingting
Fu, Aikun
Li, Hang
Jiang, Chuhan
Li, Nan
Cai, Shang
Quantification and characterization of mouse and human tissue-resident microbiota by qPCR and 16S sequencing
title Quantification and characterization of mouse and human tissue-resident microbiota by qPCR and 16S sequencing
title_full Quantification and characterization of mouse and human tissue-resident microbiota by qPCR and 16S sequencing
title_fullStr Quantification and characterization of mouse and human tissue-resident microbiota by qPCR and 16S sequencing
title_full_unstemmed Quantification and characterization of mouse and human tissue-resident microbiota by qPCR and 16S sequencing
title_short Quantification and characterization of mouse and human tissue-resident microbiota by qPCR and 16S sequencing
title_sort quantification and characterization of mouse and human tissue-resident microbiota by qpcr and 16s sequencing
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558047/
https://www.ncbi.nlm.nih.gov/pubmed/36209427
http://dx.doi.org/10.1016/j.xpro.2022.101765
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