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Assessing the Dark Field of Metaproteome

[Image: see text] The human gut microbiome is a complex system composed of hundreds of species, and metaproteomics can be used to explore their expressed functions. However, many lower abundance species are not detected by current metaproteomic techniques and represent the dark field of metaproteomi...

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Autores principales: Duan, Haonan, Cheng, Kai, Ning, Zhibin, Li, Leyuan, Mayne, Janice, Sun, Zhongzhi, Figeys, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9670033/
https://www.ncbi.nlm.nih.gov/pubmed/36327159
http://dx.doi.org/10.1021/acs.analchem.2c02452
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author Duan, Haonan
Cheng, Kai
Ning, Zhibin
Li, Leyuan
Mayne, Janice
Sun, Zhongzhi
Figeys, Daniel
author_facet Duan, Haonan
Cheng, Kai
Ning, Zhibin
Li, Leyuan
Mayne, Janice
Sun, Zhongzhi
Figeys, Daniel
author_sort Duan, Haonan
collection PubMed
description [Image: see text] The human gut microbiome is a complex system composed of hundreds of species, and metaproteomics can be used to explore their expressed functions. However, many lower abundance species are not detected by current metaproteomic techniques and represent the dark field of metaproteomics. We do not know the minimal abundance of a bacterium in a microbiome(depth) that can be detected by shotgun metaproteomics. In this study, we spiked (15)N-labeled E. coli peptides at different percentages into peptides mixture derived from the human gut microbiome to evaluate the depth that can be achieved by shotgun metaproteomics. We observed that the number of identified peptides and peptide intensity from (15)N-labeled E. coli were linearly correlated with the spike-in levels even when (15)N-labeled E. coli was down to 0.5% of the biomass. Below that level, it was not detected. Interestingly, the match-between-run strategy significantly increased the number of quantified peptides even when (15)N-labeled E. coli peptides were at low abundance. This is indicative that in metaproteomics of complex gut microbiomes many peptides from low abundant species are likely observable in MS1 but are not selected for MS2 by standard shotgun strategies.
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spelling pubmed-96700332022-11-18 Assessing the Dark Field of Metaproteome Duan, Haonan Cheng, Kai Ning, Zhibin Li, Leyuan Mayne, Janice Sun, Zhongzhi Figeys, Daniel Anal Chem [Image: see text] The human gut microbiome is a complex system composed of hundreds of species, and metaproteomics can be used to explore their expressed functions. However, many lower abundance species are not detected by current metaproteomic techniques and represent the dark field of metaproteomics. We do not know the minimal abundance of a bacterium in a microbiome(depth) that can be detected by shotgun metaproteomics. In this study, we spiked (15)N-labeled E. coli peptides at different percentages into peptides mixture derived from the human gut microbiome to evaluate the depth that can be achieved by shotgun metaproteomics. We observed that the number of identified peptides and peptide intensity from (15)N-labeled E. coli were linearly correlated with the spike-in levels even when (15)N-labeled E. coli was down to 0.5% of the biomass. Below that level, it was not detected. Interestingly, the match-between-run strategy significantly increased the number of quantified peptides even when (15)N-labeled E. coli peptides were at low abundance. This is indicative that in metaproteomics of complex gut microbiomes many peptides from low abundant species are likely observable in MS1 but are not selected for MS2 by standard shotgun strategies. American Chemical Society 2022-11-03 2022-11-15 /pmc/articles/PMC9670033/ /pubmed/36327159 http://dx.doi.org/10.1021/acs.analchem.2c02452 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Duan, Haonan
Cheng, Kai
Ning, Zhibin
Li, Leyuan
Mayne, Janice
Sun, Zhongzhi
Figeys, Daniel
Assessing the Dark Field of Metaproteome
title Assessing the Dark Field of Metaproteome
title_full Assessing the Dark Field of Metaproteome
title_fullStr Assessing the Dark Field of Metaproteome
title_full_unstemmed Assessing the Dark Field of Metaproteome
title_short Assessing the Dark Field of Metaproteome
title_sort assessing the dark field of metaproteome
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9670033/
https://www.ncbi.nlm.nih.gov/pubmed/36327159
http://dx.doi.org/10.1021/acs.analchem.2c02452
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