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Ultra-deep and quantitative saliva proteome reveals dynamics of the oral microbiome
BACKGROUND: The oral cavity is home to one of the most diverse microbial communities of the human body and a major entry portal for pathogens. Its homeostasis is maintained by saliva, which fulfills key functions including lubrication of food, pre-digestion, and bacterial defense. Consequently, disr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4841045/ https://www.ncbi.nlm.nih.gov/pubmed/27102203 http://dx.doi.org/10.1186/s13073-016-0293-0 |
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author | Grassl, Niklas Kulak, Nils Alexander Pichler, Garwin Geyer, Philipp Emanuel Jung, Jette Schubert, Sören Sinitcyn, Pavel Cox, Juergen Mann, Matthias |
author_facet | Grassl, Niklas Kulak, Nils Alexander Pichler, Garwin Geyer, Philipp Emanuel Jung, Jette Schubert, Sören Sinitcyn, Pavel Cox, Juergen Mann, Matthias |
author_sort | Grassl, Niklas |
collection | PubMed |
description | BACKGROUND: The oral cavity is home to one of the most diverse microbial communities of the human body and a major entry portal for pathogens. Its homeostasis is maintained by saliva, which fulfills key functions including lubrication of food, pre-digestion, and bacterial defense. Consequently, disruptions in saliva secretion and changes in the oral microbiome contribute to conditions such as tooth decay and respiratory tract infections. Here we set out to quantitatively map the saliva proteome in great depth with a rapid and in-depth mass spectrometry-based proteomics workflow. METHODS: We used recent improvements in mass spectrometry (MS)-based proteomics to develop a rapid workflow for mapping the saliva proteome quantitatively and at great depth. Standard clinical cotton swabs were used to collect saliva form eight healthy individuals at two different time points, allowing us to study inter-individual differences and interday changes of the saliva proteome. To accurately identify microbial proteins, we developed a method called “split by taxonomy id” that prevents peptides shared by humans and bacteria or between different bacterial phyla to contribute to protein identification. RESULTS: Microgram protein amounts retrieved from cotton swabs resulted in more than 3700 quantified human proteins in 100-min gradients or 5500 proteins after simple fractionation. Remarkably, our measurements also quantified more than 2000 microbial proteins from 50 bacterial genera. Co-analysis of the proteomics results with next-generation sequencing data from the Human Microbiome Project as well as a comparison to MALDI-TOF mass spectrometry on microbial cultures revealed strong agreement. The oral microbiome differs between individuals and changes drastically upon eating and tooth brushing. CONCLUSION: Rapid shotgun and robust technology can now simultaneously characterize the human and microbiome contributions to the proteome of a body fluid and is therefore a valuable complement to genomic studies. This opens new frontiers for the study of host–pathogen interactions and clinical saliva diagnostics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-016-0293-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4841045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48410452016-04-23 Ultra-deep and quantitative saliva proteome reveals dynamics of the oral microbiome Grassl, Niklas Kulak, Nils Alexander Pichler, Garwin Geyer, Philipp Emanuel Jung, Jette Schubert, Sören Sinitcyn, Pavel Cox, Juergen Mann, Matthias Genome Med Research BACKGROUND: The oral cavity is home to one of the most diverse microbial communities of the human body and a major entry portal for pathogens. Its homeostasis is maintained by saliva, which fulfills key functions including lubrication of food, pre-digestion, and bacterial defense. Consequently, disruptions in saliva secretion and changes in the oral microbiome contribute to conditions such as tooth decay and respiratory tract infections. Here we set out to quantitatively map the saliva proteome in great depth with a rapid and in-depth mass spectrometry-based proteomics workflow. METHODS: We used recent improvements in mass spectrometry (MS)-based proteomics to develop a rapid workflow for mapping the saliva proteome quantitatively and at great depth. Standard clinical cotton swabs were used to collect saliva form eight healthy individuals at two different time points, allowing us to study inter-individual differences and interday changes of the saliva proteome. To accurately identify microbial proteins, we developed a method called “split by taxonomy id” that prevents peptides shared by humans and bacteria or between different bacterial phyla to contribute to protein identification. RESULTS: Microgram protein amounts retrieved from cotton swabs resulted in more than 3700 quantified human proteins in 100-min gradients or 5500 proteins after simple fractionation. Remarkably, our measurements also quantified more than 2000 microbial proteins from 50 bacterial genera. Co-analysis of the proteomics results with next-generation sequencing data from the Human Microbiome Project as well as a comparison to MALDI-TOF mass spectrometry on microbial cultures revealed strong agreement. The oral microbiome differs between individuals and changes drastically upon eating and tooth brushing. CONCLUSION: Rapid shotgun and robust technology can now simultaneously characterize the human and microbiome contributions to the proteome of a body fluid and is therefore a valuable complement to genomic studies. This opens new frontiers for the study of host–pathogen interactions and clinical saliva diagnostics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-016-0293-0) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-21 /pmc/articles/PMC4841045/ /pubmed/27102203 http://dx.doi.org/10.1186/s13073-016-0293-0 Text en © Grassl et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Grassl, Niklas Kulak, Nils Alexander Pichler, Garwin Geyer, Philipp Emanuel Jung, Jette Schubert, Sören Sinitcyn, Pavel Cox, Juergen Mann, Matthias Ultra-deep and quantitative saliva proteome reveals dynamics of the oral microbiome |
title | Ultra-deep and quantitative saliva proteome reveals dynamics of the oral microbiome |
title_full | Ultra-deep and quantitative saliva proteome reveals dynamics of the oral microbiome |
title_fullStr | Ultra-deep and quantitative saliva proteome reveals dynamics of the oral microbiome |
title_full_unstemmed | Ultra-deep and quantitative saliva proteome reveals dynamics of the oral microbiome |
title_short | Ultra-deep and quantitative saliva proteome reveals dynamics of the oral microbiome |
title_sort | ultra-deep and quantitative saliva proteome reveals dynamics of the oral microbiome |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4841045/ https://www.ncbi.nlm.nih.gov/pubmed/27102203 http://dx.doi.org/10.1186/s13073-016-0293-0 |
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