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Computational Modeling of the Human Microbiome
The impact of microorganisms on human health has long been acknowledged and studied, but recent advances in research methodologies have enabled a new systems-level perspective on the collections of microorganisms associated with humans, the human microbiome. Large-scale collaborative efforts such as...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7074762/ https://www.ncbi.nlm.nih.gov/pubmed/32023941 http://dx.doi.org/10.3390/microorganisms8020197 |
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author | Chowdhury, Shomeek Fong, Stephen S. |
author_facet | Chowdhury, Shomeek Fong, Stephen S. |
author_sort | Chowdhury, Shomeek |
collection | PubMed |
description | The impact of microorganisms on human health has long been acknowledged and studied, but recent advances in research methodologies have enabled a new systems-level perspective on the collections of microorganisms associated with humans, the human microbiome. Large-scale collaborative efforts such as the NIH Human Microbiome Project have sought to kick-start research on the human microbiome by providing foundational information on microbial composition based upon specific sites across the human body. Here, we focus on the four main anatomical sites of the human microbiome: gut, oral, skin, and vaginal, and provide information on site-specific background, experimental data, and computational modeling. Each of the site-specific microbiomes has unique organisms and phenomena associated with them; there are also high-level commonalities. By providing an overview of different human microbiome sites, we hope to provide a perspective where detailed, site-specific research is needed to understand causal phenomena that impact human health, but there is equally a need for more generalized methodology improvements that would benefit all human microbiome research. |
format | Online Article Text |
id | pubmed-7074762 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70747622020-03-20 Computational Modeling of the Human Microbiome Chowdhury, Shomeek Fong, Stephen S. Microorganisms Review The impact of microorganisms on human health has long been acknowledged and studied, but recent advances in research methodologies have enabled a new systems-level perspective on the collections of microorganisms associated with humans, the human microbiome. Large-scale collaborative efforts such as the NIH Human Microbiome Project have sought to kick-start research on the human microbiome by providing foundational information on microbial composition based upon specific sites across the human body. Here, we focus on the four main anatomical sites of the human microbiome: gut, oral, skin, and vaginal, and provide information on site-specific background, experimental data, and computational modeling. Each of the site-specific microbiomes has unique organisms and phenomena associated with them; there are also high-level commonalities. By providing an overview of different human microbiome sites, we hope to provide a perspective where detailed, site-specific research is needed to understand causal phenomena that impact human health, but there is equally a need for more generalized methodology improvements that would benefit all human microbiome research. MDPI 2020-01-31 /pmc/articles/PMC7074762/ /pubmed/32023941 http://dx.doi.org/10.3390/microorganisms8020197 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Chowdhury, Shomeek Fong, Stephen S. Computational Modeling of the Human Microbiome |
title | Computational Modeling of the Human Microbiome |
title_full | Computational Modeling of the Human Microbiome |
title_fullStr | Computational Modeling of the Human Microbiome |
title_full_unstemmed | Computational Modeling of the Human Microbiome |
title_short | Computational Modeling of the Human Microbiome |
title_sort | computational modeling of the human microbiome |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7074762/ https://www.ncbi.nlm.nih.gov/pubmed/32023941 http://dx.doi.org/10.3390/microorganisms8020197 |
work_keys_str_mv | AT chowdhuryshomeek computationalmodelingofthehumanmicrobiome AT fongstephens computationalmodelingofthehumanmicrobiome |