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The Application of High-Throughput Technologies for the Study of Microbiome and Cancer
Human gut microbiome research, especially gut microbiome, has been developing at a considerable pace over the last decades, driven by a rapid technological advancement. The emergence of high-throughput technologies, such as genomics, transcriptomics, and others, has afforded the generation of large...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355622/ https://www.ncbi.nlm.nih.gov/pubmed/34394190 http://dx.doi.org/10.3389/fgene.2021.699793 |
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author | Wei, Lu Qi Cheong, Io Hong Yang, Guang Huan Li, Xiao Guang Kozlakidis, Zisis Ding, Lei Liu, Ning Ning Wang, Hui |
author_facet | Wei, Lu Qi Cheong, Io Hong Yang, Guang Huan Li, Xiao Guang Kozlakidis, Zisis Ding, Lei Liu, Ning Ning Wang, Hui |
author_sort | Wei, Lu Qi |
collection | PubMed |
description | Human gut microbiome research, especially gut microbiome, has been developing at a considerable pace over the last decades, driven by a rapid technological advancement. The emergence of high-throughput technologies, such as genomics, transcriptomics, and others, has afforded the generation of large volumes of data, and in relation to specific pathologies such as different cancer types. The current review identifies high-throughput technologies as they have been implemented in the study of microbiome and cancer. Four main thematic areas have emerged: the characterization of microbial diversity and composition, microbial functional analyses, biomarker prediction, and, lastly, potential therapeutic applications. The majority of studies identified focus on the microbiome diversity characterization, which is reaching technological maturity, while the remaining three thematic areas could be described as emerging. |
format | Online Article Text |
id | pubmed-8355622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83556222021-08-12 The Application of High-Throughput Technologies for the Study of Microbiome and Cancer Wei, Lu Qi Cheong, Io Hong Yang, Guang Huan Li, Xiao Guang Kozlakidis, Zisis Ding, Lei Liu, Ning Ning Wang, Hui Front Genet Genetics Human gut microbiome research, especially gut microbiome, has been developing at a considerable pace over the last decades, driven by a rapid technological advancement. The emergence of high-throughput technologies, such as genomics, transcriptomics, and others, has afforded the generation of large volumes of data, and in relation to specific pathologies such as different cancer types. The current review identifies high-throughput technologies as they have been implemented in the study of microbiome and cancer. Four main thematic areas have emerged: the characterization of microbial diversity and composition, microbial functional analyses, biomarker prediction, and, lastly, potential therapeutic applications. The majority of studies identified focus on the microbiome diversity characterization, which is reaching technological maturity, while the remaining three thematic areas could be described as emerging. Frontiers Media S.A. 2021-07-28 /pmc/articles/PMC8355622/ /pubmed/34394190 http://dx.doi.org/10.3389/fgene.2021.699793 Text en Copyright © 2021 Wei, Cheong, Yang, Li, Kozlakidis, Ding, Liu and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Wei, Lu Qi Cheong, Io Hong Yang, Guang Huan Li, Xiao Guang Kozlakidis, Zisis Ding, Lei Liu, Ning Ning Wang, Hui The Application of High-Throughput Technologies for the Study of Microbiome and Cancer |
title | The Application of High-Throughput Technologies for the Study of Microbiome and Cancer |
title_full | The Application of High-Throughput Technologies for the Study of Microbiome and Cancer |
title_fullStr | The Application of High-Throughput Technologies for the Study of Microbiome and Cancer |
title_full_unstemmed | The Application of High-Throughput Technologies for the Study of Microbiome and Cancer |
title_short | The Application of High-Throughput Technologies for the Study of Microbiome and Cancer |
title_sort | application of high-throughput technologies for the study of microbiome and cancer |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355622/ https://www.ncbi.nlm.nih.gov/pubmed/34394190 http://dx.doi.org/10.3389/fgene.2021.699793 |
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