Emerging Trends for Microbiome Analysis: From Single-Cell Functional Imaging to Microbiome Big Data

Method development has always been and will continue to be a core driving force of microbiome science. In this perspective, we argue that in the next decade, method development in microbiome analysis will be driven by three key changes in both ways of thinking and technological platforms: ① a shift...

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Main Authors: Jian Xu, Bo Ma, Xiaoquan Su, Shi Huang, Xin Xu, Xuedong Zhou, Wei E. Huang, Rob Knight
Format: Article
Language:English
Published: Elsevier 2017-02-01
Series:Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2095809917301595
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author Jian Xu
Bo Ma
Xiaoquan Su
Shi Huang
Xin Xu
Xuedong Zhou
Wei E. Huang
Rob Knight
author_facet Jian Xu
Bo Ma
Xiaoquan Su
Shi Huang
Xin Xu
Xuedong Zhou
Wei E. Huang
Rob Knight
author_sort Jian Xu
collection DOAJ
description Method development has always been and will continue to be a core driving force of microbiome science. In this perspective, we argue that in the next decade, method development in microbiome analysis will be driven by three key changes in both ways of thinking and technological platforms: ① a shift from dissecting microbiota structure by sequencing to tracking microbiota state, function, and intercellular interaction via imaging; ② a shift from interrogating a consortium or population of cells to probing individual cells; and ③ a shift from microbiome data analysis to microbiome data science. Some of the recent method-development efforts by Chinese microbiome scientists and their international collaborators that underlie these technological trends are highlighted here. It is our belief that the China Microbiome Initiative has the opportunity to deliver outstanding “Made-in-China” tools to the international research community, by building an ambitious, competitive, and collaborative program at the forefront of method development for microbiome science.
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spelling doaj.art-ee6e12655d034aa8ba39103890cbd9412022-12-21T23:34:22ZengElsevierEngineering2095-80992017-02-0131667010.1016/J.ENG.2017.01.020Emerging Trends for Microbiome Analysis: From Single-Cell Functional Imaging to Microbiome Big DataJian Xu0Bo Ma1Xiaoquan Su2Shi Huang3Xin Xu4Xuedong Zhou5Wei E. Huang6Rob Knight7Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong 266101, ChinaSingle-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong 266101, ChinaSingle-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong 266101, ChinaSingle-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong 266101, ChinaState Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, ChinaState Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, ChinaDepartment of Engineering Science, University of Oxford, Oxford OX1 3PJ, UKCenter for Microbiome Innovation, Department of Pediatrics, Department of Computer Science and Engineering, University of California, San Diego, CA 92093, USAMethod development has always been and will continue to be a core driving force of microbiome science. In this perspective, we argue that in the next decade, method development in microbiome analysis will be driven by three key changes in both ways of thinking and technological platforms: ① a shift from dissecting microbiota structure by sequencing to tracking microbiota state, function, and intercellular interaction via imaging; ② a shift from interrogating a consortium or population of cells to probing individual cells; and ③ a shift from microbiome data analysis to microbiome data science. Some of the recent method-development efforts by Chinese microbiome scientists and their international collaborators that underlie these technological trends are highlighted here. It is our belief that the China Microbiome Initiative has the opportunity to deliver outstanding “Made-in-China” tools to the international research community, by building an ambitious, competitive, and collaborative program at the forefront of method development for microbiome science.http://www.sciencedirect.com/science/article/pii/S2095809917301595MicrobiomeMethod developmentSingle-cell analysisBig dataChina Microbiome Initiative
spellingShingle Jian Xu
Bo Ma
Xiaoquan Su
Shi Huang
Xin Xu
Xuedong Zhou
Wei E. Huang
Rob Knight
Emerging Trends for Microbiome Analysis: From Single-Cell Functional Imaging to Microbiome Big Data
Engineering
Microbiome
Method development
Single-cell analysis
Big data
China Microbiome Initiative
title Emerging Trends for Microbiome Analysis: From Single-Cell Functional Imaging to Microbiome Big Data
title_full Emerging Trends for Microbiome Analysis: From Single-Cell Functional Imaging to Microbiome Big Data
title_fullStr Emerging Trends for Microbiome Analysis: From Single-Cell Functional Imaging to Microbiome Big Data
title_full_unstemmed Emerging Trends for Microbiome Analysis: From Single-Cell Functional Imaging to Microbiome Big Data
title_short Emerging Trends for Microbiome Analysis: From Single-Cell Functional Imaging to Microbiome Big Data
title_sort emerging trends for microbiome analysis from single cell functional imaging to microbiome big data
topic Microbiome
Method development
Single-cell analysis
Big data
China Microbiome Initiative
url http://www.sciencedirect.com/science/article/pii/S2095809917301595
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