Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts; The Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts.
Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts; The Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts.
Gastroenterology. 2014 May;146(6):1437-1448.e1. doi: 10.1053/j.gastro.2014.01.049. Epub 2014 Jan 28.
Nucleotide sequencing has become increasingly common and affordable, and is now a vital tool for studies of the human microbiome. Comprehensive microbial community surveys such as MetaHit and the Human Microbiome Project have described the composition and molecular functional profile of the healthy (normal) intestinal microbiome. This knowledge will increase our ability to analyze host and microbial DNA (genome) and RNA (transcriptome) sequences. Bioinformatic and statistical tools then can be used to identify dysbioses that might cause disease, and potential treatments. Analyses that identify perturbations in specific molecules can leverage thousands of culture-based isolate genomes to contextualize culture-independent sequences, or may integrate sequence data with whole-community functional assays such as metaproteomic or metabolomic analyses. We review the state of available systems-level models for studies of the intestinal microbiome, along with analytic techniques and tools that can be used to determine its functional capabilities in healthy and unhealthy individuals.
核苷酸测序已经变得越来越普遍和实惠,现在是研究人类微生物组的重要工具。全面的微生物群落调查,如 MetaHit 和人类微生物组计划,已经描述了健康(正常)肠道微生物组的组成和分子功能特征。这一知识将提高我们分析宿主和微生物 DNA(基因组)和 RNA(转录组)序列的能力。然后可以使用生物信息学和统计工具来识别可能导致疾病的微生物失调,并找到潜在的治疗方法。分析确定特定分子的扰动可以利用数千个基于培养的分离物基因组来使非培养序列具体化,或者可以将序列数据与全社区功能测定(如宏蛋白质组学或代谢组学分析)相结合。我们回顾了目前用于研究肠道微生物组的系统水平模型的状态,以及可用于确定健康和不健康个体的其功能能力的分析技术和工具。
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