整体组学实用入门。

IF 4.3 Q1 BIOCHEMICAL RESEARCH METHODS Cell Reports Methods Pub Date : 2024-07-15 Epub Date: 2024-07-09 DOI:10.1016/j.crmeth.2024.100820
Iñaki Odriozola, Jacob A Rasmussen, M Thomas P Gilbert, Morten T Limborg, Antton Alberdi
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引用次数: 0

摘要

整体组学(Holo-omics)指的是对宿主-微生物群系统或整体生物体的非目标分子数据层进行联合研究,这种研究越来越多地被用来揭示组成宿主-微生物群系统或整体生物体的各要素之间复杂的相互作用。我们将通过生成、分析和整合 omics 数据,重点介绍生成和分析各种类型 omics 的共性和主要差异,尤其关注优化数据生成和整合。我们主张仔细生成和提炼数据,然后对单个 omic 层进行独立探索和分析,以便更好地了解研究系统,最后再尝试将多个 omic 层整合到最终模型中。我们强调了实现这一目标的关键决策点,并指出了解决有关宿主-微生物群关系综合研究的复杂生物学问题所面临的主要挑战。
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A practical introduction to holo-omics.

Holo-omics refers to the joint study of non-targeted molecular data layers from host-microbiota systems or holobionts, which is increasingly employed to disentangle the complex interactions between the elements that compose them. We navigate through the generation, analysis, and integration of omics data, focusing on the commonalities and main differences to generate and analyze the various types of omics, with a special focus on optimizing data generation and integration. We advocate for careful generation and distillation of data, followed by independent exploration and analyses of the single omic layers to obtain a better understanding of the study system, before the integration of multiple omic layers in a final model is attempted. We highlight critical decision points to achieve this aim and flag the main challenges to address complex biological questions regarding the integrative study of host-microbiota relationships.

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来源期刊
Cell Reports Methods
Cell Reports Methods Chemistry (General), Biochemistry, Genetics and Molecular Biology (General), Immunology and Microbiology (General)
CiteScore
3.80
自引率
0.00%
发文量
0
审稿时长
111 days
期刊最新文献
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