A practical introduction to holo-omics

作者：Iñaki Odriozola, Jacob Agerbo Rasmussen, M. Thomas P. Gilbert, Morten T. Limborg, Antton Alberdi · 发表于：Cell Reports Methods · 年份：2024 · DOI：10.1016/j.crmeth.2024.100820 · 被引用次数：13 · 研究领域：Bioinformatics and Genomic Networks、Metabolomics and Mass Spectrometry Studies、Microbial Metabolic Engineering and Bioproduction

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.