Top Trends in Multiomics Research: Evaluation of 52 Published Studies and New Ways of Thinking Terminology and Visual Displays
Top Trends in Multiomics Research: Evaluation of 52 Published Studies and New Ways of Thinking Terminology and Visual Displays
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DOI：
10.1089/omi.2021.0160
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发表时间：
2021-10-22
影响因子：
3.3
通讯作者：
Kunej，Tanja
中科院分区：
文献类型：
--
作者：
Kolenc，Ziva;Pirih，Nina;Kunej，Tanja
多组学研究设计大大增加了对复杂生物系统的理解。多组学文献正在迅速扩大，它们的异质性也在迅速扩大。然而，组学数据的复杂性和碎片性阻碍了进一步的研究。为了研究多组学领域的当前趋势，我们回顾了2006年3月至2021年1月期间发表的52篇使用综合组学方法的PubMed和Web of Science文章。从研究中，根据标准化术语提取、整理和精简了有关所调查基因座、物种、组学类型和表型的数据，并将其总结为先前开发的图形摘要。评估的研究包括21种组学类型或组学技术的应用，如基因组学、转录组学、代谢组学、表观基因组学、环境组学和药物基因组学，包括人类、小鼠、拟南芥、酿酒酵母在内的各种门的物种，以及包括癌症和COVID-19在内的各种表型。在分析的研究中，使用了不同的方法、方案、结果和术语，因此，对研究的评估具有挑战性。未来采用标准化的多组学数据表示将进一步支持系统科学术语和结果报告的标准化。我们认为，这将促进科学传播和检验医学的创新，使科学知识更容易掌握、分享和利用，从而实现医学突破。
Multiomics study designs have significantly increased understanding of complex biological systems. The multiomics literature is rapidly expanding and so is their heterogeneity. However, the intricacy and fragmentation of omics data are impeding further research. To examine current trends in multiomics field, we reviewed 52 articles from PubMed and Web of Science, which used an integrated omics approach, published between March 2006 and January 2021. From studies, data regarding investigated loci, species, omics type, and phenotype were extracted, curated, and streamlined according to standardized terminology, and summarized in a previously developed graphical summary. Evaluated studies included 21 omics types or applications of omics technology such as genomics, transcriptomics, metabolomics, epigenomics, environmental omics, and pharmacogenomics, species of various phyla including human, mouse,Arabidopsis thaliana,Saccharomyces cerevisiae, and various phenotypes, including cancer and COVID-19. In the analyzed studies, diverse methods, protocols, results, and terminology were used and accordingly, assessment of the studies was challenging. Adoption of standardized multiomics data presentation in the future will further buttress standardization of terminology and reporting of results in systems science. This shall catalyze, we suggest, innovation in both science communication and laboratory medicine by making available scientific knowledge that is easier to grasp, share, and harness toward medical breakthroughs.