Bone Trans-omics: Integrating Omics to Unveil Mechanistic Molecular Networks Regulating Bone Biology and Disease.

IF 4.2 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM Current Osteoporosis Reports Pub Date : 2023-10-01 Epub Date: 2023-07-06 DOI:10.1007/s11914-023-00812-8
Benjamin H Mullin, Amy B P Ribet, Nathan J Pavlos
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Abstract

Purpose of review: Recent advancements in "omics" technologies and bioinformatics have afforded researchers new tools to study bone biology in an unbiased and holistic way. The purpose of this review is to highlight recent studies integrating multi-omics data gathered from multiple molecular layers (i.e.; trans-omics) to reveal new molecular mechanisms that regulate bone biology and underpin skeletal diseases.

Recent findings: Bone biologists have traditionally relied on single-omics technologies (genomics, transcriptomics, proteomics, and metabolomics) to profile measureable differences (both qualitative and quantitative) of individual molecular layers for biological discovery and to investigate mechanisms of disease. Recently, literature has grown on the implementation of integrative multi-omics to study bone biology, which combines computational and informatics support to connect multiple layers of data derived from individual "omic" platforms. This emerging discipline termed "trans-omics" has enabled bone biologists to identify and construct detailed molecular networks, unveiling new pathways and unexpected interactions that have advanced our mechanistic understanding of bone biology and disease. While the era of trans-omics is poised to revolutionize our capacity to answer more complex and diverse questions pertinent to bone pathobiology, it also brings new challenges that are inherent when trying to connect "Big Data" sets. A concerted effort between bone biologists and interdisciplinary scientists will undoubtedly be needed to extract physiologically and clinically meaningful data from bone trans-omics in order to advance its implementation in the field.

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骨跨组学:整合组学以揭示调节骨生物学和疾病的机制分子网络。
综述目的:“组学”技术和生物信息学的最新进展为研究人员提供了新的工具,以公正和全面的方式研究骨骼生物学。这篇综述的目的是强调最近的研究,这些研究整合了从多个分子层(即反式组学)收集的多组学数据,以揭示调节骨骼生物学和支持骨骼疾病的新分子机制。最近的发现:骨生物学家传统上依靠单一组学技术(基因组学、转录组学、蛋白质组学和代谢组学)来分析单个分子层的可测量差异(定性和定量),以进行生物学发现和研究疾病机制。最近,关于整合多组学来研究骨生物学的文献越来越多,该方法结合了计算和信息学支持,将来自单个“组学”平台的多层数据连接起来。这门被称为“跨组学”的新兴学科使骨骼生物学家能够识别和构建详细的分子网络,揭示新的途径和意想不到的相互作用,促进了我们对骨骼生物学和疾病的机制理解。虽然跨组学时代将彻底改变我们回答与骨骼病理生物学相关的更复杂、更多样问题的能力,但它也带来了在尝试连接“大数据”集时固有的新挑战。毫无疑问,骨骼生物学家和跨学科科学家之间需要共同努力,从骨骼跨组学中提取具有生理和临床意义的数据,以推进其在该领域的实施。
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来源期刊
Current Osteoporosis Reports
Current Osteoporosis Reports Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
8.80
自引率
2.30%
发文量
44
期刊介绍: This journal intends to provide clear, insightful, balanced contributions by international experts that review the most important, recently published clinical findings related to the diagnosis, treatment, management, and prevention of osteoporosis. We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas, such as current and future therapeutics, epidemiology and pathophysiology, and evaluation and management. Section Editors, in turn, select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. An international Editorial Board reviews the annual table of contents, suggests articles of special interest to their country/region, and ensures that topics are current and include emerging research. Commentaries from well-known figures in the field are also provided.
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