剖析心血管疾病的多维综合基因组学方法
Multidimensional Integrative Genomics Approaches to Dissecting Cardiovascular Disease.
作者信息
Arneson Douglas, Shu Le, Tsai Brandon, Barrere-Cain Rio, Sun Christine, Yang Xia
机构信息
Department of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, CA, USA; Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA.
Department of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, CA, USA; Molecular, Cellular, and Integrative Physiology Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA.
出版信息
Front Cardiovasc Med. 2017 Feb 27;4:8. doi: 10.3389/fcvm.2017.00008. eCollection 2017.
Elucidating the mechanisms of complex diseases such as cardiovascular disease (CVD) remains a significant challenge due to multidimensional alterations at molecular, cellular, tissue, and organ levels. To better understand CVD and offer insights into the underlying mechanisms and potential therapeutic strategies, data from multiple omics types (genomics, epigenomics, transcriptomics, metabolomics, proteomics, microbiomics) from both humans and model organisms have become available. However, individual omics data types capture only a fraction of the molecular mechanisms. To address this challenge, there have been numerous efforts to develop integrative genomics methods that can leverage multidimensional information from diverse data types to derive comprehensive molecular insights. In this review, we summarize recent methodological advances in multidimensional omics integration, exemplify their applications in cardiovascular research, and pinpoint challenges and future directions in this incipient field.
由于在分子、细胞、组织和器官水平上存在多维度改变，阐明心血管疾病（CVD）等复杂疾病的机制仍然是一项重大挑战。为了更好地理解CVD并深入了解其潜在机制和潜在治疗策略，来自人类和模式生物的多种组学类型（基因组学、表观基因组学、转录组学、代谢组学、蛋白质组学、微生物组学）的数据已经可用。然而，单个组学数据类型仅捕获了一部分分子机制。为了应对这一挑战，人们已经做出了许多努力来开发整合基因组学方法，这些方法可以利用来自不同数据类型的多维度信息来获得全面的分子见解。在这篇综述中，我们总结了多维度组学整合的最新方法进展，举例说明了它们在心血管研究中的应用，并指出了这个新兴领域的挑战和未来方向。
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