Novel Time-dependent Multi-omics Integration in Sepsis-associated Liver Dysfunction
作者机构：Research Institute of Pharmaceutical SciencesKyungpook National UniversityDaegu 41566Republic of Korea Department of Environmental EngineeringSeoul National University of Science and TechnologySeoul 01811Republic of Korea BK21 FOUR Community-Based Intelligent Novel Drug Discovery Education UnitCollege of PharmacyKyungpook National UniversityDaegu 41566Republic of Korea School of PharmacySungkyunkwan UniversitySuwon 16419Republic of Korea
出 版 物：《Genomics, Proteomics & Bioinformatics》 (基因组蛋白质组与生物信息学报（英文版）)
年 卷 期：2023年第21卷第6期
页 面：1101-1116页
核心收录：
学科分类：0710[理学-生物学] 0831[工学-生物医学工程（可授工学、理学、医学学位）] 0711[理学-系统科学] 07[理学] 08[工学]
主 题：Multi-omics Omics technology Sepsis-associated liver dysfunction Single omics Time-dependent integration
摘 要：The recently developed technologies that allow the analysis of each single omics have provided an unbiased insight into ongoing disease ***,it remains challenging to specify the study design for the subsequent integration strategies that can associate sepsis pathophysiology and clinical ***,we conducted a time-dependent multi-omics integration(TDMI)in a sepsis-associated liver dysfunction(SALD)*** successfully deduced the relation of the Toll-like receptor 4(TLR4)pathway with *** TLR4 is a critical factor in sepsis progression,it is not specified in single-omics analyses but only in the TDMI *** finding indicates that the TDMI-based approach is more advantageous than single-omics analyses in terms of exploring the underlying pathophysiological mechanism of ***,TDMI-based approach can be an ideal paradigm for insightful biological interpretations of multi-omics datasets that will potentially reveal novel insights into basic biology,health,and diseases,thus allowing the identification of promising candidates for therapeutic strategies.
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