Multi-omics analysis of thermogenic lipolysis in brown adipocytes

The integration of omics technologies into molecular biological research has transformed it into a field where a system can be investigated as a whole by combining information from multiple biochemical layers. This extension of traditional molecular biology, where various data sources are considered independently, offers novel insights into complex molecular interactions. Here, we present a multi-omics analysis of murine brown adipocytes undergoing thermogenic lipolysis, which is part of the non-shivering response to cold. Through combining information from multiple types of biomolecules, we describe what is important for each biochemical layer, and the system as a whole, at different time points. Furthermore, a classification of data integration approaches for multi-omics data analysis is presented.

组学（omics）技术与分子生物学研究的深度融合，已将该学科革新为可通过整合多生化层面信息开展系统整体性研究的前沿领域。相较于传统分子生物学中各数据源独立分析的研究模式，这一研究拓展方向为复杂分子相互作用的解析提供了全新视角。本研究针对经历产热脂解过程的小鼠棕色脂肪细胞开展多组学分析——该过程是机体应对寒冷时非战栗产热反应的组成部分。通过整合多类生物分子的信息，本研究阐明了不同时间节点下，各生化层面以及系统整体的关键调控要素。此外，本研究还针对多组学数据分析领域的数据整合方法构建了系统的分类体系。