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 coordinated molecular responses across different layers at the system level, at different time points. Furthermore, a classification of data integration approaches for multi-omics data analysis is presented, and their applications in our study are compared, providing insights into the focus and effectiveness of these methods. Overall design: RNA-seq profiling of BMC cells, murine brown adipocytes, before- and at different time points after induction of thermogenic lipolysis by norepinephrine stimulation