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.