开发了多代谢脂质蛋白质组学工作流程来表征健康小鼠近端 (PC) 和远端 (DC) 结肠上皮内的分子相互作用。该多组学数据集为更好地了解这两种组织类型奠定了基础，并可用于研究结肠相关疾病，例如结直肠癌或炎症性肠病。首先，优化甲基叔丁基醚提取方法，利用靶向和非靶向代谢组学、非靶向脂质组学、和蛋白质组学。接下来，对每个组学数据集进行单独分析，然后与其他组学学科合并，以深入了解结肠内潜在的复杂调控网络。例如，我们的数据表明，在底物水平和酶水平上检测到的粘蛋白形成的差异，以及通过检测将鞘磷脂水解为神经酰胺的磷脂酶而改变的脂质代谢。总之，与每种单一组学技术相比，三种基于质谱的组学技术的组合可以更好地揭示 PC 和 DC 组织之间的功能和区域差异。

A multimetabo-lipid-prote-omics workflow was developed to characterize the molecular interplay within proximal (PC) and distal (DC) colonic epithelium of healthy mice. This multiomics data set lays the foundation to better understand the two tissue types and can be used to study, for example, colon-related diseases like colorectal cancer or inflammatory bowel disease. First, the methyl tert-butyl ether extraction method was optimized, so that from a single tissue biopsy >350 reference-matched metabolites, >1850 reference-matched lipids, and >4500 proteins were detected by using targeted and untargeted metabolomics, untargeted lipidomics, and proteomics. Next, each omics-data set was analyzed individually and then merged with the additional omics disciplines to generate a deep understanding of the underlying complex regulatory network within the colon. Our data demonstrates, for example, differences in mucin formation, detected on substrate level as well as on enzyme level, and altered lipid metabolism by the detection of phospholipases hydrolyzing sphingomyelins to ceramides. In conclusion, the combination of the three mass spectrometry-based omics techniques can better entangle the functional and regional differences between PC and DC tissue compared to each single omics technique.