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Abstract：
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.
摘要：
开发了多脂肪-脂质-蛋白质-组学工作流程来表征健康小鼠的近端（PC）和远端（DC）结肠上皮内的分子相互作用。该多组数据集奠定了更好地理解这两种组织类型的基础，可用于研究，例如,结肠相关疾病，如结直肠癌或炎症性肠病。首先,优化了甲基叔丁基醚萃取方法,所以从单个组织活检>350个参考匹配的代谢物，>1850参考匹配的脂质，通过使用靶向和非靶向代谢组学检测到>4500种蛋白质，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.我们的数据表明，例如,粘蛋白形成的差异，在底物水平和酶水平上检测到，并通过检测将鞘磷脂水解为神经酰胺的磷脂酶来改变脂质代谢。总之,与每种单独的组学技术相比，三种基于质谱的组学技术的组合可以更好地纠缠PC和DC组织之间的功能和区域差异。
