Faculty of Biology, Medicine and Health, Division of Cell Matrix Biology and Regenerative Medicine, University of Manchester, Manchester, M13 9PL, UK.
Faculty of Biology, Medicine and Health, Research and Innovation, University of Manchester, Manchester, M13 9PG, UK.
Sci Rep. 2024 Jul 30;14(1):17477. doi: 10.1038/s41598-024-67104-8.
The combination of multi-omic techniques, such as genomics, transcriptomics, proteomics, metabolomics and epigenomics, has revolutionised studies in medical research. These techniques are employed to support biomarker discovery, better understand molecular pathways and identify novel drug targets. Despite concerted efforts in integrating omic datasets, there is an absence of protocols that integrate all four biomolecules in a single extraction process. Here, we demonstrate for the first time a minimally destructive integrated protocol for the simultaneous extraction of artificially degraded DNA, proteins, lipids and metabolites from pig brain samples. We used an MTBE-based approach to separate lipids and metabolites, followed by subsequent isolation of DNA and proteins. We have validated this protocol against standalone extraction protocols and show comparable or higher yields of all four biomolecules. This integrated protocol is key to facilitating the preservation of irreplaceable samples while promoting downstream analyses and successful data integration by removing bias from univariate dataset noise and varied distribution characteristics.
多组学技术(如基因组学、转录组学、蛋白质组学、代谢组学和表观基因组学)的结合极大地推动了医学研究的发展。这些技术被用于支持生物标志物的发现,更好地理解分子途径,并确定新的药物靶点。尽管在整合组学数据集方面做出了协同努力,但缺乏将所有四种生物分子整合到单个提取过程中的方案。在这里,我们首次展示了一种微创性的综合方案,用于从猪脑样本中同时提取人工降解的 DNA、蛋白质、脂质和代谢物。我们使用基于 MTBE 的方法来分离脂质和代谢物,然后随后分离 DNA 和蛋白质。我们已经通过与独立提取方案进行对比,证明了该方案对所有四种生物分子的产量具有可比性甚至更高。这种综合方案对于促进不可替代样本的保存至关重要,同时通过消除单变量数据集噪声和不同分布特征带来的偏差,促进下游分析和成功的数据整合。