Li Wei, Sun Jing, Sun Rui, Wei Yujuan, Zheng Junke, Zhu Yi, Guo Tiannan
Affiliated Hangzhou First People's Hospital, State Key Laboratory of Medical Proteomics, School of Medicine, Westlake University, Hangzhou, Zhejiang Province 310006, China.
Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang Province 310024, China.
Anal Chem. 2025 Jan 21;97(2):1190-1198. doi: 10.1021/acs.analchem.4c04421. Epub 2025 Jan 7.
The integrative multiomics characterization of minute amounts of clinical tissue specimens has become increasingly important. Here, we present an approach called Integral-Omics, which enables sequential extraction of metabolites, lipids, genomic DNA, total RNA, proteins, and phosphopeptides from a single biopsy-level tissue specimen. We benchmarked this method with various samples, applied the workflow to perform multiomics profiling of tissues from six patients with colorectal cancer, and found that tumor tissues exhibited suppressed ferroptosis pathways at multiomics levels. Together, this study presents a methodology that enables sequential extraction and profiling of metabolomics, lipidomics, genomics, transcriptomics, proteomics, and phosphoproteomics using biopsy tissue specimens.
对微量临床组织样本进行综合多组学表征变得越来越重要。在此，我们提出一种名为Integral-Omics的方法，该方法能够从单个活检级别的组织样本中依次提取代谢物、脂质、基因组DNA、总RNA、蛋白质和磷酸化肽段。我们用各种样本对该方法进行了基准测试，将该工作流程应用于对六名结直肠癌患者的组织进行多组学分析，发现肿瘤组织在多组学水平上表现出铁死亡途径受到抑制。总之，本研究提出了一种方法，该方法能够使用活检组织样本对代谢组学、脂质组学、基因组学、转录组学、蛋白质组学和磷酸蛋白质组学进行顺序提取和分析。
