脂质体
脂类学
代谢组
代谢组学
蛋白质组
蛋白质组学
转录组
计算生物学
液体活检
生物标志物发现
组学
化学
生物信息学
生物
生物化学
基因
癌症
遗传学
色谱法
基因表达
作者
Wei Li,Jing Ping Sun,Rui Sun,Yujuan Wei,Junke Zheng,Yi Zhu,Tiannan Guo
标识
DOI:10.1021/acs.analchem.4c04421
摘要
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.
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