Institute of Molecular Systems Biology, ETH Zurich, Otto-Stern-Weg 3, CH-8093, Zurich, Switzerland.
Nat Commun. 2019 Apr 23;10(1):1841. doi: 10.1038/s41467-019-09695-9.
Transcriptional reprogramming of cellular metabolism is a hallmark of cancer. However, systematic approaches to study the role of transcriptional regulators (TRs) in mediating cancer metabolic rewiring are missing. Here, we chart a genome-scale map of TR-metabolite associations in human cells using a combined computational-experimental framework for large-scale metabolic profiling of adherent cell lines. By integrating intracellular metabolic profiles of 54 cancer cell lines with transcriptomic and proteomic data, we unraveled a large space of associations between TRs and metabolic pathways. We found a global regulatory signature coordinating glucose- and one-carbon metabolism, suggesting that regulation of carbon metabolism in cancer may be more diverse and flexible than previously appreciated. Here, we demonstrate how this TR-metabolite map can serve as a resource to predict TRs potentially responsible for metabolic transformation in patient-derived tumor samples, opening new opportunities in understanding disease etiology, selecting therapeutic treatments and in designing modulators of cancer-related TRs.
细胞代谢的转录重编程是癌症的一个标志。然而,系统的方法来研究转录调节因子(TRs)在介导癌症代谢重排中的作用仍然缺失。在这里,我们使用一种组合的计算实验框架,对贴壁细胞系进行大规模代谢谱分析,绘制了人类细胞中 TR-代谢物关联的全基因组图谱。通过整合 54 种癌细胞系的细胞内代谢谱、转录组和蛋白质组数据,我们揭示了 TRs 和代谢途径之间存在大量关联。我们发现了一个协调葡萄糖和一碳代谢的全局调控特征,表明癌症中碳代谢的调节可能比以前认为的更加多样化和灵活。在这里,我们展示了这个 TR-代谢物图谱如何作为一个资源来预测可能导致患者来源的肿瘤样本中代谢转化的 TRs,为理解疾病病因、选择治疗方法以及设计与癌症相关的 TR 调节剂开辟了新的机会。