Suppr超能文献

利用高分辨率质谱和三重四极杆质谱联用平台开发同位素代谢组学的伪靶向分析方法及其在HepG2细胞中C-葡萄糖示踪的应用

Development of pseudo-targeted profiling of isotopic metabolomics using combined platform of high resolution mass spectrometry and triple quadrupole mass spectrometry with application of C-glucose tracing in HepG2 cells.

作者信息

Wang Xueying, Luo Chengting, Xu Lina, Wang Yusong, Guo Lv Jun, Jiao Yupei, Deng Haiteng, Liu Xiaohui

机构信息

National Protein Science Facility (Beijing), Tsinghua University, China; School of Life Sciences, Tsinghua University, China.

School of Life Sciences, Tsinghua University, China.

出版信息

J Chromatogr A. 2023 May 10;1696:463923. doi: 10.1016/j.chroma.2023.463923. Epub 2023 Mar 21.

Abstract

Isotope tracing assisted metabolic analysis is becoming a unique tool to understand metabolic regulation in cell biology and biomedical research. Targeted mass spectrometry analysis based on selected reaction monitoring (SRM) has been widely applied in isotope tracing experiment with the advantages of high sensitivity and broad linearity. However, its application for new pathway discovery is largely restrained by molecular coverage. To overcome this limitation, we describe a strategy called pseudo-targeted profiling of isotopic metabolomics (PtPIM) to expand the analysis of isotope labeled metabolites beyond the limit of known pathways and chemical standards. Pseudo-targeted metabolomics was first established with ion transitions and retention times transformed from high resolution (orbitrap) mass spectrometry. Isotope labeled MRM transitions were then generated according to chemical formulas of fragments, which were derived from accurate ion masses acquired by HRMS. An in-house software "PseudoIsoMRM" was developed to simulate isotope labeled ion transitions in batch mode and correct the interference of natural isotopologues. This PtPIM strategy was successfully applied to study C-glucose traced HepG2 cells. As 313 molecules determined as analysis targets, a total of 4104 ion transitions were simulated to monitor C labeled metabolites in positive-negative switching mode of QQQ mass spectrometer with minimum dwell time of 0.3 ms achieved. A total of 68 metabolites covering glycolysis, TCA cycle, nucleotide biosynthesis, one-carbon metabolism and related derivatives were found to be labeled (> 2%) in HepG2 cells. Active pentose phosphate pathway was observed with diverse labeling status of glycolysis intermediates. Meanwhile, our PtPIM strategy revealed that rotenone severely suppressed mitochondrial function e.g. oxidative phosphorylation and fatty acid beta-oxidation. In this case, anaerobic respiration became the major source of energy metabolism by producing abundant lactate. Conclusively, the simulation based PtPIM method demonstrates a strategy to broaden metabolite coverage in isotope tracing analysis independent of standard chemicals.

摘要

同位素示踪辅助代谢分析正成为细胞生物学和生物医学研究中理解代谢调控的独特工具。基于选择反应监测(SRM)的靶向质谱分析凭借高灵敏度和宽线性范围的优势,已在同位素示踪实验中得到广泛应用。然而,其在新途径发现方面的应用在很大程度上受到分子覆盖范围的限制。为克服这一限制,我们描述了一种称为同位素代谢组学伪靶向分析(PtPIM)的策略,以将同位素标记代谢物的分析扩展到已知途径和化学标准的限制之外。伪靶向代谢组学首先通过从高分辨率(轨道阱)质谱转换而来的离子跃迁和保留时间建立。然后根据碎片的化学式生成同位素标记的MRM跃迁,这些碎片来自高分辨质谱获得的精确离子质量。开发了一个内部软件“PseudoIsoMRM”,以批处理模式模拟同位素标记的离子跃迁,并校正天然同位素异构体的干扰。这种PtPIM策略成功应用于研究C-葡萄糖示踪的HepG2细胞。作为确定为分析目标的313个分子,共模拟了4104个离子跃迁,以在QQQ质谱仪的正负切换模式下监测C标记的代谢物,实现了最小驻留时间为0.3毫秒。在HepG2细胞中发现共有68种代谢物被标记(>2%),涵盖糖酵解、三羧酸循环、核苷酸生物合成、一碳代谢及相关衍生物。观察到戊糖磷酸途径活跃,糖酵解中间产物具有不同的标记状态。同时,我们的PtPIM策略表明鱼藤酮严重抑制线粒体功能,如氧化磷酸化和脂肪酸β-氧化。在这种情况下,无氧呼吸通过产生大量乳酸成为能量代谢的主要来源。总之,基于模拟的PtPIM方法展示了一种在不依赖标准化学品的同位素示踪分析中拓宽代谢物覆盖范围的策略。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验