Yixuan Xie on Muck Rack

Yixuan Xie

As seen in: Rocky Mountain Collegian, Nature, Wiley Online Library, BMJ Open, MDPI, ACS Publications, Royal Society of Chemistry, Cell Press, Optica, LCGC Chromatography Online
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Articles

TGM2-mediated serotonylation of GPX4 confers ferroptosis resistance to promote gastric tumorigenesis

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By Junping Bai, Dandan Geng, Xinwen Chen, Xiaowei Wang, Luyang Tian, Yi Han, Zhao Jin, Yang Tang, Weisheng Hu, Chunxiao Zhu, Shan Zhang, Zhangting Zhao, Run Zhang, Xinru Zhang, WEI KANG, Sachiyo Nomura, Fenghua Guo, Shi Jiao, Yixuan Xie, Zhaocai Zhou, Chao Dong, Hui Li, Liwei An, Meihang Du, KaFai To
| Nature Verified
Abstract Protein monoaminylation represents a new layer of neural–cancer regulation, but its role in gastric tumorigenesis is not understood. Using untargeted plasma metabolomics, we revealed that the level of serotonin (5-HT) is significantly elevated in gastric cancer (GC) patients. Functionally, 5-HT treatment dramatically promoted GC cell proliferation and tumor growth in a dose-dependent manner.
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Bob Pirok on the Human Factor in Machine Learning for Automated Method Development

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By Yixuan Xie, John Chasse, Gauthier Eppe
| LCGC Chromatography Online Verified
News|Videos|April 16, 2026 At Pittcon 2026, LCGC International Emerging Leader Award Winner, Bob Pirok, emphasized the importance of incorporating chromatographic expertise into machine learning approaches for successful automated method development.
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AI/ML in Practice: Enhanced Identification Probability for Non-Targeted Workflows

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By Yixuan Xie, John Chasse, Gauthier Eppe
| LCGC Chromatography Online Verified
What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of retention time calibrants in your paper Machine Learning for Enhanced Identification Probability in RPLC/HRMS Nontargeted Workflows?1 The primary rationale was to address the critical challenge of securing high chemical identification confidence (IC) in non-targeted analysis (NTA)2,3,4,5,6 when retention time (RT) data is absent or non-transferable due to varying...
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