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Hi, I'm Longping Fu 👋

PhD candidate in Chemistry — Georgia Tech (Wu Lab) Chemical biology & quantitative proteomics.

I study how protein modifications shape biological processes such as cellular signaling and immune recognition. Protein glycosylation is my starting point — one of the most common and important modifications — and I build site-specific, quantitative MS methods to analyze it, integrating complementary approaches for deeper insight into these modifications.

🔬 Research interests

  • Site-specific glycopeptide analysis across different biological models
  • Chemical and enzymatic method development for proteomics
  • Analytical instrumentation — including mass spectrometry — for deeper chemical and biological insight
  • New tools and concepts to push the boundaries of human knowledge

📄 Publications

  • Fu, L.; Yin, K.; Xu, X.; Wu, R. Systematic Quantification of Protein O-GlcNAcylation Reveals Common and Cell-Type-Specific Responses to N-Glycosylation Inhibition in Human Cells. Anal. Chem. 2026, 98, 15689–15699. DOI · code · interactive data browser
  • Fu, L.; Xu, X.; Wu, R. Mass Spectrometry-Based Proteomics Methods for Systematic Identification and Quantification of Protein O-Glycosylation in Complex Biological Samples (Review). J. Am. Soc. Mass Spectrom. 2026, 37, 1041–1063. DOI
  • Full publication list and citation metrics — Google Scholar · ORCID

🧰 Open-source tools

🤖 Claude Code skills

  • I build Claude Code skills and slash-commands that automate my glycoproteomics research — glycopeptide MS/MS spectrum annotation, quantitative (TMT) data analysis, and literature study — packaged as an installable agent toolkit for the lab. (Available on request.)

🛠️ Skills

Chemical biology · MS-based proteomics · Scientific programming (R & Python) · Agentic AI

📬 Get in touch

⚡ Fun fact

  • 📖 I enjoy reading and exercising in my free time
  • 🤝 Always open to discussions and collaborations — feel free to reach out! 🚀

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