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Hi, I'm Longping Fu πŸ‘‹

PhD candidate in Chemistry β€” 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 β€” one of the most common and important modifications β€” and I build site-specific, quantitative MS methods to analyze it, integrating complementary approaches for deeper insight into these modifications.

πŸ”¬ Research interests

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

πŸ“„ 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 Β· code Β· 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 β€” Google Scholar Β· ORCID

🧰 Open-source tools

πŸ€– Claude Code skills

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

πŸ› οΈ Skills

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

πŸ“¬ Get in touch

⚑ Fun fact

  • πŸ“– I enjoy reading and exercising in my free time
  • 🀝 Always open to discussions and collaborations β€” feel free to reach out! πŸš€

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