Proteomics

Advancing proteomics for precision medicine and drug discovery.

RESEARCH CONSOLE
NEWS
  • 2026.02.05 Successfully defended Ph.D. dissertation at Kumamoto University.
DIA-MSMS Acquisition
TerminomicsProteolytic Data
CancerApplication
Pharmaceutics

RESEARCH AREAS

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DIA-MSMS Acquisition
TerminomicsProteolytic Data
Cancer
Pharmaceutics

RESEARCH: DIA

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RESEARCH: Terminomics

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RESEARCH: Cancer

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Pharmaceutics

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ABOUT ME

Portrait

// EDUCATION

Kumamoto Univ
2022 – 2026
Hebei Med Univ
2018 – 2021

PUBLICATIONS

Journal Cover

Evaluation of the False Discovery Rate in Library-Free Search by DIA-NN Using In Vitro Human Proteome

Journal of Proteome Research (2025)
Kongxin Gu, Masanaga Kenko, Koji Ogawa, Naoki Goshima, Takeshi Masuda, Shingo Ito, Sumio Ohtsuki*.

// Impact: This study establishes a rigorous DIA FDR evaluation method by synthesizing recombinant proteins, providing a benchmark dataset for software optimization.

View Paper ↗ Citations: -
Journal Cover

Improving Proteomic Identification Using Narrow Isolation Windows with Zeno SWATH Data-Independent Acquisition

Journal of Proteome Research (2024)
Kongxin Gu, Haruka Kumabe, Takumi Yamamoto, Naoto Tashiro, Takeshi Masuda, Shingo Ito, Sumio Ohtsuki*.

// Impact: The study developed an optimized narrow windows DIA that substantially boosts proteomic coverage and sensitivity (with a 40% improvement at low loading amounts) without compromising quantitative robustness.

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OTHERS

// JOURNALS

// ANALYSIS & TOOLS

// RESEARCH RESOURCES

// LEARNING

// COMMUNITIES & MEDIA

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CONTACT

Feel free to reach out for collaboration.

gukongxin [at] outlook.com
231y2011 [at] st.kumamoto-u.ac.jp

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