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한국기초과학지원연구원

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Biopharmaceutical Mass Spectrometry Research Unit

Biopharmaceutical Mass Spectrometry Research Unit
  • Cancer diagnosis, biomarker discovery, and multi-omics research
  • Research on metabolic diseases and functional biomaterials
  • Mass spectrometry-based proteomic analysis and disease mechanism research
  • Characterization studies of next-generation biopharmaceuticals

Research Content

Integrated mass spectrometry platform for next-generation biopharmaceuticals and disease research

  • Performs cancer diagnostics, precise characterization of next-generation biopharmaceuticals (e.g., ADCs), and biomaterial marker analysis by integrating high-resolution mass spectrometry with advanced data interpretation technologies
  • Maximizes the efficiency and reproducibility of drug development through an integrated platform that connects sample preparation, mass spectrometry analysis, and data processing
Integrated analytical workflow (Sample to Insight)
시료 전처리 및 정밀 질량분석-바이오단백질, ADC, PTM  단백질,  단일세포/공간 단백체 등  다양한 시료 전처리 및  정성〮정량분석수행 / 다차원 정량 분석법 (DDA, DIA, TMT, PRM, MRM) - 고해상도 분석기술,  비표지 및 표지 정량분석,  동위원소 표준시료를  활용한  정량분석 / AI 및 소프트웨어 기반 데이터 처리 - MS Fragger, DIA-NN,  Spectronaut, GPA, pGlyco 등  분석법에 최적화 된  서치 엔진 활용 / 암 진단 및 바이오마커/멀티오믹스 - 엑소좀 분석과  PBNP-NLISA 기술을 활용한  난치성 암 조기 진단 및  표적발굴 / 차세대 바이오의약품 특성 분석 - 항체, ADC, 당단백질의 당쇄 이질성 및  이성질체 구조의  정밀 분석지원
  • Key data analysis software used across research fields.
Key data analysis software used across research fields.
Analysis data type Software used
DDA data Msfragger, MaxQuant, Proteome Discoverer
DIA data DIA-NN, Spectronaut
Glycoprotein GPA, pGlyco
Biopharmaceuticals, antibodies, ADCs UNIFI
PRM & MRM Skyline

Cancer diagnosis, biomarker discovery, and multi-omics research

  • Applies exosome multi-omics analysis technologies based on proteomics and exosome isolation techniques to develop diagnostic technologies for intractable cancers and to discover and validate cancer targets
  • Development of a high-sensitivity and user-friendly PBNP-NLISA analytical method for early biomarker diagnosis using colorectal cancer and adenoma clinical samples
Development of an early prediction technology for recurrence of triple-negative breast cancer through blood exosome proteomic analysis.

Journal of Extracellular Vesicles, 2025, Vol. 14 (IF=14.5, top 7% in JCR), June 2025.

Development of an early prediction technology for recurrence of triple-negative breast cancer through blood exosome proteomic analysis.

Research on metabolic diseases and functional biomaterials

  • Performs structural and functional studies by isolating metabolic disease marker compounds from functional biomaterials and analyzing them using MS/MS
MS/MS spectrum of nutmeg lignan compounds
MS/MS spectrum of nutmeg lignan compounds
Schematic diagram of PBNP-Ab conjugate preparation
Schematic diagram of PBNP-Ab conjugate preparation

Mass spectrometry-based proteomic analysis and disease mechanism research

  • Intracellular proteomic analysis for mass spectrometry-based drug development
  • Spatial proteomics analysis using small tissue samples at the single-cell level
  • Discovery of biomarkers through qualitative proteomic analysis of clinical samples (blood, tissue, urine) and enhanced quantification using isotope-labeled standard samples
  • Investigation of disease mechanisms through mass spectrometry-based analysis of post-translational modifications (phosphorylation and glycosylation) in proteomics
Elucidation of multi-organ damage induced by ischemia–reperfusion after cardiac arrest using proteomic mass spectrometry

Published in Journal of Pharmaceutical Analysis, Vol. 14 (2024), pp. 427–430 (IF=8.9, top 4.0% in JCR), September 2023

Elucidation of multi-organ damage induced by ischemia–reperfusion after cardiac arrest using proteomic mass spectrometry.

Characterization studies of next-generation biopharmaceuticals

  • Characterization of glycan heterogeneity in glycoprotein-based biopharmaceuticals through mass spectrometry analysis
  • Advancement of isomer separation and structural characterization of next-generation therapeutics by integrating high-resolution mass spectrometry with multidimensional separation techniques such as ion mobility
Best practices demonstrating successful linkage from basic research to global clinical and regulatory strategies and commercialization through industry support

Analysis and standardization of NEG-101 required for regulatory approval of a therapeutic for the rare muscle disease GNE myopathy

Best practices demonstrating successful linkage from basic research to global clinical and regulatory strategies and commercialization through industry support

Research Infrastructure

Possesses analytical infrastructure that integrates high-resolution and multidimensional mass spectrometry (LC-MS, MALDI-MS, Orbitrap, Cyclic IMS, etc.) with AI-based data interpretation technologies to enhance precise characterization of next-generation biopharmaceuticals such as antibodies, ADCs, and gene therapies, thereby maximizing the efficiency, precision, and reproducibility of drug development

  • The Biopharmaceutical Mass Spectrometry Research Unit (Cho Geon, Choi Jongsun, Jung Youngho, Lee Jooyeon, Yoon Sungho, Kim Minseon) has established an integrated analytical platform supporting biopharmaceutical characterization and proteomics analysis as well as academia–industry–research collaborations, thereby contributing to next-generation therapeutic development and rapid manufacturing while functioning as a global hub for biopharmaceutical analysis

Infrastructure and Research Overview of the Biopharmaceutical Mass Spectrometry Research Unit

Infrastructure and Research Overview of the Biopharmaceutical Mass Spectrometry Research Unit

Elucidation that metabolic changes during beige adipocyte differentiation reprogram translational regulation to drive differentiation-specific protein synthesis.

Nature Communications, IF=15.7, top 7.35% in JCR, April 2025

Elucidation that metabolic changes during beige adipocyte differentiation reprogram translational regulation to drive differentiation-specific protein synthesis.

Context-dependent splicing patterns of LAR-RPTP microexons determine circuit-specific synaptic specificity, enabling the elucidation of neural circuit structure and function through proteome profiling.

Nature Communications (2024) 15:1624, IF=15.7, top 7.35% in JCR, February 2024

Context-dependent splicing patterns of LAR-RPTP microexons determine circuit-specific synaptic specificity, enabling the elucidation of neural circuit structure and function through proteome profiling.

Identification of novel ligands that bind to “undruggable” targets through covalent ligand screening and their application to PROTAC design, suggesting the potential for selective degradation of target proteins (e.g., MDM2).

European Journal of Medicinal Chemistry 263 (2024) 115929, IF=5.9, top 13.9% in JCR, January 2024.

Identification of novel ligands that bind to “undruggable” targets through covalent ligand screening and their application to PROTAC design, suggesting the potential for selective degradation of target proteins (e.g., MDM2).

Introduction to characterization research for biopharmaceutical development

Introduction to characterization research for biopharmaceutical development

Schematic diagram of the glycoprotein antibody characterization support system

Schematic diagram of the glycoprotein antibody characterization support system

Advances in mass spectrometry-based approaches for monoclonal antibody characterization: structural complexity and analytical challenges.

Journal of Analytical Science and Technology 15, 23 (2024), IF=3.2, top 47.74% in JCR, April 2024. Front cover article

Advances in mass spectrometry-based approaches for monoclonal antibody characterization: structural complexity and analytical challenges.

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