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長庚大學

Nguyen Phuoc Long (阮福龍)

JobTitle: MD, PhD

CurrentJob: Assistant Professor

E-mail: phuoclong@mail.cgu.edu.tw

Phone: 03-2353535 ext. 5880

Education: Seoul National University (South Korea)

Expertise: Multi-Omics for Health and Smart Medicine and Machine Learning/AI

Website: https://pharmacoomics.com/

Research interests:

I explore the molecular mechanisms of human metabolic diseases (in the broad sense), discover clinically relevant biomarkers, and develop personalized treatment strategies. I have played a key role in several national and international scientific initiatives that have led to significant advancements in precision medicine. Currently, I lead a collaborative team at the Pharmaco-Omics Lab. We conduct a range of multi-omics-empowered translational and clinical research. We have a strong history of effectively collaborating with scientists from diverse backgrounds, spanning from laboratory research to clinical implementation.

Research directions and laboratory features

At The Pharmaco-Omics Lab, we explore the molecular mechanisms of human diseases to discover clinically relevant biomarkers and develop personalized treatment strategies. We employ comprehensive multi-modal approaches that bridge the gap between different biological layers:

  • Bulk multi-omics: Integrate genomics, transcriptomics, proteomics, metabolomics, and microbiomics.
  • Single-cell & spatial multi-omics: Map cellular diversity and architectural context within tissues.
  • Medical imaging and radiomics: Correlate molecular signatures with clinical imaging data to provide a comprehensive view of disease progression.
  • Machine Learning modeling and artificial Intelligence: Develop omics-enabled clinical decision support systems.
  • Bioinformatics app development: Facilitate the adaptation and effective implementation of omics-related findings. 

Selected Publications (Recent 5 years):

Tien NTN, Yen NTH, Phat NK, Anh NK, Thu NQ, Eunsu C, Kim HS, Hoa VD, Nguyen DN, Kim DH, Oh JY, Long NP. Multiomics and Machine Learning Identify Immunometabolic Biomarkers for Active Tuberculosis Diagnosis Against Nontuberculous Mycobacteria and Latent Tuberculosis Infection. J Proteome Res. 2025 Aug 1;24(8):3783-3797. doi: 10.1021/acs.jproteome.4c00989.

Nhung TTM, Phat NK, Anh TT, Nghi TD, Thu NQ, Lee A, Nam Tien NT, Anh NK, Nguyen HT, Kim K, Nguyen DN, Kim DH, Park SK, Long NP. Endoplasmic reticulum stress inhibition preserves mitochondrial function and cell survival during the early onset of isoniazid-induced oxidative stress. Chem Biol Interact. 2025 Apr 25;411:111448. doi: 10.1016/j.cbi.2025.111448.

Tien NTN, Thu NQ, Kim DH, Park S#, Long NP#. EasyPubPlot: A Shiny Web Application for Rapid Omics Data Exploration and Visualization. J Proteome Res. 2025 Apr 4;24(4):2188-2195. doi: 10.1021/acs.jproteome.4c01068.

Anh NK, Yen NTH, Tien NTN, Phat NK, Park YJ, Kim HS, Vu DH, Oh JY, Kim DH, Long NP. Metabolic phenotyping and global functional analysis facilitate metabolic signature discovery for tuberculosis treatment monitoring. Biochim Biophys Acta Mol Basis Dis. 2024 Apr;1870(4):167064. doi: 10.1016/j.bbadis.2024.167064.

Thi My Nhung T*, Long NP*, Diem Nghi T, Suh Y, Hoang Anh N, Jung CW, Minh Triet H, Jung M, Woo Y, Yoo J, Noh S, Kim SJ, Lee SB, Park S, Thomas G, Simmen T, Mun J, Rhee HW, Kwon SW, Park SK. Genome-wide kinase-MAM interactome screening reveals the role of CK2A1 in MAM Ca2+ dynamics linked to DEE66. Proc Natl Acad Sci. 2023 Aug 8;120(32):e2303402120. doi: 10.1073/pnas.2303402120