Post Doctorate Research Associate
Post Doctorate Research Associate

Biography

Dr. Jongmin Woo is a post doctoral research with the Instrument Development Lab in the Environmental Molecular Sciences Division and the Environmental Molecular Sciences Laboratory user program. He provides expert skills and knowledge in the field of single-cell proteomics. Since joining PNNL in 2019, he has used mass spectrometry to focus on global proteomics and develop proteomics technology used to study protein heterogeneity between single cells. Woo is involved in a single-cell proteomics study, requiring ultra-high sensitivity, that will contribute to the development of techniques to minimize sample loss and improve the sensitivity of analysis using nanoPOTS robots developed by PNNL. These techniques will be available for application in many fields in the future.  

Based on his medical science major, he is currently conducting lung cell type research as part of the National Institutes of Health-funded Lung Map project by applying single-cell proteomics technology. Through this study, it will be possible to identify unknown lung cell type proteins, further clarify molecular mechanisms, and discover lung-related disease biomarkers at the molecular level. Woo is not only leading the latest research in this field with single-cell proteomics studies, but is also expected to benefit most from the resources developed by PNNL. 

Research Interest

  • Single-cell proteomics 

  • Clinical proteomics 

  • Development of liquid chromatography tandem mass spectrometry method 

Education

  • PhD in Biomedical Science, Seoul National University, 2018 

  • MS in Biomedical Science, Seoul National University

  • BS in University of Oklahoma, 2010

Affiliations and Professional Service

  • Post Doctoral Research Associate, PNNL (2019 – Present) 

  • Post Doctoral Research Fellow, University of North Carolina (2018 – 2019) 

Publications

2020 

J Woo, PR Sudhir, Q Zhang, 2020. Pancreatic Tissue Proteomics Unveils Key Proteins, Pathways, and Networks Associated with Type 1 Diabetes, PROTEOMICS–Clinical Applications 14 (6), 2000053. https://doi.org/10.1002/prca.202000053 

YG Kim, J Woo, J Park, S Kim, YS Lee, Y Kim, SJ Kim, 2020. Quantitative proteomics reveals distinct molecular signatures of different cerebellum-dependent learning paradigms, Journal of Proteome Research 19 (5), 2011-2025. https://doi.org/10.1021/acs.jproteome.9b00826 

2019 

DK Kim, D Han, J Park, H Choi, JC Park, MY Cha, J Woo, MS Byun, DY Lee, Y Kim, I Mook-Jung, 2019. "Deep proteome profiling of the hippocampus in the 5XFAD mouse model reveals biological process alterations and a novel biomarker of Alzheimer’s disease," Experimental & molecular medicine 51 (11), 1-17. https://doi.org/10.1038/s12276-019-0326-z 

2018 

DK Kim, J Park, D Han, J Yang, A Kim, J Woo, Y Kim, I Mook-Jung, 2018. Molecular and functional signatures in a novel Alzheimer’s disease mouse model assessed by quantitative proteomics, Molecular neurodegeneration 13 (1), 1-19. https://doi.org/10.1186/s13024-017-0234-4 

MS Jin, H Lee, J Woo, S Choi, MS Do, K Kim, MJ Song, Y Kim, IA Park, D Han, HS Ryu, 2018. Integrated Multi‐Omic Analyses Support Distinguishing Secretory Carcinoma of the Breast from Basal‐Like Triple‐Negative Breast Cancer, PROTEOMICS–Clinical Applications 12 (5), 1700125. https://doi.org/10.1002/prca.201700125 

H Lee, K Kim, J Woo, J Park, H Kim, KE Lee, H Kim, Y Kim, KC Moon, JY Kim, IA Park, BB Shim, JH Moon, D Han, HS Ryu, 2018. Quantitative proteomic analysis identifies AHNAK (neuroblast differentiation-associated protein AHNAK) as a novel candidate biomarker for bladder urothelial carcinoma diagnosis by Liquid-based Cytology, Molecular & Cellular Proteomics 17 (9), 1788-1802. https://doi.org/10.1074/mcp.RA118.000562 

2017 

J Park, D Han, M Do, J Woo, JI Wang, Y Han, W Kwon, SW Kim, JY Jang, Y Kim, 2017. Proteome characterization of human pancreatic cyst fluid from intraductal papillary mucinous neoplasm by liquid chromatography/tandem mass spectrometry, Rapid Communications in Mass Spectrometry 31 (20), 1761-1772. https://doi.org/10.1002/rcm.7959 

J Woo, D Han, JI Wang, J Park, H Kim, Y Kim, 2017. Quantitative proteomics reveals temporal proteomic changes in signaling pathways during BV2 mouse microglial cell activation, Journal of Proteome Research 16 (9), 3419-3432. https://doi.org/10.1021/acs.jproteome.7b00445 

JY Kim, H Lee, J Woo, W Yue, K Kim, S Choi, JJ Jang, Y Kim, IA Park, D Han, HS Ryu, 2017. Reconstruction of pathway modification induced by nicotinamide using multi-omic network analyses in triple negative breast cancer, Scientific reports 7 (1), 1-13. https://doi.org/10.1038/s41598-017-03322-7 

2015 

J Woo, D Han, J Park, SJ Kim, Y Kim, 2015. In‐depth characterization of the secretome of mouse CNS cell lines by LC‐MS/MS without prefractionation, Proteomics 15 (21), 3617-3622. https://doi.org/10.1002/pmic.201400623 

2014 

D Han, J Jin, J Woo, H Min, Y Kim, 2014. Proteomic analysis of mouse astrocytes and their secretome by a combination of FASP and StageTip‐based, high pH, reversed‐phase fractionation, Proteomics 14 (13-14), 1604-1609. https://doi.org/10.1002/pmic.201300495