Publications
2024
24. D Shin, Y Kim, J Park*, and Y Kim*; High-throughput Proteomics-Guided Biomarker Discovery of Hepatocellular Carcinoma. Biomedical Journal (co-corresponding author)
23. Park SY, Shin D, Yoon YS, Park S, Im SS, Kim Y, Kim YS, Choi C, and Hur MW; TAT38 and TAT38 mimics potently inhibit adipogenesis by repressing C/EBPα, PPARγ, Pi-PPARγ, and SREBP1 expression. Biochimica et Biophysica Acta: Gene Regulatory Mechanisms
22. L Y Tan, G Cunliffe, MP Hogan, XY Yeo, C Oh, B Jin, J Kang, J Park, M-S Kwon, M Kim, S Jung; Emergence of the brain-border immune niches and their contribution to the development of neurodegenerative diseases. Frontiers in Immunology
21. DK Kim, K Seo, J Park, S-E Lee, J Han, S Chang, Y Kim, and I Mook-Jung; FGFR3 drives Aβ-induced tau uptake. Experimental and Molecular Medicine
20. J Park, T K. Cheung, and Y Zhu, Microfluidic Sample Preparation for Multiplexed Single-Cell Proteomics using a Nested Nanowell Chip. Methods in Molecular Biology
2023
19. D Shin, J Lee, Y Kim, J Park, D Shin, Y Song, E-J Joo, S Roh, KY Lee, S Oh, YM Ahn, SJ Rhee, and Y Kim; Evaluation of a Nondepleted Plasma Multiprotein-Based Model for Discriminating Psychiatric Disorders Using Multiple Reaction Monitoring-Mass Spectrometry: Proof-of-Concept Study. Journal of Proteome Research
18. J Park, SH Lee, D Shin, Y Kim, YS Kim, MY Seong, JJ Lee, HG Seo, W-S Cho, YS Ro, Y Kim, and B-M Oh; Multiplexed Quantitative Proteomics Reveals Proteomic Alterations in Two Rodent Traumatic Brain Injury Models. Journal of Proteome Research
17. JW Jin, H Kim, J Park, J Woo, E Jeon, G Lee, M Park, S Kim, SH Seo, S Cheon, K Dan, J Lee, D Han, and H Ryu; In-depth proteome analysis of brain tissue from Ewsr1 knockout mouse by multiplexed isobaric tandem mass tag labeling. Scientific Reports
16. SJ Rhee, D Shin, D Shin, Y Song, E-J Joo, HY Jung, S Roh, S-H Lee, H Kim, M Bang, KY Lee, J Lee, J Kim, Y Kim, Y Kim, and YM Ahn; Network analysis of plasma proteomes in affective disorders. Translational Psychiatry
15. J Park, F Yu, J M. Fulcher, S M. Williams, K Engbrecht, R J. Moore, G C. Clair, V Petyuk, A I. Nesvizhskii, and Y Zhu; Evaluating Linear Ion Trap for MS3-Based Multiplexed Single-Cell Proteomics. Analytical Chemistry
2020
14. J Park, H Kim, S Kim, Y Kim, J-S Lee, K Dan, M-W S, and D Han; In‐depth blood proteome profiling analysis revealed distinct functional characteristics of plasma proteins between severe and non‐severe COVID‐19 patients. Scientific Reports
13. M Do, H Kim, D Shin, J Park, H Kim, Y Han, J Jang, and Y Kim; Marker Identification of the Grade of Dysplasia of Intraductal Papillary Mucinous Neoplasm in Pancreatic Cyst Fluid by Quantitative Proteomic Profiling. Cancers
12. C Min*, H Hyeon*, R Gupta, J Park, Y Cheon, G Lee, J Jang, H Ryu, B Lee, S Park, Y Kim, J Kim, and S Kim; Integrated Proteomics and Metabolomics Analysis Highlights Correlative Metabolite-Protein Networks in Soybean Seeds Subjected to Warm-Water Soaking. Journal of Agricultural & Food Chemistry
11. C Min*, J Park*, J Bae, G Agrawal, R Rakwal, Y Kim, P Yang, S Kim, R Gupta; In-Depth Investigation of Low-Abundance Proteins in Matured and Filling Stages Seeds of Glycine max Employing a Combination of Protamine Sulfate Precipitation and TMT-Based Quantitative Proteomic Analysis. Cells
10. Y Kim, J Woo, J Park, S Kim, Y Lee, Y Kim, S Kim; Quantitative proteomics reveals distinct molecular signatures of different cerebellum-dependent learning paradigms. Journal of Proteome Research
9. D Shin*, J Park*, D Han, J Moon, H Ryu, Y Kim; Identification of TUBB2A by quantitative proteomic analysis as a novel biomarker for the prediction of distant metastatic breast cancer. Clinical Proteomics
2019
8. J Park*, H Oh*, D Han, I Park, J Wang, H Ryu, Y Kim; Parallel Reaction Monitoring-Mass Spectrometry (PRM-MS)-Based Targeted Proteomic Surrogates for Intrinsic Subtypes in Breast Cancer: Comparative Analysis with Immunohistochemical Phenotypes. Journal of Proteome Research
7. D Kim*, D Han*, J Park, H Choi, J Park, M Cha, J Woo, M Byun, D Lee, Y Kim, I Mook-Jung; Deep Proteome Profiling of Hippocampus in 5XFAD Mouse Model Uncovers Biological Process Alterations and a Novel Biomarker of Alzheimer's Disease. Experimental & Molecular Medicine
2018
6. H Lee*, K Kim*, J Woo, J Park, H Kim, K Lee, H Kim, Y Kim, K Moon, J Kim, I Park, B Shim, J Moon, D Han, H Ryu; 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
5. D Kim*, J Park*, D Han*, J Yang, A Kim, J Woo, Y Kim, I Mook-Jung; Molecular and functional signatures in a novel Alzheimer's disease mouse model assessed by quantitative proteomics. Molecular Neurodegeneration (IF = 18.91, JCR ranking < 3% in Neuroscience)
2017
4. H Kim*, J Park*, J Wang, Y Kim; Recent advances in proteomic profiling of pancreatic ductal adenocarcinoma and the road ahead. Expert Review of Proteomics
3. J Woo*, D Han*, J Wang, J Park, H Kim, Y Kim; Quantitative proteomics reveal temporal proteomic changes in signaling pathways during BV2 mouse microglial cell activation. Journal of Proteome Research
2. J Park*, D Han*, M Do, J Woo, J Wang, Y Han, W Kwon, S Kim, J Jang, Y Kim; Proteome Characterization of Human Pancreatic Cyst Fluid from Intraductal Papillary Mucinous Neoplasm by LC/MS/MS. Rapid Communications in Mass Spectrometry
2015
1. J Woo*, D Han*, J Park, S Kim, Y Kim; In-depth characterization of the secretome of mouse CNS cell lines by LC-MS/MS without prefractionation. Proteomics