UNC Charlotte Adjunct Research Professor.

Cannon Research Center.

Research:

The Proteomics Laboratory for Clinical and Translational Research at Carolinas Medical Center is currently most interested in Biomarker Discovery for human disease using proteomics tools. In a disease state both protein expression and post-translational modifications can be altered.  These changes are equally of interest and are concurrently investigated. Specifically, identifying the phosphorylation, glycosylation, nitrosylation, and ubiquitination of proteins are some of the laboratory’s current interests.  We are believed that this knowledge will help to explicate the signaling pathways inherent to the disease state. Furthermore we are trying to understand clinical questions within the aspect of systems biology to elucidate the molecular phenomena of the disease which may be caused by alterations of the expression level, post-translational modification, subcellular localization, protein-protein interaction, etc. Currently, we are establishing sensitive clinical diagnostic methods using tandem mass spectrometry and the stable heavy isotope labeled molecule (SHILIM) techniques. The triple quadrupole mass spectrometer enables them to perform the selected reaction monitoring (SRM) protocol, which increases sensitivity >100 fold by selecting the target fragment ions. This technology makes possible the relative and absolute quantification of molecular abundance by comparing the area under the curve of the analytical standard to that of the sample fragment molecules. The future direction for human disease biomarker discovery will include the utilization of bioinformatics tools to enable identification of specific molecules of interest. This aspect is essential due to the complexity and large volume of data generated using proteomic strategies. One objective of critical necessity is establishing a database management system (DBMS) which can store the experimental data and identify the target molecules systematically.

Research Areas:

• Cancer Biomarker and Diagnosis
• Phospho-signaling and Pathway
• Protein Interaction
• Post-translational Modification (Glycosylation, Nitrosylation, Ubiquitination, etc.)
• Relative and absolute quantification of biomolecules
• Systems Biology

Experience:

Education:

Publications:

• Roy LD, Sahraei M, Subramani DB, Besmer D, Nath S, Tinder TL, Bajaj E, Shanmugam K, Lee YY, Hwang SI, Gendler SJ, and Mukherjee P. (2011) Oncogene, PMID: 21102519.
• McKinney KQ, Lee YY, Choi HS, Groseclose G, Iannitti DA, Martinie JB, Russo MW, Lundgren DH, Han DK, Bonkovsky HL, and Hwang SI. (2011) Discovery of putative pancreatic cancer biomarkers using subcellular proteomics, J Proteomics 74 (1), 79-88, PMID: 20807598.
• Lundgren, DH, Hwang, SI, Wu, L, Han, DK. (2010) Role of spectral counting in quantitative proteomics. Expert Rev Proteomics, 7 (1), 39-53, PMID: 20121475.
• Moerdyk-Schauwecker, M, Hwang, SI, and Grdzelishvili, VZ. (2009) Analysis of virion associated host proteins in vesicular stomatitis virus using a proteomics approach Virol J 6 (166), PMID: 19821998
• Mayya V, Lundgren DH, Hwang SI, Rezaul K, Wu L, Eng JK, Rodionov V, Han DK. (2009) Quantitative phosphoproteomic analysis of T cell receptor signaling reveals system-wide modulation of protein-protein interactions, Sci Signal 2(84):ra46, PMID: 19690332
• Ishii A, Dutta R, Wark GM, Hwang SI, Han DK, Trapp BD, Pfeiffer SE, Bansal R. (2009) Human myelin proteome and comparative analysis with mouse myelin, Proc Natl Acad Sci U S A 25;106(34):14605-10,  PMID: 19706548.
• Mayya V, Lundgren DH, Hwang SI, Rezaul K, Wu L, Eng JK, Rodionov V, Han DK. (2009) Quantitative phosphoproteomic analysis of T cell receptor signaling reveals system-wide modulation of protein-protein interactions, Sci Signal 2(84):ra46, PMID: 19690332
• Han, MH*, Hwang, SI*, Roy, DB*, Lundgren, DH, Price, JV, Ousman, SS, Fernald, GH, Gerlitz, B, Robinson, WH, Baranzini, SE, Grinnell, BW, Raine, CS, Sobel, RA, Han, DK, Steinman, L. (2008) Proteomic Analysis of Active Multiple Sclerosis Lesions Reveals Therapeutic Targets In the Coagulation Cascade, Nature 451(7182):1076-81.
• Lee, YM, Venkataraman, K, Hwang, SI, Han DK, and Hla, T. “A novel method to quantify sphingosine 1-phosphate by immobilized metal affinity chromatography (IMAC)”, Prostaglandins Other Lipid Mediat, 84(3-4), 154-62.
• Wu L, Hwang SI, Rezaul K, Lu LJ, Mayya V, Gerstein M, Eng JK, Lundgren DH, Han DK. (2007) Global survey of human T leukemic cell by integrating proteomic and transcriptomic profiling. Mol Cell Proteomics. 6(8), 1343-1353.
• Bagnato, C, Thumar, J, Mayya, V, Hwang, SI, Zebroski, H, Claffey, KP, Haudenschild, C, Eng JK, Lundgren, DH, and Han, DK. (2007) Proteomic analysis of human coronary atherosclerotic plaque: A feasibility study of direct tissue proteomics by liquid-chromatography and tandem mass spectrometry. Mol Cell Proteomics, 6(6), 1088-1102.
• Hwang, SI, Thumar, J, Lundgren, DH, Rezaul, K., Mayya, V., Wu, L., Eng, J., Wright, M., and Han, DK. (2007) Direct cancer tissue proteomics: A method to identify candidate cancer biomarkers from formalin-fixed paraffin-embedded archival tissues. Oncogene, 26, 65-76.
• Hwang SI, Lundgren DH, Mayya V, Rezaul K, Cowan AE, Eng JK, Han DK. (2006) Systematic Characterization of Nuclear Proteome during Apoptosis: A Quantitative Proteomic Study by Differential Extraction and Stable Isotope Labeling. Mol Cell Proteomics, 5, 1131-1145
• Rezaul K, Wu L, Mayya V, Hwang SI, Han DK. (2005) A systematic characterization of mitochondrial proteome from a human T leukemia cells.  Mol Cell Proteomics. 4(2):169-81.
• Oh J, Pyo JH, Jo EH, Hwang SI, Kang SC, Jung JH, Park EK, Kim SY, Choi JY, Lim J. (2004) Establishment of a near-standard two-dimensional human urine proteomic map. Proteomics. 4, 3485-3497.
• Pyo, J, Hwang, SI, Oh, J, Kang, SC, Kim, JS, and Lim, J. (2003) Characterization of a bovine pregnancy-associated protein using two-dimensional gel electrophoresis, N-terminal sequencing and mass spectrometry. Proteomics. 3, 2420-2427.