Yang, Zhibo - University of Oklahoma - Department of Chemistry and Biochemistry

个人简介

RESEARCH EXPERIENCE Associate Professor Jul. 2018 – Present University of Oklahoma, Norman, OK Assistant Professor Aug. 2012 – Jun. 2018 University of Oklahoma, Norman, OK Postdoctoral Oct. 2008 – Jul. 2012 University of Colorado, Boulder, CO Mentors: Dr. Veronica M. Bierbaum, Dr. Theodore P. Snow Postdoctoral Oct. 2005 – Sept. 2008 Pacific Northwest National Laboratory, Richland, WA Mentors: Dr. Julia Laskin, Dr. Jean H. Futrell EDUCATION Ph.D. Physical Chemistry Aug. 2000 – Sept. 2005 Wayne State University, Detroit, MI Mentor: Dr. Mary T. Rodgers M.S. Physical Chemistry Sept. 1997 – Jul. 2000 University of Science and Technology of China, Hefei, China Mentor: Peiyan Lin B.S. Geochemistry (Major) and Material Chemistry (Minor) Sept. 1992 – Jul. 1997 University of Science and Technology of China, Hefei, China Mentor: Jiangfeng Chen

研究领域

Single Cell Mass Spectrometry Analysis Traditional cell bioanalysis is performed on samples prepared from large numbers of cells (e.g. cell lysate), such that the information of individual cells is concealed by the averaged results. Single cell mass spectrometry (SCMS) is an emerging field that could potentially revolutionize studies in basic scientific and biomedical research. Mass Spectrometry Tissue Imaging Mass spectrometry imaging (MSI) allows for mapping the spatial distribution of a broad range of molecules on surfaces. MSI combines MS with other technologies in microscopy, motion control instrumentation, and software engineering. In general, a MSI measurement is conducted by simultaneously recording the MS data with the physical locations in spot-to-spot scanning way. Mass Spectrometry Analysis of Live Multicellular Spheroids 3D culture multicellular spheroids are better models for tumors. We produce micro-scale device, the Micro-funnel, that can be implanted into live spheroids to collect metabolites produced from cancer cells. The collected extracellular metabolites can be analyzed by the Single-probe MS technique. The successful development of this technique can benefit the research in microenvironment inside live tissues, cell-cell communication, biomarker discovery, drug development, etc. Enhanced Data Analysis MS data contain very rich information. Due to the large sizes and complex structures of the data-sets, performing comprehensive data analysis is very challenging. We have developed effective approaches of using multivariate analysis (e.g., Multivariate Curve Resolution (MCR)) and Machine Learning (ML) to efficiently extract the metabolomics information from metabolomic information from MS images. Similarly, ML based methods have used to analyze SCMS data to extract essential biological information. In addition, we use image fusion technique to integrate optical image (e.g. fluorescence microscopy image) with MS image, allowing for (1) significantly improved spatial resolution and (2) correlation between histological hallmarks (e.g., stained proteins) and metabolomic profiles. Fundamental Ion Chemistry Mass spectrometer provides a solvent-free environment for gas-phase ion chemistry study. Simple instrument modifications will allow the introduction of reactant molecules into the mass spectrometer to investigate ion chemistry. Computational chemistry is a rapidly advancing subfield of theoretical chemistry, and provides important supporting and complementary information to experimental results. The combination of modern MS techniques and advanced computational chemistry facilitates research projects that were previously intractable.

近期论文

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C. Lander, V. Satalkar, J. Yang, X. Pan, Z. Pei, A. Chatterji, C. Liu, K. M. Nicholas, R. H. Cichewicz, Z. Yang*, Y. Shao*, “Visualization of Electron Density Changes Along Chemical Reaction Pathways”, Mol. Phys. 2022, e2113566, 1-10. T. D. Nguyen, Y. Lan, S. S. Kane, J. J. Haffner, L.-I. McCall*, Z. Yang*, “Single-cell Mass Spectrometry Approach Enables Insight into Heterogeneity in Parasite Infection”, Anal. Chem. 2022, 94, 10567-10572. X. Chen, Z. Peng, Z. Yang*, “Metabolomics Studies of Cell-Cell Interactions using Single Cell Mass Spectrometry Combined with Fluorescence Microscopy”, Chem. Sci., 2022, 13, 6687–6695. M. Sun, X. Chen, Z. Yang*, “Single Cell Mass Spectrometry Studies Reveal Metabolomic Features and Potential Mechanisms of Drug-Resistant Cancer Cell Lines”, Anal. Chim. Acta, 2022, 1206, 339761. X. Chen, M. Sun, Z. Yang*, “Single Cell Mass Spectrometry Analysis of Drug-resistant Cancer Cells: Metabolomics Studies of Synergetic Effect of Combinational Treatment”, Anal. Chim. Acta, 2022, 1201, 339621. N. Ahsan*, R. S. P. Rao, R. S. Wilson, U. Punyamurtula, F. Salvato, M. Petersen, M. K. Ahmed, M. R. Abid, J. C. Verburgt, D. Kihara, Z. Yang, L. Fornelli, S. B. Foster, B. Ramratnam, “Mass Spectrometry-Based Proteomic Platforms for Better Understanding of SARS-CoV-2 Induced Pathogenesis and Potential Diagnostic Approaches”, Proteomics, 2021, 212000279. R. Bensen, S. Standke, D. Colby, N. Kothapalli, A. Le, M. A. Patten, A. Tripathi, J. Heinlen, Z. Yang*, A. Burgett*, “Single Cell Mass Spectrometry Quantification of Anticancer Drugs: Proof of Concept in Cancer Patients”, ACS Pharmacol. Transl. Sci., 2021, 4, 96-100. R. Liu, Z. Yang*, “Single Cell Metabolomics Using Mass Spectrometry: Techniques and Data Analysis”, Anal. Chim. Acta, 2021, 1143, 124-134. Z. Pei, J. Yang, J. Deng, Y. Mao, Q. Wu, Z. Yang, B. Wang, C. M. Aikens, W. Liang*, and Y. Shao*, “Visualization and Analysis of Energy Densities: II. Linear-Response Time-Dependent Density Functional Theory Calculations”, Phys. Chem. Chem. Phys., 2020, 22, 26852-26864. J. Yang, Z. Pei, J. Deng, Y. Mao, Q. Wu, Z. Yang, B. Wang, C. M. Aikens, W. Liang*, and Y. Shao*, “Visualization and Analysis of Energy Densities: I. Real-Time Time-Dependent Density Functional Theory Simulations”, Phys. Chem. Chem. Phys., 2020, 22, 26838-26851. Y. Zhu, W. Wang, Z. Yang*, “Combining Mass Spectrometry with Paternò-Büchi Reaction to Determine Double-bond Positions in Lipids at the Single-cell Level”, Anal. Chem. 2020, 92, 11380-11387. M. Liu, Y. Zhang, J. Yang, X. Cui, Z. Zhou, H. Zhan, K. Ding, X. Tian, Z. Yang, K. A. Fung, B. H. Edil, R. G. Postier, M. S. Bronze, M. E. Fernandez-Zapico, M. P. Stemmler, T. Brabletz, Y. Li, C. W. Houchen, M. Li*, “ZIP4 Increases Expression of Transcription Factor ZEB1 to Promote Integrin α3β1 Signaling and Inhibit Expression of the Gemcitabine Transporter ENT1 in Pancreatic Cancer Cells”, Gastroenterology, 2020, 158, 679–692. Y. Tao, N. Bellonzi, Y. Mao, Z. Pei, Z. Zou, Z. Yang, Y. Shao*, “Constructing Spin-Adiabatic States for the Modeling of Spin-Crossing Reactions. I. A Shared-Orbital Implementation”, Int. J. Quantum Chem. 2020, 120, e26123. R. Liu, M. Sun, G. Zhang, Y. Lan, Z. Yang*, “Towards Early Monitoring of Chemotherapy-Induced Drug Resistance Based on Single Cell Metabolomics: Combining Single-probe Mass Spectrometry with Machine Learning”, Anal. Chim. Acta, 2019, 1092, 42-48. X. Tian, B. Xie, Z. Zou, Y. Jiao, L. Lin, C. Chen, C. Hsu, J. Peng*, Z. Yang*, “Multimodal Imaging of Amyloid Plaques: Fusion of the Single-probe Mass Spectrometry Image and Fluorescence Microscopy Image”, Anal. Chem. 2019, 91, 12882-12889. Y. Zhu, R. Liu, Z. Yang*, “Redesigning the T-probe for Mass Spectrometry Analysis of Online Lysis of Non-adherent Single Cells”, Anal. Chim. Acta, 2019, 1084, 53-59. N. Pan, S. Standke, N. R. Kothapalli, M. Sun, R. C. Bensen, A. Burgett, Z. Yang*, “Quantification of Drug Molecules in Live Single Cells using the Single-probe Mass Spectrometry Technique”, Anal. Chem. 2019, 91, 9018-9024. S. Standke, D. Colby, R. Bensen, A. Burgett*, Z. Yang*, “Integrated Cell Manipulation Platform Coupled with the Single-probe for Mass Spectrometry Analysis of Drugs and Metabolites in Single Suspension Cells”, J. Vis. Exp., 2019, 148, e5987. X. Tian, G. Zhang, Z. Zou, Z. Yang*, “Anticancer Drug Affects Metabolomic Profiles in Multicellular Spheroids: Studies Using Mass Spectrometry Imaging Combined with Machine Learning”, Anal. Chem. 2019, 91, 5802-5809. R. Liu, G. Zhang, M. Sun, X. Pan, Z. Yang*, “Integrating A Generalized Data Analysis Workflow with the Single-probe Mass Spectrometry Experiment for Single Cell Metabolomics”, Anal. Chim. Acta 2019, 1064, 71-79. B. L. Roberts, Z. C. Severance, R. C. Bensen, A. T. Le, N. R. Kothapalli, J. I. Nuñez, H. Ma, S. Wu, S. J. Standke, Z. Yang, W. J. Reddig, E. L. Blewett, A. W. G. Burgett*, “Transient Compound Treatment Induces a Multigenerational Reduction of Oxysterol-Binding Protein (OSBP) Levels and Prophylactic Antiviral Activity”, ACS Chem. Biol. 2019, 14, 276-287 (ACS Editors' Choice). M. Sun, Z. Yang*, “Metabolomic Studies of Live Single Cancer Stem Cells Using Mass Spectrometry”, Anal. Chem. 2019, 91, 2384-2391. S. Standke, D. Colby, R. Bensen, A. Burgett*, Z. Yang*, “Mass Spectrometry Measurement of Single Suspended Cells using Combined Cell Manipulation System and the Single-probe Device”, Anal. Chem. 2019, 91, 1738-1742. R. Liu, G. Zhang, Z. Yang*, “Towards Rapid Prediction of Drug-resistant Cancer Cell Phenotypes: Single Cell Mass Spectrometry Combined with Machine Learning”, Chem. Comm. 2019, 55, 616-619. R. Liu, N. Pan, Y. Zhu, Z. Yang*, “T-Probe: An Integrated Microscale Device for Online In Situ Single Cell Analysis and Metabolic Profiling Using Mass Spectrometry”, Anal. Chem. 2018, 90, 11078−11085. M. Sun, Z. Yang, B. Wawrik*, “Metabolomic Fingerprints of Individual Algal Cells Using the Single-Probe Mass Spectrometry Technique”, Front. Plant Sci. 2018, 9:571. X. Tian, G. Zhang, Y. Shao*, Z. Yang*, “Towards Enhanced Metabolomic Data Analysis of Mass Spectrometry Image: Multivariate Curve Resolution and Machine Learning”, Anal. Chim. Acta 2018, 1037, 211-219.