UConn Health Center HomeCenter for Vascular Biology
Contact Information
David K. Han, Ph.D.
Center for Vascular Biology
University of Connecticut Health Center
263 Farmington Avenue
Farmington, CT 06030-3501  

Phone: 860-679-2444
Fax: 860-679-1201
Email: han@nso.uchc.edu

Han Lab


Lab Members
Han Lab Methods - Center for Vascular Biology at the UConn Health Center
David Han, Ph.D.
Principle Investigator
Member, Center for Vascular Biology
Associate Professor of Cell Biology
Email: han@nso.uchc.edu
Phone: 860-679-2444
Debbie Lundgren
Email: lundgren@uchc.edu
Phone: 860-679-1368
Research Interests

The overall goal of the Han Laboratory is to utilize newly developed proteomic technologies to uncover cellular signaling networks and pathways that govern mechanisms of programmed cell death/apoptosis. Toward the overall goal, we have made significant level of commitment to improve currently available technologies and apply proteomic technologies to uncover novel biological insights.

  • Apoptotic Signaling Networks in Vascular Inflammation and Atherosclerosis
  • Mechanisms of Apoptotic Cell Engulfment
  • Modeling Genomics and Proteomics Datasets by Developing Novel Bioinformatics Approaches
  • Implementation of Proteomics and Mass Spectrometry Technologies for Protein Identification and Quantification

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Research Projects
  • Using proteomics to quantitate and characterized cell membranes, subcellular organelles, and cell-cycle regulation.
  • Absolute Quantification (AQua). Heavy isotope-labeled tryptic peptides can be used as ideal internal standards to determine absolute quantities of proteins by tandem mass spectrometry (Gerber et al., PNAS 2003). We are interested in applying this technique to gain quantitative understanding of specific cell signaling events. We are currently quantifying the multi-site phosphorylation status of Cdc2 directly from whole cell extracts.
  • Developing methods which will allow us to determine if proteins within complex mixtures can be identified by accurate mass alone.
  • Automating data analysis and presentation.
  • Lipidomics: Characterizing lipid vesicles and their roles & functions in the cell.

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