Mark P Harris

Summary

Affiliation: Vanderbilt University
Country: USA

Publications

  1. pmc Migration of isogenic cell lines quantified by dynamic multivariate analysis of single-cell motility
    Mark P Harris
    Department of Cancer Biology, Vanderbilt University, Nashville, Tennessee 37232 6840, USA
    Cell Adh Migr 2:127-36. 2008
  2. pmc The role of a recombinant fragment of laminin-332 in integrin alpha3beta1-dependent cell binding, spreading and migration
    Hironobu Yamashita
    Department of Cancer Biology, Vanderbilt University Medical Center, 771 Preston Research Building, 2220 Pierce Avenue, Nashville, TN 37232 6840, United States
    Biomaterials 31:5110-21. 2010
  3. pmc Trait variability of cancer cells quantified by high-content automated microscopy of single cells
    Vito Quaranta
    Department of Cancer Biology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
    Methods Enzymol 467:23-57. 2009

Collaborators

Detail Information

Publications3

  1. pmc Migration of isogenic cell lines quantified by dynamic multivariate analysis of single-cell motility
    Mark P Harris
    Department of Cancer Biology, Vanderbilt University, Nashville, Tennessee 37232 6840, USA
    Cell Adh Migr 2:127-36. 2008
    ....
  2. pmc The role of a recombinant fragment of laminin-332 in integrin alpha3beta1-dependent cell binding, spreading and migration
    Hironobu Yamashita
    Department of Cancer Biology, Vanderbilt University Medical Center, 771 Preston Research Building, 2220 Pierce Avenue, Nashville, TN 37232 6840, United States
    Biomaterials 31:5110-21. 2010
    ..We conclude that rLG4 could be a useful substitute to recapitulate, in vitro, the tissue scaffolding properties of Ln-332...
  3. pmc Trait variability of cancer cells quantified by high-content automated microscopy of single cells
    Vito Quaranta
    Department of Cancer Biology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
    Methods Enzymol 467:23-57. 2009
    ..This type of data is ideally suited to populate cell-scale computational and mathematical models of cancer progression for quantitatively and predictively evaluating cancer drug discovery and treatment...