• DocumentCode
    724829
  • Title

    Infering an ontology of single cell motions from high-throughput microscopy data

  • Author

    Sebag, Alice Schoenauer ; Plancade, Sandra ; Raulet-Tomkiewicz, Celine ; Barouki, Robert ; Vert, Jean-Philippe ; Walter, Thomas

  • Author_Institution
    CBIO-Centre for Comput. Biol., PSL-Res. Univ., France
  • fYear
    2015
  • fDate
    16-19 April 2015
  • Firstpage
    160
  • Lastpage
    163
  • Abstract
    Cellular motility is a fundamental biological process. Progress in the fields of gene silencing and high-throughput (HT) microscopy provide us with the tools to study its molecular basis and potential perturbators. The primary contribution of this paper is to present MotIW, a generic workflow for single cell motility study in HT time-lapse screening data. We successfully apply it to a simulated screen, as well as a genome-wide screen. Furthermore, MotIW enables the identification of eigth motility patterns into which all trajectories from this dataset divide up into, without any prior model of cell motion.
  • Keywords
    biological techniques; biology computing; cell motility; cellular biophysics; data mining; genomics; microscopy; HT time-lapse screening data; MotIW; biological process; cell motility pattern identification; cell motion model; gene silencing; generic workflow; genome-wide screen; high-throughput microscopy data; molecular basis; potential perturbator; single cell motility study; single cell motion ontology; Bioinformatics; Feature extraction; Genomics; Motion pictures; Tracking; Trajectory; Videos; High-content (high-throughput) screening; data mining; pattern recognition and classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
  • Conference_Location
    New York, NY
  • Type

    conf

  • DOI
    10.1109/ISBI.2015.7163840
  • Filename
    7163840