• DocumentCode
    1568889
  • Title

    Optimization of cellular alignment for nerve guidance

  • Author

    Kofron, C.M. ; Hoffman-Kim, D.

  • Author_Institution
    Dept. of Mol. Pharmacology, Physiol., & Biotechnol., Brown Univ., Providence, RI
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Anisotropic tissues have important biomedical engineering applications, but it is not yet known which types or properties of anisotropic tissues are sufficient for nerve guidance. In this study, we generated confluent and aligned monolayers of Schwann cells (SCs), astrocytes, and endothelial cells (ECs). The influence of protein patterning parameters on cellular confluence and alignment was modeled and analyzed quantitatively, and optimal conditions were determined for each cell type. Confluent and aligned monolayers of astrocytes, ECs, and SCs were achieved through culture on micropatterned proteins, but the predicted optimal conditions by which these monolayers can be achieved varied among the cell types tested. The systematic optimization of biochemical mechanisms to enhance cellular alignment and confluence was investigated as a first step toward generating anisotropic tissues and biomimetic substrates for studying neuron guidance.
  • Keywords
    biology computing; cellular biophysics; molecular biophysics; neurophysiology; optimisation; proteins; statistical analysis; Schwann cells; aligned monolayers; anisotropic tissues; astrocytes; biochemical mechanisms; biomedical engineering applications; biomimetic substrates; cellular alignment; cellular confluence; endothelial cells; micropatterned proteins; nerve guidance; optimization; protein patterning parameters; Anisotropic magnetoresistance; Biomedical engineering; Biotechnology; Design for experiments; Image analysis; Neurons; Nuclear power generation; Pattern analysis; Physiology; Protein engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 2009 IEEE 35th Annual Northeast
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-4362-8
  • Electronic_ISBN
    978-1-4244-4364-2
  • Type

    conf

  • DOI
    10.1109/NEBC.2009.4967794
  • Filename
    4967794