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Advances in Salivary Diagnostics pp 157–185Cite as

Salivary Gland Tissue Engineering and Future Diagnostics

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Abstract

Our study of salivary gland structure and function relies on our ability to study the organ in its native environment. To scale those needs to a laboratory setting, researchers have created in vitro models that replicate the salient features of the gland, but these are inevitably tied to the abilities of current technologies and may require some compromises along the way. In this chapter, we discuss key features of the gland that would be desired in a model and the potential intersection of those needs with advances in the field of tissue engineering. The application of these new technologies, along with improvements in imaging and phenotype reporting, holds the promise of significantly impacting salivary diagnostics through continual improvements in the accuracy and scalability of laboratory models.

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Authors and Affiliations

  1. Department of Biochemistry and Cell Biology, Rice University, Houston, TX, USA

    Daniel A. Harrington PhD, Mariane Martinez PhD candidate & Danielle Wu PhD

  2. Department of Biological Sciences, University of Delaware, Newark, DE, USA

    Swati Pradhan-Bhatt PhD

  3. Center for Translational Cancer Research (CTCR), Helen F. Graham Cancer Center and Research Institute, Christiana Care Health Systems, Newark, DE, USA

    Swati Pradhan-Bhatt PhD

  4. Department of Biochemistry, Cell Biology and Bioengineering, Rice University, Houston, TX, USA

    Mary C. Farach-Carson PhD

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  1. Daniel A. Harrington PhD
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Correspondence to Daniel A. Harrington PhD .

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  1. Department of Diagnostic and Biomedical, University of Texas School of Dentistry at Houston, Houston, Texas, USA

    Charles F. Streckfus

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Harrington, D.A., Martinez, M., Wu, D., Pradhan-Bhatt, S., Farach-Carson, M.C. (2015). Salivary Gland Tissue Engineering and Future Diagnostics. In: Streckfus, C. (eds) Advances in Salivary Diagnostics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45399-5_8

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