Information de reference pour ce titreAccession Number: | 00019515-200810020-00001.
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Author: | Yliperttula, Marjo a,b,*; Chung, Bong Geun a,c; Navaladi, Akshay a,d; Manbachi, Amir a,e; Urtti, Arto f
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Institution: | (a)Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA (b)Division of Biopharmacy and Pharmacokinetics, University of Helsinki, Finland (c)Center for Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, MA 02115, USA (d)Department of Biomedical Engineering, Boston University, Boston, MA, USA (e)Institute of Biomaterials and Biomedical Engineering (IBBME), University of Toronto, Toronto, ON, Canada (f)Drug Discovery and Development Technology Center, University of Helsinki, Finland
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Title: | |
Source: | European Journal of Pharmaceutical Sciences. 35(3):151-160, October 2, 2008.
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Abstract: | : Biomaterials have emerged as powerful regulators of the cellular microenvironment for drug discovery, tissue engineering research and chemical testing. Although biomaterial-based matrices control the cellular behavior, these matrices are still far from being optimal. In principle, efficacy of biomaterial development for the cell cultures can be improved by using high-throughput techniques that allow screening of a large number of materials and manipulate microenvironments in a controlled manner. Several cell responses such as toxicity, proliferation, and differentiation have been used to evaluate the biomaterials thus providing basis for further selection of the lead biomimetic materials or microenvironments. Although high-throughput techniques provide an initial screening of the desired properties, more detailed follow-up studies of the selected materials are required to understand the true value of a 'positive hit'. High-throughput methods may become important tools in the future development of biomaterials-based cell cultures that will enable more realistic pre-clinical prediction of pharmacokinetics, pharmacodynamics, and toxicity. This is highly important, because predictive pre-clinical methods are needed to improve the high attrition rate of drug candidates during clinical testing.
(C) 2008Elsevier, Inc.
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Author Keywords: | High-throughput screening; Biomaterial; Tissue engineering; Biocompatibility; Cell culture; Microarray; Microfluidics; Drug discovery.
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Language: | English.
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Document Type: | Review.
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ISSN: | 0928-0987
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NLM Journal Code: | c7r, 9317982
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DOI Number: | https://dx.doi.org/10.1016/j.ejp...- ouverture dans une nouvelle fenêtre
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