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Convergence of Highly Resolved and Rapid Screening Platforms with Dynamically Engineered, Cell Phenotype-Prescriptive Biomaterials.
Bennett, Neal K; Dhaliwal, Anandika; Moghe, Prabhas V.
Afiliação
  • Bennett NK; Department of Biomedical Engineering, Rutgers University, Piscataway, NJ.
  • Dhaliwal A; Department of Biomedical Engineering, Rutgers University, Piscataway, NJ.
  • Moghe PV; Department of Biomedical Engineering, Rutgers University, Piscataway, NJ; Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ.
Curr Pharmacol Rep ; 2(3): 142-151, 2016 Jun.
Article em En | MEDLINE | ID: mdl-27482508
ABSTRACT
Biophysical and biochemical cues from the cellular microenvironment initiate intracellular signaling through cellular membrane receptors and trigger specific cell developmental programs. Extracellular substrates and matrix scaffolds engineered to mimic cell's native physiological environment must incorporate the multifactorial parameters (composition, micro and nanoscale organization and topography) of the extracellular matrix as well as the dynamic nature of the matrix. The design of such engineered biomaterials is challenged by the inherent complexity and dynamic nature of the cell-extracellular matrix reciprocity, while the validation of robust microenvironments requires a deeper, higher content phenotypic resolution of cell-matrix interactions alongside a rapid screening capability. To this end, high-throughput platforms are integral to facilitating the screening and optimization of complex engineered microenvironments for directing desired cell developmental pathway. This review highlights the recent advances in biomaterial platforms that present dynamic cues and enable high throughput screening of cell's response to a combination of micro-environmental factors. We also address some newer techniques involving high content image informatics to elucidate emergent cellular behaviors with a focus on stem cell regenerative endpoints.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Revista: Curr Pharmacol Rep Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Revista: Curr Pharmacol Rep Ano de publicação: 2016 Tipo de documento: Article