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Integration of Statistical Modeling and High-content Microscopy to Systematically Investigate Cell–substrate Interactions by Wen Li Kelly Chen; Morakot Likhitpanichkul; Anthony Ho; Craig A. Simmons is a Engineering article available to read on EtoBox.

What is Integration of Statistical Modeling and High-content Microscopy to Systematically Investigate Cell–substrate Interactions about?

Cell-substrate interactions are multifaceted, involving the integration of various physical and biochemical signals. The interactions among these microenvironmental factors cannot be facilely elucidated and quantified by conventional experimentation, and necessitate multifactorial strategies. Here we describe an approach that integrates statistical design and analysis of experiments with automated microscopy to systematically investigate the combinatorial effects of substrate-derived stimuli (substrate stiffness and matrix protein concentration) on mesenchymal stem cell (MSC) spreading, proliferation and osteogenic differentiation. C3H10T1/2 cells were grown on type I collagen- or fibronectin-coated polyacrylamide hydrogels with tunable mechanical properties. Experimental conditions, which were defined according to central composite design, consisted of specific permutations of substrate stiffness (3-144 kPa) and adhesion protein concentration (7-520 microg/mL). Spreading area, BrdU incorporation and Runx2 nuclear translocation were quantified using high-content microscopy and modeled as mathematical functions of substrate stiffness and protein concentration. The resulting response

Who reads Integration of Statistical Modeling and High-content Microscopy to Systematically Investigate Cell–substrate Interactions?

Author

Wen Li Kelly Chen; Morakot Likhitpanichkul; Anthony Ho; Craig A. Simmons

Publisher

Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0142-9612)

Published

2010

Language

EN

Field

Engineering (Physical Sciences)