In Situ Quantification of Surface Chemistry in Porous Collagen Biomaterials
Name
10439_2015_Article_1445.pdf
Size
2.72 MB
Format
Adobe PDF
Checksum (MD5)
f1d56c17e8b53a381b86988f61f774cf
Author(s) • • • •
Tzeranis, Dimitrios
Soller, Eric Charles
Buydash, Melissa Christine
So, Peter T. C.
Yannas, Ioannis V
Date Issued
September 2015
Journal
Annals of Biomedical Engineering
Publisher
Springer US
Citation
Tzeranis, Dimitrios S. et al. “In Situ Quantification of Surface Chemistry in Porous Collagen Biomaterials.” Annals of Biomedical Engineering 44.3 (2016): 803–815.
Version
Author's final manuscript
Abstract
Cells inside a 3D matrix (such as tissue extracellular matrix or biomaterials) sense their insoluble environment through specific binding interactions between their adhesion receptors and ligands present on the matrix surface. Despite the critical role of the insoluble matrix in cell regulation, there exist no widely-applicable methods for quantifying the chemical stimuli provided by a matrix to cells. Here, we describe a general-purpose technique for quantifying in situ the density of ligands for specific cell adhesion receptors of interest on the surface of a 3D matrix. This paper improves significantly the accuracy of the procedure introduced in a previous publication by detailed marker characterization, optimized staining, and improved data interpretation. The optimized methodology is utilized to quantify the ligands of integrins α[subscript 1]β[subscript 1], α[subscript 2]β[subscript 1] on two kinds of matched porous collagen scaffolds, which are shown to possess significantly different ligand density, and significantly different ability to induce peripheral nerve regeneration in vivo. Data support the hypothesis that cell adhesion regulates contractile cell phenotypes, recently shown to be inversely related to organ regeneration. The technique provides a standardized way to quantify the surface chemistry of 3D matrices, and a means for introducing matrix effects in quantitative biological models.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/s10439-015-1445-x