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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Tissue Engineeringarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Tissue Engineering
Article . 2006 . Peer-reviewed
License: Mary Ann Liebert TDM
Data sources: Crossref
Tissue Engineering
Article . 2006 . Peer-reviewed
Data sources: Crossref
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Effects of Cell Seeding Density and Collagen Concentration on Contraction Kinetics of Mesenchymal Stem Cell–Seeded Collagen Constructs

Authors: Victor S, Nirmalanandhan; Martin S, Levy; Anthony J, Huth; David L, Butler;

Effects of Cell Seeding Density and Collagen Concentration on Contraction Kinetics of Mesenchymal Stem Cell–Seeded Collagen Constructs

Abstract

Our group has been engineering cell-scaffold constructs to improve tendon repair by contracting mesenchymal stem cells (MSCs) in collagen gels and then evaluating their repair potential in wound sites in rabbits. Because the construct's initial conditions may influence the ultimate repair outcome, this two-part study sought to distinguish which factors most influence contraction kinetics in culture. (1)We optically determined if varying cell-to-collagen ratio significantly affected construct contraction. Temporal changes in construct area were monitored up to 168 h for 4 cell-to-collagen ratios (HK = 0.04, LK = 0.08, HM = 0.4, and LM = 0.8, where H, L = 2.6, 1.3 mg/mL collagen and K,M = 0.1, 1 million cells/mL, respectively).A mathematical model was created with terms that represent the different combinations of cell densities and collagen concentrations in order to predict the contraction kinetics as a function of time. Highly significant differences in construct areas were found among all 4 ratios after 8 h of contraction with the exception of the LK (0.08) vs. HM(0.4) conditions. This similar pattern raised the question of whether cell density or collagen concentration more influenced these events. (2) To isolate these effects, the contraction kinetics of the HM construct were compared to those of a new construct (L5K) with equivalent cell-to-collagen ratio (0.4) but half the cell density (500 K MSCs/mL) and half the collagen concentration (1.3 mg/mL). The L5K construct contracted significantly faster and more completely than the HM construct but no differently than the LM construct. These results indicate that above a threshold value of cell density, percentage reductions in collagen concentration influence contraction kinetics more than equivalent percentage increases in cell seeding density. The fact that our model successfully predicted intermediate time points of contraction suggests its utility for examining other cell and collagen densities. Controlling scaffold as well as cellular initial conditions will be critical in achieving our goal of functional tissue engineering (FTE) a successful tendon repair.

Related Organizations
Keywords

Bioprosthesis, Time Factors, Tissue Engineering, Cell Count, Mesenchymal Stem Cells, Models, Biological, Elasticity, Kinetics, Implants, Experimental, Tendon Injuries, Animals, Female, Collagen, Rabbits, Cells, Cultured

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
49
Top 10%
Top 10%
Top 10%
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