Rationally designed matrices for nerve tissue engineering and encapsulated cell therapies critically rely on a comprehensive understanding of neural response to biochemical as well as biophysical cues. Whereas biochemical cues are established mediators of neuronal behavior (e.g., outgrowth), physical cues such as substrate stiffness have only recently been recognized to influence cell behavior. In this work, we examine the response of PC12 neurites to substrate stiffness. We quantified and controlled fibronectin density on the substrates and measured multiple neurite behaviors (e.g., growth, branching, neurites per cell, per cent cells expressing neurites) in a large sample population. We found that PC12 neurons display a threshold response to substrate stiffness. On the softest substrates tested (shear modulus approximately 10 Pa), neurites were relatively few, short in length and unbranched. On stiffer substrates (shear modulus approximately 10(2)-10(4) Pa), neurites were longer and more branched and a greater percentage of cells expressed neurites; significant differences in these measures were not found on substrates with a shear modulus >10(2) Pa. Based on these data and comparisons with published neurobiology and neuroengineering reports of neurite mechanotransduction, we hypothesize that results from studies of neuronal response to compliant substrates are cell-type dependent and sensitive to ligand density, sample size and the range of stiffness investigated.

The major limitation of current engineered myocardial patches for the repair of heart defects is that insulating polymeric scaffold walls hinder the transfer of electrical signals between cardiomyocytes. This loss in signal transduction results in arrhythmias when the scaffolds are implanted. We report that small, subtoxic concentrations of single-walled carbon nanotubes, on the order of tens of parts per million, incorporated in a gelatin–chitosan hydrogel act as electrical nanobridges between cardiomyocytes, resulting in enhanced electrical coupling, synchronous beating, and cardiomyocyte function. These engineered tissues achieve excitation conduction velocities similar to native myocardial tissue (22 ± 9 cm/s) and could function as a full-thickness patch for several cardiovascular defect repair procedures, such as right ventricular outflow track repair for Tetralogy of Fallot, atrial and ventricular septal defect repair, and other cardiac defects, without the risk of inducing cardiac arrhythmias.

Developmental, physiological and tissue engineering studies critical to the development of successful myocardial regeneration therapies require new ways to effectively visualize and isolate large numbers of fluorescently labeled, functional cardiomyocytes. Here we describe methods for the clonal expansion of engineered hESCs and make available a suite of lentiviral vectors for that combine Blasticidin, Neomycin and Puromycin resistance based drug selection of pure populations of stem cells and cardiomyocytes with ubiquitous or lineage-specific promoters that direct expression of fluorescent proteins to visualize and track cardiomyocytes and their progenitors. The phospho-glycerate kinase (PGK) promoter was used to ubiquitously direct expression of histone-2B fused eGFP and mCherry proteins to the nucleus to monitor DNA content and enable tracking of cell migration and lineage. Vectors with T/Brachyury and α-myosin heavy chain (αMHC) promoters targeted fluorescent or drug-resistance proteins to early mesoderm and cardiomyocytes. The drug selection protocol yielded 96% pure cardiomyocytes that could be cultured for over 4 months. Puromycin-selected cardiomyocytes exhibited a gene expression profile similar to that of adult human cardiomyocytes and generated force and action potentials consistent with normal fetal cardiomyocytes, documenting these parameters in hESC-derived cardiomyocytes and validating that the selected cells retained normal differentiation and function. The protocols, vectors and gene expression data comprise tools to enhance cardiomyocyte production for large-scale applications.