| Literature DB >> 31845810 |
Alec S T Smith1,2,3, Eunpyo Choi1,4, Kevin Gray1,5, Jesse Macadangdang1,5, Eun Hyun Ahn3,6, Elisa C Clark1, Michael A Laflamme7, Joseph C Wu8, Charles E Murry1,2,3,6,9, Leslie Tung10, Deok-Ho Kim1,2,3,10,11.
Abstract
Matrix nanotopographical cues are known to regulate the structure and function of somatic cells derived from human pluripotent stem cell (hPSC) sources. High-throughput electrophysiological analysis of excitable cells derived from hPSCs is possible via multielectrode arrays (MEAs) but conventional MEA platforms use flat substrates and do not reproduce physiologically relevant tissue-specific architecture. To address this issue, we developed a high-throughput nanotopographically patterned multielectrode array (nanoMEA) by integrating conductive, ion-permeable, nanotopographic patterns with 48-well MEA plates, and investigated the effect of substrate-mediated cytoskeletal organization on hPSC-derived cardiomyocyte and neuronal function at scale. Using our nanoMEA platform, we found patterned hPSC-derived cardiac monolayers exhibit both enhanced structural organization and greater sensitivity to treatment with calcium blocking or conduction inhibiting compounds when subjected to high-throughput dose-response studies. Similarly, hPSC-derived neurons grown on nanoMEA substrates exhibit faster migration and neurite outgrowth speeds, greater colocalization of pre- and postsynaptic markers, and enhanced cell-cell communication only revealed through examination of data sets derived from multiple technical replicates. The presented data highlight the nanoMEA as a new tool to facilitate high-throughput, electrophysiological analysis of ordered cardiac and neuronal monolayers, which can have important implications for preclinical analysis of excitable cell function.Entities:
Keywords: Multielectrode arrays; cardiomyocyte; electrophysiology; iPSC; nanotopography; neuron
Mesh:
Year: 2019 PMID: 31845810 PMCID: PMC7547911 DOI: 10.1021/acs.nanolett.9b04152
Source DB: PubMed Journal: Nano Lett ISSN: 1530-6984 Impact factor: 11.189