TY - JOUR
T1 - Human neuronal networks on micro-electrode arrays are a highly robust tool to study disease-specific genotype-phenotype correlations in vitro
AU - Mossink, Britt
AU - Verboven, Anouk H.A.
AU - van Hugte, Eline J.H.
AU - Klein Gunnewiek, Teun M.
AU - Parodi, Giulia
AU - Linda, Katrin
AU - Schoenmaker, Chantal
AU - Kleefstra, Tjitske
AU - Kozicz, Tamas
AU - van Bokhoven, Hans
AU - Schubert, Dirk
AU - Nadif Kasri, Nael
AU - Frega, Monica
N1 - Publisher Copyright:
© 2021 The Authors
PY - 2021/9/14
Y1 - 2021/9/14
N2 - Micro-electrode arrays (MEAs) are increasingly used to characterize neuronal network activity of human induced pluripotent stem cell (hiPSC)-derived neurons. Despite their gain in popularity, MEA recordings from hiPSC-derived neuronal networks are not always used to their full potential in respect to experimental design, execution, and data analysis. Therefore, we benchmarked the robustness of MEA-derived neuronal activity patterns from ten healthy individual control lines, and uncover comparable network phenotypes. To achieve standardization, we provide recommendations on experimental design and analysis. With such standardization, MEAs can be used as a reliable platform to distinguish (disease-specific) network phenotypes. In conclusion, we show that MEAs are a powerful and robust tool to uncover functional neuronal network phenotypes from hiPSC-derived neuronal networks, and provide an important resource to advance the hiPSC field toward the use of MEAs for disease phenotyping and drug discovery.
AB - Micro-electrode arrays (MEAs) are increasingly used to characterize neuronal network activity of human induced pluripotent stem cell (hiPSC)-derived neurons. Despite their gain in popularity, MEA recordings from hiPSC-derived neuronal networks are not always used to their full potential in respect to experimental design, execution, and data analysis. Therefore, we benchmarked the robustness of MEA-derived neuronal activity patterns from ten healthy individual control lines, and uncover comparable network phenotypes. To achieve standardization, we provide recommendations on experimental design and analysis. With such standardization, MEAs can be used as a reliable platform to distinguish (disease-specific) network phenotypes. In conclusion, we show that MEAs are a powerful and robust tool to uncover functional neuronal network phenotypes from hiPSC-derived neuronal networks, and provide an important resource to advance the hiPSC field toward the use of MEAs for disease phenotyping and drug discovery.
KW - human induced pluripotent stem cells
KW - micro-electrode arrays
KW - neuronal differentiation
KW - neuronal network activity
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UR - http://www.scopus.com/inward/citedby.url?scp=85114680271&partnerID=8YFLogxK
U2 - 10.1016/j.stemcr.2021.07.001
DO - 10.1016/j.stemcr.2021.07.001
M3 - Article
C2 - 34329594
AN - SCOPUS:85114680271
SN - 2213-6711
VL - 16
SP - 2182
EP - 2196
JO - Stem Cell Reports
JF - Stem Cell Reports
IS - 9
ER -