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Robotic manipulation of cardiomyocytes to identify gap junction modifiers for arrhythmogenic cardiomyopathy.

Authors :
Dou W
Shan G
Zhao Q
Malhi M
Jiang A
Zhang Z
González-Guerra A
Fu S
Law J
Hamilton RM
Bernal JA
Liu X
Sun Y
Maynes JT
Source :
Science robotics [Sci Robot] 2024 Oct 23; Vol. 9 (95), pp. eadm8233. Date of Electronic Publication: 2024 Oct 23.
Publication Year :
2024

Abstract

Arrhythmogenic cardiomyopathy (ACM) is a leading cause of sudden cardiac death among young adults. Aberrant gap junction remodeling has been linked to disease-causative mutations in plakophilin-2 ( PKP2 ). Although gap junctions are a key therapeutic target, measurement of gap junction function in preclinical disease models is technically challenging. To quantify gap junction function with high precision and high consistency, we developed a robotic cell manipulation system with visual feedback from digital holographic microscopy for three-dimensional and label-free imaging of human induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs). The robotic system can accurately determine the dynamic height changes in the cells' contraction and resting phases, microinject drug-treated healthy and diseased iPSC-CMs in their resting phase with constant injection depth across all cells, and deposit a membrane-impermeable dye that solely diffuses between cells through gap junctions for measuring the gap junction diffusion function. The robotic system was applied toward a targeted drug screen to identify gap junction modulators and potential therapeutics for ACM. Five compounds were found to dose-dependently enhance gap junction permeability in cardiomyocytes with PKP2 knockdown. In addition, PCO 400 (pinacidil) reduced beating irregularity in a mouse model of ACM expressing mutant PKP2 (R735X). These results highlight the utility of the robotic cell manipulation system to efficiently assess gap junction function in a relevant preclinical disease model, thus providing a technique to advance drug discovery for ACM and other gap junction-mediated diseases.

Details

Language :
English
ISSN :
2470-9476
Volume :
9
Issue :
95
Database :
MEDLINE
Journal :
Science robotics
Publication Type :
Academic Journal
Accession number :
39441897
Full Text :
https://doi.org/10.1126/scirobotics.adm8233