MUSCLEMOTION: A Versatile Open Software Tool to Quantify Cardiomyocyte and Cardiac Muscle Contraction In Vitro and In Vivo

被引:237
作者
Sala, Luca [1 ]
van Meer, Berend J. [1 ]
Tertoolen, Leon G. J. [1 ]
Bakkers, Jeroen [3 ,10 ]
Bellin, Milena [1 ]
Davis, Richard P. [1 ]
Denning, Chris [4 ]
Dieben, Michel A. E. [1 ]
Eschenhagen, Thomas [5 ,6 ]
Giacomelli, Elisa [1 ]
Grandela, Catarina [1 ]
Hansen, Arne [5 ,6 ]
Holman, Eduard R. [8 ]
Jongbloed, Monique R. M. [1 ,8 ]
Kamel, Sarah M. [3 ,10 ]
Koopman, Charlotte D. [3 ,10 ]
Lachaud, Quentin [2 ]
Mannhardt, Ingra [5 ,6 ]
Mol, Mervyn P. H. [1 ]
Mosqueira, Diogo [4 ]
Orlova, Valeria V. [1 ]
Passier, Robert [1 ,9 ]
Ribeiro, Marcelo C. [9 ]
Saleem, Umber [5 ,6 ,7 ]
Smith, Godfrey L. [2 ,11 ]
Burton, Francis L. [2 ,11 ]
Mummery, Christine L. [1 ,9 ]
机构
[1] Leiden Univ, Med Ctr, Dept Anat & Embryol, Einthovenweg 20,S-1-P POB 9600, NL-2333 ZC Leiden, Netherlands
[2] Univ Glasgow, Coll Med Vet & Life Sci, Inst Cardiovasc & Med Sci, Glasgow, Lanark, Scotland
[3] Royal Netherlands Acad Arts & Sci, Hubrecht Inst, Utrecht, Netherlands
[4] Univ Nottingham, Dept Stem Cell Biol, Univ Pk, Nottingham, England
[5] Univ Med Ctr Hamburg Eppendorf, Dept Expt Pharmacol & Toxicol, Hamburg, Germany
[6] DZHK German Ctr Cardiovasc Res, Partner Site Hamburg Kiel Lubeck, Berlin, Germany
[7] Univ Med Ctr Hamburg Eppendorf, Dept Expt Pharmacol & Toxicol, Hamburg, Germany
[8] Leiden Univ, Med Ctr, Hart Long Ctr, Leiden, Netherlands
[9] Univ Twente, Dept Appl Stem Cell Technol, Enschede, Netherlands
[10] Univ Med Ctr Utrecht, Dept Med Physiol, Div Heart & Lungs, Utrecht, Netherlands
[11] Clyde Biosci Ltd, BioCity Scotland, Glasgow, Lanark, Scotland
基金
欧洲研究理事会;
关键词
arrhythmias; cardiac; humans; pluripotent stem cells; software; zebrafish; CELL-DERIVED CARDIOMYOCYTES; PLURIPOTENT STEM-CELLS; ENGINEERED HEART-TISSUE; FORCE; MATURATION; DISEASE; PATIENT; ELECTROPHYSIOLOGY; MECHANISMS; PHENOTYPES;
D O I
10.1161/CIRCRESAHA.117.312067
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Rationale: There are several methods to measure cardiomyocyte and muscle contraction, but these require customized hardware, expensive apparatus, and advanced informatics or can only be used in single experimental models. Consequently, data and techniques have been difficult to reproduce across models and laboratories, analysis is time consuming, and only specialist researchers can quantify data. Objective: Here, we describe and validate an automated, open-source software tool (MUSCLEMOTION) adaptable for use with standard laboratory and clinical imaging equipment that enables quantitative analysis of normal cardiac contraction, disease phenotypes, and pharmacological responses. Methods and Results: MUSCLEMOTION allowed rapid and easy measurement of movement from high-speed movies in (1) 1-dimensional in vitro models, such as isolated adult and human pluripotent stem cell-derived cardiomyocytes; (2) 2-dimensional in vitro models, such as beating cardiomyocyte monolayers or small clusters of human pluripotent stem cell-derived cardiomyocytes; (3) 3-dimensional multicellular in vitro or in vivo contractile tissues, such as cardiac organoids, engineered heart tissues, and zebrafish and human hearts. MUSCLEMOTION was effective under different recording conditions (bright-field microscopy with simultaneous patch-clamp recording, phase contrast microscopy, and traction force microscopy). Outcomes were virtually identical to the current gold standards for contraction measurement, such as optical flow, post deflection, edge-detection systems, or manual analyses. Finally, we used the algorithm to quantify contraction in in vitro and in vivo arrhythmia models and to measure pharmacological responses. Conclusions: Using a single open-source method for processing video recordings, we obtained reliable pharmacological data and measures of cardiac disease phenotype in experimental cell, animal, and human models.
引用
收藏
页码:e5 / e16
页数:12
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