Versatile open software to quantify cardiomyocyte and cardiac muscle contraction in vitro and in vivo

Luca Sala, Berend J. Van Meer, Leon G.J. Tertoolen, Jeroen Bakkers, Milena Bellin, Richard P. Davis, Chris Denning, Michel A.E. Dieben, Thomas Eschenhagen, Elisa Giacomelli, Catarina Grandela, Arne Hansen, Eduard R. Holman, Monique R.M. Jongbloed, Sarah M. Kamel, Charlotte D. Koopman, Quentin Lachaud, Ingra Mannhardt, Mervyn P.H. Mol, Valeria V. Orlova & 6 others Robert Passier, Marcelo C. Ribeiro, Umber Saleem, Godfrey L. Smith, Christine L Mummery, Francis L. Burton

Research output: Working paperProfessional

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Abstract

Contraction of muscle reflects its physiological state. Methods to quantify contraction are often complex, expensive and tailored to specific models or recording conditions, or require specialist knowledge for data extraction. Here we describe 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. MUSCLEMOTION allowed rapid and easy measurement of contractility in (i) single cardiomyocytes from primary adult heart and human pluripotent stem cells, (ii) multicellular 2D-cardiomyocyte cultures, 3D engineered heart tissues and cardiac organoids/microtissues in vitro and (iii) intact hearts of zebrafish and humans in vivo. Good correlation was found with conventional measures of contraction in each system. Thus, using a single method for processing video recordings, we obtained reliable pharmacological data and measures of cardiac disease phenotype in experimental cell- and animal models and human echocardiograms.
Original languageEnglish
PublisherbioRxiv
DOIs
Publication statusPublished - 2017

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Muscle Contraction
Cardiac Myocytes
Myocardium
Software
Heart Diseases
Organoids
Pharmacology
Phenotype
Video Recording
Pluripotent Stem Cells
Zebrafish
Animal Models
Equipment and Supplies
In Vitro Techniques

Cite this

Sala, L., Van Meer, B. J., Tertoolen, L. G. J., Bakkers, J., Bellin, M., Davis, R. P., ... Burton, F. L. (2017). Versatile open software to quantify cardiomyocyte and cardiac muscle contraction in vitro and in vivo. bioRxiv. https://doi.org/10.1101/160754
Sala, Luca ; Van Meer, Berend J. ; Tertoolen, Leon G.J. ; Bakkers, Jeroen ; Bellin, Milena ; Davis, Richard P. ; Denning, Chris ; Dieben, Michel A.E. ; Eschenhagen, Thomas ; Giacomelli, Elisa ; Grandela, Catarina ; Hansen, Arne ; Holman, Eduard R. ; Jongbloed, Monique R.M. ; Kamel, Sarah M. ; Koopman, Charlotte D. ; Lachaud, Quentin ; Mannhardt, Ingra ; Mol, Mervyn P.H. ; Orlova, Valeria V. ; Passier, Robert ; Ribeiro, Marcelo C. ; Saleem, Umber ; Smith, Godfrey L. ; Mummery, Christine L ; Burton, Francis L. / Versatile open software to quantify cardiomyocyte and cardiac muscle contraction in vitro and in vivo. bioRxiv, 2017.
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abstract = "Contraction of muscle reflects its physiological state. Methods to quantify contraction are often complex, expensive and tailored to specific models or recording conditions, or require specialist knowledge for data extraction. Here we describe 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. MUSCLEMOTION allowed rapid and easy measurement of contractility in (i) single cardiomyocytes from primary adult heart and human pluripotent stem cells, (ii) multicellular 2D-cardiomyocyte cultures, 3D engineered heart tissues and cardiac organoids/microtissues in vitro and (iii) intact hearts of zebrafish and humans in vivo. Good correlation was found with conventional measures of contraction in each system. Thus, using a single method for processing video recordings, we obtained reliable pharmacological data and measures of cardiac disease phenotype in experimental cell- and animal models and human echocardiograms.",
author = "Luca Sala and {Van Meer}, {Berend J.} and Tertoolen, {Leon G.J.} and Jeroen Bakkers and Milena Bellin and Davis, {Richard P.} and Chris Denning and Dieben, {Michel A.E.} and Thomas Eschenhagen and Elisa Giacomelli and Catarina Grandela and Arne Hansen and Holman, {Eduard R.} and Jongbloed, {Monique R.M.} and Kamel, {Sarah M.} and Koopman, {Charlotte D.} and Quentin Lachaud and Ingra Mannhardt and Mol, {Mervyn P.H.} and Orlova, {Valeria V.} and Robert Passier and Ribeiro, {Marcelo C.} and Umber Saleem and Smith, {Godfrey L.} and Mummery, {Christine L} and Burton, {Francis L.}",
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Sala, L, Van Meer, BJ, Tertoolen, LGJ, Bakkers, J, Bellin, M, Davis, RP, Denning, C, Dieben, MAE, Eschenhagen, T, Giacomelli, E, Grandela, C, Hansen, A, Holman, ER, Jongbloed, MRM, Kamel, SM, Koopman, CD, Lachaud, Q, Mannhardt, I, Mol, MPH, Orlova, VV, Passier, R, Ribeiro, MC, Saleem, U, Smith, GL, Mummery, CL & Burton, FL 2017 'Versatile open software to quantify cardiomyocyte and cardiac muscle contraction in vitro and in vivo' bioRxiv. https://doi.org/10.1101/160754

Versatile open software to quantify cardiomyocyte and cardiac muscle contraction in vitro and in vivo. / Sala, Luca; Van Meer, Berend J.; Tertoolen, Leon G.J.; Bakkers, Jeroen; Bellin, Milena; Davis, Richard P.; Denning, Chris; Dieben, Michel A.E.; Eschenhagen, Thomas; Giacomelli, Elisa; Grandela, Catarina; Hansen, Arne; Holman, Eduard R.; Jongbloed, Monique R.M.; Kamel, Sarah M.; Koopman, Charlotte D.; Lachaud, Quentin; Mannhardt, Ingra; Mol, Mervyn P.H.; Orlova, Valeria V.; Passier, Robert; Ribeiro, Marcelo C.; Saleem, Umber; Smith, Godfrey L.; Mummery, Christine L; Burton, Francis L.

bioRxiv, 2017.

Research output: Working paperProfessional

TY - UNPB

T1 - Versatile open software to quantify cardiomyocyte and cardiac muscle contraction in vitro and in vivo

AU - Sala, Luca

AU - Van Meer, Berend J.

AU - Tertoolen, Leon G.J.

AU - Bakkers, Jeroen

AU - Bellin, Milena

AU - Davis, Richard P.

AU - Denning, Chris

AU - Dieben, Michel A.E.

AU - Eschenhagen, Thomas

AU - Giacomelli, Elisa

AU - Grandela, Catarina

AU - Hansen, Arne

AU - Holman, Eduard R.

AU - Jongbloed, Monique R.M.

AU - Kamel, Sarah M.

AU - Koopman, Charlotte D.

AU - Lachaud, Quentin

AU - Mannhardt, Ingra

AU - Mol, Mervyn P.H.

AU - Orlova, Valeria V.

AU - Passier, Robert

AU - Ribeiro, Marcelo C.

AU - Saleem, Umber

AU - Smith, Godfrey L.

AU - Mummery, Christine L

AU - Burton, Francis L.

PY - 2017

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N2 - Contraction of muscle reflects its physiological state. Methods to quantify contraction are often complex, expensive and tailored to specific models or recording conditions, or require specialist knowledge for data extraction. Here we describe 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. MUSCLEMOTION allowed rapid and easy measurement of contractility in (i) single cardiomyocytes from primary adult heart and human pluripotent stem cells, (ii) multicellular 2D-cardiomyocyte cultures, 3D engineered heart tissues and cardiac organoids/microtissues in vitro and (iii) intact hearts of zebrafish and humans in vivo. Good correlation was found with conventional measures of contraction in each system. Thus, using a single method for processing video recordings, we obtained reliable pharmacological data and measures of cardiac disease phenotype in experimental cell- and animal models and human echocardiograms.

AB - Contraction of muscle reflects its physiological state. Methods to quantify contraction are often complex, expensive and tailored to specific models or recording conditions, or require specialist knowledge for data extraction. Here we describe 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. MUSCLEMOTION allowed rapid and easy measurement of contractility in (i) single cardiomyocytes from primary adult heart and human pluripotent stem cells, (ii) multicellular 2D-cardiomyocyte cultures, 3D engineered heart tissues and cardiac organoids/microtissues in vitro and (iii) intact hearts of zebrafish and humans in vivo. Good correlation was found with conventional measures of contraction in each system. Thus, using a single method for processing video recordings, we obtained reliable pharmacological data and measures of cardiac disease phenotype in experimental cell- and animal models and human echocardiograms.

U2 - 10.1101/160754

DO - 10.1101/160754

M3 - Working paper

BT - Versatile open software to quantify cardiomyocyte and cardiac muscle contraction in vitro and in vivo

PB - bioRxiv

ER -

Sala L, Van Meer BJ, Tertoolen LGJ, Bakkers J, Bellin M, Davis RP et al. Versatile open software to quantify cardiomyocyte and cardiac muscle contraction in vitro and in vivo. bioRxiv. 2017. https://doi.org/10.1101/160754