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High-throughput, real-time monitoring of engineered skeletal muscle function using magnetic sensing

Engineered muscle tissues represent powerful tools for examining tissue level contractile properties of skeletal muscle. However, limitations in the throughput associated with standard analysis methods limit their utility for longitudinal study, high throughput drug screens, and disease modeling. He...

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Autores principales: Smith, Alec ST, Luttrell, Shawn M, Dupont, Jean-Baptiste, Gray, Kevin, Lih, Daniel, Fleming, Jacob W, Cunningham, Nathan J, Jepson, Sofia, Hesson, Jennifer, Mathieu, Julie, Maves, Lisa, Berry, Bonnie J, Fisher, Elliot C, Sniadecki, Nathan J, Geisse, Nicholas A, Mack, David L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445471/
https://www.ncbi.nlm.nih.gov/pubmed/36082311
http://dx.doi.org/10.1177/20417314221122127
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author Smith, Alec ST
Luttrell, Shawn M
Dupont, Jean-Baptiste
Gray, Kevin
Lih, Daniel
Fleming, Jacob W
Cunningham, Nathan J
Jepson, Sofia
Hesson, Jennifer
Mathieu, Julie
Maves, Lisa
Berry, Bonnie J
Fisher, Elliot C
Sniadecki, Nathan J
Geisse, Nicholas A
Mack, David L
author_facet Smith, Alec ST
Luttrell, Shawn M
Dupont, Jean-Baptiste
Gray, Kevin
Lih, Daniel
Fleming, Jacob W
Cunningham, Nathan J
Jepson, Sofia
Hesson, Jennifer
Mathieu, Julie
Maves, Lisa
Berry, Bonnie J
Fisher, Elliot C
Sniadecki, Nathan J
Geisse, Nicholas A
Mack, David L
author_sort Smith, Alec ST
collection PubMed
description Engineered muscle tissues represent powerful tools for examining tissue level contractile properties of skeletal muscle. However, limitations in the throughput associated with standard analysis methods limit their utility for longitudinal study, high throughput drug screens, and disease modeling. Here we present a method for integrating 3D engineered skeletal muscles with a magnetic sensing system to facilitate non-invasive, longitudinal analysis of developing contraction kinetics. Using this platform, we show that engineered skeletal muscle tissues derived from both induced pluripotent stem cell and primary sources undergo improvements in contractile output over time in culture. We demonstrate how magnetic sensing of contractility can be employed for simultaneous assessment of multiple tissues subjected to different doses of known skeletal muscle inotropes as well as the stratification of healthy versus diseased functional profiles in normal and dystrophic muscle cells. Based on these data, this combined culture system and magnet-based contractility platform greatly broadens the potential for 3D engineered skeletal muscle tissues to impact the translation of novel therapies from the lab to the clinic.
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spelling pubmed-94454712022-09-07 High-throughput, real-time monitoring of engineered skeletal muscle function using magnetic sensing Smith, Alec ST Luttrell, Shawn M Dupont, Jean-Baptiste Gray, Kevin Lih, Daniel Fleming, Jacob W Cunningham, Nathan J Jepson, Sofia Hesson, Jennifer Mathieu, Julie Maves, Lisa Berry, Bonnie J Fisher, Elliot C Sniadecki, Nathan J Geisse, Nicholas A Mack, David L J Tissue Eng Original Article Engineered muscle tissues represent powerful tools for examining tissue level contractile properties of skeletal muscle. However, limitations in the throughput associated with standard analysis methods limit their utility for longitudinal study, high throughput drug screens, and disease modeling. Here we present a method for integrating 3D engineered skeletal muscles with a magnetic sensing system to facilitate non-invasive, longitudinal analysis of developing contraction kinetics. Using this platform, we show that engineered skeletal muscle tissues derived from both induced pluripotent stem cell and primary sources undergo improvements in contractile output over time in culture. We demonstrate how magnetic sensing of contractility can be employed for simultaneous assessment of multiple tissues subjected to different doses of known skeletal muscle inotropes as well as the stratification of healthy versus diseased functional profiles in normal and dystrophic muscle cells. Based on these data, this combined culture system and magnet-based contractility platform greatly broadens the potential for 3D engineered skeletal muscle tissues to impact the translation of novel therapies from the lab to the clinic. SAGE Publications 2022-09-02 /pmc/articles/PMC9445471/ /pubmed/36082311 http://dx.doi.org/10.1177/20417314221122127 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Article
Smith, Alec ST
Luttrell, Shawn M
Dupont, Jean-Baptiste
Gray, Kevin
Lih, Daniel
Fleming, Jacob W
Cunningham, Nathan J
Jepson, Sofia
Hesson, Jennifer
Mathieu, Julie
Maves, Lisa
Berry, Bonnie J
Fisher, Elliot C
Sniadecki, Nathan J
Geisse, Nicholas A
Mack, David L
High-throughput, real-time monitoring of engineered skeletal muscle function using magnetic sensing
title High-throughput, real-time monitoring of engineered skeletal muscle function using magnetic sensing
title_full High-throughput, real-time monitoring of engineered skeletal muscle function using magnetic sensing
title_fullStr High-throughput, real-time monitoring of engineered skeletal muscle function using magnetic sensing
title_full_unstemmed High-throughput, real-time monitoring of engineered skeletal muscle function using magnetic sensing
title_short High-throughput, real-time monitoring of engineered skeletal muscle function using magnetic sensing
title_sort high-throughput, real-time monitoring of engineered skeletal muscle function using magnetic sensing
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445471/
https://www.ncbi.nlm.nih.gov/pubmed/36082311
http://dx.doi.org/10.1177/20417314221122127
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