Physiologic biomechanics enhance reproducible contractile development in a stem cell derived cardiac muscle platform.
Physiologic biomechanics enhance reproducible contractile development in a stem cell derived cardiac muscle platform.
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DOI:
10.1038/s41467-021-26496-1
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发表时间:
2021-10-25
影响因子:
16.6
通讯作者:
Helms AS
中科院分区:
文献类型:
--
作者:
Tsan YC;DePalma SJ;Zhao YT;Capilnasiu A;Wu YW;Elder B;Panse I;Ufford K;Matera DL;Friedline S;O'Leary TS;Wubshet N;Ho KKY;Previs MJ;Nordsletten D;Isom LL;Baker BM;Liu AP;Helms AS
Human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs) allow investigations in a human cardiac model system, but disorganized mechanics and immaturity of hPSC-CMs on standard two-dimensional surfaces have been hurdles. Here, we developed a platform of micron-scale cardiac muscle bundles to control biomechanics in arrays of thousands of purified, independently contracting cardiac muscle strips on two-dimensional elastomer substrates with far greater throughput than single cell methods. By defining geometry and workload in this reductionist platform, we show that myofibrillar alignment and auxotonic contractions at physiologic workload drive maturation of contractile function, calcium handling, and electrophysiology. Using transcriptomics, reporter hPSC-CMs, and quantitative immunofluorescence, these cardiac muscle bundles can be used to parse orthogonal cues in early development, including contractile force, calcium load, and metabolic signals. Additionally, the resultant organized biomechanics facilitates automated extraction of contractile kinetics from brightfield microscopy imaging, increasing the accessibility, reproducibility, and throughput of pharmacologic testing and cardiomyopathy disease modeling. Investigations of human cardiac disease involving human pluripotent stem cell-derived cardiomyocytes are limited by the disorganized presentation of biomechanical cues resulting in cell immaturity. Here the authors develop a platform of micron-scale 2D cardiac muscle bundles to precisely deliver physiologic cues, improving reproducibility and throughput.
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影响因子:
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作者:
Bray, Mark-Anthony;Sheehy, Sean P.;Parker, Kevin Kit
通讯作者:
Parker, Kevin Kit
影响因子:
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Iseoka H;Miyagawa S;Fukushima S;Saito A;Masuda S;Yajima S;Ito E;Sougawa N;Takeda M;Harada A;Lee JK;Sawa Y
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Sawa Y
影响因子:
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Grosberg A;Alford PW;McCain ML;Parker KK
通讯作者:
Parker KK
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Helms, Adam S.;Tang, Vi T.;Day, Sharlene M.
通讯作者:
Day, Sharlene M.
影响因子:
48
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Burridge, Paul W.;Matsa, Elena;Shukla, Praveen;Lin, Ziliang C.;Churko, Jared M.;Ebert, Antje D.;Lan, Feng;Diecke, Sebastian;Huber, Bruno;Mordwinkin, Nicholas M.;Plews, Jordan R.;Abilez, Oscar J.;Cui, Bianxiao;Gold, Joseph D.;Wu, Joseph C.
通讯作者:
Wu, Joseph C.