| Literature DB >> 33395532 |
Jake A Melby1, Willem J de Lange2, Jianhua Zhang3, David S Roberts1, Stanford D Mitchell4, Trisha Tucholski1, Gina Kim3, Andreas Kyrvasilis4, Sean J McIlwain5,6, Timothy J Kamp4,3, J Carter Ralphe2, Ying Ge1,4,7.
Abstract
Three-dimensional (3D) human induced pluripotent stem cell-derived engineered cardiac tissues (hiPSC-ECTs) have emerged as a promising alternative to two-dimensional hiPSC-cardiomyocyte monolayer systems because hiPSC-ECTs are a closer representation of endogenous cardiac tissues and more faithfully reflect the relevant cardiac pathophysiology. The ability to perform functional and molecular assessments using the same hiPSC-ECT construct would allow for more reliable correlation between observed functional performance and underlying molecular events, and thus is critically needed. Herein, for the first time, we have established an integrated method that permits sequential assessment of functional properties and top-down proteomics from the same single hiPSC-ECT construct. We quantitatively determined the differences in isometric twitch force and the sarcomeric proteoforms between two groups of hiPSC-ECTs that differed in the duration of time of 3D-ECT culture. Importantly, by using this integrated method we discovered a new and strong correlation between the measured contractile parameters and the phosphorylation levels of alpha-tropomyosin between the two groups of hiPSC-ECTs. The integration of functional assessments together with molecular characterization by top-down proteomics in the same hiPSC-ECT construct enables a holistic analysis of hiPSC-ECTs to accelerate their applications in disease modeling, cardiotoxicity, and drug discovery. Data are available via ProteomeXchange with identifier PXD022814.Entities:
Keywords: cardiac function; engineered cardiac tissue; human pluripotent stem cell; proteoform; top-down proteomics
Mesh:
Year: 2021 PMID: 33395532 PMCID: PMC7872211 DOI: 10.1021/acs.jproteome.0c00830
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466