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虚拟 blebbistatin:心肌细胞光学绘图中运动伪影去除的稳健快速软件方法。

Virtual blebbistatin: A robust and rapid software approach to motion artifact removal in optical mapping of cardiomyocytes.

机构信息

Department of Mechanical Engineering and Material Science, Washington University in Saint Louis, St. Louis, MO 63130.

Department of Biomedical Engineering, Washington University in Saint Louis, St. Louis, MO 63130.

出版信息

Proc Natl Acad Sci U S A. 2023 Sep 19;120(38):e2212949120. doi: 10.1073/pnas.2212949120. Epub 2023 Sep 11.

Abstract

Fluorescent reporters of cardiac electrophysiology provide valuable information on heart cell and tissue function. However, motion artifacts caused by cardiac muscle contraction interfere with accurate measurement of fluorescence signals. Although drugs such as blebbistatin can be applied to stop cardiac tissue from contracting by uncoupling calcium-contraction, their usage prevents the study of excitation-contraction coupling and, as we show, impacts cellular structure. We therefore developed a robust method to remove motion computationally from images of contracting cardiac muscle and to map fluorescent reporters of cardiac electrophysiological activity onto images of undeformed tissue. When validated on cardiomyocytes derived from human induced pluripotent stem cells (iPSCs), in both monolayers and engineered tissues, the method enabled efficient and robust reduction of motion artifact. As with pharmacologic approaches using blebbistatin for motion removal, our algorithm improved the accuracy of optical mapping, as demonstrated by spatial maps of calcium transient decay. However, unlike pharmacologic motion removal, our computational approach allowed direct analysis of calcium-contraction coupling. Results revealed calcium-contraction coupling to be more uniform across cells within engineered tissues than across cells in monolayer culture. The algorithm shows promise as a robust and accurate tool for optical mapping studies of excitation-contraction coupling in heart tissue.

摘要

荧光报告基因可用于心脏电生理研究,提供关于心肌细胞和组织功能的有价值的信息。然而,由于心肌收缩引起的运动伪影会干扰荧光信号的准确测量。尽管可以使用肌松剂如 blebbistatin 通过解偶联钙收缩来阻止心肌收缩,但它们的使用会阻止兴奋-收缩偶联的研究,正如我们所展示的,还会影响细胞结构。因此,我们开发了一种从收缩心肌的图像中计算去除运动的稳健方法,并将心脏电生理活动的荧光报告基因映射到未变形组织的图像上。在源自人诱导多能干细胞 (iPSC) 的心肌细胞的单层和工程组织中进行验证时,该方法能够有效地稳健地减少运动伪影。与使用 blebbistatin 进行运动去除的药理学方法一样,我们的算法通过钙瞬变衰减的空间图谱证明了光学映射的准确性得到了提高。然而,与药理学运动去除方法不同,我们的计算方法允许直接分析钙收缩偶联。结果表明,与单层培养的细胞相比,工程组织中的细胞之间钙收缩偶联更加均匀。该算法有望成为心脏组织兴奋-收缩偶联光学映射研究的强大而准确的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b6c/10515162/b72c2485f9b8/pnas.2212949120fig01.jpg

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