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细胞周期可视化工具,用于实时研究心肌细胞增殖。

Cell cycle visualization tools to study cardiomyocyte proliferation in real-time.

机构信息

Department of Anatomy and Embryology, Leiden University Medical Center, Leiden 2300RC, The Netherlands.

The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Leiden University Medical Center, Leiden 2300RC, The Netherlands.

出版信息

Open Biol. 2024 Oct;14(10):240167. doi: 10.1098/rsob.240167. Epub 2024 Oct 9.

Abstract

Cardiomyocytes in the adult human heart are quiescent and those lost following heart injury are not replaced by proliferating survivors. Considerable effort has been made to understand the mechanisms underlying cardiomyocyte cell cycle exit and re-entry, with view to discovering therapeutics that could stimulate cardiomyocyte proliferation and heart regeneration. The advent of large compound libraries and robotic liquid handling platforms has enabled the screening of thousands of conditions in a single experiment but success of these screens depends on the appropriateness and quality of the model used. Quantification of (human) cardiomyocyte proliferation in high throughput has remained problematic because conventional antibody-based staining is costly, technically challenging and does not discriminate between cardiomyocyte division and failure in karyokinesis or cytokinesis. Live cell imaging has provided alternatives that facilitate high-throughput screening but these have other limitations. Here, we (i) review the cell cycle features of cardiomyocytes, (ii) discuss various cell cycle fluorescent reporter systems, and (iii) speculate on what could improve their predictive value in the context of cardiomyocyte proliferation. Finally, we consider how these new methods can be used in combination with state-of-the-art three-dimensional human cardiac organoid platforms to identify pro-proliferative signalling pathways that could stimulate regeneration of the human heart.

摘要

成人心肌细胞处于静止状态,心脏损伤后丢失的细胞不会被增殖的存活细胞所替代。人们已经付出了相当大的努力来理解导致心肌细胞细胞周期退出和重新进入的机制,以期发现能够刺激心肌细胞增殖和心脏再生的治疗方法。大型化合物库和机器人液体处理平台的出现使人们能够在一次实验中筛选数千种条件,但这些筛选的成功取决于所使用模型的适当性和质量。高通量(人类)心肌细胞增殖的定量仍然存在问题,因为传统的基于抗体的染色既昂贵,技术上也具有挑战性,并且不能区分心肌细胞分裂与有丝分裂或胞质分裂中的失败。活细胞成像提供了替代方法,便于高通量筛选,但这些方法也有其他限制。在这里,我们(i)回顾了心肌细胞的细胞周期特征,(ii)讨论了各种细胞周期荧光报告系统,(iii)推测了在心肌细胞增殖的背景下,哪些因素可以提高它们的预测价值。最后,我们考虑了这些新方法如何与最先进的三维人类心脏类器官平台相结合,以识别可能刺激人类心脏再生的促增殖信号通路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17af/11461051/5a9edbc66c62/rsob.240167.f001.jpg

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