用于实时研究心肌细胞增殖的细胞周期可视化工具。

IF 4.5 3区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Open Biology Pub Date : 2024-10-01 Epub Date: 2024-10-09 DOI:10.1098/rsob.240167
Rustem Salmenov, Christine Mummery, Menno Ter Huurne
{"title":"用于实时研究心肌细胞增殖的细胞周期可视化工具。","authors":"Rustem Salmenov, Christine Mummery, Menno Ter Huurne","doi":"10.1098/rsob.240167","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":19629,"journal":{"name":"Open Biology","volume":"14 10","pages":"240167"},"PeriodicalIF":4.5000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11461051/pdf/","citationCount":"0","resultStr":"{\"title\":\"Cell cycle visualization tools to study cardiomyocyte proliferation in real-time.\",\"authors\":\"Rustem Salmenov, Christine Mummery, Menno Ter Huurne\",\"doi\":\"10.1098/rsob.240167\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":19629,\"journal\":{\"name\":\"Open Biology\",\"volume\":\"14 10\",\"pages\":\"240167\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11461051/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Open Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1098/rsob.240167\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/9 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1098/rsob.240167","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/9 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

成人心脏中的心肌细胞处于静止状态,心脏损伤后失去的心肌细胞不会被增殖的幸存者取代。为了了解心肌细胞细胞周期的退出和再进入机制,发现能刺激心肌细胞增殖和心脏再生的治疗方法,人们付出了巨大的努力。大型化合物库和机器人液体处理平台的出现使得在一次实验中筛选数千种条件成为可能,但这些筛选的成功与否取决于所用模型的适当性和质量。高通量量化(人类)心肌细胞增殖仍然是个问题,因为传统的抗体染色成本高、技术难度大,而且不能区分心肌细胞分裂与核动或细胞分裂失败。活细胞成像技术为高通量筛选提供了替代方案,但也有其他局限性。在此,我们将(i) 回顾心肌细胞的细胞周期特征,(ii) 讨论各种细胞周期荧光报告系统,(iii) 推测在心肌细胞增殖的背景下如何提高它们的预测价值。最后,我们将考虑如何将这些新方法与最先进的三维人类心脏类器官平台结合使用,以确定可刺激人类心脏再生的促增殖信号通路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Cell cycle visualization tools to study cardiomyocyte proliferation in real-time.

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Open Biology
Open Biology BIOCHEMISTRY & MOLECULAR BIOLOGY-
CiteScore
10.00
自引率
1.70%
发文量
136
审稿时长
6-12 weeks
期刊介绍: Open Biology is an online journal that welcomes original, high impact research in cell and developmental biology, molecular and structural biology, biochemistry, neuroscience, immunology, microbiology and genetics.
期刊最新文献
Axon demyelination and degeneration in a zebrafish spastizin model of hereditary spastic paraplegia. Cebpa is required for haematopoietic stem and progenitor cell generation and maintenance in zebrafish. SID-2 is a conserved extracellular vesicle protein that is not associated with environmental RNAi in parasitic nematodes. Mathematical model of RNA-directed DNA methylation predicts tuning of negative feedback required for stable maintenance. Learning-induced remodelling of inhibitory synapses in the motor cortex.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1