通过时空转录组测序探索小鼠心脏发育的细胞和分子基础。

IF 11.8 2区 生物学 Q1 MULTIDISCIPLINARY SCIENCES
Jingmin Kang, Qingsong Li, Jie Liu, Lin Du, Peng Liu, Fuyan Liu, Yue Wang, Xunan Shen, Xujiao Luo, Ninghe Wang, Renhua Wu, Lei Song, Jizheng Wang, Xin Liu
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引用次数: 0

摘要

背景:空间转录组学是一种强大的工具,它将分子数据与空间信息相结合,从而促进对组织形态和细胞相互作用的更深入理解。在我们的研究中,我们利用尖端的空间转录组测序技术来探索小鼠心脏的发育,并构建了一个全面的早期小鼠心脏发育的时空细胞图谱。结果:通过对该图谱的分析,我们阐明了心脏细胞谱系的空间组织及其在发育过程中的相互作用。值得注意的是,我们观察到成纤维细胞和心肌细胞内基因表达的动态变化。此外,我们确定了关键基因,如Igf2、H19和Tcap,以及转录因子Tcf12和Plagl1,这些基因可能与早期心脏发育过程中心肌再生能力的丧失有关。此外,我们成功地鉴定出了能够区分左心房和右心房的标记基因,如Adamts8和Bmp10。结论:我们的研究为小鼠心脏发育提供了新的见解,并为心脏研究领域的未来研究提供了宝贵的资源,突出了空间转录组学在理解器官发育复杂过程中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the cellular and molecular basis of murine cardiac development through spatiotemporal transcriptome sequencing.

Background: Spatial transcriptomics is a powerful tool that integrates molecular data with spatial information, thereby facilitating a deeper comprehension of tissue morphology and cellular interactions. In our study, we utilized cutting-edge spatial transcriptome sequencing technology to explore the development of the mouse heart and construct a comprehensive spatiotemporal cell atlas of early murine cardiac development.

Results: Through the analysis of this atlas, we elucidated the spatial organization of cardiac cellular lineages and their interactions during the developmental process. Notably, we observed dynamic changes in gene expression within fibroblasts and cardiomyocytes. Moreover, we identified critical genes, such as Igf2, H19, and Tcap, as well as transcription factors Tcf12 and Plagl1, which may be associated with the loss of myocardial regeneration ability during early heart development. In addition, we successfully identified marker genes, like Adamts8 and Bmp10, that can distinguish between the left and right atria.

Conclusion: Our study provides novel insights into murine cardiac development and offers a valuable resource for future investigations in the field of heart research, highlighting the significance of spatial transcriptomics in understanding the complex processes of organ development.

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来源期刊
GigaScience
GigaScience MULTIDISCIPLINARY SCIENCES-
CiteScore
15.50
自引率
1.10%
发文量
119
审稿时长
1 weeks
期刊介绍: GigaScience seeks to transform data dissemination and utilization in the life and biomedical sciences. As an online open-access open-data journal, it specializes in publishing "big-data" studies encompassing various fields. Its scope includes not only "omic" type data and the fields of high-throughput biology currently serviced by large public repositories, but also the growing range of more difficult-to-access data, such as imaging, neuroscience, ecology, cohort data, systems biology and other new types of large-scale shareable data.
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