慢性应激后小鼠左心室的单核谱。

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Yaping Li, Xia Liu, Huaxing Zhang, Qian Wang, Yan Zhu, Haibo Xu, Qinmin Chen, Shulin Xiang, Han Xiao, Qian Qi, Bin Cong
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引用次数: 0

摘要

人们普遍认为压力和心脏病有关,但确切的机制仍有争议。虽然应激已被科学证实为诱发因素,但目前仍缺乏定性和定量的应激性心脏损伤指标体系。法医证据经常表明,心源性猝死的病例往往是在长期暴露于慢性应激因素之后发生的。然而,在慢性应激的病理和生理过程中,触发和调节这些活动的细胞反应和机制仍然知之甚少。左心室作为心血管疾病的重要靶器官,在慢性应激条件下,其细胞异质性尚不清楚。利用单核RNA测序(snRNA-seq),我们建立了99154个左室细胞(42491个应激细胞和56663个对照细胞)的细胞图谱,全面分析了所有主要心脏细胞类型。由此产生的数据集不仅为破译心血管功能障碍慢性应激的分子机制提供了基础,而且还为未来的诊断和治疗策略确定了潜在的生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Single-nucleus profiling of the left ventricle of the mouse heart after chronic stress.

Single-nucleus profiling of the left ventricle of the mouse heart after chronic stress.

Single-nucleus profiling of the left ventricle of the mouse heart after chronic stress.

Single-nucleus profiling of the left ventricle of the mouse heart after chronic stress.

It is widely accepted that stress and cardiac disease are related, but the exact mechanism is still up for debate. Although stress has been scientifically confirmed as a causative factor, there is still a lack of qualitative and quantitative indicator systems for stress-induced cardiac injury. The forensic evidence frequently indicates that cases of sudden cardiac death are often preceded by prolonged exposure to chronic stress factors. However, the cellular responses and mechanisms that trigger and regulate these activities in the pathological and physiological processes of chronic stress are still poorly understood. The left ventricle (LV), as a critical target organ in cardiovascular diseases, still has unclear cellular heterogeneity under chronic stress. Using single-nucleus RNA sequencing (snRNA-seq), we established a cellular atlas of 99,154 LV cells (42,491 stress and 56,663 control), comprehensively profiling all major cardiac cell types. The resulting dataset not only provides a foundation for deciphering the molecular mechanisms underlying chronic stress in cardiovascular dysfunction but also enables the identification of potential biomarkers for future diagnostic and therapeutic strategies.

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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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