青年和老年C57小鼠左心室和窦房结的转录组。

Fortune journal of health sciences Pub Date : 2023-01-01 Epub Date: 2023-09-27 DOI:10.26502/fjhs.134
Jia-Hua Qu, Kirill V Tarasov, Yelena S Tarasova, Khalid Chakir, Edward G Lakatta
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引用次数: 0

摘要

年龄的增长是心血管疾病(CVD)最重要的危险因素。心脏起搏器内的两种细胞,即窦房结(SAN)和左心室(LV),控制着心脏功能的两个关键特征,即心率和收缩强度。随着年龄的增长,心脏结构发生重塑,SAN和LV细胞功能恶化,从而增加了心血管疾病的风险。然而,SAN和LV细胞中与年龄相关的变化的不同分子特征从未在衰老背景下的组学尺度上进行过比较。我们对四组样本进行了深度RNA测序,即年轻LV、老年LV、年轻SAN和老年SAN,随后进行了大量生物信息学分析。除了分析两个心室之间基因表达模式的差异(LV与SAN)外,我们还确定了心室特异性一致或不一致的年龄相关变化:(1)与心肌细胞收缩相关的能量产生相关的基因,(2)与转录后处理相关的基因;(3)参与KEGG寿命调节途径的基因,(4)GenAge数据库中记录和策划的长寿和抗长寿基因,以及(5)CVD标记基因。我们的生物信息学分析还预测了调节活性,并绘制了上游调节因子的表达图,包括转录调节因子和转录后调节因子miRNA。这一综合分析促进了我们对心脏功能调节的理解,并将有助于发现老年心血管疾病的基因特异性治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Transcriptome of Left Ventricle and Sinoatrial Node in Young and Old C57 Mice.

Transcriptome of Left Ventricle and Sinoatrial Node in Young and Old C57 Mice.

Transcriptome of Left Ventricle and Sinoatrial Node in Young and Old C57 Mice.

Transcriptome of Left Ventricle and Sinoatrial Node in Young and Old C57 Mice.

Advancing age is the most important risk factor for cardiovascular diseases (CVDs). Two types of cells, within the heart pacemaker, sinoatrial node (SAN), and within the left ventricle (LV), control two crucial characteristics of heart function, heart beat rate and contraction strength. As age advances, the heart's structure becomes remodeled, and SAN and LV cell functions deteriorate, thus increasing the risk for CVDs. However, the different molecular features of age-associated changes in SAN and LV cells have never been compared in omics scale in the context of aging. We applied deep RNA sequencing to four groups of samples, young LV, old LV, young SAN and old SAN, followed by numerous bioinformatic analyses. In addition to profiling the differences in gene expression patterns between the two heart chambers (LV vs. SAN), we also identified the chamber-specific concordant or discordant age-associated changes in: (1) genes linked to energy production related to cardiomyocyte contraction, (2) genes related to post-transcriptional processing, (3) genes involved in KEGG longevity regulating pathway, (4) prolongevity and antilongevity genes recorded and curated in the GenAge database, and (5) CVD marker genes. Our bioinformatic analysis also predicted the regulation activities and mapped the expression of upstream regulators including transcription regulators and post-transcriptional regulator miRNAs. This comprehensive analysis promotes our understanding of regulation of heart functions and will enable discovery of gene-specific therapeutic targets of CVDs in advanced age.

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