seneR:用于全面评估衰老的R包及其在2型糖尿病和骨关节炎中的应用
Yi Zhang1, Xinming Zhang2, Cheng Chen3
1Department of Orthopedics, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200092, China.
Computational and structural biotechnology journal
|January 19, 2026
概括
一个新的R包, seneR,有助于通过转录组数据识别衰老细胞. 它揭示了衰老的表现.
科学领域:
- 老龄化和老年学
- 计算生物学 计算生物学
- 分子生物学分子生物学
背景情况:
- 细胞衰老驱动衰老和疾病,但难以准确识别.
- 现有的生物标志物有局限性,衰老是异质的.
- 转录组数据提供了洞察力,但缺乏用于衰老评估的计算工具.
研究的目的:
- 从转录基因数据开发一个计算框架来评估细胞衰老.
- 引入 seneR R 套件用于衰老分析.
- 为了研究衰老在2型糖尿病和骨关节炎中的作用.
主要方法:
- 开发了 seneR R 软件包,其中包含了衰老身份评分 (SID 评分),表型评估和轨迹绘图等功能.
- 应用于人类小岛和状细胞转录组数据集的 seneR.
- 在体外对托胺 (PM) 进行了对状细胞衰老的验证.
主要成果:
- seneR在转录基因数据中准确地识别了衰老细胞和相关的表型.
- 在2型糖尿病中,老年群岛中较高的SID得分与胰岛素分泌受损相关.
- 在骨关节炎中,seneR将SLPI确定为与衰老相关的,PM治疗降低了SID得分.
结论:
- seneR包是一个有价值的工具,用于从转录基因数据中评估衰老.
- seneR有助于识别与疾病相关的表型和治疗点.
- SLPI和胺在理解和治疗与衰老相关的疾病方面显示出潜力.
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