统计能力和生物标志物识别的挑战和机会,源于蛋白质组学中的节律变化
Matt Spick1, Cheryl M Isherwood2, Lee A Gethings1,3
1School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH UK.
Npj biological timing and sleep
|January 28, 2025
概括
每天时间的蛋白质变化可能会阻碍生物标志物的发现. 在蛋白质组学研究中考虑这些昼夜节律可以提高准确性和可重复性.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 时间生物学 时间生物学
- 生物标志物发现发现
背景情况:
- 分子形状的日间时间变化是已知的,但在蛋白质组学中经常被忽视.
- 这种时间变化给可复制生物标志物识别带来了挑战.
研究的目的:
- 分析人类蛋白质中的昼夜和超昼夜节律.
- 研究时间变化对生物标志物发现和统计能力的影响.
- 建议最佳实践,以计算蛋白质组学中的一天时间效应.
主要方法:
- 人类蛋白质节律性的案例研究分析.
- 统计分析,以评估差异对II型错误的影响.
- 评估控制时间变化的方法.
主要成果:
- 证明了蛋白质PLG,CFAH,ZA2G和ITIH2.2的新生昼夜节律性.
- 表明蛋白质节律性增加了II型错误 (错误负面) 的风险.
- 证实,控制一天中的时间变化可以提高统计能力并减少II型错误.
结论:
- 蛋白质组学中的时间变化显著影响生物标志物的发现和可重复性.
- 对日间采样进行核算对于稳健的蛋白质组学研究设计至关重要.
- 报告采样时间作为元数据可以改善数据解释并减少错误.
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