从单个血液样本对人类生理时间的平台独立估计
Yitong Huang1,2, Rosemary Braun1,2,3,4,5,6
1Department of Molecular Biosciences, Northwestern University, Evanston, IL 60208.
概括
时间机器是一个新的算法,可以使用基因表达来预测从单次抽血中预测人类的昼夜周期. 该工具为个性化医疗提供了准确的,可概括的生理时间评估.
科学领域:
- 时间生物学 时间生物学
- 基因组学就是基因组学.
- 计算生物学 计算生物学
背景情况:
- 昼夜节律显著影响人类健康,影响从心脏病到神经退行症的疾病.
- 精确确定个体的昼夜阶段对于个性化诊断和慢性治疗至关重要.
- 目前评估生理时间的方法缺乏准确性,易用性和广泛适用性.
研究的目的:
- 开发和验证TimeMachine,一种使用基因表达数据预测人类昼夜阶段的算法.
- 证明TimeMachine在各种数据集和平台上的可通用性和准确性.
- 为在临床和研究环境中准确评估昼夜时间提供一个强大的工具.
主要方法:
- 开发了TimeMachine,一种利用外围血液单核细胞中的基因表达的算法.
- 在单个研究的数据上训练算法.
- 与四个独立的数据集对训练的预测器进行了验证,这些数据集具有不同的实验协议和测试平台 (microarray,RNAseq).
主要成果:
- 时间机器准确地预测了昼夜时间,平均绝对误差为1.65至2.7小时.
- 该算法在无需重新训练或数据重新规范化的情况下,在独立数据集中展示了通用性.
- 尽管实验协议和转录基因分析技术存在差异,但性能是一致的.
结论:
- 时间机器提供了一个准确的,最小负担的,广泛适用的方法来确定人类昼夜阶段.
- 该算法的可通用性使其能够灵活地应用于新样本和现有的转录组数据.
- 这种工具在推进精确诊断和个性化治疗时间方面具有重大潜力.
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