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在非人类样本中检测人类污染物遗传变异

Fanny Chu¹, Andy Lin¹

¹Chemical and Biological Signatures, Pacific Northwest National Laboratory, Seattle, Washington 98109, United States.

Journal of proteome research

|December 20, 2024

概括

在非人类蛋白质组数据中检测到人类遗传变异 (GVPs),这表明它们是常见的污染物. 这些发现凸显了更新标准污染物数据库的必要性,以便进行准确的质谱分析.

科学领域:

蛋白质组学是指蛋白质组学.
质谱测量质量谱测量
生物信息学是一种生物信息学.

背景情况:

蛋白质组学数据分析依赖于对精选的蛋白质数据库进行实验性光谱的搜索.
标准数据库通常包括生物体的蛋白质组和常见的污染物,如素和质素.
然而,其他污染物可能存在,但通常不会被包含在搜索数据库中.

研究的目的:

在基于质谱的蛋白质组学数据中识别和描述一组新型的蛋白质污染物.
为在非人类样本中检测人类遗传变异 (GVPs) 提供证据.
评估这些GVP在蛋白质组学数据集中的流行程度和来源.

主要方法:

重新分析以前收集的非人类数据依赖获取 (DDA) 和数据独立获取 (DIA) 质谱数据集.
识别含有单氨基酸多态 (人体GVP) 的.
统计分析以确定检测到的GVPs非人类起源的可能性.

主要成果:

每个分析的非人类数据集中检测到0到135个人类GVP.
证据表明,检测到的GVPs不太可能来自非人类生物来源.
在多个数据集中经常检测到八个GVP的共同子集.

结论:

人类GVPs在蛋白质组学中代表了一类以前未知的污染物.
在非人类样本中常规检测GVP,需要将其纳入标准污染物数据库.
使用GVP更新搜索数据库将提高蛋白质组学数据解释的准确性和可靠性.

关键词:

污染物的污染物是污染物.法医蛋白质组学法医蛋白质组学有基因变异的类.液态染色学-双重质谱学质谱学

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