蛋白质组学在法医表型分析中的潜力:以生物学性别估计为重点。

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Shirin Alex, , , Ruben Almey, , , Rachel Sian Dennis, , , Olivier Tytgat, , , Robbin Bouwmeester, , , Dieter Deforce, , , Marcel De Puit, , , Maarten Dhaenens*, , and , Laura De Clerck, 
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引用次数: 0

摘要

法医DNA分析是很好的建立表型,提供有价值的调查线索。蛋白质组学,对蛋白质的大规模研究,正在成为DNA分析的补充工具,特别是在增强痕迹的证据价值方面。本研究探索了蛋白质组学从全血中提取表型特征的潜力,以生物学性别的估计为起点。利用LC-MS/MS对100份已知性别的全血样本进行蛋白质组学分析,建立生物性别分类器。模型的交叉验证突出了模型实现准确分类的能力,识别关键肽,例如来自妊娠带蛋白和铜蓝蛋白的肽,作为关键标记。为了测试现实世界的适用性,生成了模拟案例样本,引起了对模型鲁棒性的关注。总体而言,我们的研究结果表明,在法医背景下,使用蛋白质组学从全血样本中推断表型特征虽然可行,但受到难以克服的技术挑战的阻碍。因此,我们建议未来的法医蛋白质组学研究应侧重于信息最丰富的领域,如来源归属和估计事件的时间线,而不是专注于提取供体分析的表型特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Potential of Proteomics in Forensic Phenotyping: A Focus on Biological Sex Estimation

Forensic DNA analysis is well established for phenotyping, providing valuable investigative leads. Proteomics, the large-scale study of proteins, is emerging as a complementary tool to DNA analysis, particularly for enhancing the evidential value of traces. This study explores the potential of proteomics to extract phenotypic traits from whole blood, using the estimation of biological sex as a starting point. Using LC–MS/MS, proteomes from 100 whole blood samples of known sex were analyzed to develop a biological sex classifier. Cross-validation of the model highlighted the model’s ability to achieve accurate classification, identifying key peptides, such as those from pregnancy zone protein and ceruloplasmin, as critical markers. To test real-world applicability, mock case samples were generated, bringing attention to the need for model robustness. Overall, our results suggest that using proteomics to infer phenotypic traits from whole blood samples in the context of forensics, while feasible, is hindered by hard-to-overcome technical challenges. We therefore recommend that future forensic proteomics research be directed toward areas where it can be most informative, such as source attribution and estimating the timeline of events, rather than focusing on extracting phenotypic traits for donor profiling.

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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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