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Proteomics as a new tool to study fingermark ageing in forensics

机译:蛋白质组学作为研究法医指纹老化的新工具

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Fingermarks are trace evidence of great forensic importance, and their omnipresence makes them pivotal in crime investigation. Police and law enforcement authorities have exploited fingermarks primarily for personal identification, but crucial knowledge on when fingermarks were deposited is often lacking, thereby hindering crime reconstruction. Biomolecular constituents of fingermark residue, such as amino acids, lipids and proteins, may provide excellent means for fingermark age determination, however robust methodologies or detailed knowledge on molecular mechanisms in time are currently not available. Here, we address fingermark age assessment by: (i) drafting a first protein map of fingermark residue, (ii) differential studies of fresh and aged fingermarks and (iii), to mimic real-world scenarios, estimating the effects of donor contact with bodily fluids on the identification of potential age biomarkers. Using a high-resolution mass spectrometry-based proteomics approach, we drafted a characteristic fingermark proteome, of which five proteins were identified as promising candidates for fingermark age estimation. This study additionally demonstrates successful identification of both endogenous and contaminant proteins from donors that have been in contact with various bodily fluids. In summary, we introduce state-of-the-art proteomics as a sensitive tool to monitor fingermark aging on the protein level with sufficient selectivity to differentiate potential age markers from body fluid contaminants.
机译:指纹是具有重要法医重要性的痕迹证据,并且无处不在使它们成为犯罪调查的关键。警察和执法当局主要利用指纹来进行个人识别,但是通常缺乏关于指纹存放时间的关键知识,从而阻碍了犯罪的重建。指状残基的生物分子成分(例如氨基酸,脂质和蛋白质)可能为确定指状年龄提供了极好的方法,但是目前尚无法获得可靠的方法学或及时了解分子机制的详细知识。在这里,我们通过以下方式解决指纹年龄评估问题:(i)绘制指纹残渣的第一个蛋白质图谱;(ii)对新鲜和老化的指纹进行差异研究;以及(iii)模仿现实情况,估计供体与体液对潜在年龄生物标志物的鉴定。使用基于高分辨率质谱的蛋白质组学方法,我们起草了一个特征性的指纹蛋白质组,其中五个蛋白质被确定为指纹年龄估算的有前途的候选者。这项研究还证明成功鉴定了已经与各种体液接触的供体的内源性蛋白质和污染物蛋白质。总而言之,我们将最先进的蛋白质组学作为一种敏感工具来监测蛋白质水平上的指纹老化,并具有足够的选择性,以区分潜在的年龄标记与体液污染物。

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