转录组
法医学
计算生物学
推论
沉积(地质)
犯罪现场
生物
计算机科学
统计
心理学
人工智能
数学
遗传学
基因
基因表达
犯罪学
古生物学
沉积物
作者
Jin Zhang,Kaihui Liu,Ruijian Wang,Jingjing Chang,Xiaoyu Xu,Meng Du,Jian Ye,Xueying Yang
标识
DOI:10.1016/j.forsciint.2024.111930
摘要
In forensics, it is important to determine the time since deposition (TSD) of bloodstains, one of the most common types of biological evidence in criminal cases. However, no effective TSD inference methods have been established despite extensive attempts in forensic science. Our study investigated the changes in the blood transcriptome over time, and we found that degradation could be divided into four stages (days 0–2, 4–14, 21–56, and 84–168) at 4 °C. A random forest prediction model based on these transcriptional changes was trained on experimental samples and tested in separate test samples. This model was able to successfully predict TSD (area under the curve [AUC] = 0.995, precision = 1, and recall = 1). Thus, this proof-of-concept pilot study has practical significance for assessing physical evidence. Meanwhile, 11 upregulated and 13 downregulated transcripts were identified as potential time-marker transcripts, laying a foundation for further development of TSD analysis methods in forensic science and crime scene investigation.
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