Abstract

Correctly identifying the human hair anatomic location found at crime scenes can link biological sample donors with the actual crime event, thus providing significant insight into the crime scene reconstruction. Forensic proteomic studies on human hairs can facilitate the development of new biomarkers for hair identification while compensating for the limitations of the conventional morphologic hair comparison and DNA analysis. Herein, the LC-MS/MS platform was used to find differentially expressed protein biomarkers in hairs from different body sites. The findings indicated that a total of 296 protein biomarkers with statistically significant differences in body sites were initially identified, and hair samples from the scalp, pubic, and armpit parts were distinguished from each other, which were validated by multiple bioinformatic methods. Fewer differences in protein patterns between armpit and pubic hairs while larger differences between hair and armpit as well as pubic hairs provided reasonable evidence of sexual or close intimate contact in crimes. This study lays the foundation for the development of a more reliable strategy to distinguish human hairs of various body areas from Chinese and will also support microscopic hair comparison analysis and assist in the proper handling of legal proceedings in relative cases by judicial officers, deserving special attention and further in-depth investigation. The MS proteomics data have been deposited to the ProteomeXchange Consortium via the iProX partner repository with the dataset identifier PXD038173.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.