Sensitive Method for the Confident Identification of Genetically Variant Peptides in Human Hair Keratin. Issue 2 (31st October 2019)

• Record Type: Journal Article
• Authors: Zhang, Zheng; Burke, Meghan C.; Wallace, William E.; Liang, Yuxue; Sheetlin, Sergey L.; Mirokhin, Yuri A.; Tchekhovskoi, Dmitrii V.; Stein, Stephen E.
• Is Part Of: Journal of forensic sciences. Volume 65:Issue 2(2020)
• Page Start: 406
• Page End: 420
• Publication Date: 2019-10-31
• Subjects: forensic science -- genetically variant peptide -- hair protein extraction -- cuticular keratins -- peptide mass spectral library -- trace detection; Medical jurisprudence -- Periodicals; Forensic sciences -- Periodicals; Forensic Medicine -- Periodicals; Gerechtelijke geneeskunde; Gerechtelijke chemie; Gerechtelijke psychiatrie; 363.2505
• DOI: 10.1111/1556-4029.14229
• Languages: English
• ISSNs: 0022-1198

Abstract

Abstract: Recent reports have demonstrated that genetically variant peptides derived from human hair shaft proteins can be used to differentiate individuals of different biogeographic origins. We report a method involving direct extraction of hair shaft proteins more sensitive than previously published methods regarding GVP detection. It involves one step for protein extraction and was found to provide reproducible results. A detailed proteomic analysis of this data is presented that led to the following four results: (i) A peptide spectral library was created and made available for download. It contains all identified peptides from this work, including GVPs that, when appropriately expanded with diverse hair‐derived peptides, can provide a routine, reliable, and sensitive means of analyzing hair digests; (ii) an analysis of artifact peptides arising from side reactions is also made using a new method for finding unexpected modifications; (iii) detailed analysis of the gel‐based method employed clearly shows the high degree of cross‐linking or protein association involved in hair digestion, with major GVPs eluting over a wide range of high molecular weights while others apparently arise from distinct non‐cross‐linked proteins; and (v) finally, we show that some of the specific GVP identifications depend on the sample preparation method.