Profiling of hair proteome revealed individual demographics
Human hair is often found at crime scenes, persists for a long time, and is a valuable biological specimen in forensic investigations. Hair contains minimal intact nuclear DNA for the discrimination of individual identity. In such cases, proteomics evaluation of hair proteins could provide an att...
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sg-ntu-dr.10356-1697042023-08-01T07:44:27Z Profiling of hair proteome revealed individual demographics Adav, Sunil S. Leung, Ching Yung Ng, Kee Woei School of Materials Science and Engineering Nanyang Environment and Water Research Institute Engineering::Materials Hair Shaft Hair Keratins Proteomics Forensic Science Protein Abundance Human hair is often found at crime scenes, persists for a long time, and is a valuable biological specimen in forensic investigations. Hair contains minimal intact nuclear DNA for the discrimination of individual identity. In such cases, proteomics evaluation of hair proteins could provide an attractive alternative for protein-based human identification. Therefore, this study adopted a proteomic approach to profile hair shafts from both males and females across different ethnic populations including Chinese, Indians, Malays, and Filipinos in their 20s-80s. First, hair proteins were extracted by different methods to adopt the most suitable protocol that produced the highest extraction efficiency based on most significant enrichment of keratins and keratin-associated proteins. Abundance of hair keratins including both types I and II, and keratin-associated proteins, estimated using label-free quantification, showed distinguishable profiles, and the possibilities of distinguishing individuals within each ethnic origin. Similarly, several protein candidates and their abundances could be used to distinguish sex and age of individuals. This study explored the possibility of utilizing hair proteomics phenotyping in forensic science to differentiate individuals across various ethnic groups, sex and age. Ministry of Education (MOE) This work was supported by the Ministry of Education, Singapore (AcRF Tier 1 RG7/22). 2023-08-01T07:44:27Z 2023-08-01T07:44:27Z 2023 Journal Article Adav, S. S., Leung, C. Y. & Ng, K. W. (2023). Profiling of hair proteome revealed individual demographics. Forensic Science International: Genetics, 66, 102914-. https://dx.doi.org/10.1016/j.fsigen.2023.102914 1872-4973 https://hdl.handle.net/10356/169704 10.1016/j.fsigen.2023.102914 66 102914 en AcRF Tier 1 RG7/22 Forensic Science International: Genetics © 2023 Elsevier B.V. All rights reserved. |
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Engineering::Materials Hair Shaft Hair Keratins Proteomics Forensic Science Protein Abundance Adav, Sunil S. Leung, Ching Yung Ng, Kee Woei Profiling of hair proteome revealed individual demographics |
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Human hair is often found at crime scenes, persists for a long time, and is a valuable biological
specimen in forensic investigations. Hair contains minimal intact nuclear DNA for the
discrimination of individual identity. In such cases, proteomics evaluation of hair proteins
could provide an attractive alternative for protein-based human identification. Therefore, this
study adopted a proteomic approach to profile hair shafts from both males and females across
different ethnic populations including Chinese, Indians, Malays, and Filipinos in their 20s-80s.
First, hair proteins were extracted by different methods to adopt the most suitable protocol that
produced the highest extraction efficiency based on most significant enrichment of keratins and
keratin-associated proteins. Abundance of hair keratins including both types I and II, and
keratin-associated proteins, estimated using label-free quantification, showed distinguishable profiles, and the possibilities of distinguishing individuals within each ethnic origin. Similarly,
several protein candidates and their abundances could be used to distinguish sex and age of
individuals. This study explored the possibility of utilizing hair proteomics phenotyping in
forensic science to differentiate individuals across various ethnic groups, sex and age. |
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School of Materials Science and Engineering |
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School of Materials Science and Engineering Adav, Sunil S. Leung, Ching Yung Ng, Kee Woei |
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Article |
author |
Adav, Sunil S. Leung, Ching Yung Ng, Kee Woei |
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Adav, Sunil S. |
title |
Profiling of hair proteome revealed individual demographics |
title_short |
Profiling of hair proteome revealed individual demographics |
title_full |
Profiling of hair proteome revealed individual demographics |
title_fullStr |
Profiling of hair proteome revealed individual demographics |
title_full_unstemmed |
Profiling of hair proteome revealed individual demographics |
title_sort |
profiling of hair proteome revealed individual demographics |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/169704 |
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1773551229753884672 |