Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/169704
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Adav, Sunil S. | en_US |
dc.contributor.author | Leung, Ching Yung | en_US |
dc.contributor.author | Ng, Kee Woei | en_US |
dc.date.accessioned | 2023-08-01T07:44:27Z | - |
dc.date.available | 2023-08-01T07:44:27Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | 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 | en_US |
dc.identifier.issn | 1872-4973 | en_US |
dc.identifier.uri | https://hdl.handle.net/10356/169704 | - |
dc.description.abstract | 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. | en_US |
dc.description.sponsorship | Ministry of Education (MOE) | en_US |
dc.language.iso | en | en_US |
dc.relation | AcRF Tier 1 RG7/22 | en_US |
dc.relation.ispartof | Forensic Science International: Genetics | en_US |
dc.rights | © 2023 Elsevier B.V. All rights reserved. | en_US |
dc.subject | Engineering::Materials | en_US |
dc.title | Profiling of hair proteome revealed individual demographics | en_US |
dc.type | Journal Article | en |
dc.contributor.school | School of Materials Science and Engineering | en_US |
dc.contributor.research | Nanyang Environment and Water Research Institute | en_US |
dc.identifier.doi | 10.1016/j.fsigen.2023.102914 | - |
dc.identifier.volume | 66 | en_US |
dc.identifier.spage | 102914 | en_US |
dc.subject.keywords | Hair Shaft | en_US |
dc.subject.keywords | Hair Keratins | en_US |
dc.subject.keywords | Proteomics | en_US |
dc.subject.keywords | Forensic Science | en_US |
dc.subject.keywords | Protein Abundance | en_US |
dc.description.acknowledgement | This work was supported by the Ministry of Education, Singapore (AcRF Tier 1 RG7/22). | en_US |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
Appears in Collections: | MSE Journal Articles |
SCOPUSTM
Citations
50
6
Updated on Dec 19, 2024
Page view(s)
175
Updated on Feb 16, 2025
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.