ArticleJournal of proteome research2024
Automated High-Throughput Biological Sex Identification from Archeological Human Dental Enamel Using Targeted Proteomics.
Article in Journal of proteome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Proteomic analysis of dental enamel from 20 Homo naledi individuals shows no male markers.Cell · 2026Article
- Assessing the Potential of Ancient Protein Sequences in the Study of Hominid Evolution.Genome biology and evolution · 2026Article
- Tracing chalcolithic population mobility using strontium isotopes and proteomics at Gumelnița site, Romania.Scientific reports · 2025Article
- Paleoproteomics sheds light on million-year-old fossils.Nature reviews. Molecular cell biology · 2025Article
- A label-free quantification method for assessing sex from modern and ancient bovine tooth enamel.Scientific reports · 2024Article
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Authors and funding
16 authors.
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Abstract
Biological sex is key information for archeological and forensic studies, which can be determined by proteomics. However, the lack of a standardized approach for fast and accurate sex identification currently limits the reach of proteomics applications. Here, we introduce a streamlined mass spectrometry (MS)-based workflow for the determination of biological sex using human dental enamel. Our approach builds on a minimally invasive sampling strategy by acid etching, a rapid online liquid chromatography (LC) gradient coupled to a high-resolution parallel reaction monitoring (PRM) assay allowing for a throughput of 200 samples per day (SPD) with high quantitative performance enabling confident identification of both males and females. Additionally, we developed a streamlined data analysis pipeline and integrated it into a Shiny interface for ease of use. The method was first developed and optimized using modern teeth and then validated in an independent set of deciduous teeth of known sex. Finally, the assay was successfully applied to archeological material, enabling the analysis of over 300 individuals. We demonstrate unprecedented performance and scalability, speeding up MS analysis by 10-fold compared to conventional proteomics-based sex identification methods. This work paves the way for large-scale archeological or forensic studies enabling the investigation of entire populations rather than focusing on individual high-profile specimens. Data are available via ProteomeXchange with the identifier PXD049326.
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