Claire Koenig, Patricia Bortel, Ryan S Paterson, Barbara Rendl, Palesa P Madupe, Gaudry B Troché, Nuno Vibe Hermann, Marina Martínez de Pinillos, María Martinón-Torres, Sandra Mularczyk, Marie Louise Schjellerup Jørkov, Christopher Gerner, Fabian Kanz, Ana Martinez-Val, Enrico Cappellini, Jesper V Olsen
{"title":"利用靶向蛋白质组学从考古人类牙釉质中自动进行高通量生物性别鉴定","authors":"Claire Koenig, Patricia Bortel, Ryan S Paterson, Barbara Rendl, Palesa P Madupe, Gaudry B Troché, Nuno Vibe Hermann, Marina Martínez de Pinillos, María Martinón-Torres, Sandra Mularczyk, Marie Louise Schjellerup Jørkov, Christopher Gerner, Fabian Kanz, Ana Martinez-Val, Enrico Cappellini, Jesper V Olsen","doi":"10.1021/acs.jproteome.4c00557","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":48,"journal":{"name":"Journal of Proteome Research","volume":" ","pages":"5107-5121"},"PeriodicalIF":3.8000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11536428/pdf/","citationCount":"0","resultStr":"{\"title\":\"Automated High-Throughput Biological Sex Identification from Archeological Human Dental Enamel Using Targeted Proteomics.\",\"authors\":\"Claire Koenig, Patricia Bortel, Ryan S Paterson, Barbara Rendl, Palesa P Madupe, Gaudry B Troché, Nuno Vibe Hermann, Marina Martínez de Pinillos, María Martinón-Torres, Sandra Mularczyk, Marie Louise Schjellerup Jørkov, Christopher Gerner, Fabian Kanz, Ana Martinez-Val, Enrico Cappellini, Jesper V Olsen\",\"doi\":\"10.1021/acs.jproteome.4c00557\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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. 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Automated High-Throughput Biological Sex Identification from Archeological Human Dental Enamel Using Targeted Proteomics.
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.
期刊介绍:
Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".