Proteomics dataset from 26th Dynasty Egyptian mummified remains sampled using minimally invasive skin sampling tape strips
Dylan H. Multari,
Prathiba Ravishankar,
Geraldine J. Sullivan,
Ronika K. Power,
Constance Lord,
James A. Fraser,
Paul A. Haynes
Affiliations
Dylan H. Multari
School of Natural Sciences, Macquarie University1, North Ryde, NSW 2109, Australia
Prathiba Ravishankar
School of Natural Sciences, Macquarie University1, North Ryde, NSW 2109, Australia
Geraldine J. Sullivan
School of Natural Sciences, Macquarie University1, North Ryde, NSW 2109, Australia
Ronika K. Power
Department of History and Archaeology, Macquarie University, North Ryde, NSW 2109, Australia; Biomolecular Discovery Research Centre, Macquarie University, North Ryde, NSW 2109, Australia; Centre for Ancient Cultural Heritage and Environment, Macquarie University, North Ryde, NSW 2109, Australia
Constance Lord
Chau Chak Wing Museum, University of Sydney, Camperdown, NSW 2006, Australia
James A. Fraser
Middle East Department, British Museum, United Kingdom
Paul A. Haynes
School of Natural Sciences, Macquarie University1, North Ryde, NSW 2109, Australia; Biomolecular Discovery Research Centre, Macquarie University, North Ryde, NSW 2109, Australia; Centre for Ancient Cultural Heritage and Environment, Macquarie University, North Ryde, NSW 2109, Australia; Corresponding author at: School of Natural Sciences, Macquarie University, North Ryde, NSW 2109, Australia.
Paleoproteomics typically involves the destructive sampling of precious bioarchaeological materials. This analysis aims to investigate the proteins identifiable via nanoLC-MS/MS from highly degraded 26th Dynasty Egyptian mummified human remains (NMR.29.1-8) after non-destructive sampling with commercially available dermatology-grade skin sampling tape strips. A collection of cranial and other bone fragments were sampled with the tape strips then subsequently analysed using a shotgun proteomics approach. The number of proteins identified using this method ranged from 18 to 437 at a peptide FDR of <1%. Deamidation ratios were assessed using an in-house R script, with asparagine deamidation averaging ∼20–30% and glutamine deamidation averaging ∼15–25%.
