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

doi:10.1016/j.dib.2022.108562

Proteomics dataset from 26th Dynasty Egyptian mummified remains sampled using minimally invasive skin sampling tape strips

Data Brief. 2022 Aug 31:45:108562. doi: 10.1016/j.dib.2022.108562. eCollection 2022 Dec.

Authors

Dylan H Multari¹, Prathiba Ravishankar¹, Geraldine J Sullivan¹, Ronika K Power^{2

3

4}, Constance Lord⁵, James A Fraser⁶, Paul A Haynes^{1

3

4}

Affiliations

¹ School of Natural Sciences, Macquarie University, North Ryde, NSW 2109, Australia.
² Department of History and Archaeology, Macquarie University, North Ryde, NSW 2109, Australia.
³ Biomolecular Discovery Research Centre, Macquarie University, North Ryde, NSW 2109, Australia.
⁴ Centre for Ancient Cultural Heritage and Environment, Macquarie University, North Ryde, NSW 2109, Australia.
⁵ Chau Chak Wing Museum, University of Sydney, Camperdown, NSW 2006, Australia.
⁶ Middle East Department, British Museum, United Kingdom.

Abstract

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%.

Keywords: Bioarchaeology; Cultural heritage; Deamidation; Mass spectrometry; Paleoproteomics.