Dataset Information

Mass spectrometry imaging of ancient teeth proteomes

ABSTRACT: In order to research the variation in protein distribution in teeth, proteins were extracted from archaeological (15-18th century, Netherlands) and modern teeth and identified using LC-MS/MS. Of the recovered proteins we then visualised the distribution of collagen type I (both the alpha-1 and -2 chains), alpha-2-HS-glycoprotein, haemoglobin subunit alpha and myosin light polypeptide 6 using MALDI-MSI. We found distinct differences in the spatial distributions of different proteins as well as between some peptides of the same protein. The reason for these differences in protein spatial distribution remain unclear, yet this study highlights the ability of MALDI-MSI for visualisng the spatial distribution of proteins in archaeological biomineralised tissues. Therefore MALDI-MSI might prove a useful tool to improve our understanding of protein preservation as well as aid in deciding sampling strategies.

INSTRUMENT(S): Orbitrap Fusion Lumos, SYNAPT G2-Si

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Tooth

SUBMITTER: Jan Dekker

LAB HEAD: Jessica Hendy

PROVIDER: PXD038114 | Pride | 2023-03-11

REPOSITORIES: Pride

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Spatial analysis of the ancient proteome of archeological teeth using mass spectrometry imaging.

Dekker Joannes J Larson Tony T Tzvetkov Jordan J Harvey Virginia L VL Dowle Adam A Hagan Richard R Genever Paul P Schrader Sarah S Soressi Marie M Hendy Jessica J

Rapid communications in mass spectrometry : RCM 20230401 8

<h4>Rationale</h4>Proteins extracted from archaeological bone and teeth are utilised for investigating the phylogeny of extinct and extant species, the biological sex and age of past individuals, as well as ancient health and physiology. However, variable preservation of proteins in archaeological materials represents a major challenge.<h4>Methods</h4>To better understand the spatial distribution of ancient proteins preserved within teeth, we applied matrix assisted laser desorption/ionisation m ...[more]

PMID: 36735645

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