Site-specific deamidation of glutamine: a new marker of bone collagen deterioration

RATIONALE Non‐enzymatic deamidation accumulates in aging tissues in vivo and has been proposed to be potentially useful as a molecular clock. The process continues post mortem, and here we explore the increase in levels of deamidation in archaeological collagen, as measured during Zooarchaeology by...

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Bibliographic Details
Published inRapid communications in mass spectrometry Vol. 26; no. 19; pp. 2319 - 2327
Main Authors van Doorn, Nienke L., Wilson, Julie, Hollund, Hege, Soressi, Marie, Collins, Matthew J.
Format Journal Article
LanguageEnglish
Published England Blackwell Publishing Ltd 15.10.2012
Wiley Subscription Services, Inc
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Summary:RATIONALE Non‐enzymatic deamidation accumulates in aging tissues in vivo and has been proposed to be potentially useful as a molecular clock. The process continues post mortem, and here we explore the increase in levels of deamidation in archaeological collagen, as measured during Zooarchaeology by Mass Spectrometry (ZooMS) analysis. METHODS With the high sensitivity of current generation mass spectrometers, ZooMS provides a non‐destructive and highly cost‐effective method to characterise collagen peptides. Deamidation can be detected by mass spectrometry as a +0.984 Da mass shift; therefore, aside from its original purpose, peptide mass‐fingerprinting for bone identification, ZooMS concurrently yields a 'thermal indicator' of the samples. RESULTS By analysis of conventional ZooMS spectra, we determined the deamidation rate for glutamine residues in 911 bone collagen samples from 50 sites, with ages varying from medieval to Palaeolithic. The degree of deamidation was compared to diagenetic parameters and nearby sequence properties. CONCLUSIONS The extent of deamidation was found to be influenced more by burial conditions and thermal age than, for example, chronological age, the extent of bioerosion or crystallinity. The method lends itself mostly to screening heterogenic deposits of bone to identify outliers. Copyright © 2012 John Wiley & Sons, Ltd.
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ISSN:0951-4198
1097-0231
DOI:10.1002/rcm.6351