Evidence map›Paper›PMID 33833277›Full record

ArticleScientific reports2021

Assessing the degradation of ancient milk proteins through site-specific deamidation patterns.

Abigail Ramsøe, Mia Crispin, Meaghan Mackie, Krista McGrath, Roman Fischer, Beatrice Demarchi, Matthew J Collins, Jessica Hendy, Camilla Speller

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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  16. Ancient proteins resolve controversy over the identity ofProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  17. Paleoproteomics.Chemical reviews · 2022
    Review
  18. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Abigail RamsøeBioArCh, Department of Archaeology, University of York, York, UK. abigail@palaeome.org.
Mia CrispinBioArCh, Department of Archaeology, University of York, York, UK.
Meaghan MackieThe GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.
Krista McGrathBioArCh, Department of Archaeology, University of York, York, UK.
Roman FischerTarget Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Beatrice DemarchiDepartment of Life Sciences and Systems Biology, University of Turin, Turin, Italy.
Matthew J CollinsThe GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.
Jessica HendyBioArCh, Department of Archaeology, University of York, York, UK.
Camilla SpellerBioArCh, Department of Archaeology, University of York, York, UK. camilla.speller@ubc.ca.

Funding

Wellcome TrustWellcome Trust 108375/Z/15/Z
6 · The paper itself

Abstract

The origins, prevalence and nature of dairying have been long debated by archaeologists. Within the last decade, new advances in high-resolution mass spectrometry have allowed for the direct detection of milk proteins from archaeological remains, including ceramic residues, dental calculus, and preserved dairy products. Proteins recovered from archaeological remains are susceptible to post-excavation and laboratory contamination, a particular concern for ancient dairying studies as milk proteins such as beta-lactoglobulin (BLG) and caseins are potential laboratory contaminants. Here, we examine how site-specific rates of deamidation (i.e., deamidation occurring in specific positions in the protein chain) can be used to elucidate patterns of peptide degradation, and authenticate ancient milk proteins. First, we characterize site-specific deamidation patterns in modern milk products and experimental samples, confirming that deamidation occurs primarily at low half-time sites. We then compare this to previously published palaeoproteomic data from six studies reporting ancient milk peptides. We confirm that site-specific deamidation rates, on average, are more advanced in BLG  recovered from ancient dental calculus and pottery residues. Nevertheless, deamidation rates displayed a high degree of variability, making it challenging to authenticate samples with relatively few milk peptides. We demonstrate that site-specific deamidation is a useful tool for identifying modern contamination but highlight the need for multiple lines of evidence to authenticate ancient protein data.

Indexed as

AnimalsArchaeologyDeaminationHumansMilkMilk ProteinsPeptidesMilk ProteinsPeptides

Identifiers

PMID33833277
PMCPMC8032661

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.