Evidence map›Paper›PMID 21364886›Full record

ArticlePloS one2011

Classification of ancient mammal individuals using dental pulp MALDI-TOF MS peptide profiling.

Thi-Nguyen-Ny Tran, Gérard Aboudharam, Armelle Gardeisen, Bernard Davoust, Jean-Pierre Bocquet-Appel, Christophe Flaudrops, Maya Belghazi, Didier Raoult, Michel Drancourt

Abstract readHistorical Article
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Ancient dental pulp: Masterpiece tissue for paleomicrobiology.Molecular genetics & genomic medicine · 2020
    Review
  3. Article
  4. Paleoproteomic study of the Iceman's brain tissue.Cellular and molecular life sciences : CMLS · 2013
    Article
  5. Article
  6. Article
  7. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Thi-Nguyen-Ny TranUnité de Recherche sur les Maladies Infectieuses et Tropicales Émergentes, UMR CNRS 6236 IRD 198, IFR48, Faculté de Médecine, Université de la Méditerranée, Marseille, France.
Gérard Aboudharam
Armelle Gardeisen
Bernard Davoust
Jean-Pierre Bocquet-Appel
Christophe Flaudrops
Maya Belghazi
Didier Raoult
Michel Drancourt

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe classification of ancient animal corpses at the species level remains a challenging task for forensic scientists and anthropologists. Severe damage and mixed, tiny pieces originating from several skeletons may render morphological classification virtually impossible. Standard approaches are based on sequencing mitochondrial and nuclear targets. METHODOLOGY/PRINCIPAL

findingsWe present a method that can accurately classify mammalian species using dental pulp and mass spectrometry peptide profiling. Our work was organized into three successive steps. First, after extracting proteins from the dental pulp collected from 37 modern individuals representing 13 mammalian species, trypsin-digested peptides were used for matrix-assisted laser desorption/ionization time-of-flight mass spectrometry analysis. The resulting peptide profiles accurately classified every individual at the species level in agreement with parallel cytochrome b gene sequencing gold standard. Second, using a 279-modern spectrum database, we blindly classified 33 of 37 teeth collected in 37 modern individuals (89.1%). Third, we classified 10 of 18 teeth (56%) collected in 15 ancient individuals representing five mammal species including human, from five burial sites dating back 8,500 years. Further comparison with an upgraded database comprising ancient specimen profiles yielded 100% classification in ancient teeth. Peptide sequencing yield 4 and 16 different non-keratin proteins including collagen (alpha-1 type I and alpha-2 type I) in human ancient and modern dental pulp, respectively. CONCLUSIONS/SIGNIFICANCE: Mass spectrometry peptide profiling of the dental pulp is a new approach that can be added to the arsenal of species classification tools for forensics and anthropology as a complementary method to DNA sequencing. The dental pulp is a new source for collagen and other proteins for the species classification of modern and ancient mammal individuals.

Indexed as

AnimalsBurialCatsCattleChildDatabases, ProteinDental PulpDogsHistory, AncientHumansMammalsMetabolomePeptide MappingPeptidesPhylogenySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationPeptides

Identifiers

PMID21364886
PMCPMC3045434

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LicenceCC BY
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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.