Proteomics

Dataset Information

Proteomic Analysis of the Shandrin Mammoth by EVA Technology and High-Resolution Mass Spectrometry: What is its Gut Telling Us?


ABSTRACT: The investigation about archaeological samples, which are of inestimable value, requires minimally destructive or nondestructive sampling techniques. One of the most promising and recent non-invasive techniques is known under the acronym EVA, an ethylene vinyl acetate film which avoids contamination and proteins damages. This paper reports the results of the first-ever analysis of proteins extracted from the EVA film applied to a tissue sample some 40000 years old. In particular, the gut sample of a woolly mammoth (Mammuthus primigenus), discovered in 1972 close to the Shandrin River (Yakutia, Russia), via a shotgun MS-based approach was investigated. Proteomic and peptidomic analysis allowed the exploration of the mammoth dietary plants and its gut bacteria. The results were validated through the level of deamidation and other post-translational modifications of the peptides of the samples, which were used to discrimitate the “original” endogenous peptides from contaminant ones. Overall, the results of the metaproteomic analysis here reported are in accordance with the previous paleobotanical studies and with the reconstructed habitat of the Shandrin mammoth.

INSTRUMENT(S):

ORGANISM(S): Mammuthus Sp.

TISSUE(S): Gut Cavity

SUBMITTER: Vincenzo Cunsolo  

LAB HEAD: Salvatore FotiLaboratory of Organic Mass Spectrometry, Department of Chemical Sciences, University of Catania, Viale A. Doria 6, 95125, Catania, Italy

PROVIDER: PXD025518 | Pride | 2021-11-03

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
Mammoth_gut_Proteome_Xchange_Data_search.zip Other
PXD025518_community_annotated.sdrf.tsv Tabular
est_bia_eva_1.raw Raw
est_bia_eva_2.raw Raw
est_bia_eva_3.raw Raw
Items per page:
1 - 5 of 8
altmetric image

Publications

Sorry, this publication's infomation has not been loaded in the Indexer, please go directly to PUBMED or Altmetric.

Similar Datasets