Proteomics

Dataset Information

0

Species identification using bone protein


ABSTRACT: Proteogenomics is an increasingly common method for species identification as it allows for rapid and inexpensive interrogation of an unknown organism’s proteome – even when the proteome is partially degraded. The proteomic method typically uses tandem mass spectrometry to survey all peptides detectable in a sample that frequently contains hundreds or thousands of proteins. Species identification is based on detection of a small numbers of species-specific peptides. Genetic analysis of proteins by mass spectrometry, however, is a developing field, and the bone proteome, typically consisting of only two proteins, pushes the limits of this technology. Nearly 20% of highly confident spectra from modern human bone samples identify non-human species when searched against a vertebrate database – as would be necessary with a fragment of unknown bone. These non-human peptides are often the result of current limitations in mass spectrometry or algorithm interpretation errors. Consequently, it is difficult to know if a “species-specific” peptide used to identify a sample is actually present in that sample. Here we evaluate the causes of peptide sequence errors and propose an unbiased, probabilistic approach to determine the likelihood that a species is correctly identified from bone without relying on species-specific peptides.

INSTRUMENT(S): 4800 Proteomics Analyzer

ORGANISM(S): Canis Lupus Marmota Monax Equus Caballus (horse) Didelphis Virginiana Ursus Americanus (american Black Bear) (euarctos Americanus) Felis Catus (cat) (felis Silvestris Catus) Odocoileus Virginianus Tursiops Truncatus (atlantic Bottle-nosed Dolphin) (delphinus Truncatus) Macaca Mulatta (rhesus Macaque) Sus Scrofa Domesticus (domestic Pig) Homo Sapiens (human) Bos Taurus (bovine) Gallus Gallus (chicken) Sciurus Carolinensis (gray Squirrel) Lontra Canadensis Ovis Aries

TISSUE(S): Bone

SUBMITTER: Erin Butler  

LAB HEAD: Donald Siegel

PROVIDER: PXD021963 | Pride | 2021-09-09

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
BoneA_46.mzML Mzml
BoneA_46.xml Xml
BoneB_47.mzML Mzml
BoneB_47.xml Xml
BoneC_48.mzML Mzml
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Publications

A predictive model for vertebrate bone identification from collagen using proteomic mass spectrometry.

Yang Heyi H   Butler Erin R ER   Monier Samantha A SA   Teubl Jennifer J   Fenyö David D   Ueberheide Beatrix B   Siegel Donald D  

Scientific reports 20210525 1


Proteogenomics is an increasingly common method for species identification as it allows for rapid and inexpensive interrogation of an unknown organism's proteome-even when the proteome is partially degraded. The proteomic method typically uses tandem mass spectrometry to survey all peptides detectable in a sample that frequently contains hundreds or thousands of proteins. Species identification is based on detection of a small numbers of species-specific peptides. Genetic analysis of proteins by  ...[more]

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