Dataset Information

Bone proteomics methods optimisation for forensic investigations

ABSTRACT: The application of human bone in forensic proteomics is an expanding novel purpose in the aim of successfully quantifying biological estimations used in medico-legal investigations with greater accuracy. In this project, different extraction protocols were tested on n=30 human bone samples, including S-Trap technology with two different lysis buffer, and ZipTips. Additionally, a comparison was made between data-dependent acquisition (DDA) and data-independent acquisition (DIA) mode. Results showed less missing data using S-Traps instead of the more routine reverse-phase media tips (ZipTip). The type of lysis buffer when using S-Traps does not impact largely the analysis conducted in forensic proteomic workflows. Lastly, it was found that when open-source software is used for data processing for both DDA and DIA modes, DIA has the upper advantage in terms of acquiring a larger number of proteins due to its greater sensitivity to those with a lower abundance.

INSTRUMENT(S): Orbitrap Exploris 480

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Noemi Procopio

PROVIDER: MSV000093803 | MassIVE | Wed Jan 10 04:30:00 GMT 2024

SECONDARY ACCESSION(S): PXD048383

REPOSITORIES: MassIVE

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Bone Proteomics Method Optimization for Forensic Investigations.

Gent Luke L Chiappetta Maria Elena ME Hesketh Stuart S Palmowski Pawel P Porter Andrew A Bonicelli Andrea A Schwalbe Edward C EC Procopio Noemi N

Journal of proteome research 20240415 5

The application of proteomic analysis to forensic skeletal remains has gained significant interest in improving biological and chronological estimations in medico-legal investigations. To enhance the applicability of these analyses to forensic casework, it is crucial to maximize throughput and proteome recovery while minimizing interoperator variability and laboratory-induced post-translational protein modifications (PTMs). This work compared different workflows for extracting, purifying, and an ...[more]

PMID: 38621258

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