MassIVE MSV000093803

Partial Public PXD048383

Bone proteomics methods optimisation for forensic investigations

Subscribe Comment Convert Spectra Add Reanalysis

Description

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. [doi:10.25345/C5QN5ZP1H] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Bone proteomics ; protein extraction ; mass spectrometry ; forensic science ; acquisition mode

Contact

Principal Investigators:
(in alphabetical order) 		Noemi Procopio, University of Central Lancashire, United Kingdom
Submitting User: NUPPA

Publications

Gent L, Chiappetta ME, Hesketh S, Palmowski P, Porter A, Bonicelli A, Schwalbe EC, Procopio N.
Bone Proteomics Method Optimization for Forensic Investigations.
J Proteome Res. 2024 May 3;23(5):1844-1858. Epub 2024 Apr 15.

Number of Files:
Total Size:
Spectra:
Subscribers:
 
Owner Reanalyses
Experimental Design
    Conditions:
    Biological Replicates:
    Technical Replicates:
 
Identification Results
    Proteins (Human, Remapped):
    Proteins (Reported):
    Peptides:
    Variant Peptides:
    PSMs:
 
Quantification Results
    Differential Proteins:
    Quantified Proteins:
 
Browse Dataset Files
 
FTP Download Link (click to copy):

Species

Instrument

Modifications

- Dataset Reanalyses

+ Dataset History

Click here to queue conversion of this dataset's submitted spectrum files to open formats (e.g. mzML). This process may take some time.

When complete, the converted files will be available in the "ccms_peak" subdirectory of the dataset's FTP space (accessible via the "FTP Download" link to the right).
Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

Distinct replicate labels are counted across all files submitted in the "Metadata" category having a "BioReplicate" or "Replicate" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

The technical replicate count is defined as the maximum number of times any one distinct combination of condition and biological replicate was analyzed across all files submitted in the "Metadata" category. In the case of fractionated experiments, only the first fraction is considered.

"N/A" means no results of this type were submitted.
Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

"N/A" means no results of this type were submitted.
Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.