MassIVE MSV000085375

Partial Public PXD018998

Enabling Routine MHC-II Associated Peptide ProteomicS (MAPPs) for Risk Assessment of Drug-Induced Immunogenicity

Subscribe Comment Reanalyze Spectra Add Reanalysis

Description

The appended raw files, csv files and other documents were deposited in the public domain in support for the publication Enabling Routine MHC-II Associated Peptide ProteomicS (MAPPs) for Risk Assessment of Drug-Induced Immunogenicity Guido Steiner, Celine Marban-Doran, Jessica Langer, Tatiana Pimenova, Gonzalo Duran-Pacheco; Denise Sauter; Anja Langenkamp, Corinne Solier, Thomas Singer, Katharine Bray-French, and Axel Ducret The abstract is appended below: MHC-II Associated Peptide ProteomicS (MAPPs) is a mass spectrometry-based approach to identify and relatively quantitate naturally processed and presented MHC-II associated peptides that can potentially activate T cells and contribute to the immunogenicity of a drug. Acceptance of the MAPPs technology as an appropriate pre-clinical (and potentially clinical) immunogenicity risk assessment tool depends on its technical stability and robustness but also on the ability to compare results across experiments and donors. To this end, we developed a specialized MAPPs data processing pipeline, dataMAPPs, which presents complex mass spectrometric datasets in the form of heat maps (heatMAPPs) enabling rapid and convenient comparison between conditions and donors. A customized normalization procedure based on identified endogenous peptides standardizes signal intensities within and between donors and enable cross-experimental comparison. We evaluated the technical reproducibility of the MAPPs platform using tool compounds with respect to the most prominent experimental factors and found that the systematic biological differences across donors by far outweighed any technical source of variation. We illustrate the capability of the MAPPs platform to generate data that may be used for pre-clinical risk assessment of drug-induced immunogenicity and discuss its applicability in the clinics. The raw files and associated data for publicly available compounds are appended in the depository. The database (dataMAPPS publication db.FASTA) that was used to search the raw files is also included. The current dataset is divided in three sections, each with explaining documentation: Folder Fig. 2_4_5 contains the raw files, the PEAKS identification files and the quantification files that were used to generate the Fig. 2, 4 and 5 of the publication. The raw files were also used to generate the test files deposited on http://SourceForge.net/projects/datamapps/ which is alsothe source to download the R source code for dataMAPPs. Folder Fig. 6BC contains the raw files, the PEAKS identification files and the quantification files that were used to generate the Fig. 6 BC. The raw files used to generate Fig. 6A were not included; they have been generated using a compound that is proprietary. Folder Fig. 8_KLH contains the raw files, the PEAKS identification files and the quantification files that were used to generate the Fig. 8. [doi:10.25345/C57Q5T] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: MHC-II peptides ; MAPPs ; immunogenicity ; KLH ; infliximab ; exotoxin A

Contact

Principal Investigators:
(in alphabetical order) 		Axel Ducret, Roche Innovation Center Basel, Switzerland
Guido Steiner, Roche Innovation Center Basel, Switzerland
Submitting User: ducreta
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
Browse Quantification Results
 
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.