PXD023202 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | The choice of search engine for interpretation of immunopeptidomics datasets affects the sequencing depth and the extent of detected HLA allele-specific peptide repertoires |
Description | Standardisation of Immunopeptidomics experiments across laboratories is a pressing issue within the field, and currently a variety of different methods for sample preparation and data analysis tools are applied. Here, we compared different software packages commonly used to interrogate immunopeptidomics datasets, in order to understand to which extent differences in performance can be observed. We found that a de novo-assisted database search reports substantially more peptide sequences (~30-70%) compared to three database search engines at a global FDR of <1%. This effect was reproducible across four immunopeptidomic datasets. We validated the results using data generated with a synthetic library of 2000 HLA-associated peptides from four HLA alleles, half of which were previously observed by LC-MS, and half were predicted only. Our investigation reveals that search engines create a bias in peptide sequence length distribution and peptide amino acid composition. Therefore, the choice of peptide identification method highly influences the proportion of peptide sequences identified for each HLA allele, and resulting data should be interpreted with caution. |
HostingRepository | PRIDE |
AnnounceDate | 2024-10-22 |
AnnouncementXML | Submission_2024-10-22_06:56:47.662.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Robert Parker |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | No PTMs are included in the dataset |
Instrument | Q Exactive |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2020-12-17 11:06:28 | ID requested | |
1 | 2024-08-27 14:25:14 | announced | |
⏵ 2 | 2024-10-22 06:56:48 | announced | 2024-10-22: Updated project metadata. |
Publication List
Parker R, Tailor A, Peng X, Nicastri A, Zerweck J, Reimer U, Wenschuh H, Schnatbaum K, Ternette N, The Choice of Search Engine Affects Sequencing Depth and HLA Class I Allele-Specific Peptide Repertoires. Mol Cell Proteomics, 20():100124(2021) [pubmed] |
10.1016/j.mcpro.2021.100124; |
Keyword List
submitter keyword: Immunopeptidomics, Search Engine |
Contact List
Nicola Ternette |
contact affiliation | Nuffield Department of Medicine, Centre for Cellar and Medical Physiology, University of Oxford, OX3 7BN |
contact email | nicola.ternette@ndm.ox.ac.uk |
lab head | |
Robert Parker |
contact affiliation | Jenner Institute |
contact email | robert.rparker@gmail.com |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD023202
- Label: PRIDE project
- Name: The choice of search engine for interpretation of immunopeptidomics datasets affects the sequencing depth and the extent of detected HLA allele-specific peptide repertoires