PXD044851
PXD044851 is an original dataset announced via ProteomeXchange.
Dataset Summary
Title | Expanding the MAPPs assay to accommodate MHC-II pan re-ceptors for improved predictability of potential T cell epitopes |
Description | The appended raw files, csv files and other documents were deposited in the public domain in support for the publication "Expanding the MAPPs assay to accommodate MHC-II pan re-ceptors for improved predictability of potential T cell epitopes" by Katharina Hartman, Guido Steiner, Michel Siegel, Cary M. Looney, Timothy P. Hickling, Katharine Bray-French, Sebastian Springer, Celine Marban-Doran and Axel Ducret. The abstract is as follows: A critical step in the immunogenicity cascade is attributed to human leukocyte antigen (HLA) II presentation triggering T cell immune responses. The liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based major histocompatibility complex (MHC) II-associated peptide proteomics (MAPPs) assay is implemented during preclinical risk assessments to identify bio-therapeutic-derived T cell epitopes. Although studies indicate HLA-DP and HLA-DQ alleles are linked to immunogenicity, most MAPPs studies are restricted to HLA-DR as the dominant HLA II genotype due to lack of well-characterized immunoprecipitating antibodies. Herein we ad-dress this issue by testing various commercially-available clones of MHC-II pan (CR3/43, WR18, and Tu39), HLA-DP (B7/21), and HLA-DQ (SPV-L3 and 1a3) antibodies in the MAPPs assay, and characterizing identified peptides according to binding specificity. Our results reveal that HLA II receptor-precipitating reagents with similar reported specificities differ based on clonality and that MHC-II pan antibodies do not entirely exhibit pan-specific tendencies. Since no individual antibody clone is able to recover the complete HLA II peptide repertoire, we recommend a mixed strategy of clones L243, WR18, and SPV-L3 in a single immunoprecipitation step for more robust compound-specific peptide detection. Ultimately, our optimized MAPPs strategy im-proves the predictability and additional identification of T cell epitopes in immunogenicity risk assessments. The dataset is divided in two sections, one supporting the figures 1-4, the other one supporting the figure 5-6. The collective data has aslo be used to generate the supplementary tables S1-S9. |
HostingRepository | MassIVE |
AnnounceDate | 2023-09-15 |
AnnouncementXML | Submission_2023-09-15_07:27:45.297.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Axel Ducret |
SpeciesList | scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606; |
ModificationList | L-methionine sulfoxide; Deamidated; Gln->pyro-Glu |
Instrument | timsTOF Pro 2 |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
---|---|---|---|
0 | 2023-08-25 02:45:02 | ID requested | |
⏵ 1 | 2023-09-15 07:27:45 | announced |
Publication List
Hartman, K. |
Steiner, G. |
Siegel, M. |
Looney, C.M. |
Hickling, T.P. |
Bray-French, K. |
Springer, S. |
Marban-Doran, C. |
Ducret, A. Expanding the MAPPs Assay to Accommodate MHC-II Pan Receptors for Improved Predictability of Potential T Cell Epitopes. accepted for publication in Biology (2023) 12. |
Keyword List
submitter keyword: MAPPs assay, immunopeptidomics, HLA-II receptors, anti-drug antibodies, immunogenicity, in silico analysis, Adalimumab, ATR-107, KLH |
Contact List
Axel Ducret | |
---|---|
contact affiliation | Roche Innovation Center Basel |
contact email | axel.ducret@roche.com |
lab head | |
Axel Ducret | |
contact affiliation | F. Hoffmann-La Roche Ltd |
contact email | axel.ducret@roche.com |
dataset submitter |
Full Dataset Link List
MassIVE dataset URI |
Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://massive.ucsd.edu/MSV000092747/ |