PXD038761 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Optimizing High-Throughput Shotgun Immunoproteomics for Antigen Identification |
Description | Identification of individual proteins (i.e., antigens) which initiate and/or perpetuate adaptive immune responses has potential to greatly impact pre-clinical and clinical work across numerous fields. To date, however, the methodologies available to identify antigens responsible for driving adaptive immune responses have been plagued by numerous issues which have drastically limited their widespread adoption. Therefore, in this study, we sought to optimize a shotgun immunoproteomics approach to alleviate these persistent issues and create a high-throughput, quantitative methodology for antigen identification. Three individual components of a previously published approach, namely the protein extraction, antigen elution, and LC-MS/MS analysis steps, were optimized in a systematic manner. These studies determined that preparation of protein extracts using a one-step tissue disruption method in immunoprecipitation (IP) buffer, eluting antigens from affinity chromatography columns with 1% trifluoroacetic acid (TFA), and TMT-labeling & multiplexing equal volumes of eluted samples for LC-MS/MS analysis, resulted in quantitative longitudinal antigen identification, with reduced variability between replicates and increased total number of antigens identified. This optimized pipeline provides a multiplexed, highly reproducible, and fully quantitative approach to antigen identification which is broadly applicable to determine the role of antigenic proteins in inciting (i.e. primary antigens) and perpetuating (i.e., secondary antigens) a wide range of diseases. |
HostingRepository | PRIDE |
AnnounceDate | 2023-11-14 |
AnnouncementXML | Submission_2023-11-14_08:44:52.666.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Akhilesh Pandey |
SpeciesList | scientific name: Bos taurus (Bovine); NCBI TaxID: 9913; |
ModificationList | monohydroxylated residue; iodoacetamide derivatized residue |
Instrument | Orbitrap Eclipse; Orbitrap Fusion Lumos |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2022-12-12 22:27:19 | ID requested | |
1 | 2023-04-18 09:03:12 | announced | |
⏵ 2 | 2023-11-14 08:45:02 | announced | 2023-11-14: Updated project metadata. |
Publication List
Shortreed NA, Panicker AJ, Mangalaparthi KK, Zhong J, Pandey A, Griffiths LG, Optimization of a high-throughput shotgun immunoproteomics pipeline for antigen identification. J Proteomics, 281():104906(2023) [pubmed] |
Keyword List
submitter keyword: Tandem-Mass Tag labeling,Antigen identification, Xenogeneic biomaterials, Affinity chromatography, Humoral immune response, Proteomics |
Contact List
Akhilesh Pandey |
contact affiliation | Professor Department of Laboratory Medicine and Pathology Mayo Clinic 200 First St SW, Rochester, MN – 55905, USA |
contact email | pandey.akhilesh@mayo.edu |
lab head | |
Akhilesh Pandey |
contact affiliation | Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905 |
contact email | pandey.akhilesh@mayo.edu |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD038761
- Label: PRIDE project
- Name: Optimizing High-Throughput Shotgun Immunoproteomics for Antigen Identification