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Characterization of an expanded set of assays for immunomodulatory proteins using targeted mass spectrometry

Authors :
Jeffrey R. Whiteaker
Lei Zhao
Regine M. Schoenherr
Dongqing Huang
Jacob J. Kennedy
Richard G. Ivey
Chenwei Lin
Travis D. Lorentzen
Simona Colantonio
Tessa W. Caceres
Rhonda R. Roberts
Joseph G. Knotts
Joshua J. Reading
Candice D. Perry
Sandra S. Garcia-Buntley
William Bocik
Stephen M. Hewitt
Amanda G. Paulovich
Source :
Scientific Data, Vol 11, Iss 1, Pp 1-13 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract Immunotherapies are revolutionizing cancer care, but many patients do not achieve durable responses and immune-related adverse events are difficult to predict. Quantifying the hundreds of proteins involved in cancer immunity has the potential to provide biomarkers to monitor and predict tumor response. We previously developed robust, multiplexed quantitative assays for immunomodulatory proteins using targeted mass spectrometry, providing measurements that can be performed reproducibly and harmonized across laboratories. Here, we expand upon those efforts in presenting data from a multiplexed immuno-oncology (IO)-3 assay panel targeting 43 peptides representing 39 immune- and inflammation-related proteins. A suite of novel monoclonal antibodies was generated as assay reagents, and the fully characterized antibodies are made available as a resource to the community. The publicly available dataset contains complete characterization of the assay performance, as well as the mass spectrometer parameters and reagent information necessary for implementation of the assay. Quantification of the proteins will provide benefit to correlative studies in clinical trials, identification of new biomarkers, and improve understanding of the immune response in cancer.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20524463
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
edsdoj.2899dcf47f47466f938dcdf8b51eceb7
Document Type :
article
Full Text :
https://doi.org/10.1038/s41597-024-03467-x