Automated On-tip Affinity Capture Coupled with Mass Spectrometry to Characterize Intact Antibody-Drug Conjugates from Blood

التفاصيل البيبلوغرافية
العنوان: Automated On-tip Affinity Capture Coupled with Mass Spectrometry to Characterize Intact Antibody-Drug Conjugates from Blood
المؤلفون: Neha Srikumar, Aimee Fourie-O'Donohue, Yichin Liu, John C. Tran, Phillip Y. Chu, Katherine R. Kozak, Ke Sherry Li
المصدر: Journal of the American Society for Mass Spectrometry. 29:1532-1537
بيانات النشر: American Chemical Society (ACS), 2018.
سنة النشر: 2018
مصطلحات موضوعية: 0301 basic medicine, Antibody-drug conjugate, Immunoconjugates, Chromatography, Chemistry, Elution, Antibodies, Monoclonal, Haplorhini, Repeatability, Mass spectrometry, Proteomics, Mass Spectrometry, In vitro, Rats, 03 medical and health sciences, 030104 developmental biology, Structural Biology, In vivo, Animals, Humans, Spectroscopy, Chromatography, Liquid, Conjugate
الوصف: Antibody-drug conjugates (ADCs) present unique challenges for ligand-binding assays primarily due to the dynamic changes of the drug-to-antibody ratio (DAR) distribution in vivo and in vitro. Here, an automated on-tip affinity capture platform with subsequent mass spectrometry analysis was developed to accurately characterize the DAR distribution of ADCs from biological matrices. A variety of elution buffers were tested to offer optimal recovery, with trastuzumab serving as a surrogate to the ADCs. High assay repeatability (CV 3%) was achieved for trastuzumab antibody when captured below the maximal binding capacity of 7.5 μg. Efficient on-tip deglycosylation was also demonstrated in 1 h followed by affinity capture. Moreover, this tip-based platform affords higher throughput for DAR characterization when compared with a well-characterized bead-based method. Graphical Abstract ᅟ.
تدمد: 1044-0305
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdc42a5b23dbd7bfc504137ab7849436
https://doi.org/10.1007/s13361-018-1961-7
حقوق: CLOSED
رقم الأكسشن: edsair.doi.dedup.....bdc42a5b23dbd7bfc504137ab7849436
قاعدة البيانات: OpenAIRE