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An innovative standard for LC‐MS‐based HCP profiling and accurate quantity assessment: Application to batch consistency in viral vaccine samples
Author(s) -
Trauchessec Mathieu,
Hesse Anne Marie,
Kraut Alexandra,
Berard Yves,
Herment Laura,
Fortin Tanguy,
Bruley Christophe,
Ferro Myriam,
Manin Catherine
Publication year - 2021
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.202000152
Subject(s) - chromatography , workflow , process engineering , computer science , mass spectrometry , reproducibility , sample preparation , consistency (knowledge bases) , data mining , chemistry , database , engineering , artificial intelligence
Biotherapeutics, molecules produced from biological systems, require rigorous purification steps to remove impurities including host cell proteins (HCPs). Regulatory guidelines require manufacturers to monitor process‐related impurities along the purification workflow. Mass spectrometry (MS) has recently been considered as a complementary method to the well‐established ELISA for HCPs quantification, since it has the advantage of unambiguously identifying individual HCP. In this study, we developed an innovative standard dedicated to MS‐based HCP profiling analysis in order to monitor the consistency of viral vaccine intermediate purification samples. This standard, termed the HCP‐PROFILER standard, is composed of a water‐soluble bead (READYBEADS technology) which, after being added into the sample, releases unlabeled peptides in controlled amounts. The standard meets three desired criteria: (1) it is composed of multiple peptides, at different concentration levels, allowing construction of a calibration curve covering the dynamic range of HCPs present in the target sample, ensuring quantification accuracy; (2) it demonstrates high batch‐to‐batch reproducibility, ensuring quantification robustness and consistency over time; and (3) it is easy to use and avoids user‐induced analytical biases. In this study, we present the use of the HCP‐PROFILER standard for vaccine batches comparison and downstream process performance studies.