Butenko, I. O.; Kitsilovskaya, N. A.; Vakaryuk, A. V.; Lazareva, A. A.; Gremyacheva, V. D.; Kovalenko, A. V.; Lebedeva, A. A.; Baraboshkin, N. M.; Chudinov, I. K.; Khchoian, A. G.; Kurylova, O. V.; Gorbunov, K. S.; Pavlenko, A.; Kozhemyakin, G. L.; Fedorov, O. V.; Ilina, E.; Govorun, V. M.

In bottom-up proteomics peptide it was early shown that despite a certain protein is present in a sample, only a subset of it's proteolytic peptide products will be detected with LC-MS analysis. Property of peptide being frequently detected given its source protein's identification was called proteotypicity. Much effort has been since applied to predict proteotypic peptides and summarize evidence on peptide detection. Nevertheless, when targeted proteomics method is being developed, prediction or inference from communal experience might be inaccurate and prior knowledge of true peptide proteotypicity in a given setup for a given population is necessary. In this work we test fully in-house approach for proteotypicity assessment including comprehensive peptide synthesis and detection verification. Proteotypicity and contribution of sample processing and biology-related factors are estimated in a model experiment.