2026-10-12T20:58:04Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33978183 2026-09-24T00:07:54Z category_4 category_12 category_21 category_873 category_734 category_69 category_106 portal_63 item_type_3 month_year_09_2026

Implementation of an Internalized Hemolysis Assessment Approach in Targeted Bottom-Up Proteomics for the Purpose of Blood Plasma Sample Quality Control Anastasia V. Vakaryuk (25100157) Ivan O. Butenko (8783384) Natalia A. Kitsilovskaya (25100160) Alexey V. Kovalenko (25100163) Veronica D. Gremyacheva (25100166) Grigory L. Kozhemyakin (20522147) Angelina A. Lebedeva (25100169) Nikita M. Baraboshkin (25100172) Oleg V. Fedorov (1590040) Olga V. Kurilova (11532418) Konstantin S. Gorbunov (25100175) Irina V. Kolesnikova (11388272) Lyubov A. Davydova (25100178) Vadim M. Govorun (213423) Biochemistry Cell Biology Biotechnology Chemical Sciences not elsewhere classified Biological Sciences not elsewhere classified Inorganic Chemistry Science Policy standard mrm analyses several protein markers internal control approach geyer et al targeted quantitative method targeted proteomic analysis proteomic analysis targeted bottom proteomic research triangular strategy propose including previous study model experiment hemolysis based earlier study detect hemolysis described proteins biomarker discovery Mishandling of samples during blood plasma preparation may lead to biases in proteomic analysis and misinterpretation of data. An earlier study by Geyer et al. (2019) described proteins that may indicate poor plasma sample quality. Following this work, we have imitated a triangular strategy for biomarker discovery, established a targeted quantitative method for panels of hemolyzed and coagulated plasma sample markers proposed in the previous study, and validated it in our own model experiment. We have developed a scale for estimating the degree (rate) of hemolysis based on several protein markers and investigated the feasibility of using an internal control approach to detect hemolysis in targeted proteomic analysis. We propose including our plasma sample quality assessment and associated sample exclusion criteria into standard MRM analyses to provide more reliable data for proteomic research. 2026-09-23T00:00:00Z Dataset Dataset 10.1021/acs.jproteome.6c00157.s001 https://figshare.com/articles/dataset/Implementation_of_an_Internalized_Hemolysis_Assessment_Approach_in_Targeted_Bottom-Up_Proteomics_for_the_Purpose_of_Blood_Plasma_Sample_Quality_Control/33978183 CC BY-NC 4.0