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Chikaoka, Y.

Publications and source records attributed to Chikaoka, Y..

2 recordsLinked to original sources

Integrated Antibody and DIA Based Plasma Proteomics Uncover Temporal Host Responses to SARS CoV 2 Infection

This is a single-case longitudinal study in which we monitored antibody responses and plasma proteome dynamics over a 310-day period in a single individual who underwent COVID-19 vaccination and SARS-CoV-2 infection. To evaluate COVID-19 antibody responses, human plasma samples collected over 310 days (August 18, 2021, to June 22, 2022) were analyzed by DIA-LC-MS/MS proteomics. This led to the acquisition of a quantitative protein profile and allowed validation of the temporal behavior of expressed proteins within the samples. A total of 1,502 proteins were identified from the plasma samples. Before vaccination, after the first dose, after the second dose, and during the period after contracting the novel coronavirus, protein quantification values during each event interval were compared. Despite minimal changes before and after COVID-19 vaccination, notable proteins exhibiting distinct high-expression and low-expression patterns were identified after SARS-CoV-2 infection.

molecular biology↗

Deep proteome analysis of time-series human plasma samples applied to Covid-19 antibody test

For the purpose of Covid-19 antibody testing, the human plasma samples acquired over a period of 310 days from August 18, 2021, to June 22, 2022, were subjected to DIA LC-MS proteome analysis. This process led to the acquisition of a quantitative protein profile and allowed for the validation of the temporal behavior of expressed proteins within the samples. A total of 1502 proteins were identified from the plasma samples. Before vaccination, after the first dose, after the second dose, and during the period after contracting the novel coronavirus, protein quantification values during each event interval were compared. Despite minimal changes observed before and after Covid-19 vaccination, notable proteins exhibiting distinct high-expression and low-expression patterns were identified after contracting the novel coronavirus infection.

molecular biology↗