Deep, Unbiased, and Quantitative Mass Spectrometry-Based Plasma Proteome Analysis of Individual Responses to mRNA COVID-19 Vaccine
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://figshare.com/articles/dataset/Deep_Unbiased_and_Quantitative_Mass_Spectrometry-Based_Plasma_Proteome_Analysis_of_Individual_Responses_to_mRNA_COVID-19_Vaccine/28348114
下载链接
链接失效反馈官方服务:
资源简介:
Global campaign against COVID-19
have vaccinated a significant
portion of the world population in recent years. Combating the COVID-19
pandemic with mRNA vaccines played a pivotal role in the global immunization
effort. However, individual responses to a vaccine are diverse and
lead to varying vaccination efficacy. Despite significant progress,
a complete understanding of the molecular mechanisms driving the individual
immune response to the COVID-19 vaccine remains elusive. To address
this gap, we combined a novel nanoparticle-based proteomic workflow
with tandem mass tag (TMT) labeling, to quantitatively assess the
proteomic changes in a cohort of 12 volunteers following two doses
of the Pfizer-BioNTech mRNA COVID-19 vaccine. This optimized protocol
seamlessly integrates comprehensive proteome analysis with enhanced
throughput by leveraging the enrichment of low-abundant plasma proteins
by engineered nanoparticles. Our data demonstrate the ability of this
workflow to quantify over 3,000 proteins, providing the deepest view
into COVID-19 vaccine-related plasma proteome study. We identified
69 proteins with boosted responses post-second dose and 74 proteins
differentially regulated between individuals who contracted COVID-19
despite vaccination and those who did not. These findings offer valuable
insights into individual variability in response to vaccination, demonstrating
the potential of personalized medicine approaches in vaccine development.
创建时间:
2025-02-04



