Dataset Information

Systems biology analysis reveals distinct molecular signatures promoting immune responsiveness to the BNT162b COVID-19 vaccine [scRNA-seq]

ABSTRACT: Human immune responses to COVID-19 vaccines display a large heterogeneity of induced immunity and the underlying immune mechanisms for this remain largely unknown. Using a systems biology approach, we longitudinally profiled a unique cohort of female high and low responders to the BNT162b vaccine, who were known from previous COVID-19 vaccinations to develop maximum and minimum immune responses to the vaccine. We utilized high dimensional flow cytometry, bulk and single cell mRNA sequencing and 48-plex serum cytokine analyses. We revealed early, transient immunological and molecular signatures that distinguished high from low responders and correlated with B and T cell responses measured 14 days later. High responders featured a distinct transcriptional activity of interferon-driven genes and genes connected to enhanced antigen presentation. This was accompanied by a robust cytokine response related to Th1 differentiation. Both transcriptome and serum cytokine signatures were confirmed in two independent confirmatory cohorts. Collectively, our data contribute to a better understanding of the immunogenicity of mRNA-based COVID-19 vaccines, which might lead to the optimization of vaccine designs for individuals with poor vaccine responses.

ORGANISM(S): Homo sapiens

PROVIDER: GSE246937 | GEO | 2024/01/29

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:The COVID-19 pandemic has prompted vaccine development efforts on an unprecedented scale. Vaccines based on mRNA technology have emerged as particularly attractive due to their high efficacy and short development timelines. However, relatively little is known about the factors contributing to the development of protective immunity by this new class of vaccines. We employed a high-temporal-resolution transcriptome profiling approach to investigate responses to COVID-19 mRNA vaccination. A cohort of 23 subjects was recruited and changes in blood transcript abundance were measured daily for 9 days post-priming and post-booster vaccination via RNA sequencing. Antibody responses were measured on days 7 and 14 post-vaccination using a custom multiplex assay. Marked differences were observed between responses to the priming and booster doses, with the latter inducing widespread changes in blood transcript abundance consistent with those found in patients with acute viral respiratory infections. The delineation of interferon responses at a high-temporal frequency also suggested that the priming and booster doses elicited distinct types of responses that peaked on day 2 post-priming dose and day 1 post-booster dose. The booster dose also induced inflammation on day 1 and erythroid cell signatures as well as an atypical plasmablast signature on day 4. Notably, this plasmablast signature, together with the post-booster interferon response signature, correlated with the antibody response levels induced on day 14 after the booster dose. Taken together, this work provides a detailed map of the antibody and transcriptional responses to the first and second doses of a new class of vaccine and yields important insights into the mechanisms underlying their immunogenicity. Furthermore, our results suggest that implementing high-temporal-frequency immune profiling protocols may provide an opportunity to better resolve the immune responses elicited by the growing number of available COVID-19 vaccines.

Dataset Information

Systems biology analysis reveals distinct molecular signatures promoting immune responsiveness to the BNT162b COVID-19 vaccine [scRNA-seq]

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets