← BioTransfer GEO Dataset Finder
GEO series

Single-cell multi-omics analysis revealing immune features of inactivated SARS-CoV-2 vaccination in systemic lupus erythematosus patients

GSE224198 Homo sapiens Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing 26 samples 2024/05/29 GPL20795
Summary
The COVID-19 vaccine-induced immunity has been widely reported in the general population, but the protective immune response of COVID-19 vaccines in SLE patients (SLEs) remains largely unknown. Here, we performed a comprehensive and time-series investigation of immunological alterations induced by inactivated COVID-19 vaccines in SLEs and healthy controls using single-cell multi-omics methods. Compared with healthy controls (HCs), the lower titres of neutralizing antibodies and global transcriptomic and epigenomic changes in peripheral immune cells were detected in SLEs. Increased expression levels of inflammatory responses related genes and AP-1 family members were commonly detected in SLEs and HCs, along with increased activation of T cells and diversity of T cell receptor repertoire. However, this vaccine enhanced chromatin accessibility at interferon response factors (IRF) loci in monocytes and conventional dendritic cells (cDCs) from SLEs at the late stage after vaccination, which was confirmed by transcriptome data and distinct from HCs. Vaccine induced less differentiations of B cells, expanded clonotypes and class switching clonotypes in SLEs, which was associated with impaired neutralization antibodies. Our study provides a system biology assessment of the transcriptomic and epigenomic landscape during an immune response induced by COVID-19 vaccine within SLEs, providing insights that will be useful in the optimization of vaccination strategies in immune compromised populations.
Download
NCBI GEO page ↗ Paper (PMID 38851910) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.