Pre-Vaccination Immune Signatures for 21 Children with Inborn Errors of Immunity

Twenty-one SARS-CoV-2-naïve participants with inborn errors of immunity were stratified as high or low responders to the BNT162b2 mRNA vaccine based on antibody titers. Transcriptional profiling revealed 41 differentially expressed genes between groups at baseline, indicating distinct pre-vaccination immune states. The dataset, authored by Paolo Palma and last updated in April 2026, includes files in TIF, DOCX, and XLSX formats totaling 238.5 MB.

Use Cases

• Predicting humoral vaccine response based on pre-vaccination transcriptional signatures described in the study.
• Identifying gene expression biomarkers (e.g., NFKB1, CD69, TIGIT) associated with switched memory B cell frequencies.
• Modeling the relationship between peripheral T follicular helper cell activity and coordinated antibody production.
• Developing personalized vaccination strategies for impaired immunity based on baseline molecular immune features.

Strengths

• Includes transcriptional data from 21 participants with diverse inborn errors of immunity.
• Identifies 41 differentially expressed genes between high and low vaccine responders.
• Links specific immune cell subsets (switched memory B cells, T follicular helper cells) to clinical outcomes.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The sample size of 21 participants may limit statistical power for some analyses.

Provenance

Source

figshare

Collection Method

Laboratory stimulation and transcriptional profiling of immune cells from vaccinated participants.

Time Range

Study period not specified; data reflects pre- and post-vaccination time points.

Freshness

Last updated 2026-04-24 07:53:25; freshness should be verified.

Geography

Geographic coverage of participants is not specified.