Comprehensive Multimodal Immune Response Dataset for LAIV Vaccination in Pediatric Cohorts

This dataset is part of the publication "Integrative Mapping of Pre-existing Immune Landscapes for Vaccine Response Prediction". It provides detailed immune profiling of 244 children from The Gambia who received the trivalent live attenuated influenza vaccine (LAIV, Nasovac-S) during the 2016–2017 and 2017–2018 influenza seasons. It integrates multi-dimensional immune parameters across baseline and post-vaccination timepoints (day 0, day 2, day 7, and day 21) to capture individual immunogenicity profiles.

The dataset includes:

Humoral immune responses: Haemagglutination inhibition (HAI) assays, influenza virus protein microarray (IVPM), antibody-dependent cellular cytotoxicity (ADCC) activity, and enzyme-linked immunosorbent assay (ELISA) data for IgA and IgG levels. These measurements assess responses to vaccine-matched and cross-reactive influenza strains, including H1N1, H3N2, and B/Victoria.

Cellular immune responses: T-cell cytokine production (e.g., interferon-gamma (IFN-γ) and interleukin-2 (IL-2)) measured via intracellular cytokine staining (ICS) following stimulation with hemagglutinin (HA), neuraminidase (NA), nucleoprotein (NP), and matrix (M) protein peptides.

Viral shedding and microbiome analysis: Viral load quantification by reverse-transcription PCR (RT-PCR) for vaccine strains (H1N1, H3N2, and Flu B) and nasopharyngeal microbiome profiling focusing on Streptococcus pneumoniae density.

Immunophenotyping: Flow cytometry data on innate and adaptive immune cell subsets, including myeloid dendritic cells (mDCs), plasmacytoid dendritic cells (pDCs), monocyte subsets (classical, intermediate, and non-classical), and T follicular helper (Tfh) cells.

Transcriptomics: RNA-sequencing (RNA-seq) data from nasal and blood samples, providing transcriptomic profiles analyzed through gene set enrichment analysis (GSEA).

This dataset offers a unique resource for studying LAIV-induced immune responses and developing predictive models for vaccine immunogenicity, with applications in precision-guided vaccination strategies.