Excel · study · 2026
Isoform-level analysis reveals conserved early changes in transcript usage during human vaccine responses
Listed in NCBI GEO
Description
Background
Multiple studies have investigated and characterized transcriptional changes associated with vaccination at the gene level, but whether vaccination also alters transcript isoform usage remains largely unexplored.
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Methods
We re-analyzed longitudinal whole-blood RNA-seq data from two independent cohorts of mRNA COVID-19 vaccine recipients using the IsoformSwitchAnalyzeR framework. Key findings were validated by full-length RNA long-read sequencing and extended to four additional vaccine cohorts covering distinct platforms and pathogens. Results: mRNA vaccination induced a rapid and transient wave of differential transcript usage, peaking at 24 hours post-vaccination with 131 isoforms significantly altered across 107 genes, before largely resolving by day 14.
Isoform switching events were reproducible across independent cohorts and confirmed by full-length RNA long-read sequencing. Structural annotation of switching transcripts, including RMI2, WARS1, and NT5C3A, revealed changes affecting predicted protein domains and signal peptides. Notably, highly concordant isoform switching patterns were observed across MVA-based SARS-CoV-2, influenza, and Ebola vaccine cohorts, and showed dose-dependent modulation.
Conclusions: Differential transcript isoform usage is a rapid, transient, and conserved feature of the early human immune response to vaccination, independent of platform or pathogen. These findings reveal an underappreciated layer of transcriptional regulation that complements conventional gene-level analyses and warrants integration into future vaccine immunogenicity studies.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE342nnn/GSE342810 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE342810 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1508924 ncbi.nlm.nih.gov/bioproject/PRJNA1508924 ↗
project · from NCBI GEO
- PubMed 42670157 pubmed.ncbi.nlm.nih.gov/42670157 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Bioinformatics and computational biology 69% · Longitudinal study 65% · RNA sequencing 65% · Sequencing 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE342810 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3102 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[method].local:method:longitudinal-study | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |