Host Defense and Inflammation
Welcome to HK Lab
AID-SpliceBase is a comprehensive, multi-layer database that combines multiple dimensions of transcriptomic data from autoimmune patient and control samples to analyze differential splicing events (A3SS, A5SS, MXE, RI, and SE), differential transcript/isoform usage and, differential gene expression in control vs disease population. Alternative splicing and Isoform switching are fundamental post-transcriptional regulatory events that drives the overall transcriptome diversity and can greatly affect the immune homeostasis. Dysregulation in these mechanisms is increasingly recognized as a key driver of inflammation and pathology in autoimmune diseases.
Dataset statistics
Select a disease to see aggregated condition samples, or pick a specific dataset to view its condition distribution.
Splicing Mechanics
Mechanisms of Alternative Splicing
Pre-mRNA → Mature mRNA isoforms
All introns are removed and all exons are joined — produces a single, invariant mRNA transcript.
A cassette exon is either included or excluded, generating two isoforms with or without that exon's protein domain. Most common AS event in mammals.
Two competing donor sites at the 5′ end of an intron produce isoforms with longer or shorter upstream exons.
Two competing acceptor sites at the 3′ end of an intron create isoforms that differ in the start of the downstream exon.
An intron is retained in the mature transcript instead of being spliced out — often leads to NMD or altered protein function. Common in plants and lower eukaryotes.
Only one of two competing exons is included in any single transcript — both are never present together. Diversifies binding specificity or enzymatic activity (e.g. Drosophila Dscam).
Comprehensive Transcriptomic Insights
Dive deep into multi-dimensional transcriptomic data to uncover novel insights into alternative splicing events and their crucial roles in autoimmune diseases.
Advanced Data Visualization
Leverage interactive tools and dynamic charts that provide a comprehensive understanding of gene expression, isoform usage, and intricate splicing networks.
Disease-Specific Analysis
Analyze differences between control and disease populations to identify key post-transcriptional regulatory events driving immune homeostasis and pathology.
