Alternative splicing induces sample-level variation in gene-gene correlations.

ABSTRACT:

Background

The vast majority of genes in the genome are multi-exonic, and are alternatively spliced during transcription, resulting in multiple isoforms for each gene. For some genes, different mRNA isoforms may have differential expression levels or be involved in different pathways. Bulk tissue RNA-seq, as a widely used technology for transcriptome quantification, measures the total expression (TE) levels of each gene across multiple isoforms in multiple cell types for each tissue sample. With recent developments in precise quantification of alternative splicing events for each gene, we propose to study the effects of alternative splicing variation on gene-gene correlation effects. We adopted a variance-component model for testing the TE-TE correlations of one gene with a co-expr

SUBMITTER: Lu Y 

PROVIDER: S-EPMC11633002 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature