Isoforms in action: The impact of transcript diversity in phenotype.

Abstract

The study of RNA processing, in particular how alternative splicing and the use of alternative transcription start and end sites generate diverse transcript isoforms from a single gene, has advanced significantly alongside the development of RNA sequencing technologies. High-resolution whole-transcriptome sequencing has shown that much of the transcriptomic diversity observed in humans, compared to other species, stems from these alternative RNA processing events. Primary studies first revealed that a single gene could give rise to multiple RNA variants, which challenges the linear interpretation of the central dogma of molecular biology. However, progress in the field was limited by technological constraints and the inherent complexity of resolving isoforms at high resolution. Recent breakthroughs, which includes long-read sequencing, high-throughput FISH-based imaging, isoform-specific quantification tools, and improved software for transcript detection and quantification, have reignited interest and enabled a more detailed view of transcriptomic diversity. Understanding alternative isoforms is significant, as they expand the proteome, fine-tune gene regulation, and influence cellular phenotypes that are key to human disease research and possible therapeutic development.