The results show that alternative transcript diversity extensively enters translation-supported proteoform space and establish a systematic link between transcript variation and protein functional diversification.
Abstract
Alternative splicing generates extensive transcript diversity, but the extent to which this diversity contributes to the translated proteome and reshapes protein function remains unclear. Here, we develop 3DisoGalaxy, an atlas integrating transcript reconstruction, ribosome profiling, structural modelling and regulatory annotation in breast cancer. We find that 58,292 of 90,929 transcripts are linked to translation-supported ORFs, 71.9% of which arise from non-canonical transcript structures. These products are broadly accommodated within established protein fold space, indicating that alternative isoforms frequently preserve recognizable protein architectures despite substantial sequence variation. Functional divergence is instead concentrated in domains, intrinsically disordered regions, localization determinants and regulatory motifs. Motif-repertoire remodelling is more extensive in cancer-driver genes than in other genes, linking isoform-associated regulatory variation to cancer-relevant proteins. As an example of domain remodelling, we identify an AKT1-ΔPH isoform that lacks the N-terminal PH domain while retaining the kinase core, with immunoblotting revealing a lower-molecular-weight AKT1 species consistent with this isoform. Together, our results show that alternative transcript diversity extensively enters translation-supported proteoform space and establish a systematic link between transcript variation and protein functional diversification. Graphical Abstract
Background Alternative splicing expands the coding capacity of single genes into diverse protein families, and its dysregulation is a recognized hallmark of cancer. Despite this, the characterization of splice variants is largely restricted to sequence-level annotations. The functional consequences of an isoform, such...
Jakob Steuer, Abdullah Kahraman· bioRxiv· 0 citations
This review integrates the molecular logic of splice-site selection with the cancer-specific mechanisms that perturb it, summarizes representative isoform switches across the hallmarks of cancer, evaluates emerging technologies and clinical biomarkers, and discusses the opportunities and constraints of translating spli...
SpliceImpactR is introduced, an open-source tool that systematically identifies RNA isoform switches—including alternative first and last exons, exon skipping, intron retention, hybrid exons, and splice site variation—across the human transcriptome, and predicts their impact on encoded proteins.
Zachary Peters Wakefield, Ana Fiszbein· bioRxiv· 2 citations
This crucial yet underexplored layer of transcriptomic regulation in human disease is reviewed, encompassing regulatory mechanisms, technological advances, therapeutic strategies, and future directions.
How splicing-dependent and splicing-independent activities are integrated are discussed and a framework in which splicing factors act as regulatory hubs coordinating gene expression across multiple layers is proposed.
M. J. Iglesias, Y. Agrofoglio, Lukasz Szewc et al.· TIBS -Trends in Biochemical...· 0 citations
Ovarian aging is marked by a progressive diminution of oocyte quality and quantity, and long-read sequencing improves isoform-level resolution of ovarian transcriptomic diversity and identifies candidate aging-associated transcript alterations that may be relevant to reproductive decline.
Haiyang Wu, Xiaoyu Yin, Min Zhang et al.· Journal of Ovarian Research· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.