Alternative splicing fine-tunes modular protein interfaces to control protein localisation

Abstract Alternative splicing provides a pervasive means to expand proteome complexity, yet how it reorganises protein interactions and constrains where proteins act within cell remains unclear. By constructing an interface-resolved interaction network composed of 17,660 experimentally defined contact sites, we reveal that tissue-specific alternative splicing remodels protein connectivity by reshaping modular protein architecture. Longer exons reshape local interaction patterns whereas microexons fine-tune key interfaces linking distinct cellular processes. Integration of subcellular localisation data further indicates that such rewiring can redistribute proteins within cells. To test this, we developed a high-content imaging approach to systematically evaluate the influence of individual exons on protein localisation and screened a targeted library of protein isoforms differing in individual exons. 38% of the tested isoform pairs altered localisation, with microexons, although typically shorter than five amino acids, accounting for a substantial proportion of these effects. Bioinformatic and structural analyses identified that microexons can extend secondary structural regions and reposition charged residues, suggesting a potential to modulate local electrostatic environments. Consistent with this, biochemical analysis of a four–amino acid microexon in sorting nexin 2 - identified through our screen - confirmed that residue insertion, rather than side chain chemistry, was driving differences in protein localisation through repositioning of a flanking, charged residue. Together, these findings describe a principle by which alternative splicing fine-tunes interface architecture to coordinate protein assembly, localisation, and proteome organisation. Competing Interest Statement The authors have declared no competing interest. Footnotes Added analysis of alternative splicing's impact on protein interfaces to the the paper. Also added additional analysis of the impact of isoform expression levels to the manuscript, and more data to validate the conclusions on the SNX2 isoforms.