Researchers from the Center for Genomic Regulation in Barcelona have developed a new way to study how splicing factors control gene expression in cancer. Splicing factors determine how genes are pieced together into different RNA isoforms, shaping the diversity of proteins in our cells. When these factors malfunction, they can drive diseases such as cancer by producing faulty RNA messages.

To understand this process more deeply, the team combined CRISPR-based gene perturbations with single-cell RNA sequencing using a technique called Perturb-seq. Traditionally, this approach struggles to capture fine details at the exon level, the segments of genes that are spliced in or out. The researchers overcame this limitation by using shallow artificial neural networks to estimate splicing factor activity from broader gene expression patterns.

Their results revealed a complex web of regulatory interactions among splicing factors, including both protein–protein and splicing-mediated connections. Interestingly, the study also identified key pathways, such as MYC signaling, that link well-known cancer genes to splicing regulation. The patterns they uncovered mirror developmental processes, suggesting that cancer may hijack normal splicing programs for its own growth.

This work provides a powerful new framework for studying how splicing factors interact and how their dysregulation contributes to disease, paving the way for new diagnostic and therapeutic strategies.