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An in vivo parallelized reporter assay to uncover tissue-specific splicing regulatory sequences in a multicellular animal

Bhatnagar, S.; Ho, J.; Singh, I.; Sadek, N. H.; Zoberman, M.; Koterniak, B.; Liu, Y.; Fusca, D.; Cutter, A. D.; Moses, A. M.; Calarco, J. A.

2025-08-19 molecular biology
10.1101/2025.08.16.670696 bioRxiv
Show abstract

Introns play a critical role in regulating alternative splicing. However, identifying functional intronic motifs is challenging due to their short and degenerate sequence composition. Massively parallel reporter assays have provided insights into cis-regulatory logic governing alternative splicing, but these approaches are generally performed in cell culture, limiting their ability to capture tissue-specific contexts. Here, we implemented in vivo Parallelized Reporter Assays in C. elegans neurons and muscle cells to screen for intronic enhancer and silencer motifs among thousands of randomized sequences. We identified nearly 200 sequences regulating splicing in these tissues. We uncovered core sub-sequences with tissue-biased enhancing and silencing activity, including motifs recognized by well-characterized RNA-binding proteins, and orphan motifs with no obvious cognate binding protein. Mapping our PRA-derived motifs to native introns flanking tissue-biased alternative exons revealed their conservation across nematodes, supporting their functional relevance. Additionally, individual intronic regions frequently contained diverse combinations of these motifs, indicative of complex engagement of these sequences by RNA-binding proteins. Finally, we performed targeted mutagenesis of PRA-derived intronic enhancers flanking a neuronal microexon, identifying key cis-regulatory determinants of microexon splicing. Together, our study provides a framework to explore the role of intronic regions in tissue-specific splicing regulation within a multicellular organism. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=107 SRC="FIGDIR/small/670696v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@84d5daorg.highwire.dtl.DTLVardef@f3f625org.highwire.dtl.DTLVardef@a53739org.highwire.dtl.DTLVardef@ccbb03_HPS_FORMAT_FIGEXP M_FIG C_FIG

Published in Nucleic Acids Research (predicted rank #2) · training set

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