ArticleCell reports2025
Reverse engineering neuron-type-specific and type-orthogonal splicing-regulatory networks using diverse cellular transcriptomes.
Article in Cell reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Exon inclusion signatures enable accurate estimation of splicing factor activity.Nature communications · 2026Article
- Mapping isoforms and regulatory mechanisms from spatial transcriptomics data with SPLISOSM.Nature biotechnology · 2026Article
- Exon inclusion signatures enable accurate estimation of splicing factor activity.bioRxiv : the preprint server for biology · 2025Article
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7 authors.
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Abstract
Cell-type-specific alternative splicing (AS) enables differential gene isoform expression between diverse neuron types with distinct identities and functions. Current studies linking individual RNA-binding proteins (RBPs) to AS in a limited number of neuron types underscore the need for holistic modeling. Here, we use network reverse engineering to derive a map of the neuron-type-specific AS-regulatory landscape of 133 mouse neocortical cell types using pseudobulk transcriptomes derived from single-cell data. We infer the regulons of 350 RBPs and their cell-type-specific activities, among which we validate Elavl2 as a key RBP for medial ganglionic eminence (MGE)-specific splicing in GABAergic interneurons using an in vitro embryonic stem cell (ESC) differentiation system. We also identify a module of exons and candidate regulators specific to long- and short-projection neurons across multiple neuronal classes. This study provides a resource for elucidating splicing-regulatory programs that drive neuronal molecular diversity, including those that do not align with gene-expression-based classifications.
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