Evidence map›Paper›PMID 41764538›Full record

ArticleGenome biology2026

Decoding exon inclusion in the human brain reveals more divergent splicing mechanisms in neurons than glia.

Lieke Michielsen, Justine Hsu, Anoushka Joglekar, Natan Belchikov, Marcel J T Reinders, Hagen U Tilgner, Ahmed Mahfouz

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Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Lieke MichielsenDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Justine HsuCenter for Neurogenetics, Weill Cornell Medicine, New York, NY, USA.
Anoushka JoglekarCenter for Neurogenetics, Weill Cornell Medicine, New York, NY, USA.
Natan BelchikovCenter for Neurogenetics, Weill Cornell Medicine, New York, NY, USA.
Marcel J T ReindersDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Hagen U TilgnerCenter for Neurogenetics, Weill Cornell Medicine, New York, NY, USA. hut2006@med.cornell.edu.
Ahmed MahfouzDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands. a.mahfouz@lumc.nl.

Funding

European Molecular Biology Organization Scientific Exchange Grant: 9673Koninklijke Nederlandse Akademie van Wetenschappen Van Leersum GrantNederlandse Organisatie voor Wetenschappelijk Onderzoek 024.004.012
6 · The paper itself

Abstract

backgroundAlternative splicing contributes to molecular diversity across brain cell types. RNA-binding proteins (RBPs) regulate splicing, but the genome-wide mechanisms underlying cell-type-specific splicing remain poorly understood.

resultsHere, we want to unravel cell-type-specific splicing mechanisms by using RBP binding sites and/or the genomic sequence to predict exon inclusion in neurons and glia as measured by long-read single-cell data in the human hippocampus and frontal cortex. We found that exon inclusion of variable exons is harder to predict in neurons compared to glia in both brain regions. Comparing neurons and glia, the position of RBP binding sites in alternatively spliced exons in neurons differ more from non-variable exons indicating distinct splicing mechanisms. Model interpretation pinpointed RBPs, including QKI, potentially regulating alternative splicing between neurons and glia. Finally, we accurately predict and prioritize the effect of splicing QTLs.

conclusionsOur results indicate that the splicing mechanisms in variable exons in neurons diverged more from the standard mechanisms. Splicing in neurons might be less sequence-dependent and influenced more by, for instance, chromatin accessibility or methylation. Taken together, these results highlight new insights into the mechanisms regulating cell-type-specific alternative splicing in the brain.

Indexed as

Alternative SplicingBrainExonsNeurogliaNeuronsBinding SitesHumansQuantitative Trait LociRNA-Binding ProteinsRNA-Binding ProteinsAlternative splicingBrainLong-read single-cell sequencingPrediction models

Identifiers

PMID41764538
PMCPMC13059442

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.