Nature CommunicationsNeurosciencePeer-reviewed journal article
Cell-type, single-cell, and spatial signatures of brain-region specific splicing in postnatal development
Anoushka JoglekariD, Andrey D. PrjibelskiiD, Ahmed Essam MahfouziD, Paul G. Collier, Susan LiniD, Anna Katharina SchluscheiD, Jordan MarroccoiD, Stephen R. WilliamsiD, Bettina HaaseiD, Ashley Hayes, Jennifer G. Chew, Neil Weisenfeld, Man Ying WongiD, Alexander N. SteiniD, Simon A. HardwickiD, Toby HuntiD, Qi WangiD, Christoph DieterichiD, Zachary Bent, Olivier D. FedrigoiD, Steven A. SloaniD, Davide RissoiD, Erich David JarvisiD, Paul FlicekiD, Wenjie LuoiD, , Hagen TilgneriD
Abstract
Alternative RNA splicing varies across brain regions, but the single-cell resolution of such regional variation is unknown. Here we present the first single-cell investigation of differential isoform expression (DIE) between brain regions, by performing single cell long-read transcriptome sequencing in the mouse hippocampus and prefrontal cortex in 45 cell types at postnatal day 7 (www.isoformAtlas.com). Using isoform tests for brain-region specific DIE, which outperform exon-based tests, we detect hundreds of brain-region specific DIE events traceable to specific cell-types. Many DIE events correspond to functionally distinct protein isoforms, some with just a 6-nucleotide exon variant. In most instances, one cell type is responsible for brain-region specific DIE. Cell types indigenous to only one anatomic structure display distinctive DIE, where for example, the choroid plexus epithelium manifest unique transcription start sites. However, for some genes, multiple cell-types are responsible for DIE in bulk data, indicating that regional identity can, although less frequently, override cell-type specificity. We validated our findings with spatial transcriptomics and long-read sequencing, yielding the first spatially resolved splicing map in the postnatal mouse brain (www.isoformAtlas.com). Our methods are highly generalizable. They provide a robust means of quantifying isoform expression with cell-type and spatial resolution, and reveal how the brain integrates molecular and cellular complexity to serve function.
- organism: mouse
- assay: long-read sequencing
- assay: spatial transcriptomics
- research focus: differential expression
- approach: statistical model
- Citations
- 229
- FWCI
- 13.25
- Field percentile
- top 1%
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