Journal
NATURE COMMUNICATIONS
Volume 12, Issue 1, Pages -Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41467-020-20343-5
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Funding
- Brain Initiative [1RF1MH121267-01]
- NIGMS [1R01GM135247-01]
- NINDS [1R01NS105477]
- NIDA [T32DA03980]
- NIMH [R01MH118934]
- Australian NHMRC Early Career Fellowship [APP1156531]
- RFBR [19-04-01074]
- Programma per Giovani Ricercatori Rita Levi Montalcini - Italian Ministry of Education, University, and Research
- Chan Zuckerberg Initiative DAF
- Silicon Valley Community Foundation [CZF2019-002443]
- NCI [2U24CA180996]
- Brain and Behavior Foundation NARSAD YIA
- Sontag Foundation
- NHGRI [2U41HG007234]
- Wellcome [WT108749/Z/15/Z]
- European Molecular Biology Laboratory
- HHMI
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The study revealed variations in alternative RNA splicing across different brain regions, with unclear single-cell resolution of such differences. Certain genes can be influenced by multiple cell types, allowing regional identity to occasionally override cell-type specificity. Through spatial transcriptomics and long-read sequencing, a deeper understanding of brain integration of molecular and cellular complexities is achieved.
Splicing varies across brain regions, but the single-cell resolution of regional variation is unclear. We present a single-cell investigation of differential isoform expression (DIE) between brain regions using single-cell long-read sequencing in mouse hippocampus and prefrontal cortex in 45 cell types at postnatal day 7 (www.isoformAtlas.com). Isoform tests for DIE show better performance than exon tests. We detect hundreds of DIE events traceable to cell types, often corresponding to functionally distinct protein isoforms. Mostly, one cell type is responsible for brain-region specific DIE. However, for fewer genes, multiple cell types influence DIE. Thus, regional identity can, although rarely, override cell-type specificity. Cell types indigenous to one anatomic structure display distinctive DIE, e.g. the choroid plexus epithelium manifests distinct transcription-start-site usage. Spatial transcriptomics and long-read sequencing yield a spatially resolved splicing map. Our methods quantify isoform expression with cell-type and spatial resolution and it contributes to further our understanding of how the brain integrates molecular and cellular complexity. Alternative RNA splicing varies across the brain. Its mapping at single cell resolution is unclear. Here, the authors provide a spatial and single-cell splicing atlas reporting brain region- and cell type-specific expression of different isoforms in the postnatal mouse brain.
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