A spatially resolved brain region- and cell type-specific isoform atlas of the postnatal mouse brain

TitleA spatially resolved brain region- and cell type-specific isoform atlas of the postnatal mouse brain
Publication TypeJournal Article
Year of Publication2021
AuthorsJoglekar, A, Prjibelski, A, Mahfouz, A, Collier, P, Lin, S, Schlusche, AKatharina, Marrocco, J, Williams, SR, Haase, B, Hayes, A, Chew, JG, Weisenfeld, NI, Wong, MYing, Stein, AN, Hardwick, SA, Hunt, T, Wang, Q, Dieterich, C, Bent, Z, Fedrigo, O, Sloan, SA, Risso, D, Jarvis, ED, Flicek, P, Luo, W, Pitt, GS, Frankish, A, Smit, AB, M Ross, E, Tilgner, HU
JournalNat Commun
Volume12
Issue1
Pagination463
Date Published2021 01 19
ISSN2041-1723
KeywordsAlternative Splicing, Animals, Animals, Newborn, Computational Biology, Female, Gene Expression Regulation, Developmental, Hippocampus, Mice, Models, Animal, Prefrontal Cortex, Protein Isoforms, Single-Cell Analysis, Spatial Analysis
Abstract

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.

DOI10.1038/s41467-020-20343-5
Alternate JournalNat Commun