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Nature CommunicationsGenomicsPeer-reviewed journal article

A spatial long-read approach at near-single-cell resolution reveals developmental regulation of splicing and polyadenylation sites in distinct cortical layers and cell types.

Careen FoordiD, Andrey D. PrjibelskiiD, Wen HuiD, Lieke MichielseniD, Andrea VandelliiD, Oleksandr NarykoviD, Brian Evans, Justine HsuiD, Natan BelchikoviD, Julien JarrouxiD, Yi HeiD, Margaret Elizabeth RossiD, Iman HajirasoulihaiD, Gian Gaetano TartagliaiD, Dmitry KorkiniD, Alexandru Ioan TomescuiD, Hagen TilgneriD

PDFDOIPreprint

Abstract

Genome-wide single-cell and spatial long-read approaches have gained traction, but mostly lack single-cell resolution - and yield limited read lengths. Here, we introduce spatial ISOform sequencing (Spl-ISO-Seq), which reveals exons and polyadenylation sites from long reads with near-single-cell resolution. Spl-ISO-Seq selects long cDNAs and doubles to triples read lengths compared to standard preparations. Adding a highly specific software tool (Spl-ISOquant) and comparing human post-mortem pre-puberty samples of the visual cortex (8-11 years) to post-puberty samples (16-19 years), we find that cortical layers harbor stronger splicing and poly(A)-site regulation than the adjacent white matter, with enrichment of multiple protein-domain types. For oligodendrocytes however, developmental splicing changes are stronger in white matter. Among cortical layers, layer 4 has the most developmental changes in alternative-exon inclusion in excitatory neurons and in poly(A) sites. We also find many repeat elements, especially ERV1 long terminal repeats downstream of developmentally-regulated layer 4 exons. Overall, alternative splicing changes are linked to synapses - specifically at the post-synapse. Age-linked splicing changes in layers 1-3 and 4 are associated with autism spectrum disorder but not with schizophrenia, amyotrophic lateral sclerosis and Alzheimers disease. These results root developmental splicing changes during puberty and the resulting protein changes in specific layers and cell types. More generally, our new technologies enable new observations for any complex tissue.

Citations
22
FWCI
6.61
Field percentile
top 2%

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