Evidence map›Paper›PMID 40661641›Full record

ArticlebioRxiv : the preprint server for biology2025

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 Foord, Andrey D Prjibelski, Wen Hu, Lieke Michielsen, Andrea Vandelli, Oleksandr Narykov, Brian Evans, Justine Hsu, Natan Belchikov, Julien Jarroux and 7 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Careen FoordFeil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.ORCID 0000-0003-2984-834X
Andrey D PrjibelskiDepartment of Computer Science, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-2816-4608
Wen HuFeil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.ORCID 0000-0002-0604-2119
Lieke MichielsenFeil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
Andrea VandelliRNA Systems Biology Lab, Center for Human Technologies, Istituto Italiano di Tecnologia.
Oleksandr NarykovBioinformatics and Computational Biology Program, Worcester Polytechnic Institute, Worcester, MA, USA.
Brian EvansFeil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
Justine HsuFeil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
Natan BelchikovFeil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
Julien JarrouxFeil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
Yi HeFeil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
M Elizabeth RossFeil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
Iman HajirasoulihaInstitute for Computational Biomedicine, Department of Physiology and Biophysics, Weill Cornell Medicine of Cornell University, New York, NY, USA.
Gian Gaetano TartagliaRNA Systems Biology Lab, Center for Human Technologies, Istituto Italiano di Tecnologia.ORCID 0000-0001-7524-6310
Dmitry KorkinBioinformatics and Computational Biology Program, Worcester Polytechnic Institute, Worcester, MA, USA.
Alexandru I TomescuDepartment of Computer Science, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-5747-8350
Hagen U TilgnerFeil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.

Funding

Integrative Single Cell isoform and chromatin accessibility Mapping of Chronic Opioid Exposure in Cognitive Brain Areas in HIVU01DA053625 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI MILNER, TERESA A, NDHLOVU, LISHOMWA C · 2021 to 2025
$4.0M
Tri-Institutional PhD Program in Computational Biology & MedicineT32GM132083 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI Doron Betel, Iman Hajirasouliha · 2020 to 2026
$3.6M
Understanding Genetic Complexity in Spina BifidaR01HD111089 · NICHD · WEILL MEDICAL COLL OF CORNELL UNIV · PI RICHARD H. FINNELL, MARGARET ELIZABETH ROSS · 2023 to 2026
$2.8M
Improving Metagenomic Analysis with Novel Algorithms and TechnologiesR35GM138152 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI Iman Hajirasouliha · 2020 to 2026
$2.5M
Cross-species conservation of cell-type and single-cell specific isoform expressionR01GM135247 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI TILGNER, HAGEN ULRICH · 2020 to 2023
$2.3M
Multiome measurements connecting transcription start sites at single-nucleotide resolution, DNA methylation and open chromatin status to splicing outcome across single cells in health and diseaseR35GM152101 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI HAGEN ULRICH TILGNER · 2024 to 2026
$1.7M
Single cell isoform expression across mouse brain regions and developmentRF1MH121267 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI TILGNER, HAGEN ULRICH · 2019 to 2019
$1.5M
Genetic and Environmental Influences on AddictionT32DA039080 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Teresa A Milner · 2017 to 2026
$1.4M
Predicting the functional impact of alternative splicing on protein-protein interactions using an integrated approachR01LM014017 · NLM · WORCESTER POLYTECHNIC INSTITUTE · PI KORKIN, DMITRY, SHEYNKMAN, GLORIA · 2022 to 2025
$1.3M
NICHD NIH HHS R01 HD111089NIDA NIH HHS T32 DA039080NIDA NIH HHS U01 DA053625NIGMS NIH HHS R01 GM135247NIGMS NIH HHS R35 GM138152NIGMS NIH HHS R35 GM152101NIGMS NIH HHS T32 GM132083NIMH NIH HHS RF1 MH121267NLM NIH HHS R01 LM014017
6 · The paper itself

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 Alzheimer's 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.

Identifiers

PMID40661641
PMCPMC12259066

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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.