Single-nucleus transcriptome atlas of orbitofrontal cortex in ALS with a deep learning-based decoding of alternative polyadenylation mechanisms

Amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD) are fatal neurodegenerative diseases sharing clinical and pathological features. Both involve complex neuron-glia interactions, but cell-type-specific alterations remain poorly defined. We performed single-nucleus RNA sequencing of the frontal cortex from C9orf72-related ALS (with and without FTLD) and sporadic ALS (sALS). Neurons showed prominent changes in mitochondrial function, protein homeostasis, and chromatin remodeling. Comparison with independent datasets from other cortical regions revealed consistent pathway alterations, including upregulation of STMN2 and NEFL across brain regions and subtypes. We further examined dysregulation of alternative polyadenylation (APA), an understudied post-transcriptional mechanism, uncovering cell-type-specific APA patterns. To investigate its regulation, we developed the alternative polyadenylation network (APA-Net), a multi-modal deep learning model integrating transcript sequences and RNA-binding protein (RBP) expression profiles to predict APA. This atlas advances our understanding of ALS/FTLD molecular pathology and provides a valuable resource for future mechanistic studies.

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Publication Details

Journal
Cell Genomics
Published
2025-09-17
DOI
https://doi.org/10.1016/j.xgen.2025.101007
Citations
3
Primary Topic
Amyotrophic Lateral Sclerosis Research
Type
article
Field-Weighted Citation Impact
4.17
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article

Single-nucleus transcriptome atlas of orbitofrontal cortex in ALS with a deep learning-based decoding of alternative polyadenylation mechanisms

Gary D. Bader, Gábor G. Kovács, Ekaterina A. Rogaeva, Troy Ketela et al.
3 citations
Cell Genomics
Amyotrophic Lateral Sclerosis Research
4.17
article

Single-nucleus transcriptome atlas of orbitofrontal cortex in ALS with a deep learning-based decoding of alternative polyadenylation mechanisms

Gary D. Bader, Gábor G. Kovács, Ekaterina A. Rogaeva, Troy Ketela, Naomi P. Visanji, Danielle Moreno, Paul M. McKeever, Philip McGoldrick, Julia Keith, Aiden M Sababi, Hani Goodarzi, Janice Robertson, Christine Sato, Zhiyu Xu, Shangxi Xiao, Raghav Sharma, Lorne Zinman
article en
3 citations

Abstract

Amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD) are fatal neurodegenerative diseases sharing clinical and pathological features. Both involve complex neuron-glia interactions, but cell-type-specific alterations remain poorly defined. We performed single-nucleus RNA sequencing of the frontal cortex from C9orf72-related ALS (with and without FTLD) and sporadic ALS (sALS). Neurons showed prominent changes in mitochondrial function, protein homeostasis, and chromatin remodeling. Comparison with independent datasets from other cortical regions revealed consistent pathway alterations, including upregulation of STMN2 and NEFL across brain regions and subtypes. We further examined dysregulation of alternative polyadenylation (APA), an understudied post-transcriptional mechanism, uncovering cell-type-specific APA patterns. To investigate its regulation, we developed the alternative polyadenylation network (APA-Net), a multi-modal deep learning model integrating transcript sequences and RNA-binding protein (RBP) expression profiles to predict APA. This atlas advances our understanding of ALS/FTLD molecular pathology and provides a valuable resource for future mechanistic studies.

Cell GenomicsVol. 5(12)
Sunnybrook Health Science Centre (CA), University Health Network (CA), University of California, San Francisco (US), University of Toronto (CA), Health Sciences Centre (CA), Princess Margaret Cancer Centre (CA), Occupational Cancer Research Centre (CA), Sinai Health System (CA), The Wilson Centre (CA)
Openalex Percentile: Top 5%
Amyotrophic Lateral Sclerosis Research
4.17
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