ArticleeNeuro2024
RNA Isoform Diversity in Human Neurodegenerative Diseases.
Article in eNeuro, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
Who cites it
6 citing papers in PubMed.
- RNA isoform diversity, splicing variants and switching in single cells of the Alzheimer's disease brain.Communications biology · 2026Article
- isoSeQL: comparing long-read isoforms across multiple datasets.Bioinformatics (Oxford, England) · 2026Article
- RNA isoform diversity, splicing variants, and switching in single cells of the Alzheimer's disease brain.Research square · 2025Article
- mRNA Isoforms and Variants in Health and Disease.International journal of molecular sciences · 2025Review
- Precision and Accuracy in Quantitative Measurement of Gene Expression from Single-cell/nucleus RNA Sequencing Data.Genomics, proteomics & bioinformatics · 2025Article
- RNA Structure: Past, Future, and Gene Therapy Applications.International journal of molecular sciences · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Single-nucleus RNA-sequencing (snRNA-seq) has revealed new levels of cellular organization and diversity within the human brain. However, full-length mRNA isoforms are not resolved in typical snRNA-seq analyses using short-read sequencing that cannot capture full-length transcripts. Here we combine standard 10x Genomics short-read snRNA-seq with targeted PacBio long-read snRNA-seq to examine isoforms of genes associated with neurological diseases at the single-cell level from prefrontal cortex samples of diseased and nondiseased human brain, assessing over 165,000 cells. Samples from 25 postmortem donors with Alzheimer's disease (AD), dementia with Lewy bodies (DLB), or Parkinson's disease (PD), along with age-matched controls, were compared. Analysis of the short-read libraries identified shared and distinct gene expression changes across the diseases. The same libraries were then assayed using enrichment probes to target 50 disease-related genes followed by long-read PacBio sequencing, enabling linkage between cell type and isoform expression. Vast mRNA isoform diversity was observed in all 50 targeted genes, even those that were not differentially expressed in the short-read data. We also developed an informatics method for detection of isoform structural differences in novel isoforms versus the reference annotation. These data expand available single-cell datasets of the human prefrontal cortical transcriptome with combined short- and long-read sequencing across AD, DLB, and PD, revealing increased mRNA isoform diversity that may contribute to disease features and could potentially represent therapeutic targets for neurodegenerative diseases.
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Registered trials
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.