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@ARTICLE{Xu:280257,
author = {Xu, Jishu and Hörner, Michaela and Atienza, Elena Buena
and Manibarathi, Kalaivani and Nagel, Maike and Hauser,
Stefan and Admard, Jakob and Casadei, Nicolas and Ossowski,
Stephan and Schuele, Rebecca},
title = {{L}ong-read {RNA}-sequencing reveals transcript-specific
regulation in human-derived cortical neurons.},
journal = {Open biology},
volume = {15},
number = {7},
issn = {2046-2441},
address = {London},
publisher = {Royal Society Publishing},
reportid = {DZNE-2025-00935},
pages = {250200},
year = {2025},
abstract = {Long-read RNA sequencing has transformed transcriptome
analysis by enabling comprehensive mapping of full-length
transcripts, providing an unprecedented resolution of
transcript diversity, alternative splicing and
transcript-specific regulation. In this study, we employed
nanopore long-read RNA sequencing to profile the
transcriptomes of three cell types commonly used to model
brain disorders, human fibroblasts, induced pluripotent stem
cells and stem cell-derived cortical neurons, identifying
extensive transcript diversity with 15 072 transcripts in
stem cell-derived cortical neurons, 13 048 in fibroblasts
and 12 759 in induced pluripotent stem cells. Our analyses
uncovered 35 519 differential transcript expression events
and 5135 differential transcript usage events, underscoring
the complexity of transcriptomic regulation across these
cell types. Importantly, by integrating differential
transcript expression and usage analyses, we gained deeper
insights into transcript dynamics that are not captured by
gene-level expression analysis alone. Differential
transcript usage analysis highlighted transcript-specific
changes in disease-relevant genes such as APP, KIF2A and
BSCL2, associated with Alzheimer's disease, neuronal
migration disorders and degenerative axonopathies,
respectively. This added resolution emphasizes the
significance of transcript-level variations that often
remain hidden in traditional differential gene expression
analyses. Overall, our work provides a framework for
understanding transcript diversity in both pluripotent and
specialized cell types, which can be used to investigate
transcriptomic changes in disease states in future work.
Additionally, this study underscores the utility of
differential transcript usage analysis in advancing our
understanding of neurodevelopmental and neurodegenerative
diseases, paving the way for identifying transcript-specific
therapeutic targets.},
keywords = {Humans / Neurons: metabolism / Neurons: cytology / Sequence
Analysis, RNA: methods / Transcriptome / Induced Pluripotent
Stem Cells: metabolism / Induced Pluripotent Stem Cells:
cytology / Gene Expression Profiling: methods / Gene
Expression Regulation / Fibroblasts: metabolism /
Fibroblasts: cytology / Cerebral Cortex: cytology / Cerebral
Cortex: metabolism / Alternative Splicing / alternative
splicing (Other) / human-derived cortical neurons (Other) /
induced pluripotent stem cells (Other) / long-read
RNA-sequencing (Other) / transcript usage (Other) /
transcriptomics (Other)},
cin = {AG Hauser},
ddc = {570},
cid = {I:(DE-2719)1210016},
pnm = {352 - Disease Mechanisms (POF4-352)},
pid = {G:(DE-HGF)POF4-352},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:40735840},
pmc = {pmc:PMC12308531},
doi = {10.1098/rsob.250200},
url = {https://pub.dzne.de/record/280257},
}