A single-cell map of antisense oligonucleotide activity in the brain
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Abstract
Antisense oligonucleotides (ASOs) dosed into cerebrospinal fluid (CSF) distribute broadly throughout the central nervous system (CNS). By modulating RNA, they hold the promise of targeting root molecular causes of disease and hold potential to treat myriad CNS disorders. Realization of this potential requires that ASOs must be active in the disease-relevant cells, and ideally, that monitorable biomarkers also reflect ASO activity in these cells. The biodistribution and activity of such centrally delivered ASOs have been deeply characterized in rodent and non-human primate (NHP) models, but usually only in bulk tissue, limiting our understanding of the distribution of ASO activity across individual cells and across diverse CNS cell types. Moreover, in human clinical trials, target engagement is usually monitorable only in a single compartment, CSF. We sought a deeper understanding of how individual cells and cell types contribute to bulk tissue signal in the CNS, and how these are linked to CSF biomarker outcomes. We employed single nucleus transcriptomics on tissue from mice treated with RNase H1 ASOs against Prnp and Malat1 and NHPs treated with an ASO against PRNP. Pharmacologic activity was observed in every cell type, though sometimes with substantial differences in magnitude. Single cell RNA count distributions implied target RNA suppression in every single sequenced cell, rather than intense knockdown in only some cells. Duration of action up to 12 weeks post-dose differed across cell types, being shorter in microglia than in neurons. Suppression in neurons was generally similar to, or more robust than, the bulk tissue. In macaques, PrP in CSF was lowered 40% in conjunction with PRNP knockdown across all cell types including neurons, arguing that a CSF biomarker readout is likely to reflect ASO pharmacodynamic effect in disease-relevant cells in a neuronal disorder. Our results provide a reference dataset for ASO activity distribution in the CNS and establish single nucleus sequencing as a method for evaluating cell type specificity of oligonucleotide therapeutics and other modalities.
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Single-nucleus atlases are not suitable for siRNAs, which only degrade cytoplasmic mRNA.
“While single-nucleus atlases have generated informative datasets for ASOs, this method is not suitable for siRNAs, which only degrade cytoplasmic mRNA [49].”
From Elucidating brain transport pathways and cell type-dependent gene silencing of a durable lipid–siRNA conjugate administered into cerebrospinal fluid (2025) · cites this paper as [49]
The Introduction and Discussion report that single-nucleus transcriptomics produced informative ASO target-engagement data. The Discussion’s limitations section says the method measured target engagement only in nuclei, but the paper does not establish that it is unsuitable for siRNAs or that siRNAs only degrade cytoplasmic mRNA. Page numbers were not provided in our copy. (LLM, conf=0.86)
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Sorted by citations
Sorets, A. G., Schwensen, K. R., Francini, N., Kjar, A., Abdulrahman, A. M., Shostak, A., Katdare, K. A., Schoch, K. M., Cowell, R. P., Park, J. C., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf600 · Cited by 6 · see citing works
“While single-nucleus atlases have generated informative datasets for ASOs, this method is not suitable for siRNAs, which only degrade cytoplasmic mRNA [ 49 ].”
Sorets, A., Schwensen, K., Francini, N., Kjar, A., Abdulrahman, A., Shostak, A., Katdare, K., Schoch, K., Cowell, R., Park, J., et al. (2024) · doi:10.1101/2024.06.09.598079 · Cited by 4 · see citing works
- Authors
- Mortberg, M. A., Gentile, J. E., Nadaf, N. M., Vanderburg, C., Simmons, S., Dubinsky, D., Slamin, A., Maldonado, S., Petersen, C. L., Jones, N., Kordasiewicz, H. B., Zhao, H. T., Vallabh, S. M., & Minikel, E. V.
- Affiliations
- Broad Institute (US)
- Ionis Pharmaceuticals (United States) (US)
- Corresponding author
- Vallabh, Sonia M
- Minikel, Eric Vallabh
- ORCID
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2023-05-16
- Volume
- 51
- Issue
- 14
- Pages
- 7109-7124
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC10415122
- OpenAlex
- W4376641156
- Cited by
- 54
- References
- 10
- Citations by year
- 2026: 16 · 2025: 13 · 2024: 20 · 2023: 5
- FWCI
- 4.81
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by)
- Funders
- Ono Pharma Foundation
- Ionis Pharmaceuticals
- National Institutes of Health (R21 TR003040, R01 NS125255)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Barrier Structure and Function Studies
- Keywords
- antisense oligonucleotides, cerebrospinal fluid, central nervous system, single-nucleus transcriptomics, cell type specificity, RNase H1, prion protein gene, MALAT1, prion protein, microglia, neurons, pharmacodynamics, cerebrospinal fluid biomarkers, oligonucleotide therapeutics, macaque, mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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