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Spatial transcriptomics for profiling the tropism of viral vectors in tissues

A barrier to advancing engineered adeno-associated viral vectors (AAVs) for precision access to cell subtypes is a lack of high-throughput, high-resolution assays to characterize in vivo transduction profiles. In this study, we developed an ultrasensitive, sequential fluorescence in situ hybridizati...

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Autores principales: Jang, Min J., Coughlin, Gerard M., Jackson, Cameron R., Chen, Xinhong, Chuapoco, Miguel R., Vendemiatti, Julia L., Wang, Alexander Z., Gradinaru, Viviana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10443732/
https://www.ncbi.nlm.nih.gov/pubmed/36702899
http://dx.doi.org/10.1038/s41587-022-01648-w
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author Jang, Min J.
Coughlin, Gerard M.
Jackson, Cameron R.
Chen, Xinhong
Chuapoco, Miguel R.
Vendemiatti, Julia L.
Wang, Alexander Z.
Gradinaru, Viviana
author_facet Jang, Min J.
Coughlin, Gerard M.
Jackson, Cameron R.
Chen, Xinhong
Chuapoco, Miguel R.
Vendemiatti, Julia L.
Wang, Alexander Z.
Gradinaru, Viviana
author_sort Jang, Min J.
collection PubMed
description A barrier to advancing engineered adeno-associated viral vectors (AAVs) for precision access to cell subtypes is a lack of high-throughput, high-resolution assays to characterize in vivo transduction profiles. In this study, we developed an ultrasensitive, sequential fluorescence in situ hybridization (USeqFISH) method for spatial transcriptomic profiling of endogenous and viral RNA with a short barcode in intact tissue volumes by integrating hydrogel-based tissue clearing, enhanced signal amplification and multiplexing using sequential labeling. Using USeqFISH, we investigated the transduction and cell subtype tropisms across mouse brain regions of six systemic AAVs, including AAV-PHP.AX, a new variant that transduces robustly and efficiently across neurons and astrocytes. Here we reveal distinct cell subtype biases of each AAV variant, including a bias of AAV-PHP.N toward excitatory neurons. USeqFISH also enables profiling of pooled regulatory cargos, as we show for a 13-variant pool of microRNA target sites in AAV genomes. Lastly, we demonstrate potential applications of USeqFISH for in situ AAV profiling and multimodal single-cell analysis in non-human primates.
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spelling pubmed-104437322023-09-14 Spatial transcriptomics for profiling the tropism of viral vectors in tissues Jang, Min J. Coughlin, Gerard M. Jackson, Cameron R. Chen, Xinhong Chuapoco, Miguel R. Vendemiatti, Julia L. Wang, Alexander Z. Gradinaru, Viviana Nat Biotechnol Article A barrier to advancing engineered adeno-associated viral vectors (AAVs) for precision access to cell subtypes is a lack of high-throughput, high-resolution assays to characterize in vivo transduction profiles. In this study, we developed an ultrasensitive, sequential fluorescence in situ hybridization (USeqFISH) method for spatial transcriptomic profiling of endogenous and viral RNA with a short barcode in intact tissue volumes by integrating hydrogel-based tissue clearing, enhanced signal amplification and multiplexing using sequential labeling. Using USeqFISH, we investigated the transduction and cell subtype tropisms across mouse brain regions of six systemic AAVs, including AAV-PHP.AX, a new variant that transduces robustly and efficiently across neurons and astrocytes. Here we reveal distinct cell subtype biases of each AAV variant, including a bias of AAV-PHP.N toward excitatory neurons. USeqFISH also enables profiling of pooled regulatory cargos, as we show for a 13-variant pool of microRNA target sites in AAV genomes. Lastly, we demonstrate potential applications of USeqFISH for in situ AAV profiling and multimodal single-cell analysis in non-human primates. Nature Publishing Group US 2023-01-26 2023 /pmc/articles/PMC10443732/ /pubmed/36702899 http://dx.doi.org/10.1038/s41587-022-01648-w Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Jang, Min J.
Coughlin, Gerard M.
Jackson, Cameron R.
Chen, Xinhong
Chuapoco, Miguel R.
Vendemiatti, Julia L.
Wang, Alexander Z.
Gradinaru, Viviana
Spatial transcriptomics for profiling the tropism of viral vectors in tissues
title Spatial transcriptomics for profiling the tropism of viral vectors in tissues
title_full Spatial transcriptomics for profiling the tropism of viral vectors in tissues
title_fullStr Spatial transcriptomics for profiling the tropism of viral vectors in tissues
title_full_unstemmed Spatial transcriptomics for profiling the tropism of viral vectors in tissues
title_short Spatial transcriptomics for profiling the tropism of viral vectors in tissues
title_sort spatial transcriptomics for profiling the tropism of viral vectors in tissues
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10443732/
https://www.ncbi.nlm.nih.gov/pubmed/36702899
http://dx.doi.org/10.1038/s41587-022-01648-w
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