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Spatial mapping of the total transcriptome by in situ polyadenylation
Spatial transcriptomics reveals the spatial context of gene expression, but current methods are limited to assaying polyadenylated (A-tailed) RNA transcripts. Here we demonstrate that enzymatic in situ polyadenylation of RNA enables detection of the full spectrum of RNAs, expanding the scope of sequ...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110464/ https://www.ncbi.nlm.nih.gov/pubmed/36329320 http://dx.doi.org/10.1038/s41587-022-01517-6 |
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author | McKellar, David W. Mantri, Madhav Hinchman, Meleana M. Parker, John S. L. Sethupathy, Praveen Cosgrove, Benjamin D. De Vlaminck, Iwijn |
author_facet | McKellar, David W. Mantri, Madhav Hinchman, Meleana M. Parker, John S. L. Sethupathy, Praveen Cosgrove, Benjamin D. De Vlaminck, Iwijn |
author_sort | McKellar, David W. |
collection | PubMed |
description | Spatial transcriptomics reveals the spatial context of gene expression, but current methods are limited to assaying polyadenylated (A-tailed) RNA transcripts. Here we demonstrate that enzymatic in situ polyadenylation of RNA enables detection of the full spectrum of RNAs, expanding the scope of sequencing-based spatial transcriptomics to the total transcriptome. We demonstrate that our spatial total RNA-sequencing (STRS) approach captures coding RNAs, noncoding RNAs and viral RNAs. We apply STRS to study skeletal muscle regeneration and viral-induced myocarditis. Our analyses reveal the spatial patterns of noncoding RNA expression with near-cellular resolution, identify spatially defined expression of noncoding transcripts in skeletal muscle regeneration and highlight host transcriptional responses associated with local viral RNA abundance. STRS requires adding only one step to the widely used Visium spatial total RNA-sequencing protocol from 10x Genomics, and thus could be easily adopted to enable new insights into spatial gene regulation and biology. |
format | Online Article Text |
id | pubmed-10110464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-101104642023-04-19 Spatial mapping of the total transcriptome by in situ polyadenylation McKellar, David W. Mantri, Madhav Hinchman, Meleana M. Parker, John S. L. Sethupathy, Praveen Cosgrove, Benjamin D. De Vlaminck, Iwijn Nat Biotechnol Article Spatial transcriptomics reveals the spatial context of gene expression, but current methods are limited to assaying polyadenylated (A-tailed) RNA transcripts. Here we demonstrate that enzymatic in situ polyadenylation of RNA enables detection of the full spectrum of RNAs, expanding the scope of sequencing-based spatial transcriptomics to the total transcriptome. We demonstrate that our spatial total RNA-sequencing (STRS) approach captures coding RNAs, noncoding RNAs and viral RNAs. We apply STRS to study skeletal muscle regeneration and viral-induced myocarditis. Our analyses reveal the spatial patterns of noncoding RNA expression with near-cellular resolution, identify spatially defined expression of noncoding transcripts in skeletal muscle regeneration and highlight host transcriptional responses associated with local viral RNA abundance. STRS requires adding only one step to the widely used Visium spatial total RNA-sequencing protocol from 10x Genomics, and thus could be easily adopted to enable new insights into spatial gene regulation and biology. Nature Publishing Group US 2022-11-03 2023 /pmc/articles/PMC10110464/ /pubmed/36329320 http://dx.doi.org/10.1038/s41587-022-01517-6 Text en © The Author(s) 2022 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 McKellar, David W. Mantri, Madhav Hinchman, Meleana M. Parker, John S. L. Sethupathy, Praveen Cosgrove, Benjamin D. De Vlaminck, Iwijn Spatial mapping of the total transcriptome by in situ polyadenylation |
title | Spatial mapping of the total transcriptome by in situ polyadenylation |
title_full | Spatial mapping of the total transcriptome by in situ polyadenylation |
title_fullStr | Spatial mapping of the total transcriptome by in situ polyadenylation |
title_full_unstemmed | Spatial mapping of the total transcriptome by in situ polyadenylation |
title_short | Spatial mapping of the total transcriptome by in situ polyadenylation |
title_sort | spatial mapping of the total transcriptome by in situ polyadenylation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110464/ https://www.ncbi.nlm.nih.gov/pubmed/36329320 http://dx.doi.org/10.1038/s41587-022-01517-6 |
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