2022
DOI: 10.1101/2022.04.20.488964
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In situ polyadenylation enables spatial mapping of the total transcriptome

Abstract: 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 apply this Spatial Total RNA-Sequencing (STRS) approach to study skeletal muscle regeneration and viral-induced myocarditis. Our analyses reveal th… Show more

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Cited by 4 publications
(2 citation statements)
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“…In particular, newly formed multinucleated muscle fibers are highly transcriptionally active and may well contribute significantly to the pro-regenerative transitional ECM that instructs MuSC function following skeletal muscle injury. Emerging technologies such as spatial RNA-sequencing, multiplexed proteomics, and single-cell protein analysis, will ideally further advance our understanding of the complex niche regulation of MuSCs ( Pham et al, 2021 ; McKellar et al, 2022 ; Wang et al, 2022 ). Importantly, compared to other relatively static stem cell niches, the microenvironment of MuSCs is highly dynamic and depends on the respective stage of muscle regeneration.…”
Section: Discussionmentioning
confidence: 99%
“…In particular, newly formed multinucleated muscle fibers are highly transcriptionally active and may well contribute significantly to the pro-regenerative transitional ECM that instructs MuSC function following skeletal muscle injury. Emerging technologies such as spatial RNA-sequencing, multiplexed proteomics, and single-cell protein analysis, will ideally further advance our understanding of the complex niche regulation of MuSCs ( Pham et al, 2021 ; McKellar et al, 2022 ; Wang et al, 2022 ). Importantly, compared to other relatively static stem cell niches, the microenvironment of MuSCs is highly dynamic and depends on the respective stage of muscle regeneration.…”
Section: Discussionmentioning
confidence: 99%
“…Gene expression quantification of the Visium dataset was done using kallisto (0.48.0) and bustools (0.41.0) as previously described 62 . Cells were filtered with DropletUtils::emptyDrops and DropletUtils::defaultDrops as described.…”
Section: Spatial Transcriptomics Data Analysismentioning
confidence: 99%