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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.
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http://dx.doi.org/10.1038/s41587-022-01517-6 | DOI Listing |
Radiol Adv
September 2024
Department of Radiology, Northwestern University and Northwestern Medicine, Chicago, IL, 60611, United States.
Background: In clinical practice, digital subtraction angiography (DSA) often suffers from misregistration artifact resulting from voluntary, respiratory, and cardiac motion during acquisition. Most prior efforts to register the background DSA mask to subsequent postcontrast images rely on key point registration using iterative optimization, which has limited real-time application.
Purpose: Leveraging state-of-the-art, unsupervised deep learning, we aim to develop a fast, deformable registration model to substantially reduce DSA misregistration in craniocervical angiography without compromising spatial resolution or introducing new artifacts.
Front Artif Intell
August 2025
School of Computation and Communication Science and Engineering, The Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania.
Computer vision has been identified as one of the solutions to bridge communication barriers between speech-impaired populations and those without impairment as most people are unaware of the sign language used by speech-impaired individuals. Numerous studies have been conducted to address this challenge. However, recognizing word signs, which are usually dynamic and involve more than one frame per sign, remains a challenge.
View Article and Find Full Text PDFiScience
September 2025
Department of Physical Geography and Ecosystem Science, Lund University, 223 62 Lund, Sweden.
Forest loss, fragmentation, and transformation negatively impact forest biodiversity and ecosystem functionality worldwide. Improving landscape intactness and connectivity through restoration is critical. Determining where to restore remains, however, a challenge.
View Article and Find Full Text PDFACS Electrochem
September 2025
Department of Chemistry, University of Warwick, Coventry CV4 7AL, United Kingdom.
The surface structure of an electrocatalyst plays a crucial role in determining the activity. As a model system, gold has been widely investigated as an electro-oxidation catalyst, although there has been much less research on the oxygen evolution reaction (OER) in the potential region of gold oxidation. Here, we combine voltammetric scanning electrochemical cell microscopy (SECCM) and electron backscatter diffraction (EBSD), at different spatial and angular resolutions, respectively, to correlate the local crystallographic structure of polycrystalline goldfocusing on grains close to (113), (011), (114), and (111) orientationswith the electrocatalytic behavior for the OER.
View Article and Find Full Text PDFJ Biomed Opt
September 2025
Fraunhofer Institute for Microelectronic Circuits and Systems IMS, Duisburg, Germany.
Significance: The spatial and temporal distribution of fluorophore fractions in biological and environmental systems contains valuable information about the interactions and dynamics of these systems. To access this information, fluorophore fractions are commonly determined by means of their fluorescence emission spectrum (ES) or lifetime (LT). Combining both dimensions in temporal-spectral multiplexed data enables more accurate fraction determination while requiring advanced and fast analysis methods to handle the increased data complexity and size.
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