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Spatial transcriptomics using multiplexed deterministic barcoding in tissue

Spatially resolved transcriptomics of tissue sections enables advances in fundamental and applied biomedical research. Here, we present Multiplexed Deterministic Barcoding in Tissue (xDBiT) to acquire spatially resolved transcriptomes of nine tissue sections in parallel. New microfluidic chips were...

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Autores principales: Wirth, Johannes, Huber, Nina, Yin, Kelvin, Brood, Sophie, Chang, Simon, Martinez-Jimenez, Celia P., Meier, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024691/
https://www.ncbi.nlm.nih.gov/pubmed/36934108
http://dx.doi.org/10.1038/s41467-023-37111-w
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author Wirth, Johannes
Huber, Nina
Yin, Kelvin
Brood, Sophie
Chang, Simon
Martinez-Jimenez, Celia P.
Meier, Matthias
author_facet Wirth, Johannes
Huber, Nina
Yin, Kelvin
Brood, Sophie
Chang, Simon
Martinez-Jimenez, Celia P.
Meier, Matthias
author_sort Wirth, Johannes
collection PubMed
description Spatially resolved transcriptomics of tissue sections enables advances in fundamental and applied biomedical research. Here, we present Multiplexed Deterministic Barcoding in Tissue (xDBiT) to acquire spatially resolved transcriptomes of nine tissue sections in parallel. New microfluidic chips were developed to spatially encode mRNAs over a total tissue area of 1.17 cm(2) with a 50 µm resolution. Optimization of the biochemical protocol increased read and gene counts per spot by one order of magnitude compared to previous reports. Furthermore, the introduction of alignment markers allowed seamless registration of images and spatial transcriptomic spots. Together with technological advances, we provide an open-source computational pipeline to prepare raw sequencing data for downstream analysis. The functionality of xDBiT was demonstrated by acquiring 16 spatially resolved transcriptomic datasets from five different murine organs, including the cerebellum, liver, kidney, spleen, and heart. Factor analysis and deconvolution of spatial transcriptomes allowed for in-depth characterization of the murine kidney.
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spelling pubmed-100246912023-03-20 Spatial transcriptomics using multiplexed deterministic barcoding in tissue Wirth, Johannes Huber, Nina Yin, Kelvin Brood, Sophie Chang, Simon Martinez-Jimenez, Celia P. Meier, Matthias Nat Commun Article Spatially resolved transcriptomics of tissue sections enables advances in fundamental and applied biomedical research. Here, we present Multiplexed Deterministic Barcoding in Tissue (xDBiT) to acquire spatially resolved transcriptomes of nine tissue sections in parallel. New microfluidic chips were developed to spatially encode mRNAs over a total tissue area of 1.17 cm(2) with a 50 µm resolution. Optimization of the biochemical protocol increased read and gene counts per spot by one order of magnitude compared to previous reports. Furthermore, the introduction of alignment markers allowed seamless registration of images and spatial transcriptomic spots. Together with technological advances, we provide an open-source computational pipeline to prepare raw sequencing data for downstream analysis. The functionality of xDBiT was demonstrated by acquiring 16 spatially resolved transcriptomic datasets from five different murine organs, including the cerebellum, liver, kidney, spleen, and heart. Factor analysis and deconvolution of spatial transcriptomes allowed for in-depth characterization of the murine kidney. Nature Publishing Group UK 2023-03-18 /pmc/articles/PMC10024691/ /pubmed/36934108 http://dx.doi.org/10.1038/s41467-023-37111-w Text en © The Author(s) 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
Wirth, Johannes
Huber, Nina
Yin, Kelvin
Brood, Sophie
Chang, Simon
Martinez-Jimenez, Celia P.
Meier, Matthias
Spatial transcriptomics using multiplexed deterministic barcoding in tissue
title Spatial transcriptomics using multiplexed deterministic barcoding in tissue
title_full Spatial transcriptomics using multiplexed deterministic barcoding in tissue
title_fullStr Spatial transcriptomics using multiplexed deterministic barcoding in tissue
title_full_unstemmed Spatial transcriptomics using multiplexed deterministic barcoding in tissue
title_short Spatial transcriptomics using multiplexed deterministic barcoding in tissue
title_sort spatial transcriptomics using multiplexed deterministic barcoding in tissue
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024691/
https://www.ncbi.nlm.nih.gov/pubmed/36934108
http://dx.doi.org/10.1038/s41467-023-37111-w
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