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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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. |
format | Online Article Text |
id | pubmed-10024691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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