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Enabling automated and reproducible spatially resolved transcriptomics at scale

Spatial information of tissues is an essential component to reach a holistic overview of gene expression mechanisms. The sequencing-based Spatial transcriptomics approach allows to spatially barcode the whole transcriptome of tissue sections using microarray glass slides. However, manual preparation...

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Detalles Bibliográficos
Autores principales: Stenbeck, Linnea, Taborsak-Lines, Fanny, Giacomello, Stefania
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213715/
https://www.ncbi.nlm.nih.gov/pubmed/35756107
http://dx.doi.org/10.1016/j.heliyon.2022.e09651
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author Stenbeck, Linnea
Taborsak-Lines, Fanny
Giacomello, Stefania
author_facet Stenbeck, Linnea
Taborsak-Lines, Fanny
Giacomello, Stefania
author_sort Stenbeck, Linnea
collection PubMed
description Spatial information of tissues is an essential component to reach a holistic overview of gene expression mechanisms. The sequencing-based Spatial transcriptomics approach allows to spatially barcode the whole transcriptome of tissue sections using microarray glass slides. However, manual preparation of high-quality tissue sequencing libraries is time-consuming and subjected to technical variability. Here, we present an automated adaptation of the 10x Genomics Visium library construction on the widely used Agilent Bravo Liquid Handling Platform. Compared to the manual Visium library preparation, our automated approach reduces hands-on time by over 80% and provides higher throughput and robustness. Our automated Visium library preparation protocol provides a new strategy to standardize spatially resolved transcriptomics analysis of tissues at scale.
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spelling pubmed-92137152022-06-23 Enabling automated and reproducible spatially resolved transcriptomics at scale Stenbeck, Linnea Taborsak-Lines, Fanny Giacomello, Stefania Heliyon Research Article Spatial information of tissues is an essential component to reach a holistic overview of gene expression mechanisms. The sequencing-based Spatial transcriptomics approach allows to spatially barcode the whole transcriptome of tissue sections using microarray glass slides. However, manual preparation of high-quality tissue sequencing libraries is time-consuming and subjected to technical variability. Here, we present an automated adaptation of the 10x Genomics Visium library construction on the widely used Agilent Bravo Liquid Handling Platform. Compared to the manual Visium library preparation, our automated approach reduces hands-on time by over 80% and provides higher throughput and robustness. Our automated Visium library preparation protocol provides a new strategy to standardize spatially resolved transcriptomics analysis of tissues at scale. Elsevier 2022-06-11 /pmc/articles/PMC9213715/ /pubmed/35756107 http://dx.doi.org/10.1016/j.heliyon.2022.e09651 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Stenbeck, Linnea
Taborsak-Lines, Fanny
Giacomello, Stefania
Enabling automated and reproducible spatially resolved transcriptomics at scale
title Enabling automated and reproducible spatially resolved transcriptomics at scale
title_full Enabling automated and reproducible spatially resolved transcriptomics at scale
title_fullStr Enabling automated and reproducible spatially resolved transcriptomics at scale
title_full_unstemmed Enabling automated and reproducible spatially resolved transcriptomics at scale
title_short Enabling automated and reproducible spatially resolved transcriptomics at scale
title_sort enabling automated and reproducible spatially resolved transcriptomics at scale
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213715/
https://www.ncbi.nlm.nih.gov/pubmed/35756107
http://dx.doi.org/10.1016/j.heliyon.2022.e09651
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