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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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. |
format | Online Article Text |
id | pubmed-9213715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT stenbecklinnea enablingautomatedandreproduciblespatiallyresolvedtranscriptomicsatscale AT taborsaklinesfanny enablingautomatedandreproduciblespatiallyresolvedtranscriptomicsatscale AT giacomellostefania enablingautomatedandreproduciblespatiallyresolvedtranscriptomicsatscale |