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Processing and cryopreservation of human ureter tissues for single-cell and spatial transcriptomics assays
Characterizing the cellular heterogeneity of human ureter tissues using single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics provides a detailed atlas of cell types, signaling networks, and potential cell-cell cross talk underlying developmental and regenerative pathways. We describe a...
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/PMC9668730/ https://www.ncbi.nlm.nih.gov/pubmed/36595885 http://dx.doi.org/10.1016/j.xpro.2022.101854 |
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author | Fink, Emily E. Sona, Surbhi Lee, Byron H. Ting, Angela H. |
author_facet | Fink, Emily E. Sona, Surbhi Lee, Byron H. Ting, Angela H. |
author_sort | Fink, Emily E. |
collection | PubMed |
description | Characterizing the cellular heterogeneity of human ureter tissues using single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics provides a detailed atlas of cell types, signaling networks, and potential cell-cell cross talk underlying developmental and regenerative pathways. We describe an optimized protocol for generating, cryopreserving, and thawing single-cell suspensions from ureter tissues isolated post-cystectomy for scRNA-seq. In addition, we describe an optimized protocol for cryopreserving human ureter tissues for 10x Genomics Visium spatial gene expression platform. For complete details on the use and execution of this protocol, please refer to Fink et al. (2022).(1) |
format | Online Article Text |
id | pubmed-9668730 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96687302022-11-18 Processing and cryopreservation of human ureter tissues for single-cell and spatial transcriptomics assays Fink, Emily E. Sona, Surbhi Lee, Byron H. Ting, Angela H. STAR Protoc Protocol Characterizing the cellular heterogeneity of human ureter tissues using single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics provides a detailed atlas of cell types, signaling networks, and potential cell-cell cross talk underlying developmental and regenerative pathways. We describe an optimized protocol for generating, cryopreserving, and thawing single-cell suspensions from ureter tissues isolated post-cystectomy for scRNA-seq. In addition, we describe an optimized protocol for cryopreserving human ureter tissues for 10x Genomics Visium spatial gene expression platform. For complete details on the use and execution of this protocol, please refer to Fink et al. (2022).(1) Elsevier 2022-11-12 /pmc/articles/PMC9668730/ /pubmed/36595885 http://dx.doi.org/10.1016/j.xpro.2022.101854 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 | Protocol Fink, Emily E. Sona, Surbhi Lee, Byron H. Ting, Angela H. Processing and cryopreservation of human ureter tissues for single-cell and spatial transcriptomics assays |
title | Processing and cryopreservation of human ureter tissues for single-cell and spatial transcriptomics assays |
title_full | Processing and cryopreservation of human ureter tissues for single-cell and spatial transcriptomics assays |
title_fullStr | Processing and cryopreservation of human ureter tissues for single-cell and spatial transcriptomics assays |
title_full_unstemmed | Processing and cryopreservation of human ureter tissues for single-cell and spatial transcriptomics assays |
title_short | Processing and cryopreservation of human ureter tissues for single-cell and spatial transcriptomics assays |
title_sort | processing and cryopreservation of human ureter tissues for single-cell and spatial transcriptomics assays |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668730/ https://www.ncbi.nlm.nih.gov/pubmed/36595885 http://dx.doi.org/10.1016/j.xpro.2022.101854 |
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