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Protocol to dissociate and isolate wide-diversity single cells by density gradient centrifugation from human hepatoblastoma tissue
Single-cell transcriptome sequencing can characterize various cell types in human liver tissue and facilitate understanding of hepatoblastoma heterogeneity. Here, we present a protocol for isolating hepatocytes and immune cells from human hepatoblastoma samples with high viability. We describe steps...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511933/ https://www.ncbi.nlm.nih.gov/pubmed/37459235 http://dx.doi.org/10.1016/j.xpro.2023.102449 |
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author | Zhou, Xianchao Meng, Mei Wu, Yifan Gao, Rui Shan, Yuhua Gu, Song He, Jian |
author_facet | Zhou, Xianchao Meng, Mei Wu, Yifan Gao, Rui Shan, Yuhua Gu, Song He, Jian |
author_sort | Zhou, Xianchao |
collection | PubMed |
description | Single-cell transcriptome sequencing can characterize various cell types in human liver tissue and facilitate understanding of hepatoblastoma heterogeneity. Here, we present a protocol for isolating hepatocytes and immune cells from human hepatoblastoma samples with high viability. We describe steps for tissue processing, enzymatic digestion, Percoll density gradient separation, cell lysis, cell suspension quality control, and scRNA library construction. We then detail sequencing and data analysis. This protocol is applicable to preparing single-cell suspensions from other human liver tissue samples. |
format | Online Article Text |
id | pubmed-10511933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105119332023-09-22 Protocol to dissociate and isolate wide-diversity single cells by density gradient centrifugation from human hepatoblastoma tissue Zhou, Xianchao Meng, Mei Wu, Yifan Gao, Rui Shan, Yuhua Gu, Song He, Jian STAR Protoc Protocol Single-cell transcriptome sequencing can characterize various cell types in human liver tissue and facilitate understanding of hepatoblastoma heterogeneity. Here, we present a protocol for isolating hepatocytes and immune cells from human hepatoblastoma samples with high viability. We describe steps for tissue processing, enzymatic digestion, Percoll density gradient separation, cell lysis, cell suspension quality control, and scRNA library construction. We then detail sequencing and data analysis. This protocol is applicable to preparing single-cell suspensions from other human liver tissue samples. Elsevier 2023-07-17 /pmc/articles/PMC10511933/ /pubmed/37459235 http://dx.doi.org/10.1016/j.xpro.2023.102449 Text en © 2023 The Authors. 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 Zhou, Xianchao Meng, Mei Wu, Yifan Gao, Rui Shan, Yuhua Gu, Song He, Jian Protocol to dissociate and isolate wide-diversity single cells by density gradient centrifugation from human hepatoblastoma tissue |
title | Protocol to dissociate and isolate wide-diversity single cells by density gradient centrifugation from human hepatoblastoma tissue |
title_full | Protocol to dissociate and isolate wide-diversity single cells by density gradient centrifugation from human hepatoblastoma tissue |
title_fullStr | Protocol to dissociate and isolate wide-diversity single cells by density gradient centrifugation from human hepatoblastoma tissue |
title_full_unstemmed | Protocol to dissociate and isolate wide-diversity single cells by density gradient centrifugation from human hepatoblastoma tissue |
title_short | Protocol to dissociate and isolate wide-diversity single cells by density gradient centrifugation from human hepatoblastoma tissue |
title_sort | protocol to dissociate and isolate wide-diversity single cells by density gradient centrifugation from human hepatoblastoma tissue |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511933/ https://www.ncbi.nlm.nih.gov/pubmed/37459235 http://dx.doi.org/10.1016/j.xpro.2023.102449 |
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