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一种从组织中分离人成纤维细胞用于分析的优化方法。

An Optimized Method to Isolate Human Fibroblasts from Tissue for Analysis.

作者信息

Waise Sara, Parker Rachel, Rose-Zerilli Matthew J J, Layfield David M, Wood Oliver, West Jonathan, Ottensmeier Christian H, Thomas Gareth J, Hanley Christopher J

机构信息

Cancer Sciences Unit, University of Southampton, UK.

Institute for Life Sciences, University of Southampton, UK.

出版信息

Bio Protoc. 2019 Dec 5;9(23):e3440. doi: 10.21769/BioProtoc.3440.

DOI:10.21769/BioProtoc.3440
PMID:33654935
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7853986/
Abstract

Despite their involvement in many physiological and pathological processes, fibroblasts remain a poorly-characterized cell type. Analysis of primary fibroblasts while maintaining their phenotype is challenging: standard methods for fibroblast isolation require cell culture , which is known to alter phenotypes. Previously-described protocols for the dissociation of primary tissues fail to extract sufficient numbers of fibroblasts, instead largely yielding immune cells. Here, we describe an optimized method for generating a fibroblast-enriched single-cell suspension from human tissues using combined mechanical and enzymatic dissociation. This allows analysis of fibroblasts without the need for culture .

摘要

尽管成纤维细胞参与了许多生理和病理过程,但它们仍然是一种特征尚不明确的细胞类型。在维持原代表型的同时对原代成纤维细胞进行分析具有挑战性:成纤维细胞分离的标准方法需要细胞培养,而众所周知,细胞培养会改变细胞表型。先前描述的原代组织解离方案无法提取足够数量的成纤维细胞,反而主要产生免疫细胞。在这里,我们描述了一种优化的方法,使用机械和酶解相结合的方式从人类组织中生成富含成纤维细胞的单细胞悬液。这使得无需培养即可对成纤维细胞进行分析。

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本文引用的文献

1
An optimised tissue disaggregation and data processing pipeline for characterising fibroblast phenotypes using single-cell RNA sequencing.优化的组织解离和数据处理流程,用于使用单细胞 RNA 测序对成纤维细胞表型进行特征分析。
Sci Rep. 2019 Jul 3;9(1):9580. doi: 10.1038/s41598-019-45842-4.
2
Phenotype molding of stromal cells in the lung tumor microenvironment.肺肿瘤微环境中基质细胞的表型塑造。
Nat Med. 2018 Aug;24(8):1277-1289. doi: 10.1038/s41591-018-0096-5. Epub 2018 Jul 9.
3
Cancer associated fibroblasts: An essential role in the tumor microenvironment.癌症相关成纤维细胞:在肿瘤微环境中的重要作用。
Oncol Lett. 2017 Sep;14(3):2611-2620. doi: 10.3892/ol.2017.6497. Epub 2017 Jun 30.
4
Targeting the Myofibroblastic Cancer-Associated Fibroblast Phenotype Through Inhibition of NOX4.通过抑制NOX4靶向肌成纤维细胞癌相关成纤维细胞表型
J Natl Cancer Inst. 2018 Jan 1;110(1):109-20. doi: 10.1093/jnci/djx121.
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Tissue-resident memory features are linked to the magnitude of cytotoxic T cell responses in human lung cancer.组织驻留记忆特征与人类肺癌中细胞毒性T细胞反应的强度相关。
Nat Immunol. 2017 Aug;18(8):940-950. doi: 10.1038/ni.3775. Epub 2017 Jun 19.
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