Tumor dissociation of highly viable cell suspensions for single-cell omic analyses in mouse models of breast cancer.
Tumor dissociation of highly viable cell suspensions for single-cell omic analyses in mouse models of breast cancer.
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DOI：
10.1016/j.xpro.2021.100841
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发表时间：
2021-12-17
期刊：
影响因子：
--
通讯作者：
Valdes-Mora F
中科院分区：
文献类型：
--
作者：
Rodriguez de la Fuente L;Law AMK;Gallego-Ortega D;Valdes-Mora F
为了获得可靠的单细胞转录组学和表观基因组学数据，需要高活细胞率的细胞制备。该方案描述了一种用于从小鼠乳腺肿瘤中消化和单细胞分离的技术，以获得约90%的活细胞，其随后可以在多种高通量单细胞“组学平台”中以无偏方式或在选择特定细胞群后进行处理。有关本方案使用和执行的完整详细信息，请参阅。方案产生的细胞悬液含有90%来自小鼠乳腺肿瘤的活细胞坏死和淋巴结可能会导致乳腺肿瘤中的细胞组成发生偏差单细胞多组工作流程需要高活力的细胞悬液基于抗体的细胞选择（MACS或FACS）是细胞选择的兼容方法需要高活细胞率的细胞制备才能获得可靠的单细胞转录组和表观基因组数据。该方案描述了一种用于从小鼠乳腺肿瘤中消化和单细胞分离的技术，以获得约90%的活细胞，其随后可以在多种高通量单细胞“组学平台”中以无偏方式或在选择特定细胞群后进行处理。
Cell preparation with a high rate of viable cells is required to obtain reliable single-cell transcriptomic and epigenomic data. This protocol describes a technique for digestion and single-cell isolation from mouse mammary tumors to achieve ∼90% of viable cells, which can be subsequently processed in a diverse array of high-throughput single-cell “omic platforms,” both in an unbiased manner or after selection of a specific cell population. For complete details on the use and execution of this protocol, please refer to. Protocol yields cell suspensions with 90% of live cells from mouse mammary tumors Necrosis and lymph nodes can bias the cell composition in breast tumors Single-cell multiomic workflows require highly viable cell suspensions Antibody-based cell selection (MACS or FACS) are compatible methods for cell selection Cell preparation with a high rate of viable cells is required to obtain reliable single-cell transcriptomic and epigenomic data. This protocol describes a technique for digestion and single-cell isolation from mouse mammary tumors to achieve ∼90% of viable cells, which can be subsequently processed in a diverse array of high-throughput single-cell “omic platforms,” both in an unbiased manner or after selection of a specific cell population.
影响因子：
6.1
作者：
Salomon, Robert;Kaczorowski, Dominik;Gallego-Ortega, David
通讯作者：
Gallego-Ortega, David
影响因子：
8.8
作者：
Valdes-Mora, Fatima;Salomon, Robert;Gallego-Ortega, David
通讯作者：
Gallego-Ortega, David