用流式细胞仪有效检测 Hoechst 边群细胞。

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Jove-Journal of Visualized Experiments Pub Date : 2024-08-23 DOI:10.3791/67012
Fangfang Wang, Xinyu Zhai, Tingting Guo, Hengyi Xiao, Jingcao Huang
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引用次数: 0

摘要

通过 Hoechst 33342 染色鉴定侧群(SP)细胞,并使用流式细胞仪(FCM)进行分析。Hoechst SP 法是根据 ATP 结合盒(ABC)转运体的染料外流特性来分离干细胞的。该方法最初用于识别和分离造血干细胞(HSCs),但现在已发展成为主要用于识别和分离癌症干细胞(CSCs)。传统的 FCM 检测方法使用 355 纳米激光激发染料来检测 SP 细胞。通过这项研究,我们成功找到了染料激发的替代方法,可有效取代使用 355 纳米激光检测 SP 细胞的方法。这是通过使用高功率 375 纳米或 405 纳米激光实现的。这使我们能够提高检测 SP 细胞的选择性,而不是仅仅局限于 355 纳米激光流式细胞仪。
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Effective Detection of Hoechst Side Population Cells by Flow Cytometry.

The side population (SP) cells are identified through Hoechst 33342 staining and analyzed using flow cytometry (FCM). The Hoechst SP method is utilized for the isolation of stem cells based on the dye efflux properties of ATP-binding cassette (ABC) transporters. The method was initially employed for the identification and isolation of hematopoietic stem cells (HSCs), but it has now evolved to primarily focus on the identification and isolation of cancer stem cells (CSCs). The traditional detection method of FCM uses a 355 nm laser to excite the dye to detect SP cells. Through this study, we have successfully identified alternative approaches for dye excitation that can effectively replace the detection of SP cells using a 355 nm laser. This is achieved through the utilization of high-power 375 nm or 405 nm lasers. This allows us to exercise enhanced selectivity in the detection of SP cells rather than being solely limited to the 355 nm laser flow cytometry.

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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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