免疫细胞周期id法准确鉴定RPE1细胞的细胞周期阶段

IF 1.1 Q3 BIOLOGY
Syon Reddy, Yu-Lin Chen, Aussie Suzuki
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引用次数: 0

摘要

准确识别细胞周期阶段对于研究增殖、分化和肿瘤发生等基本生物学过程至关重要。虽然流式细胞术仍然是这种分析中广泛使用的技术,但由于其基于群体的方法缺乏单细胞分辨率和对大样本量的要求,它受到了限制。这些限制强调需要替代或补充的方法,提供单细胞精度与兼容小规模应用。我们提出了免疫细胞周期id,这是一种基于免疫荧光的方法,利用内源性标记物的空间分布,如DNA、增殖细胞核抗原(PCNA)、着丝粒蛋白F (CENP-F)和着丝粒蛋白C (CENP-C),可靠地区分G1、早期S、晚期S、早期G2、晚期G2和所有有丝分裂亚阶段。该技术不依赖于精确的信号量化,并利用标准的免疫荧光协议与传统的实验室显微镜,确保广泛的可及性。重要的是,免疫细胞周期- id检测内源性蛋白而不需要基因修饰,使其易于适用于广泛的人类细胞系。除了单细胞分辨率之外,该方法还可以扩展到群体水平分析,类似于流式细胞术。凭借其精度,多功能性和易于实施性,ImmunoCellCycle-ID为跨不同实验平台的高分辨率细胞周期分析提供了强大的工具。•能够以单细胞分辨率高精度识别细胞周期阶段。•广泛适用于多种人类细胞系,无需基因修饰。•与标准荧光显微镜完全兼容;不需要专门的设备。•只需要最少的图像分析,不需要复杂的量化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accurate Identification of Cell Cycle Stages in RPE1 Cells Using the ImmunoCellCycle-ID Method.

Accurate identification of cell cycle stages is essential for investigating fundamental biological processes such as proliferation, differentiation, and tumorigenesis. While flow cytometry remains a widely used technique for such analyses, it is limited by its lack of single-cell resolution and its requirement for large sample sizes due to its population-based approach. These limitations underscore the need for alternative or complementary methods that offer single-cell precision with compatibility for small-scale applications. We present ImmunoCellCycle-ID, an immunofluorescence-based method that leverages the spatial distribution of endogenous markers, such as DNA, proliferating cell nuclear antigen (PCNA), centromere protein F (CENP-F), and centromere protein C (CENP-C), to reliably distinguish G1, early S, late S, early G2, late G2, and all mitotic sub-stages. This technique does not rely on precise signal quantification and utilizes standard immunofluorescence protocols alongside conventional laboratory microscopes, ensuring broad accessibility. Importantly, ImmunoCellCycle-ID detects endogenous proteins without the need for genetic modification, making it readily applicable to a wide range of human cell lines. Beyond its utility for single-cell resolution, the method can be scaled for population-level analyses, similar to flow cytometry. With its precision, versatility, and ease of implementation, ImmunoCellCycle-ID offers a powerful tool for high-resolution cell cycle profiling across diverse experimental platforms. Key features • Enables high-precision identification of cell cycle stages at single-cell resolution. • Broadly applicable to diverse human cell lines without genetic modification. • Fully compatible with standard fluorescence microscopy; no specialized equipment needed. • Requires only minimal image analysis and no complex quantification.

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CiteScore
1.50
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