相关实验视频
Updated: Jan 29, 2026

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3' End Sequencing Library Preparation with A-seq2
Published on: October 10, 2017
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SCITO-seq2:超高通量单细胞转录组和表位组测序
Su-Hyeon Lee1, Bo-Yeong Jin2,3, Cho-Rong Lee4
1Department of Biomedical Sciences, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Genome biology
|January 28, 2026
概括
在超过10万个细胞中,SCITO-seq2通过结合RNA和蛋白质分析来推进单细胞多组学. 这种具有成本效益的平台通过识别免疫细胞特征来增强自身免疫疾病研究.
科学领域:
- 免疫学 免疫学 免疫学
- 基因组学就是基因组学.
- 蛋白质组学是指蛋白质组学.
背景情况:
- 单细胞多组技术对于理解复杂的生物系统至关重要.
- 现有的方法在可扩展性,成本效益和精确的分子形状匹配方面面临挑战.
研究的目的:
- 推出SCITO-seq2,这是一个改进的超高通量单细胞RNA和蛋白质分析平台.
- 为了证明SCITO-seq2在剖析自身免疫性疾病中免疫细胞异质性的实用性.
主要方法:
- SCITO-seq2集成了基于探针的RNA检测与使用共享池条形码的蛋白质分析.
- 该平台支持细胞散列,以实现高效的样本复杂化.
- 对来自自身免疫性疾病队列的10万多个细胞进行了分析.
主要成果:
- SCITO-seq2在一个大型细胞群中实现了对转录和表面蛋白质的可靠量化.
- 通过条形码策略,可以确保多重滴中的分子形状精确匹配.
- 该平台成功识别了自身免疫性疾病中的小免疫群和疾病特异性蛋白质特征.
结论:
- SCITO-seq2提供了一个可扩展,精简和具有成本效益的下一代单细胞多omics工作流.
- 这项技术可以更深入地了解自身免疫性疾病背后的细胞机制.
- SCITO-seq2有助于发现新的生物标志物和治疗点.
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