基于多色编码的多重复合,空间分辨成像显示单细胞RNA表观遗传修饰异质性异质性
Dongsheng Mao1, Xiaochen Tang2, Runchi Zhang1
1Shanghai Tenth People's Hospital of Tongji University, Shanghai, PR China.
Nature communications
|January 22, 2025
概括
研究人员开发了一种新的成像工具,即PRoximity Exchange-assisted Encoding of Multichrome (PREEM),用于映射单细胞中的RNA表观遗传修饰. 这种方法揭示了N6-甲基氨酸模式的细胞对细胞的变异性,增强了我们对基因表达的理解.
科学领域:
- 分子生物学分子生物学
- 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
- 细胞生物学 细胞生物学
背景情况:
- 单细胞分析对于理解细胞异质性至关重要.
- 表观遗传修饰,如RNA N6-甲基氨酸 (m6A),在基因表达和细胞功能中发挥关键作用.
- 现有的成像技术在单细胞水平上同时解决多个表观遗传修饰方面存在局限性.
研究的目的:
- 开发一种用于单细胞RNA表观遗传修饰的多重化,空间分辨成像的新方法.
- 为了在单个细胞内以单个分子分辨率绘制多个特定位点的RNA m6A修饰的映射.
- 研究RNA表观遗传修饰的异质性及其对药物治疗的反应.
主要方法:
- 开发了一种使用多色编码和"AND"布尔逻辑识别的策略,称为PRoximity Exchange辅助多色编码 (PREEM).
- 在单细胞中实现 RNA N6-甲基氨酸 (m6A) 修饰的多重成像 PREEM.
- 利用循环成像与尾巴DNA自组装来证明可扩展性和适应性.
主要成果:
- 成功地在单细胞中以单分子分辨率绘制了多个位点特定RNA m6A修饰的表达和核分布.
- 揭示了个体细胞间RNA表观遗传修饰的以前未知的异质性.
- 在使用各种药物治疗后,这些修饰模式的变化已被证明.
结论:
- PREEM是一个创新的工具,扩大了单细胞表观遗传学研究的能力.
- 能够对多个表观遗传点进行联合分析,克服成像通道的限制.
- 增强对表观遗传修饰细胞对细胞变异性的理解,改善细胞功能的探索.
相关概念视频
02:34DNA Microarrays
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
03:21RNA-seq
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...