Ye Fang, Zhang Shuang, Fu Yuting, Yang Lei, Zhang Guodong, Wu Yijun, Pan Jun, Chen Haide, Wang Xinru, Ma Lifeng, Niu Haofu, Jiang Mengmeng, Zhang Tingyue, Jia Danmei, Wang Jingjing, Wang Yongcheng, Han Xiaoping, Guo Guoji
Bone Marrow Transplantation Center of the First Affiliated Hospital, and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Liangzhu Laboratory, Zhejiang University, Hangzhou, Zhejiang, China.
Cell Discov. 2024 Mar 26;10(1):33. doi: 10.1038/s41421-023-00642-z.
Single cell chromatin accessibility profiling and transcriptome sequencing are the most widely used technologies for single-cell genomics. Here, we present Microwell-seq3, a high-throughput and facile platform for high-sensitivity single-nucleus chromatin accessibility or full-length transcriptome profiling. The method combines a preindexing strategy and a penetrable chip-in-a-tube for single nucleus loading and DNA amplification and therefore does not require specialized equipment. We used Microwell-seq3 to profile chromatin accessibility in more than 200,000 single nuclei and the full-length transcriptome in ~50,000 nuclei from multiple adult mouse tissues. Compared with the existing polyadenylated transcript capture methods, integrative analysis of cell type-specific regulatory elements and total RNA expression uncovered comprehensive cell type heterogeneity in the brain. Gene regulatory networks based on chromatin accessibility profiling provided an improved cell type communication model. Finally, we demonstrated that Microwell-seq3 can identify malignant cells and their specific regulons in spontaneous lung tumors of aged mice. We envision a broad application of Microwell-seq3 in many areas of research.
单细胞染色质可及性分析和转录组测序是单细胞基因组学中使用最广泛的技术。在此,我们介绍了Microwell-seq3,这是一个用于高灵敏度单核染色质可及性或全长转录组分析的高通量且简便的平台。该方法结合了预索引策略和用于单核加载及DNA扩增的可穿透管中芯片,因此不需要专门的设备。我们使用Microwell-seq3对来自多个成年小鼠组织的超过20万个单核的染色质可及性进行分析,并对约5万个细胞核的全长转录组进行分析。与现有的聚腺苷酸化转录本捕获方法相比,对细胞类型特异性调控元件和总RNA表达的综合分析揭示了大脑中全面的细胞类型异质性。基于染色质可及性分析的基因调控网络提供了一个改进的细胞类型通讯模型。最后,我们证明Microwell-seq3可以在老年小鼠的自发性肺肿瘤中识别恶性细胞及其特定的调控子。我们设想Microwell-seq3将在许多研究领域得到广泛应用。