Parallel measurement of transcriptomes and proteomes from same single cells using nanodroplet splitting

IF 15.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Nature Communications Pub Date : 2024-12-05 DOI:10.1038/s41467-024-54099-z
James M. Fulcher, Lye Meng Markillie, Hugh D. Mitchell, Sarah M. Williams, Kristin M. Engbrecht, David J. Degnan, Lisa M. Bramer, Ronald J. Moore, William B. Chrisler, Joshua Cantlon-Bruce, Johannes W. Bagnoli, Wei-Jun Qian, Anjali Seth, Ljiljana Paša-Tolić, Ying Zhu
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Abstract

Single-cell multiomics provides comprehensive insights into gene regulatory networks, cellular diversity, and temporal dynamics. Here, we introduce nanoSPLITS (nanodroplet SPlitting for Linked-multimodal Investigations of Trace Samples), an integrated platform that enables global profiling of the transcriptome and proteome from same single cells via RNA sequencing and mass spectrometry-based proteomics, respectively. Benchmarking of nanoSPLITS demonstrates high measurement precision with deep proteomic and transcriptomic profiling of single-cells. We apply nanoSPLITS to cyclin-dependent kinase 1 inhibited cells and found phospho-signaling events could be quantified alongside global protein and mRNA measurements, providing insights into cell cycle regulation. We extend nanoSPLITS to primary cells isolated from human pancreatic islets, introducing an efficient approach for facile identification of unknown cell types and their protein markers by mapping transcriptomic data to existing large-scale single-cell RNA sequencing reference databases. Accordingly, we establish nanoSPLITS as a multiomic technology incorporating global proteomics and anticipate the approach will be critical to furthering our understanding of biological systems.

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利用纳米液滴分裂技术平行测量来自同一单细胞的转录组和蛋白质组
单细胞多组学为基因调控网络、细胞多样性和时间动态提供了全面的见解。在这里,我们介绍了nanoSPLITS(纳米液滴分裂用于痕量样品的链接多模态调查),这是一个集成平台,可以通过RNA测序和基于质谱的蛋白质组学分别对来自同一单细胞的转录组和蛋白质组进行全局分析。nanoSPLITS的基准测试表明,单细胞的深度蛋白质组学和转录组学分析具有很高的测量精度。我们将nanoSPLITS应用于周期蛋白依赖性激酶1抑制的细胞,发现磷酸化信号事件可以与全局蛋白和mRNA测量一起量化,从而为细胞周期调节提供见解。我们将nanoSPLITS扩展到从人胰岛分离的原代细胞,通过将转录组学数据映射到现有的大规模单细胞RNA测序参考数据库,引入了一种高效的方法,可以轻松识别未知细胞类型及其蛋白质标记物。因此,我们建立了nanoSPLITS作为一种结合全球蛋白质组学的多组学技术,并预计该方法将对进一步我们对生物系统的理解至关重要。
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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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