Single-cell ultra-high-throughput multiplexed chromatin and RNA profiling reveals gene regulatory dynamics.

IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Sara Lobato-Moreno, Umut Yildiz, Annique Claringbould, Nila H Servaas, Evi P Vlachou, Christian Arnold, Hanke Gwendolyn Bauersachs, Víctor Campos-Fornés, Minyoung Kim, Ivan Berest, Karin D Prummel, Kyung-Min Noh, Mikael Marttinen, Judith B Zaugg
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引用次数: 0

Abstract

Enhancers and transcription factors (TFs) are crucial in regulating cellular processes. Current multiomic technologies to study these elements in gene regulatory mechanisms lack multiplexing capability and scalability. Here we present single-cell ultra-high-throughput multiplexed sequencing (SUM-seq) for co-assaying chromatin accessibility and gene expression in single nuclei. SUM-seq enables profiling hundreds of samples at the million cell scale and outperforms current high-throughput single-cell methods. We demonstrate the capability of SUM-seq to (1) resolve temporal gene regulation of macrophage M1 and M2 polarization to bridge TF regulatory networks and immune disease genetic variants, (2) define the regulatory landscape of primary T helper cell subsets and (3) dissect the effect of perturbing lineage TFs via arrayed CRISPR screens in spontaneously differentiating human induced pluripotent stem cells. SUM-seq offers a cost-effective, scalable solution for ultra-high-throughput single-cell multiomic sequencing, accelerating the unraveling of complex gene regulatory networks in cell differentiation, responses to perturbations and disease studies.

单细胞超高通量多重染色质和RNA分析揭示基因调控动力学。
增强子和转录因子在调节细胞过程中起着至关重要的作用。目前研究这些基因调控机制的多组学技术缺乏多路复用能力和可扩展性。在这里,我们提出了单细胞超高通量多重测序(SUM-seq),用于共同测定单核中染色质可及性和基因表达。SUM-seq能够在百万细胞规模上分析数百个样本,并且优于当前的高通量单细胞方法。我们证明了SUM-seq能够(1)解决巨噬细胞M1和M2极化的时间基因调控,以桥接TF调控网络和免疫疾病遗传变异;(2)定义原代辅助性T细胞亚群的调控格局;(3)通过排列的CRISPR筛选分析干扰谱系TF对自然分化的人诱导多能干细胞的影响。SUM-seq为超高通量单细胞多组测序提供了一种具有成本效益、可扩展的解决方案,加速揭示细胞分化、对扰动的反应和疾病研究中的复杂基因调控网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nature Methods
Nature Methods 生物-生化研究方法
CiteScore
58.70
自引率
1.70%
发文量
326
审稿时长
1 months
期刊介绍: Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.
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