生物
染色质
计算生物学
基因表达调控
基因表达谱
基因
增强子
清脆的
转录因子
基因表达
遗传学
作者
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
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2025-05-26
卷期号:22 (6): 1213-1225
被引量:20
标识
DOI:10.1038/s41592-025-02700-8
摘要
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.
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