Bai Gali, Dhillon Namrita, Felton Colette, Meissner Brett, Saint-John Brandon, Shelansky Robert, Meyerson Elliot, Hrabeta-Robinson Eva, Hodjat Babak, Boeger Hinrich, Brooks Angela N
Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, United States.
Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, United States.
Nucleic Acids Res. 2025 Jul 19;53(14). doi: 10.1093/nar/gkaf671.
Studies of in vivo chromatin organization have relied on the accessibility of the underlying DNA to nucleases or methyltransferases, which is limited by their requirement for purified nuclei and enzymatic treatment. Here, we introduce a nanopore-based sequencing technique called small-molecule adduct sequencing (SMAdd-seq), where we profile chromatin accessibility by treating nuclei or intact cells with a small molecule, angelicin. Angelicin preferentially forms photoadducts with thymine bases in linker DNA, thereby labeling accessible DNA regions. By applying SMAdd-seq in Saccharomyces cerevisiae, we demonstrate that angelicin-modified DNA can be detected by its distinct nanopore current signals. To systematically identify angelicin modifications and analyze chromatin structure, we developed a neural network model, NEural network for mapping MOdifications in nanopore long-reads (NEMO). NEMO accurately called expected nucleosome occupancy patterns near transcription start sites at both bulk and single-molecule levels. We observe heterogeneity in chromatin structure and identify clusters of single-molecule reads with varying configurations at specific yeast loci. Furthermore, SMAdd-seq performs equivalently on purified yeast nuclei and intact cells, indicating the promise of this method for in vivo chromatin labeling on long single molecules to measure native chromatin dynamics and heterogeneity.
体内染色质组织的研究依赖于潜在DNA对核酸酶或甲基转移酶的可及性,而这受到对纯化细胞核和酶处理的需求的限制。在这里,我们介绍一种基于纳米孔的测序技术,称为小分子加合物测序(SMAdd-seq),我们通过用小分子当归素处理细胞核或完整细胞来分析染色质可及性。当归素优先与连接DNA中的胸腺嘧啶碱基形成光加合物,从而标记可及的DNA区域。通过在酿酒酵母中应用SMAdd-seq,我们证明当归素修饰的DNA可以通过其独特的纳米孔电流信号被检测到。为了系统地识别当归素修饰并分析染色质结构,我们开发了一种神经网络模型,即用于在纳米孔长读段中映射修饰的神经网络(NEMO)。NEMO在整体和单分子水平上都准确地识别了转录起始位点附近预期的核小体占据模式。我们观察到染色质结构的异质性,并在特定酵母基因座处识别出具有不同构型的单分子读段簇。此外,SMAdd-seq在纯化的酵母细胞核和完整细胞上表现相当,表明该方法有望用于在长单分子上进行体内染色质标记,以测量天然染色质动力学和异质性。