Chromatin interactions are important for gene regulation and cellular specialization. Emerging evidence suggests many-body spatial interactions play important roles in condensing super-enhancer regions into a cohesive transcriptional apparatus. Chromosome conformation studies using Hi-C are limited to pairwise, population-averaged interactions; therefore unsuitable for direct assessment of many-body interactions. We describe a computational model, CHROMATIX, which reconstructs ensembles of single-cell chromatin structures by deconvolving Hi-C data and identifies significant many-body interactions. For a diverse set of highly active transcriptional loci with at least 2 super-enhancers, we detail the many-body functional landscape and show DNase accessibility, POLR2A binding, and decreased H3K27me3 are predictive of interaction-enriched regions.

中文翻译：

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CHROMATIX：计算去卷积单细胞转录活性位点中多体染色质相互作用的功能景观

染色质相互作用对于基因调控和细胞特化很重要。新的证据表明，多体空间相互作用在将超级增强子区域压缩成有凝聚力的转录装置方面发挥着重要作用。使用 Hi-C 进行的染色体构象研究仅限于成对、群体平均相互作用；因此不适合直接评估多体相互作用。我们描述了一种计算模型 CHROMATIX，它通过解卷积 Hi-C 数据来重建单细胞染色质结构的整体，并识别重要的多体相互作用。对于具有至少 2 个超级增强子的一组多样化的高活性转录位点，我们详细描述了多体功能景观，并显示 DNase 可及性、POLR2A 结合和 H3K27me3 减少是相互作用丰富区域的预测。