The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel.
Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel.
Nucleic Acids Res. 2022 Jun 10;50(10):e55. doi: 10.1093/nar/gkac048.
Spatiotemporal gene expression patterns are governed to a large extent by the activity of enhancer elements, which engage in physical contacts with their target genes. Identification of enhancer-promoter (EP) links that are functional only in a specific subset of cell types is a key challenge in understanding gene regulation. We introduce CT-FOCS (cell type FOCS), a statistical inference method that uses linear mixed effect models to infer EP links that show marked activity only in a single or a small subset of cell types out of a large panel of probed cell types. Analyzing 808 samples from FANTOM5, covering 472 cell lines, primary cells and tissues, CT-FOCS inferred such EP links more accurately than recent state-of-the-art methods. Furthermore, we show that strictly cell type-specific EP links are very uncommon in the human genome.
时空基因表达模式在很大程度上受增强子元件的活性控制,这些元件与它们的靶基因发生物理接触。鉴定仅在特定细胞类型亚群中具有功能的增强子-启动子 (EP) 连接是理解基因调控的关键挑战。我们引入了 CT-FOCS(细胞类型 FOCS),这是一种统计推断方法,它使用线性混合效应模型来推断仅在大样本细胞类型中的一个或一小部分细胞类型中表现出显著活性的 EP 连接。分析来自 FANTOM5 的 808 个样本,涵盖 472 个细胞系、原代细胞和组织,CT-FOCS 比最近的最先进方法更准确地推断出这些 EP 连接。此外,我们表明,在人类基因组中,严格的细胞类型特异性 EP 连接非常罕见。