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哺乳动物NET-seq分析在全基因组范围内定义了新生RNA图谱及相关的RNA加工过程。

Mammalian NET-seq analysis defines nascent RNA profiles and associated RNA processing genome-wide.

作者信息

Nojima Takayuki, Gomes Tomás, Carmo-Fonseca Maria, Proudfoot Nicholas J

机构信息

Sir William Dunn School of Pathology, University of Oxford, Oxford, UK.

Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.

出版信息

Nat Protoc. 2016 Mar;11(3):413-28. doi: 10.1038/nprot.2016.012. Epub 2016 Feb 4.

Abstract

The transcription cycle of RNA polymerase II (Pol II) correlates with changes to the phosphorylation state of its large subunit C-terminal domain (CTD). We recently developed Native Elongation Transcript sequencing using mammalian cells (mNET-seq), which generates single-nucleotide-resolution genome-wide profiles of nascent RNA and co-transcriptional RNA processing that are associated with different CTD phosphorylation states. Here we provide a detailed protocol for mNET-seq. First, Pol II elongation complexes are isolated with specific phospho-CTD antibodies from chromatin solubilized by micrococcal nuclease digestion. Next, RNA derived from within the Pol II complex is size fractionated and Illumina sequenced. Using mNET-seq, we have previously shown that Pol II pauses at both ends of protein-coding genes but with different CTD phosphorylation patterns, and we have also detected phosphorylation at serine 5 (Ser5-P) CTD-specific splicing intermediates and Pol II accumulation over co-transcriptionally spliced exons. With moderate biochemical and bioinformatic skills, mNET-seq can be completed in ∼6 d, not including sequencing and data analysis.

摘要

RNA聚合酶II(Pol II)的转录循环与其大亚基C末端结构域(CTD)磷酸化状态的变化相关。我们最近开发了使用哺乳动物细胞的天然延伸转录本测序(mNET-seq),它能生成与不同CTD磷酸化状态相关的全基因组范围的单核苷酸分辨率新生RNA和共转录RNA加工图谱。在此,我们提供mNET-seq的详细方案。首先,用特异性磷酸化CTD抗体从经微球菌核酸酶消化溶解的染色质中分离Pol II延伸复合物。接下来,对Pol II复合物内的RNA进行大小分级并进行Illumina测序。使用mNET-seq,我们先前已表明Pol II在蛋白质编码基因的两端停顿,但具有不同的CTD磷酸化模式,并且我们还检测到丝氨酸5(Ser5-P)CTD特异性剪接中间体的磷酸化以及共转录剪接外显子上的Pol II积累。具备中等的生化和生物信息学技能,mNET-seq可以在约6天内完成,不包括测序和数据分析。

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