nMOWChIP-seq: low-input genome-wide mapping of non-histone targets.
nMOWChIP-seq: low-input genome-wide mapping of non-histone targets.
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DOI：
10.1093/nargab/lqac030
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发表时间：
2022-06
影响因子：
4.6
通讯作者：
Lu C
中科院分区：
文献类型：
--
作者：
Liu Z;Naler LB;Zhu Y;Deng C;Zhang Q;Zhu B;Zhou Z;Sarma M;Murray A;Xie H;Lu C
基因组与各种功能蛋白之间相互作用的全基因组谱分析对于理解发育和疾病的调控过程至关重要。传统的检测方法需要大量的细胞，而组织样本的高质量数据很少。在这里，我们优化了低输入染色质免疫沉淀后测序（ChIP-seq）技术，用于在基因组尺度上分析RNA聚合酶II （Pol II）、转录因子（TF）和酶结合。新方法使用1,000-50,000个细胞产生高质量的结合谱。我们使用该方法检测了Pol II与两种tf （EGR1和MEF2C）在小鼠小脑和前额叶皮层的结合，发现它们的结合谱高度反映了两个大脑区域之间的功能差异。我们的分析揭示了将全基因组TF或Pol II谱与脑细胞的神经解剖学起源联系起来的潜力。
Genome-wide profiling of interactions between genome and various functional proteins is critical for understanding regulatory processes involved in development and diseases. Conventional assays require a large number of cells and high-quality data on tissue samples are scarce. Here we optimized a low-input chromatin immunoprecipitation followed by sequencing (ChIP-seq) technology for profiling RNA polymerase II (Pol II), transcription factor (TF), and enzyme binding at the genome scale. The new approach produces high-quality binding profiles using 1,000–50,000 cells. We used the approach to examine the binding of Pol II and two TFs (EGR1 and MEF2C) in cerebellum and prefrontal cortex of mouse brain and found that their binding profiles are highly reflective of the functional differences between the two brain regions. Our analysis reveals the potential for linking genome-wide TF or Pol II profiles with neuroanatomical origins of brain cells.
使用竞争性染色质免疫沉淀分析成骨细胞中的转录因子相互作用。
影响因子：
14.9
作者：
Roca, Hernan;Franceschi, Renny T.
通讯作者：
Franceschi, Renny T.
影响因子：
7.4
作者：
Deng C;Murphy TW;Zhang Q;Naler LB;Xu A;Lu C
通讯作者：
Lu C