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Real-time Analysis of Transcription Factor Binding Transcription Translation and Turnover to Display Global Events During Cellular Activation

机译:转录因子结合转录翻译和转换的实时分析以显示细胞激活过程中的全局事件

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摘要

Upon activation, cells rapidly change their functional programs and, thereby, their gene expression profile. Massive changes in gene expression occur, for example, during cellular differentiation, morphogenesis, and functional stimulation (such as activation of immune cells), or after exposure to drugs and other factors from the local environment. Depending on the stimulus and cell type, these changes occur rapidly and at any possible level of gene regulation. Displaying all molecular processes of a responding cell to a certain type of stimulus/drug is one of the hardest tasks in molecular biology. Here, we describe a protocol that enables the simultaneous analysis of multiple layers of gene regulation. We compare, in particular, transcription factor binding (Chromatin-immunoprecipitation-sequencing (ChIP-seq)), de novo transcription (4-thiouridine-sequencing (4sU-seq)), mRNA processing, and turnover as well as translation (ribosome profiling). By combining these methods, it is possible to display a detailed and genome-wide course of action.Sequencing newly transcribed RNA is especially recommended when analyzing rapidly adapting or changing systems, since this depicts the transcriptional activity of all genes during the time of 4sU exposure (irrespective of whether they are up- or downregulated). The combinatorial use of total RNA-seq and ribosome profiling additionally allows the calculation of RNA turnover and translation rates. Bioinformatic analysis of high-throughput sequencing results allows for many means for analysis and interpretation of the data. The generated data also enables tracking co-transcriptional and alternative splicing, just to mention a few possible outcomes.The combined approach described here can be applied for different model organisms or cell types, including primary cells. Furthermore, we provide detailed protocols for each method used, including quality controls, and discuss potential problems and pitfalls.
机译:激活后,细胞会迅速改变其功能程序,从而改变其基因表达谱。基因表达的大量变化发生在例如细胞分化,形态发生和功能刺激(例如免疫细胞激活)过程中,或暴露于局部环境中的药物和其他因素之后。根据刺激和细胞类型的不同,这些变化会迅速发生,并且发生在任何可能的基因调控水平。显示反应细胞对某种刺激/药物的所有分子过程是分子生物学中最困难的任务之一。在这里,我们描述了一种能够同时分析基因调控多层的协议。我们特别比较转录因子结合(染色质免疫沉淀测序(ChIP-seq)),从头转录(4-硫尿苷测序(4sU-seq)),mRNA加工,营业额以及翻译(核糖体谱分析) )。通过结合使用这些方法,可以显示详细的,全基因组的作用过程。在分析快速适应或变化的系统时,特别建议对新转录的RNA进行测序,因为它描述了4sU暴露期间所有基因的转录活性。 (无论它们是上调还是下调)。总RNA-seq和核糖体谱分析的组合使用还可以计算RNA转换和翻译速率。高通量测序结果的生物信息学分析提供了许多手段来分析和解释数据。生成的数据还可以跟踪共转录和替代剪接,仅提及一些可能的结果。此处描述的组合方法可以应用于不同的模型生物或细胞类型,包括原代细胞。此外,我们为使用的每种方法提供了详细的协议,包括质量控制,并讨论了潜在的问题和陷阱。

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