Pavesi Giulio
Department of Biosciences, University of Milan, Via Celoria 26, 20133, Milan, Italy.
Adv Biochem Eng Biotechnol. 2017;160:1-14. doi: 10.1007/10_2016_43.
The first step in the definition of transcriptional regulatory networks is to establish correct relationships between transcription factors (TFs) and their target genes, together with the effect of their regulatory activity (activator or repressor). Fundamental advances in this direction have been made possible by the introduction of experimental techniques such as Chromatin Immunoprecipitation, which, coupled with next-generation sequencing technologies (ChIP-Seq), permit the genome-wide identification of TF binding sites. This chapter provides a survey on how data of this kind are to be processed and integrated with expression and other types of data to infer transcriptional regulatory rules and codes.
定义转录调控网络的第一步是建立转录因子（TFs）与其靶基因之间的正确关系，以及它们调控活性（激活剂或抑制剂）的作用。通过引入染色质免疫沉淀等实验技术，在这个方向上取得了根本性进展，该技术与下一代测序技术（ChIP-Seq）相结合，能够在全基因组范围内识别TF结合位点。本章综述了如何处理这类数据，并将其与表达数据和其他类型的数据整合，以推断转录调控规则和编码。
