Cumbo Fabio, Vergni Davide, Santoni Daniele
Institute for Systems Analysis and Computer Science 'Antonio Ruberti', National Research Council of Italy, 00185 Rome, Italy.
Department of Engineering, Third University of Rome, 00146 Rome, Italy.
DNA Res. 2018 Feb 1;25(1):103-112. doi: 10.1093/dnares/dsx041.
Proteins are the core and the engine of every process in cells thus the study of mechanisms that drive the regulation of protein expression, is essential. Transcription factors play a central role in this extremely complex task and they synergically co-operate in order to provide a fine tuning of protein expressions. In the present study, we designed a mathematically well-founded procedure to investigate the mutual positioning of transcription factors binding sites related to a given couple of transcription factors in order to evaluate the possible association between them. We obtained a list of highly related transcription factors couples, whose binding site occurrences significantly group together for a given set of gene promoters, identifying the biological contexts in which the couples are involved in and the processes they should contribute to regulate.
蛋白质是细胞内每个过程的核心和引擎，因此研究驱动蛋白质表达调控的机制至关重要。转录因子在这项极其复杂的任务中发挥着核心作用，它们协同合作以实现蛋白质表达的精细调控。在本研究中，我们设计了一个数学基础扎实的程序，来研究与给定的一对转录因子相关的转录因子结合位点的相互定位，以评估它们之间可能的关联。我们获得了一组高度相关的转录因子对列表，对于给定的一组基因启动子，它们的结合位点出现情况显著聚集在一起，从而确定了这些转录因子对所涉及的生物学背景以及它们应有助于调控的过程。
