Computational and Systems Biology, Genome Institute of Singapore, 60 Biopolis St., Singapore 138672, Singapore.
Nucleic Acids Res. 2013 May;41(9):4877-87. doi: 10.1093/nar/gkt210. Epub 2013 Apr 4.
Transcription factors that belong to the same family typically have similar, but not identical, binding specificities. As such, they can be expected to compete differentially for binding to different variants of their binding sites. Pho4 is a yeast factor whose nuclear concentration is up-regulated in low phosphate, while the related factor, Cbf1, is constitutively expressed. We constructed 16 GFP-reporter genes containing all palindromic variants of the motif NNCACGTGNN, and determined their activities at a range of phosphate concentrations. Pho4 affinity did not explain expression data well except under fully induced conditions. However, reporter activity was quantitatively well explained under all conditions by a model in which Cbf1 itself has modest activating activity, and Pho4 and Cbf1 compete with one another. Chromatin immunoprecipitation and computational analyses of natural Pho4 target genes, along with the activities of the reporter constructs, indicates that genes differ in their sensitivity to intermediate induction signals in part because of differences in their affinity for Cbf1. The induction sensitivity of both natural Pho4 target genes and reporter genes was well explained only by a model that assumes a role for Cbf1 in remodeling chromatin. Our analyses highlight the importance of taking into account the activities of related transcription factors in explaining system-wide gene expression data.
属于同一家族的转录因子通常具有相似但不完全相同的结合特异性。因此,可以预期它们在与不同变体的结合位点结合时会有不同的竞争。Pho4 是一种酵母因子,其核浓度在低磷酸盐条件下上调,而相关因子 Cbf1 则持续表达。我们构建了 16 个含有 motif NNCACGTGNN 所有回文变体的 GFP 报告基因,并在一系列磷酸盐浓度下测定了它们的活性。除了在完全诱导条件下,Pho4 亲和力不能很好地解释表达数据。然而,在所有条件下,通过一个模型可以很好地解释报告基因的活性,该模型表明 Cbf1 本身具有适度的激活活性,Pho4 和 Cbf1 相互竞争。染色质免疫沉淀和对天然 Pho4 靶基因的计算分析,以及报告基因构建体的活性表明,由于它们与 Cbf1 的亲和力不同,基因在其对中间诱导信号的敏感性方面存在差异。只有当假设 Cbf1 在重塑染色质方面发挥作用时,才能很好地解释天然 Pho4 靶基因和报告基因的诱导敏感性。我们的分析强调了在解释系统范围的基因表达数据时,考虑相关转录因子活性的重要性。