Department of Molecular Genetics, Weizmann Institute of Science, 234 Herzl st, Rehovot 7610001, Israel.
Nucleic Acids Res. 2024 Nov 11;52(20):12227-12243. doi: 10.1093/nar/gkae846.
DNA-binding domains (DBDs) within transcription factors (TFs) recognize short sequence motifs that are highly abundant in genomes. In vivo, TFs bind only a small subset of motif occurrences, which is often attributed to the cooperative binding of interacting TFs at proximal motifs. However, large-scale testing of this model is still lacking. Here, we describe a novel method allowing parallel measurement of TF binding to thousands of designed sequences within yeast cells and apply it to quantify the binding of dozens of TFs to libraries of regulatory regions containing clusters of binding motifs, systematically mutating all motif combinations. With few exceptions, TF occupancies were well explained by independent binding to individual motifs, with motif cooperation being of only limited effects. Our results challenge the general role of motif combinatorics in directing TF genomic binding and open new avenues for exploring the basis of protein-DNA interactions within cells.
转录因子 (TFs) 中的 DNA 结合结构域 (DBD) 识别基因组中高度丰富的短序列基序。在体内,TF 仅结合一小部分基序出现,这通常归因于相互作用的 TF 在近端基序处的协同结合。然而,对该模型的大规模测试仍然缺乏。在这里,我们描述了一种新的方法,允许在酵母细胞内同时测量数千个设计序列的 TF 结合,并将其应用于定量数十个 TF 结合到含有结合基序簇的调控区文库的情况,系统地突变所有基序组合。除了少数例外,TF 占有率很好地用单个基序的独立结合来解释,基序合作的影响有限。我们的结果挑战了基序组合在指导 TF 基因组结合中的一般作用,并为探索细胞内蛋白质-DNA 相互作用的基础开辟了新的途径。