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DNA mismatches reveal conformational penalties in protein-DNA recognition

机译:DNA不匹配揭示了蛋白质DNA识别中的构象性惩罚

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摘要

Transcription factors recognize specific genomic sequences to regulate complex gene-expression programs. Although it is well-established that transcription factors bind to specific DNA sequences using a combination of base readout and shape recognition, some fundamental aspects of protein-DNA binding remain poorly understood~(1,2). Many DNA-binding proteins induce changes in the structure of the DNA outside the intrinsic B-DNA envelope. However, how the energetic cost that is associated with distorting the DNA contributes to recognition has proven difficult to study, because the distorted DNA exists in low abundance in the unbound ensemble~(3-9). Here we use a high-throughput assay that we term SaMBA (saturation mismatch-binding assay) to investigate the role of DNA conformational penalties in transcription factor-DNA recognition. In SaMBA, mismatched base pairs are introduced to pre-induce structural distortions in the DNA that are much larger than those induced by changes in the Watson-Crick sequence. Notably, approximately 10% of mismatches increased transcription factor binding, and for each of the 22 transcription factors that were examined, at least one mismatch was found that increased the binding affinity. Mismatches also converted non-specific sites into high-affinity sites, and high-affinity sites into 'super sites' that exhibit stronger affinity than any known canonical binding site. Determination of high-resolution X-ray structures, combined with nuclear magnetic resonance measurements and structural analyses, showed that many of the DNA mismatches that increase binding induce distortions that are similar to those induced by protein binding-thus prepaying some of the energetic cost incurred from deforming the DNA. Our work indicates that conformational penalties are a major determinant of protein-DNA recognition, and reveals mechanisms by which mismatches can recruit transcription factors and thus modulate replication and repair activities in the cell~(10,11).
机译:转录因子识别特定的基因组序列以调节复杂的基因表达程序。虽然众所周知,转录因子使用基本读出和形状识别的组合结合特异性DNA序列,但蛋白质-DNA结合的一些基本方面仍然明确〜(1,2)。许多DNA结合蛋白诱导内在B-DNA包络外部的DNA结构的变化。然而,与扭曲DNA相关的能量成本如何难以研究,因为扭曲的DNA存在于未结合的集合中的低丰度〜(3-9)。在这里,我们使用高通量测定,即我们术语SAMBA(饱和失配染区段)来研究DNA构象性惩罚在转录因子-DNA识别中的作用。在Samba中,引入不匹配的碱基对以预先诱导DNA的结构扭曲,这些DNA远大于由Watson-Cric序列中的变化诱导的DNA。值得注意的是,大约10%的不匹配增加了转录因子结合,并且对于检查的22种转录因子中的每一个,发现至少一个不匹配增加,增加了结合亲和力。不匹配还将非特异性位点转化为高亲和力地点,以及高亲和力地点进入“超级位点”,其表现出比任何已知的规范结合位点更强的亲和力。确定高分辨率X射线结构,结合核磁共振测量和结构分析,表明许多DNA不匹配,增加了与蛋白质结合诱导的扭曲相似的扭曲 - 从而预先呈现的一些能量成本从DNA变形。我们的作品表明,构象性惩罚是蛋白质-DNA识别的主要决定因素,并揭示了不匹配可以募集转录因子的机制,从而调节细胞中的复制和修复活性〜(10,11)。

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  • 来源
    《Nature 》 |2020年第7833期| 291-296| 共6页
  • 作者单位

    Center for Genomic and Computational Biology Duke University School of Medicine|Department of Biostatistics and Bioinformatics Duke University School of Medicine;

    Department of Chemistry Duke University;

    Department of Biochemistry Duke University School of Medicine;

    Center for Genomic and Computational Biology Duke University School of Medicine|Program in Computational Biology and Bioinformatics Duke University School of Medicine;

    Department of Biology Technion-Israel Institute of Technology;

    Department of Chemistry Georgia State University;

    Department of Biochemistry Carver College of Medicine University of Iowa|Holden Comprehensive Cancer Center University of Iowa;

    Department of Biochemistry Duke University School of Medicine;

    Center for Genomic and Computational Biology Duke University School of Medicine|Program in Genetics and Genomics Duke University School of Medicine;

    Department of Biochemistry Carver College of Medicine University of Iowa|Holden Comprehensive Cancer Center University of Iowa;

    Department of Chemistry Georgia State University|Center for Diagnostics and Therapeutics Georgia State University;

    Department of Biology Technion-Israel Institute of Technology;

    Department of Biochemistry Duke University School of Medicine;

    Department of Chemistry Duke University|Department of Biochemistry Duke University School of Medicine;

    Center for Genomic and Computational Biology Duke University School of Medicine|Department of Biostatistics and Bioinformatics Duke University School of Medicine|Department of Computer Science Duke University|Department of Molecular Genetics and Microbiology Duke University School of Medicine;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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  • 正文语种 eng
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