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探索同源域的 DNA 识别潜力。

Exploring the DNA-recognition potential of homeodomains.

机构信息

Program in Gene Function and Expression, University of Massachusetts Medical School, Worcester, Massachusetts 01605, USA.

出版信息

Genome Res. 2012 Oct;22(10):1889-98. doi: 10.1101/gr.139014.112. Epub 2012 Apr 26.

Abstract

The recognition potential of most families of DNA-binding domains (DBDs) remains relatively unexplored. Homeodomains (HDs), like many other families of DBDs, display limited diversity in their preferred recognition sequences. To explore the recognition potential of HDs, we utilized a bacterial selection system to isolate HD variants, from a randomized library, that are compatible with each of the 64 possible 3' triplet sites (i.e., TAANNN). The majority of these selections yielded sets of HDs with overrepresented residues at specific recognition positions, implying the selection of specific binders. The DNA-binding specificity of 151 representative HD variants was subsequently characterized, identifying HDs that preferentially recognize 44 of these target sites. Many of these variants contain novel combinations of specificity determinants that are uncommon or absent in extant HDs. These novel determinants, when grafted into different HD backbones, produce a corresponding alteration in specificity. This information was used to create more explicit HD recognition models, which can inform the prediction of transcriptional regulatory networks for extant HDs or the engineering of HDs with novel DNA-recognition potential. The diversity of recovered HD recognition sequences raises important questions about the fitness barrier that restricts the evolution of alternate recognition modalities in natural systems.

摘要

大多数 DNA 结合域(DBD)家族的识别潜力仍然相对未知。同源域(HD)与许多其他 DBD 家族一样,其首选识别序列的多样性有限。为了探索 HD 的识别潜力,我们利用细菌选择系统从随机文库中分离出与每个 64 个可能的 3' 三联体位点(即 TAANNN)都兼容的 HD 变体。这些选择中的大多数产生了在特定识别位置具有高丰度残基的 HD 集合,这意味着选择了特定的结合物。随后对 151 个代表性 HD 变体的 DNA 结合特异性进行了表征,鉴定出优先识别 44 个这些靶位点的 HD。其中许多变体包含在现存的 HD 中罕见或不存在的特异性决定因素的新颖组合。当这些新的决定因素被嫁接到不同的 HD 骨架上时,特异性会发生相应的改变。这些信息被用于创建更明确的 HD 识别模型,这可以为现存 HD 的转录调控网络的预测或具有新型 DNA 识别潜力的 HD 的工程提供信息。回收的 HD 识别序列的多样性提出了一个重要的问题,即限制自然系统中替代识别模式进化的适应障碍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f0/3460184/bdc1165e0067/1889fig1.jpg

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