Deep mutational scanning quantifies DNA binding and predicts clinical outcomes of PAX6 variants
Deep mutational scanning quantifies DNA binding and predicts clinical outcomes of PAX6 variants
复制标题
深度突变扫描可量化 DNA 结合并预测 PAX6 变体的临床结果
DOI:
10.1101/2023.07.25.550478
复制
发表时间:
2023
期刊:
影响因子:
--
通讯作者:
McDonnell A
中科院分区:
文献类型:
--
作者:
McDonnell A
Nonsense and missense mutations in the transcription factor PAX6 cause a wide range of eye development defects, including aniridia, microphthalmia and coloboma. To understand how changes of PAX6:DNA binding cause these phenotypes, we combined saturation mutagenesis of the paired domain of PAX6 with a yeast one-hybrid (Y1H) assay in which expression of a PAX6-GAL4 fusion gene drives antibiotic resistance. We quantified binding of more than 2700 single amino-acid variants to two DNA sequence elements. Mutations in DNA-facing residues of the N-terminal subdomain and linker region were most detrimental, as were mutations to prolines and to negatively charged residues. Many variants caused sequence-specific molecular gain-of-function effects, including variants in position 71 that increased binding to the LE9 enhancer but decreased binding to a SELEX-derived binding site. In the absence of antibiotic selection, variants that retained DNA binding slowed yeast growth, likely because such variants perturbed the yeast transcriptome. Benchmarking against known patient variants and applying ACMG/AMP guidelines to variant classification, we obtained supporting-to-moderate evidence that 977 variants are likely pathogenic and 1306 are likely benign. Our analysis shows that most pathogenic mutations in the paired domain of PAX6 can be explained simply by the effects of these mutations on PAX6:DNA association, and establishes Y1H as a generalisable assay for the interpretation of variant effects in transcription factors.
登录
查看更多内容
影响因子:
--
作者:
Manuel M;Pratt T;Liu M;Jeffery G;Price DJ
通讯作者:
Price DJ
影响因子:
4.4
作者:
Chauhan,BhareshK;Zhang,Weiyan;Cveklova,Kveta;Kantorow,Marc;Cvekl,Ales
通讯作者:
Cvekl,Ales
影响因子:
64.8
作者:
Faure, Andre J.;Domingo, Julia;Lehner, Ben
通讯作者:
Lehner, Ben
影响因子:
3.4
作者:
Cvekl, Ales;Callaerts, Patrick
通讯作者:
Callaerts, Patrick
影响因子:
10.5
作者:
HAYASHI, S;GOTO, K;KONDOH, H
通讯作者:
KONDOH, H