零新发突变的地形及其与人类疾病的相关性。

IF 4.4 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Candace S.Y. Chan , Ioannis Mouratidis , Austin Montgomery , Georgios Christos Tsiatsianis , Nikol Chantzi , Martin Hemberg , Nadav Ahituv , Ilias Georgakopoulos-Soares
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引用次数: 0

摘要

零片段是基因组中不存在的短DNA序列(11-18个碱基对);然而,它们可能由于突变而出现。在这里,我们描述了所有可能的人类零基因出现的单碱基对突变,群体变异和致病突变。我们发现,人类基因组中出现零粒的主要决定因素是CpG二核苷酸和甲基化胞嘧啶的存在。在特定的基因组元件上,包括转录起始和结束位点、剪接位点和转录因子结合位点,假定的零端出现突变是丰富的。我们还观察到,假设的零新突变在高度保守的区域更频繁,并在核小体上显示优先位置。在重复元件中,Alu重复序列在特定位置表现出明显的富集。最后,我们发现与疾病相关的致病突变比良性突变更有可能导致零瘤的出现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The topography of nullomer-emerging mutations and their relevance to human disease
Nullomers are short DNA sequences (11–18 base pairs) that are absent from a genome; however, they can emerge due to mutations. Here, we characterize all possible putative human nullomer-emerging single base pair mutations, population variants and disease-causing mutations. We find that the primary determinants of nullomer emergence in the human genome are the presence of CpG dinucleotides and methylated cytosines. Putative nullomer-emerging mutations are enriched at specific genomic elements, including transcription start and end sites, splice sites and transcription factor binding sites. We also observe that putative nullomer-emerging mutations are more frequent in highly conserved regions and show preferential location at nucleosomes. Among repeat elements, Alu repeats exhibit pronounced enrichment for putative nullomer-emerging mutations at specific positions. Finally, we find that disease-associated pathogenic mutations are significantly more likely to cause emergence of nullomers than their benign counterparts.
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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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