Origins of nonsense mutations in human tumor suppressor genes

IF 1.5 4区 医学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Min Zhang, Da Yang, Barry Gold
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引用次数: 2

Abstract

Understanding the origins of mutations in tumor suppressor genes and oncogenes associated with cancers in different tissues is critical to the development of potential prevention strategies. Analysis of >10,000 nonsense mutations in 63 tumor suppressor genes based on the ratio of the number of nonsense mutations per codon type is reported for each gene. The ratio for C•G→T•A nonsense mutations at Arg CGA codons to the number of CGA codons in all cancers is 23 (3088 total nonsense mutations for 134 CGA codons in the 63 suppressor genes). The ratio for this codon, which is attributed to hydrolytic deamination of 5-methylcytosine at CpG sites based on the sequence context, is 6-fold higher than the next highest ratio that involves a C•G→T•A transition at Trp TGG codons. C•G→A•T transversions at Glu, Ser, Tyr, Gly and Cys codons account for 25 % of the total nonsense mutations but the mutation per codon ratio for these codons is 1.0. Analysis of the bases 5′ of the mutated CGA codons in the 63 tumor suppressor genes in all cancers shows a preference of 5′-G > C ∼ T ∼ A, which is not indicative of a role for enzymatic deamination by deaminases. Overall C•G→T•A mutations account for 61 % of all of the nonsense mutations in the collection of tumor suppressor genes. It is demonstrated that the ratio of C•G→T•A deamination-associated nonsense mutations at CGA codons (hydrolytic deamination) to the number of frame shift insertion/deletion mutations (i.e., replication based) for 5 major tumor suppressors genes are very similar in 3 different tissues that undergo a wide range of stem cell divisions. Therefore, the frequency of deamination mutations parallels the number of stem cell replications. This may reflect the generation of more solvent accessible single-stranded DNA regions during polymerization that are kinetically more prone to deamination.

人类肿瘤抑制基因无义突变的起源
了解不同组织中与癌症相关的肿瘤抑制基因和癌基因突变的起源对于制定潜在的预防策略至关重要。根据每个基因每个密码子类型的无义突变数的比率,对63个肿瘤抑制基因的1万个无义突变进行了分析。所有肿瘤中Arg CGA密码子C•G→T•A无义突变与CGA密码子数目之比为23(63个抑制基因中134个CGA密码子共有3088个无义突变)。该密码子的比率是CpG位点上5-甲基胞嘧啶水解脱氨作用的结果,是Trp TGG密码子C•G→T•a转换的第二高比率的6倍。Glu、Ser、Tyr、Gly和Cys密码子的C•G→A•T翻转占无义突变总数的25%,但这些密码子的每个密码子突变比为1.0。对63个肿瘤抑制基因中突变的CGA密码子的碱基5′进行分析,发现5′-G >优先;C ~ T ~ A,这并不表明脱氨酶在酶促脱氨中的作用。总的来说,C•G→T•A突变占肿瘤抑制基因集合中所有无义突变的61%。研究表明,5种主要肿瘤抑制基因的CGA密码子C•G→T•A脱氨相关无义突变(水解脱氨)与帧移插入/删除突变(即基于复制)的数量之比在3种不同的干细胞分裂组织中非常相似。因此,脱氨突变的频率与干细胞复制的数量平行。这可能反映了在聚合过程中产生更多溶剂可接近的单链DNA区域,这些区域在动力学上更容易被脱氨。
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来源期刊
CiteScore
4.90
自引率
0.00%
发文量
24
审稿时长
51 days
期刊介绍: Mutation Research (MR) provides a platform for publishing all aspects of DNA mutations and epimutations, from basic evolutionary aspects to translational applications in genetic and epigenetic diagnostics and therapy. Mutations are defined as all possible alterations in DNA sequence and sequence organization, from point mutations to genome structural variation, chromosomal aberrations and aneuploidy. Epimutations are defined as alterations in the epigenome, i.e., changes in DNA methylation, histone modification and small regulatory RNAs. MR publishes articles in the following areas: Of special interest are basic mechanisms through which DNA damage and mutations impact development and differentiation, stem cell biology and cell fate in general, including various forms of cell death and cellular senescence. The study of genome instability in human molecular epidemiology and in relation to complex phenotypes, such as human disease, is considered a growing area of importance. Mechanisms of (epi)mutation induction, for example, during DNA repair, replication or recombination; novel methods of (epi)mutation detection, with a focus on ultra-high-throughput sequencing. Landscape of somatic mutations and epimutations in cancer and aging. Role of de novo mutations in human disease and aging; mutations in population genomics. Interactions between mutations and epimutations. The role of epimutations in chromatin structure and function. Mitochondrial DNA mutations and their consequences in terms of human disease and aging. Novel ways to generate mutations and epimutations in cell lines and animal models.
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