Stoll Rebecca J, Thompson Grace R, Samy Mohammad D, Blanck George
Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.
Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA; Immunology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Biomed Rep. 2017 Feb;6(2):211-216. doi: 10.3892/br.2016.826. Epub 2016 Dec 8.
Human mutagenesis is largely random, thus large coding regions, simply on the basis of probability, represent relatively large mutagenesis targets. Thus, we considered the possibility that large cytoskeletal-protein related coding regions (CPCRs), including extra-cellular matrix (ECM) coding regions, would have systemic nucleotide variants that are not present in common SNP databases. Presumably, such variants arose recently in development or in recent, preceding generations. Using matched breast cancer and blood-derived normal datasets from the cancer genome atlas, CPCR single nucleotide variants (SNVs) not present in the All SNPs(142) or 1000 Genomes databases were identified. Using the Protein Variation Effect Analyzer internet-based tool, it was discovered that apparent, systemic mutations (not shared among others in the analysis group) in the CPCRs, represented numerous deleterious amino acid substitutions. However, no such deleterious variants were identified among the (cancer blood-matched) variants shared by other members of the analysis group. These data indicate that private SNVs, which potentially have a medical consequence, occur with significant frequency in the larger, human coding regions that collectively impact the cytoskeleton and ECM.
人类诱变在很大程度上是随机的,因此,仅基于概率而言,大的编码区域就代表了相对较大的诱变靶点。因此,我们考虑了一种可能性,即包括细胞外基质(ECM)编码区域在内的大的细胞骨架蛋白相关编码区域(CPCRs),会存在常见单核苷酸多态性(SNP)数据库中所没有的系统性核苷酸变异。据推测,此类变异是在发育过程中或最近的前代中出现的。利用来自癌症基因组图谱的匹配乳腺癌和血液来源的正常数据集,我们鉴定出了不在全SNP(142)或千人基因组数据库中的CPCR单核苷酸变异(SNV)。使用基于网络的蛋白质变异效应分析工具,我们发现CPCRs中明显的系统性突变(分析组中的其他个体没有共享)代表了大量有害的氨基酸替换。然而,在分析组的其他成员共享的(癌症与血液匹配的)变异中,未鉴定出此类有害变异。这些数据表明,可能具有医学后果的私人SNV在较大的人类编码区域中频繁出现,这些区域共同影响细胞骨架和ECM。