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利用 7 -mer 种子匹配鉴定的 miRNAs 沉默肺癌基因。

Silencing lung cancer genes using miRNAs identified by 7mer-seed matching.

机构信息

Department of Biotechnology, Assam University, Silchar, 788011, Assam, India.

Department of Biotechnology, Assam University, Silchar, 788011, Assam, India.

出版信息

Comput Biol Chem. 2021 Jun;92:107483. doi: 10.1016/j.compbiolchem.2021.107483. Epub 2021 Apr 12.

DOI:10.1016/j.compbiolchem.2021.107483
PMID:33932780
Abstract

Lung cancer (LC) is the main cause of cancer-associated deaths in both men and women globally with a very high mortality rate. The microRNAs (miRNAs) are a class of noncoding RNAs consisting of 18-25 nucleotides. They inhibit translation of protein through binding to complementary target mRNAs. The non-coding miRNAs are recognized as potent biomarkers for detection, development and treatment of malignancy. In this study, we screened a set of 12 genes over expressed in small cell lung cancer, non small cell lung cancer and the genes involved in both categories and their binding sites for human miRNAs as no work was reported yet. Screening of human miRNAs revealed that a few genes showed numerous miRNA binding sites. Free energy values of mRNA sequences revealed that they might acquire compact folded structure causing complexity for miRNAs to interact. GC content in the target site was relatively higher than that of their flanks. It was observed through analysis of cosine similarity metric and compAI parameters that the genes related to lung cancer were encoded with non optimal codons and thus might be translationally less efficient for producing polypeptides. Gene ontology analysis was carried out to understand the diverse functions of these 12 genes.

摘要

肺癌(LC)是全球男性和女性癌症相关死亡的主要原因,死亡率非常高。微 RNA(miRNA)是一类由 18-25 个核苷酸组成的非编码 RNA。它们通过与互补的靶 mRNAs 结合来抑制蛋白质的翻译。非编码 miRNA 被认为是检测、发展和治疗恶性肿瘤的有效生物标志物。在这项研究中,我们筛选了一组在小细胞肺癌、非小细胞肺癌和两者都涉及的基因中过度表达的 12 个基因,以及它们与人类 miRNA 的结合位点,因为目前还没有报道过这些基因。筛选人类 miRNA 显示,一些基因显示出许多 miRNA 结合位点。mRNA 序列的自由能值表明,它们可能获得紧凑折叠的结构,从而使 miRNA 更难相互作用。靶位点的 GC 含量相对高于其侧翼。通过余弦相似性度量和 compAI 参数的分析观察到,与肺癌相关的基因编码的密码子是非最优的,因此可能在翻译过程中产生多肽的效率较低。进行了基因本体论分析,以了解这 12 个基因的多种功能。

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