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Identification of alternatively spliced mRNA variants related to cancers by genome-wide ESTs alignment

机译:通过全基因组EST对齐鉴定与癌症有关的其他剪接的mRNA变体

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Several databases have been published to predict alternative splicing of mRNAs by analysing the exon linkage relationship by alignment of expressed sequence tags (ESTs) to the genome sequence; however, little effort has been made to investigate the relationship between cancers and alternative splicing. We developed a program, Alternative Splicing Assembler (ASA), to look for splicing variants of human gene transcripts by genome-wide ESTs alignment. Using ASA, we constructed the biosino alternative splicing database (BASD), which predicted splicing variants for reference sequences from the reference sequence database (RefSeq) and presented them in both graph and text formats. EST clusters that differ from the reference sequences in at least one splicing site were counted as splicing variants. Of 4322 genes screened, 3490 (81%) were observed with at least one alternative splicing variants. To discover the variants associated with cancers, tissue sources of EST sequences were extracted from the UniLib database and ESTs from the same tissue type were counted. These were regarded as the indicators for gene expression level. Using Fisher's exact test, alternative splicing variants, of which EST counts were significantly different between cancer tissues and their counterpart normal tissues, were identified. It was predicted that 2149 variants, or 383 variants after Bonferroni correction, of 26812 variants were likely tumor-associated. By reverse transcription–PCR, 11 of 13 novel alternative splicing variants and eight of nine variants' tissue specificity were confirmed in hepatocelluar carcinoma and in lung cancer. The possible involvement of alternative splicing in cancer is discussed.
机译:已经发表了一些数据库,通过将表达的序列标签(EST)与基因组序列进行比对来分析外显子的连锁关系,从而预测mRNA的选择性剪接。然而,很少有人努力研究癌症与选择性剪接之间的关系。我们开发了一个程序,Alternative Splicing Assembler(ASA),以通过全基因组EST对准寻找人类基因转录本的剪接变体。使用ASA,我们构建了biosino替代剪接数据库(BASD),该数据库可从参考序列数据库(RefSeq)预测参考序列的剪接变体,并以图形和文本格式显示。在至少一个剪接位点与参考序列不同的EST簇被计为剪接变体。在筛选的4322个基因中,观察到3490个(81%)具有至少一种备选剪接变体。为了发现与癌症有关的变异体,从UniLib数据库中提取了EST序列的组织来源,并对来自相同组织类型的EST进行了计数。这些被认为是基因表达水平的指标。使用Fisher精确检验,鉴定出了其他剪接变体,其中在癌组织及其对应的正常组织之间,EST计数显着不同。预测26818个变体中的2149个变体,或在邦费罗尼校正后的383个变体可能与肿瘤相关。通过逆转录PCR,在肝细胞癌和肺癌中确认了13个新的可变剪接变体中的11个和9个变体的组织特异性中的8个。讨论了可变剪接可能参与的癌症。

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