摘要

Objective To construct the competing endogenous RNA(ceRNA)network of metastasis associated lung adenocarcinoma transcript 1(MALAT1)by bioinformatics methods.Methods The miRanda algorithm was used to predict miRNA binding sites on the sequence of MALAT1(1 051 target sites).The cross-link immunoprecipitation high throughput sequencing(CLIP-seq)data were downloaded from StarBase database.Target genes of miRNAs that have been validated by experiments were achieved from the miRTarBase database(5595 genes).Genes positively co-expressed with MALAT1 were downloaded from StarBase(528 genes).Results 1 051 miRNA binding sites were found according to miRanda algorithm and then 48 miRNAs were filtered out by CLIP-seq data of MALAT1.528 genes that positively correlated with MALAT1 were identified.Target genes of the 48 miRNAs were selected from the miRTarBase and filtered by genes positively correlated with MALAT1.Thus,323 genes were finally filtered out.Then the competing endogenous RNA(ceRNA)netwok of MALAT1 was built based on the 48 miRNAs and 323 genes.Conclusion This study constructed MALAT1-mediated ceRNA network by bioinformatics methods,providing resources for further research.

  • 单位
    徐州医学院

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