Laboratory Medicine ›› 2016, Vol. 31 ›› Issue (6): 527-532.DOI: 10.3969/j.issn.1673-8640.2016.06.018

• Orginal Article • Previous Articles     Next Articles

Influence of AJUBA overexpression on T47D gene expression profile by RNA sequencing

XU Beihui1, LI Qi2, ZOU Xiuqun2, XU Hong2, HOU Zhaoyuan2, WANG Jiamin2, NI Peihua1   

  1. 1. Department of Laboratory Medicine,Ruijin Hospital,Shanghai Jiaotong University School of Medicine,Shanghai 200025,China
    2. Department of Biochemistry and Molecular Cytobiology,Shanghai Jiaotong University School of Medicine,Shanghai 200025,China
  • Received:2016-02-22 Online:2016-06-30 Published:2016-07-05

Abstract:

Objective To investigate the influence of AJUBA gene on estrogen receptor-positive breast cancer cell line T47D gene expression. Methods T47D cell line for stable expression of AJUBA was established. RNA-seq analysis was performed for RNA extracted from T47D-vector and T47D-AJUBA groups. After mapping and reading,transcriptome reconstruction,normalization and expression quantification,differentially expressed genes were identified with gene ontology(GO) analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis. Differentially expressed genes were validated by real-time fluorescence quantitative polymerase chain reaction(RT-qPCR). Results A total of 568 differentially expressed genes were identified,including 239 up-regulated genes and 329 down-regulated genes. In GO analysis,3,23 and 8 up-regulated genes were annotated to molecular function,biological process and cellular component,respectively,while 21,35 and 9 down-regulated genes were also annotated to molecular function,biological process and cellular component,respectively. In KEGG analysis,2 were up-regulated genes,and 4 were down-regulated genes. Conclusions The overexpression of AJUBA gene may have remarkable effects on a series of biological function-related multiple signal pathways,and AJUBA gene might play an important role in the tumorigenesis and development of breast cancer.

Key words: AJUBA, Breast cancer, High-throughput RNA sequencing, Differentially expressed gene, Bioinformatics analysis

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