alexa Bioinformatics Analyses of m-RNA Profiling Following Ez
ISSN: 1948-5956

Journal of Cancer Science & Therapy
Open Access

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Research Article

Bioinformatics Analyses of m-RNA Profiling Following Ezrin Knockdown in Esophageal Squamous Cell Carcinoma

Bingli Wu1,, Chunquan Li1,2,, Jianjun Xie1, Zepeng Du3, Liewei Luo4, Jianyi Wu1, Pixian Zhang1, Liyan Xu5,* and Enmin Li1,*
1Department of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou, Guangdong Province, China
2College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China
3Department of Pathology, Shantou Central Hospital, Affiliated Shantou Hospital of Sun Yat-sen University, Shantou, Guangdong Province, China
4Department of Biochemistry and Molecular Biology, Guangdong Pharmaceutical University Guangzhou Higher Education Mega Center, Guangzhou, Guangdong Province, China
5Institute of Oncologic Pathology, Shantou University Medical College, Shantou, Guangdong Province, China
These authors contributed equally to this work.
Corresponding Authors : Liyan Xu
Institute of Oncologic Pathology
Shantou University Medical College
Shantou, Guangdong Province
515041 China
Tel: +86 754 88900413
Fax: +86 754 88900488
E-mail: [email protected]
  Enmin Li
Department of Biochemistry and Molecular Biology
Shantou University Medical College
Shantou, Guangdong Province
515041 China
Tel: +86 754 88900413
Fax: +86 754 88900488
E-mail: [email protected]
Received June 07, 2014; Accepted August 20, 2014; Published August 25, 2014
Citation: Wu B, Li C, Xie J, Du Z, Luo L, et al. (2014) Bioinformatics Analyses of m-RNA Profiling Following Ezrin Knockdown in Esophageal Squamous Cell Carcinoma. J Cancer Sci Ther 6:314-321. doi:10.4172/1948-5956.1000287
Copyright: © 2014 Wu B, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Abstract

Ezrin is involves in multiple cancer cell functions. In this study, differentially expressed genes (DEGs) identified from mRNA expression profiling following Ezrin knockdown in esophageal squamous cell carcinoma (ESCC), were analyzed by multiple bioinformatics methods for a comprehensive understanding. Gene Ontology enrichment found significant terms related to immunity, stimulus response, extracellular matrix-binding and signal transduction. Functional Annotation Chart showed except GO categories, these DEGs were annotated by 72 functional category terms. Subpathway analyses revealed the DEGs were involved in 36 subpathways, overwhelming the traditional pathway enrichment. Promoter analyses showed specific sequence patterns and transcription factors correspond to the co-downregulation and co-upregulation of DEGs. MNB1A, DOF2, PBF, YY1, PRRX2, UBX and ARNTAHR co-regulate the downregulated genes, whereas GATA2, ZNF42, deltaEF1, MYCN and ARNT co-regulate the upregulated genes. This paper provides a workflow for a better understanding the roles of Ezrin knockdown in ESCC by the bioinformatics analyses of its DEGs.

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