Transcription Factors and microRNA-Co-Regulated Genes in Gastric Cancer Invasion in Ex Vivo
نویسندگان
چکیده
Aberrant miRNA expression abnormally modulates gene expression in cells and can contribute to tumorigenesis in humans. This study identified functionally relevant differentially expressed genes using the transcription factors and miRNA-co-regulated network analysis for gastric cancer. The TF-miRNA co-regulatory network was constructed based on data obtained from cDNA microarray and miRNA expression profiling of gastric cancer tissues. The network along with their co-regulated genes was analyzed using Database for Annotation, Visualization and Integrated Discovery (DAVID) and Transcriptional Regulatory Element Database (TRED). We found eighteen (17 up-regulated and 1 down-regulated) differentially expressed genes that were co-regulated by transcription factors and miRNAs. KEGG pathway analysis revealed that these genes were part of the extracellular matrix-receptor interaction and focal adhesion signaling pathways. In addition, qRT- PCR and Western blot data showed an increase in COL1A1 and decrease in NCAM1 mRNA and protein levels in gastric cancer tissues. Thus, these data provided the first evidence to illustrate that altered gene network was associated with gastric cancer invasion. Further study with a large sample size and more functional experiments is needed to confirm these data and contribute to diagnostic and treatment strategies for gastric cancer.
منابع مشابه
MiR-493 suppresses the proliferation and invasion of gastric cancer cells by targeting RhoC
Objective(s):MiRNAs have been proposed to be key regulators of tumorigenesis, progression and metastasis. However, their effect and prognostic value in gastric cancer is still poorly known. Materials and Methods: Gastric cancer cell lines were cultured. Tissue samples obtained from 36 gastric cancer patients were used for quantitative real-time PCR (qRT-PCR) analysis. The tissue microarrays (T...
متن کاملOverexpression of E2F mRNAs Associated with Gastric Cancer Progression Identified by the Transcription Factor and miRNA Co-Regulatory Network Analysis
Gene expression is regulated at the transcription and translation levels; thus, both transcription factors (TFs) and microRNAs (miRNA) play roles in regulation of gene expression. This study profiled differentially expressed mRNAs and miRNAs in gastric cancer tissues to construct a TF and miRNA co-regulatory network in order to identify altered genes in gastric cancer progression. A total of 70...
متن کاملThe Relationship between Gastric Carcinogenesis Susceptibility and Some SNPs in MicroRNA Genes in General Population of Ardabil Province
Background & Objectives: Gastric cancer is the fourth most common cancer in the world and Ardabil province is in the top ranks in the world. MicroRNAs are non-coding RNA molecules with a length of 18 to 21 nucleotides and due to their regulatory role in post- transcriptional gene expression; single nucleotide polymorphisms (SNPs) could affect their function on target genes regulation. Methods: ...
متن کاملMicroRNA-107, an oncogene microRNA that regulates tumour invasion and metastasis by targeting DICER1 in gastric cancer
MicroRNAs are small non-coding RNA molecules that control expression of target genes. Previous studies showed that microRNA-107 (miR-107) is overexpressed in gastric cancer tissues compared with the matched normal tissues. However, it remains largely unclear as to how miR-107 exerts its function and modulates the malignant phenotypes of gastric cancer, because our understanding of miR-107 signa...
متن کاملDiagnosis and Treatment B non-Hodgkin Lymphoma with System Biology Approaches
Lymphomas are solid tumors of immune system and Non-Hodgkin Lymphomas (NHL) is the most prevalent lymphomas; with wide ranges of histological and clinical features, it is so difficult to identify them. Herein, various bioinformatics tools (such as gene differential expressions, epigenetics and protein analysis) employed to find new treatment approach for NHL based on gene expression variation b...
متن کامل