Net1 and Myeov: computationally identified mediators of gastric cancer

Characterization of tissue-specific mbu-3 gene expression in the mouse central nervous system

Mbu-3 is a novel mouse brain unigene that was identified by digital differential display. In this study, expression of the gene was chased through developmental stages and the protein product was identified in the brain. The cDNA sequence was 3,995-bp long and contained an ORF of 745 AA. Database searches revealed that the chicken SST273 gene containing LRR- and Ig-domain was an mbu-3 orthologue. Tissue specificity for the gene was examined in embryos and in brains at post-natal and adult stages. During the embryonic stages, mbu-3 was localized to the central nervous system in the brain and spinal cord. In the early post-natal stages, the gene was evenly expressed in the brain. However, with aging, expression was confined to specific regions, particularly the hippocampus. The protein was approximately 95 kDa as determined by Western blot analysis of brain extracts.

Characterization of mouse synaptic vesicle-2-associated protein (Msvop) specifically expressed in the mouse central nervous system

In this study, we identified and characterized a mouse brain-enriched unigene (msvop) after performing digital differential display. Msvop was the mouse ortholog of Xenopus synaptic vesicle-2-associated protein (svop), the molecular characteristics of which were unknown. The 3125-bp full-length cDNA encoded a 548-aa protein of approximately 60 kDa. A strong promoter element was found in the -200 to -100 bp region in both NG108-15 and HEK293 cells. RT-PCR and in situ hybridization analysis confirmed that msvop was strictly expressed in the mouse central nervous system. In adult brains, msvop was highly expressed in the hippocampus and cerebellum. When the gene was transfected into HEK293 cells in a GFP fusion vector, the protein was specifically localized in the cytosol. These results indicate that msvop is a central nervous system-specific gene and could be utilized for elucidating gene regulation in neuronal cells.

NET1-mediated RhoA activation facilitates lysophosphatidic acid-induced cell migration and invasion in gastric cancer

The most lethal aspects of gastric adenocarcinoma (GA) are its invasive and metastatic properties. This aggressive phenotype remains poorly understood. We have recently identified neuroepithelial cell transforming gene 1 (NET1), a guanine exchange factor (GEF), as a novel GA-associated gene. Neuroepithelial cell transforming gene 1 expression is enhanced in GA and it is of functional importance in cell invasion. In this study, we demonstrate the activity of NET1 in driving cytoskeletal rearrangement, a key pathological mechanism in gastric tumour cell migration and invasion. Neuroepithelial cell transforming gene 1 expression was increased 10-fold in response to treatment with lysophosphatidic acid (LPA), resulting in an increase in active levels of RhoA and a 2-fold increase in cell invasion. Lysophosphatidic acid-induced cell invasion and migration were significantly inhibited using either NET1 siRNA or a RhoA inhibitor (C3 exoenzyme), thus indicating the activity of both NET1 and RhoA in gastric cancer progression. Furthermore, LPA-induced invasion and migration were also significantly reduced in the presence of cytochalasin D, an inhibitor of cytoskeletal rearrangements. Neuroepithelial cell transforming gene 1 knockdown resulted in AGS cell rounding and a loss of actin filament organisation, demonstrating the function of NET1 in actin organisation. These data highlight the importance of NET1 as a driver of tumour cell invasion, an activity mediated by RhoA activation and cytoskeletal reorganisation.

Expression and clinical significance of NET-1 and PCNA in hepatocellular carcinoma

OBJECTIVE

Objective of this study was to detect the expression of neuroepithelial transforming gene-1 (NET-1) and proliferating cell nuclear antigen (PCNA) in hepatocellular carcinoma (HCC) and adjacent tissues, and to investigate the relation of the expression of NET-1 in HCC tissue with cancer proliferation, metastasis and clinic stages.

METHODS

The expression of NET-1 mRNA was detected by reverse transcription-polymerase chain reaction method in 34 human HCC tissues, and it was matched with 34 paracarcinoma tissues. The expression of PCNA in HCC was analyzed by immunohistochemistry. Meanwhile, the relation of the expression with clinic pathological features of HCC was evaluated, and the correlation between the expression of NET-1 and PCNA in HCC was investigated.

RESULTS

Expression of NET-1 was significantly higher in HCC than that in matched paracarcinoma tissues. The expression of NET-1 was significantly higher in TMN III-IV HCC tissues when compared with TMN I-II HCC tissues (P<0.05). The expression level of NET-1 in HCC tissues was related to intrahepatic metastasis and portal vein infiltration. The expression of NET-1 in HCC tissues was positively correlated with PCNA.

CONCLUSIONS

The expression of NET-1 may relate to proliferation, metastasis and clinic stages of HCC. The expression of NET-1 in HCC tissues may positively correlate to the TMN stages.

In silico gene expression analysis--an overview

Efforts aimed at deciphering the molecular basis of complex disease are underpinned by the availability of high throughput strategies for the identification of biomolecules that drive the disease process. The completion of the human genome-sequencing project, coupled to major technological developments, has afforded investigators myriad opportunities for multidimensional analysis of biological systems. Nowhere has this research explosion been more evident than in the field of transcriptomics. Affordable access and availability to the technology that supports such investigations has led to a significant increase in the amount of data generated. As most biological distinctions are now observed at a genomic level, a large amount of expression information is now openly available via public databases. Furthermore, numerous computational based methods have been developed to harness the power of these data. In this review we provide a brief overview of in silico methodologies for the analysis of differential gene expression such as Serial Analysis of Gene Expression and Digital Differential Display. The performance of these strategies, at both an operational and result/output level is assessed and compared. The key considerations that must be made when completing an in silico expression analysis are also presented as a roadmap to facilitate biologists. Furthermore, to highlight the importance of these in silico methodologies in contemporary biomedical research, examples of current studies using these approaches are discussed. The overriding goal of this review is to present the scientific community with a critical overview of these strategies, so that they can be effectively added to the tool box of biomedical researchers focused on identifying the molecular mechanisms of disease.

Characterization of a novel mouse brain gene (mbu-1) identified by digital differential display

Using in silico approaches, we cloned a novel mouse gene (mbu-1) that was strictly expressed in the central nervous system. mbu-1 was first identified as an EST after carrying out digital differential display for unigene libraries from various mouse tissues. The full-length cDNA sequence was obtained by extending the ends of EST by RACE. The cDNA sequence was 2611 bp long and contained an ORF of 597 AA. A positive cis-acting region was found in the neuroblastomaxglioma hybrid, NG108-15, and in human embryonic kidney HEK293 cell lines. RT-PCR and in situ hybridization analysis showed that the mbu-1 gene was only expressed in the brain and spinal cord during the embryonic stages, and throughout all regions of the adult brain, showing higher levels in the hippocampus and hypothalamus.

ETV4 and Myeov knockdown impairs colon cancer cell line proliferation and invasion

We have identified novel colorectal cancer-associated genes using NCBI's UNIGENE cDNA libraries. Colon cancer libraries were examined using Digital Differential Display and disease-associated genes were selected. Among these were ETV4 and MYEOV, novel colorectal cancer-associated genes. Samples of matched normal and neoplastic colon were obtained from human subjects and gene expression was quantified using real-time PCR. ETV4 gene expression was significantly increased in colonic neoplasia in comparison to matched normal colonic tissue (p<0.05). Myeov expression was also increased in colon neoplasia in comparison to matched normal tissue. The effect of siRNA-mediated knockdown of ETV4 and Myeov on cell proliferation and invasion was assessed. ETV4 knockdown resulted in a 90% decrease in cell proliferation (p<0.05) and a 67% decrease in cell invasion. Myeov knockdown resulted in a 48% decrease in cell proliferation (p<0.05) and a 36% decrease in cell invasion. These data suggest that ETV4 and Myeov may provide novel targets for therapeutic intervention.