Expression of SRSF3 is Correlated with Carcinogenesis and Progression of Oral Squamous Cell Carcinoma.

OBJECTIVE: Oral squamous cell carcinoma (OSCC) is the most common malignancy of head and neck with high mortality rates. The mechanisms of initiation and development of OSCC remain largely unknown. Dysregulated alternative splicing of pre-mRNA has been associated with OSCC. Splicing factor SRSF3 is a proto-oncogene and overexpressed in multiple cancers. The aim of this study was to uncover the relationship between SRSF3 and carcinogenesis and progression of oral squamous cell carcinoma. DESIGN AND METHODS: The expression of SRSF3 in oral normal, dysplasia, or carcinoma tissues was analyzed by immunohistochemistry. The expression levels of EMT-related genes were quantified by real-time quantitative RT-PCR. The expression of SRSF3 in DMBA treated primary cultured oral epithelial cells were analyzed by western blot. RESULT: SRSF3 is overexpressed in oral cancer and moderate or severe dysplasia tissues. Patients with high grade cancer or lymphatic metastasis showed up-regulated expression of SRSF3. Knockdown of SRSF3 repressed the expression of Snail and N-cadherin in vitro. Carcinogen DMBA treated primary cultured oral epithelial cells showed significantly increased SRSF3 level than in control cells. CONCLUSION: Our results suggested that SRSF3 is associated with the initiation and development of OSCC and may be a biomarker and therapeutic target of OSCC.

Study on natural language interface of network fault diagnosis expert system / 西安交通大学学报·英文版

The expert system is an important field of the artificial intelligence. The traditional interface of the expert system is the command, menu and window at present. It limits the application of the expert system and embarrasses the enthusiasm of using expert system. Combining with the study on the expert system of network fault diagnosis, the natural language interface of the expert system has been discussed in this article. This interface can understand and generate Chinese sentences. Using this interface, the user and field experts can use the expert system to diagnose the fault of network conveniently. In the article, first, the extended production rule has been proposed. Then the methods of Chinese sentence generation from conceptual graphs and the model of expert system are introduced in detail. Using this model, the network fault diagnosis expert system and its natural language interface have been developed with Prolog.

STUDY ON NATURAL LANGUAGE INTERFACE OF NETWORK FAULT DIAGNOSIS EXPERT SYSTEM / 药物分析学报

The expert system is an important field of the artificial intelligence. The traditional interface of the expert system is the command, menu and window at present. It limits the application of the expert system and embarrasses the enthusiasm of using expert system. Combining with the study on the expert system of network fault diagnosis, the natural language interface of the expert system has been discussed in this article. This interface can understand and generate Chinese sentences. Using this interface, the user and field experts can use the expert system to diagnose the fault of network conveniently. In the article, first, the extended production rule has been proposed. Then the methods of Chinese sentence generation from conceptual graphs and the model of expert system are introduced in detail. Using this model, the network fault diagnosis expert system and its natural language interface have been developed with Prolog.