Biomedical subjects

Zhong-xi Huang

Publications and source records attributed to Zhong-xi Huang.

5 recordsLinked to original sources

PubMed2004

[Mining gene expression microarray data of nasopharyngeal carcinoma by literature profiling].

OBJECTIVE: To study abnormal signal pathway in nasopharyngeal carcinoma (NPC). METHOD: NPC gene expression microarray data was mined by analysis of literature profiles generated by extracting the frequencies of certain terms from the abstracts stored in the Medline literature database. The terms were then filtered on the basis of both repetitive occurrence and co-occurrence among multiple gene entries. Finally, clustering analysis was performed on the retained frequency values, shaping a coherent picture of the functional relationship among large and heterogeneous lists of genes. RESULT: Sixteen function groups were found among 112 abnormally expressed genes, including 4 groups indicative of Epstein-Barr virus (EBV) infection, 6 groups indicative of normal nasopharyngeal tissues that acquired essential capabilities to develop into tumor, 2 groups involved in energy metabolism, 1 group suggesting abnormal phosphorylation of proteins, 2 groups related to other diseases, and 1 group associated with muscle activities. The pathways of p53 and Rb, which were frequently abnormal during tumor progression, were not found in these groups. CONCLUSION: Initiation and progression of NPC may be caused by special signal transduction pathways.

Humans↗

PubMed2004

[Predicting human tumor-specific promoter using transcription factor binding sites].

To predict human tumor-specific promoters using computer technology, three data sets of tumor-specific promoter sequences, transcription factor binding site sequences and non-tumor promoter sequences were collected, and the tumor-specific promoter sequences and non-tumor promoter sequences were analyzed for the comparative density of each unique transcription factor binding site. The density of each transcription factor binding site in the corresponding data set was used to derive the density ratio, from which the eigenvector was constructed to identify human tumor-specific promoters. This method proved to be highly accurate in predicting the tumor-specific promoters, with recognition rates of over 90% of the training sequences and over 80% of the testing sequences.

Algorithms↗

PubMed2003

[Detection of severe acute respiratory syndrome (SARS)-associated coronavirus RNA in autopsy tissues with in situ hybridization].

OBJECTIVE: To explore the distribution of severe acute respiratory syndrome (SARS)-associated coronavirus (SARS-CoV) in SARS autopsy tissues at the molecular level. METHODS: In situ hybridization was used to detect the expression and location of SARS-CoV RNA polymerase gene in autopsy tissues from SARS-Cov-infected subjects, including the lung, spleen, lymph nodes, pituitary, pancreas, parathyroid, adrenal glands, gastrointestinal tract, skin, brain, liver, kidney, blood vessels, striated muscles of the limbs, bone marrow, heart, ovary, uterus and testicles. RESULT: SARS-CoV RNA was detected in the cytoplasm of the alveolar epithelia, infiltrating mononuclear phagocytes in the lungs, serous gland epithelium of the trachea/bronchus, monocytes in the spleen and lymph nodes, acinar cells in the pancreas, acidophilic cells in the parathyroid and pituitary, adrenal cortical cells, epithelia of the alimentary tracts, gastric parietal cells, sweat gland cells, brain neurons, hepatocytes near the central vein, epithelia of the distal renal tubules, bone marrow promyelocytes, and endothelia of the small veins. CONCLUSIONS: SARS-CoV invades various organs of the body and distributes in a similar fashion to CD13, the receptor of human coronavirus 229E. The detection of SARS-CoV in the sweat glands, alimentary tracts and epithelia of the distal convoluted tubules of the kidney may help identify the transmission routes of SARS-CoV.

Autopsy↗

PubMed2003

[Expression of the monoclonal antibody against nucleocapsid antigen of SARS-associated coronavirus in autopsy tissues from SARS patients].

OBJECTIVE: To investigate the presence and distribution of severe acute respiratory syndrome (SARS)-associated coronavirus (SARS-CoV) in autopsy tissues obtained from patients died of SARS. METHODS: Immunohistochemical technique was applied in 4 fatal SARS cases to examine the autopsy tissues including the lungs, spleen, lymph nodes, brain, pituitary, heart, liver, kidney, pancreas, trachea, esophagus, gastrointestinal tract, adrenal glands, parathyroids, skin and bone marrow. RESULTS: Immunohistochemistry identified positive monoclonal antibody against SARS-CoV nuceeocapsid (N) protein in the alveolar epithelium and the infiltrating monocytes or macrophages in the lung, spleen and lymph nodes; the presence of the antibody was also detected in the serous gland epithelium of the trachea/bronchus, squamous epithelium of the esophagus, the gastric parietal cells, the epithelium of the intestinal tract, acidophilic cells in the parathyroids and pituitary, acinus cells in the pancreas, adrenal cortical cells, sweat gland cells, small vessel endothelium, bone marrow promyelocytes, epithelial cells of the distal convoluted tubule of the kidney, brain neurons, and the hepatocytes near the central vein. CONCLUSIONS: A variety of organs and tissues can be infected by SARS-CoV, and the positive expression of SARS-CoV N protein in the epithelial cells of the gastrointestinal tract, the distal convoluted tubule of the kidney and the sweat gland cells is significant for studying the transmission routes of SARS.

Antibodies, Monoclonal↗

PubMed2003

[Mining microarray gene expression data of metastatic colorectal cancer by literature profiling].

OBJECTIVE: To search new metastatic colorectal cancer-related genes. METHODS: Metastatic colorectal cancer microarray gene expression data was mined by literature profiling, which was based on the analysis of literature profiles generated by extracting the frequencies of certain terms from the abstracts in the Medline literature database. The terms are then filtered on the basis of both repetitive occurrence and co-occurrence among multiple gene entries. Clustering analysis was subsequently performed on the retained frequency values, shaping a coherent picture of the functional relationship among the heterogeneous genes identified in the long lists. The clustering result was analyzed against the result of document analysis and experiment. RESULTS AND CONCLUSION: Two new genes (TIAM1 and NM23H1) with potential relation to metastatic colorectal cancer were identified.

Colorectal Neoplasms↗