No abstract available.
Gene Expression*

No Abstract Available.
Gene Expression* ; Neuroglia*

PURPOSE: The inhibitory effect of TGFbeta1 on survivals of L1210 and anticancer drug- resistant L1210 sublines was investigated and the gene expression of TGFbeta1 in these cells was examined. MATERIALS AND METHODS: The survivals of L1210, adriamycin-resistant(L1210AdR), vincristine-resistant(L1210VcR) or cisplatin-resistant(L1210Cis) cells were measured by MTT assay after treatment of TGFbeta1. Northern analysis was performed for TGFbeta1 gene expression in L1210, L1210AdR, L1210VcR or L1210Cis. RESULTS: There was no different survival ratio between two groups, control and TGFbeta1(10 ng/ml) treated groups in L1210 cells. However, the survival ratio of L1210AdR was 59% in TGFbeta1 treated group for 96 hours. The survival ratio of L1210VcR was 61% for 96 hours in TGFbeta1 treated group. The survival ratio of L1210Cis was 40% for 96 hours in TGFbeta1 treated group. Expressions of TGFbeta1 gene in drug-resistant sublines were significantly decreased than that of L1210 cells. CONCLUSION: Growth of anticancer drug-resistant L1210 sublines were inhibited by TGFbeta1 but not in L1210 cells. So, it is suggested that TGFbeta1 gene expression may have a part in anticancer drug-resistance.
Control Groups ; Gene Expression

No abstract available.
Gene Expression* ; Virulence*

No abstract available.
Eating* ; Gene Expression* ; Hypothalamus*

No abstract available.
Eating* ; Gene Expression* ; Hypothalamus*

Serial analysis of gene expression (SAGE) is an effective method of determining gene expression profiles of tissues and organs under different conditions. In this paper, the detail protocol of SAGE was introduced and some modified procedure of SAGE was reviewed.
Gene Expression Profiling ; methods

No abstract available.
Colorectal Neoplasms* ; Gene Expression*

No abstract available.
Gene Expression Regulation* ; Oocytes*

BACKGROUNDAlthough biomedical ontologies have standardized the representation of gene products across species and databases, a method for determining the functional similarities of gene products has not yet been developed.

METHODSWe proposed a new semantic similarity measure based on Gene Ontology that considers the semantic influences from all of the ancestor terms in a graph. Our measure was compared with Resnik's measure in two applications, which were based on the association of the measure used with the gene co-expression and the protein-protein interactions.

RESULTSThe results showed a considerable association between the semantic similarity and the expression correlation and between the semantic similarity and the protein-protein interactions, and our measure performed the best overall.

CONCLUSIONThese results revealed the potential value of our newly proposed semantic similarity measure in studying the functional relevance of gene products.