Generation of expression clone set for functional proteomics of human gastric and liver cancers

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Generation of expression clone set for functional proteomics of human gastric and liver cancers
Nang-Su Oh; J S Park; Yeo-Jin Jeon; J H Oh; S Y Jeong; Jin Ok Yang; Y W Park; Hyang Sook Yoo; Nam-Soon Kim
Bibliographic Citation
Experimental Biology and Medicine, vol. 234, no. 10, pp. 1220-1229
Publication Year
Two thousand sixty-eight multi-purpose expression clones for the 326 candidate genes related to gastric or liver cancers were constructed using the Gateway system. These clones can be expressed as His, Glutathione-S-transferase (GST) or Enhanced version of the green fluorescent protein (EGFP) fusion proteins in E. coli, insect cells or mammalian cells. For the 246 E. coli expression clones, the GST fusion proteins had greater expression efficiency and solubility than the His fusion proteins. Approximately 20% of the expressed proteins had unexpected molecular weights. A detailed sequence analysis of these clones revealed frameshift mutations resulting from insertion, deletion or substitution of nucleotides. The results indicate that these changes in the candidate genes may affect the occurrence of gastric or liver cancers. In addition, when 105 proteins, which were expressed in E. coli at very low or undetectable levels, were expressed in insect cells, 76% of the proteins were expressed very well and most were soluble. We also found that most of the 30 proteins prepared using EGFP mammalian expression clones were localized to cellular compartments expected by Gene ontology (GO) and this localization was unaffected if the EGFP-fusion was at the N-terminal or C-terminal region of the protein. Antibody production and subcellular localization analysis of the candidate genes as well as a screen of genes involved in carcinogenesis pathways are currently in progress using these expression clones. These studies provide a valuable resource for developing a better understanding of the molecular mechanism of carcinogenesis in both gastric and liver cancer and would be very helpful in diagnosis and therapeutic predictions.
Functional studyGastric cancerGateway systemHigh-throughput expressionLiver cancer
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Division of Biomedical Research > Rare Disease Research Center > 1. Journal Articles
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