Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0019204 (hepatocellular carcinoma)
71,386 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Various antibacterial compounds, antitumor compounds, enzyme inhibitors and recent signal transduction inhibitors have been discovered from microorganisms and plants. Therefore, it should be possible to find antimetastatic compounds from these sources, if a simple assay system is available. We isolated several enzyme inhibitors from nature to inhibit experimental metastasis. Leupeptin is an old protease inhibitor and inhibited blood-borne lung metastasis of hepatoma cells in rats. A leupeptin analogue inhibiting urokinase inhibited in vitro invasion of human fibrosarcoma cells. Alpha-glucosidase inhibitors such as epi-CPL and baicalein inhibited in vitro invasion and in vivo metastasis of mouse melanoma cells. A mannosidase inhibitor, mannostatin A, also inhibited in vitro invasion of mouse melanoma cells. Oncogene function inhibitors induce normal phenotypes in the oncogene-expressing cells. As expected, they inhibited tumor cell invasion in vitro.
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PMID:Inhibition of experimental metastasis by enzyme inhibitors from microorganisms and plants. 886 51

Interpretation of proteome data with a focus on biomarker discovery largely relies on comparative proteome analyses. Here, we introduce a database-assisted interpretation strategy based on proteome profiles of primary cells. Both 2-D-PAGE and shotgun proteomics are applied. We obtain high data concordance with these two different techniques. When applying mass analysis of tryptic spot digests from 2-D gels of cytoplasmic fractions, we typically identify several hundred proteins. Using the same protein fractions, we usually identify more than thousand proteins by shotgun proteomics. The data consistency obtained when comparing these independent data sets exceeds 99% of the proteins identified in the 2-D gels. Many characteristic differences in protein expression of different cells can thus be independently confirmed. Our self-designed SQL database (CPL/MUW - database of the Clinical Proteomics Laboratories at the Medical University of Vienna accessible via www.meduniwien.ac.at/proteomics/database) facilitates (i) quality management of protein identification data, which are based on MS, (ii) the detection of cell type-specific proteins and (iii) of molecular signatures of specific functional cell states. Here, we demonstrate, how the interpretation of proteome profiles obtained from human liver tissue and hepatocellular carcinoma tissue is assisted by the Clinical Proteomics Laboratories at the Medical University of Vienna-database. Therefore, we suggest that the use of reference experiments supported by a tailored database may substantially facilitate data interpretation of proteome profiling experiments.
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PMID:Introducing the CPL/MUW proteome database: interpretation of human liver and liver cancer proteome profiles by referring to isolated primary cells. 1958 9