Bioinformatics analysis of metastasis-related proteins in hepatocellular carcinoma
World Journal of Gastroenterology, ISSN: 1007-9327, Vol: 14, Issue: 38, Page: 5816-5822
2008
- 13Citations
- 16Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations13
- Citation Indexes13
- CrossRef13
- 13
- Captures16
- Readers16
- 16
Article Description
Aim: To analyze the metastasis-related proteins in hepatocellular carcinoma (HCC) and discover the biomarker candidates for diagnosis and therapeutic intervention of HCC metastasis with bioinformatics tools. Methods: Metastasis-related proteins were determined by stable isotope labeling and MS analysis and analyzed with bioinformatics resources, including Phobius, Kyoto encyclopedia of genes and genomes (KEGG), online mendelian inheritance in man (OMIM) and human protein reference database (HPRD). Results: All the metastasis-related proteins were linked to 83 pathways in KEGG, including MAPK and p53 signal pathways. Protein-protein interaction network showed that all the metastasis-related proteins were categorized into 19 function groups, including cell cycle, apoptosis and signal transduction. OMIM analysis linked these proteins to 186 OMIM entries. Conclusion: Metastasis-related proteins provide HCC cells with biological advantages in cell proliferation, migration and angiogenesis, and facilitate metastasis of HCC cells. The bird's eye view can reveal a global characteristic of metastasis-related proteins and many differentially expressed proteins can be identified as candidates for diagnosis and treatment of HCC. © 2008 The WJG Press. All rights reserved.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=63449110426&origin=inward; http://dx.doi.org/10.3748/wjg.14.5816; http://www.ncbi.nlm.nih.gov/pubmed/18855979; http://www.wjgnet.com/1007-9327/full/v14/i38/5816.htm; https://dx.doi.org/10.3748/wjg.14.5816; https://www.wjgnet.com/1007-9327/full/v14/i38/5816.htm
Baishideng Publishing Group Inc.
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