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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/7039


    Title: Decoding the disease-associated proteins encoded in the human chromosome 4
    Authors: Chen, LC;Liu, MY;Hsiao, YC;Choong, WK;Wu, HY;Hsu, WL;Liao, PC;Sung, TY;Tsai, SF;Yu, JS;Chen, YJ
    Contributors: Institute of Molecular and Genomic Medicine
    Abstract: Chromosome 4 is the fourth largest chromosome, containing approximately 191 megabases (similar to 6.4% of the human genome) with 757 protein-coding genes. A number of marker genes for many diseases have been found in this chromosome, including genetic diseases (e.g., hepatocellular carcinoma) and biomedical research (cardiac system, aging, metabolic disorders, immune system, cancer and stem cell) related genes (e.g., oncogenes, growth factors). As a pilot study for the chromosome 4-centric human proteome project (Chr 4-HPP), we present here a systematic analysis of the disease association, protein isoforms, coding single nucleotide polymorphisms of these 757 protein-coding genes and their experimental evidence at the protein level. We also describe how the findings from the chromosome 4 project might be used to drive the biomarker discovery and validation study in disease-oriented projects, using the examples of secretomic and membrane proteomic approaches in cancer research. By integrating with cancer cell secretomes and several other existing databases in the public domain, we identified 141 chromosome 4-encoded proteins as cancer cell-secretable/shedable proteins. Additionally, we also identified 54 chromosome 4-encoded proteins that have been classified as cancer-associated proteins with successful selected or multiple reaction monitoring (SRM/MRM) assays developed. From literature annotation and topology analysis, 271 proteins were recognized as membrane proteins while 27.9% of the 757 proteins do not have any experimental evidence at the protein-level. In summary, the analysis revealed that the chromosome 4 is a rich resource for cancer-associated proteins for biomarker verification projects and for drug target discovery projects.
    Date: 2013-01
    Relation: Journal of Proteome Research. 2013 Jan;12(1):33-44.
    Link to: http://dx.doi.org/10.1021/pr300829r
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1535-3893&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000313156300003
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84874102353
    Appears in Collections:[蔡世峯] 期刊論文

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