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Isobaric Tags for Relative and Absolute Quantitation (iTRAQ) Quantitative Proteomic Analysis Identifies Potential Therapeutic Targets of Berberine for Experimental Colitis
Author(s) -
Li Yanhong,
Bian Zhaoxiang
Publication year - 2017
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.31.1_supplement.lb861
Subject(s) - berberine , quantitative proteomics , proteomics , chemistry , colitis , ribosomal protein , ulcerative colitis , microbiology and biotechnology , biochemistry , biology , medicine , immunology , rna , pathology , ribosome , disease , gene
Background and Aims Berberine has been proved to have beneficial effects against ulcerative colitis (UC) with unknown targets. The changes of protein profile in pathogenesis‐targeted colon have been proposed as an ideal material to uncover the therapeutic targets of drug for UC. Methods The colons were collected from water control mice, three cycles of DSS‐induced colitis mice, and berberine‐treated colitis mice. Isobaric tags for relative and absolute quantitation (iTRAQ)‐based quantification proteomics was conducted to investigate the colon proteins whose abundance were changed. Results A total of 167 proteins that exhibited changes in abundance between berberine‐treated and DSS‐treated control mice were identified, including mast cell protease 2 (Mcpt2), eosinophil cationic protein 1 (Ear1), calcium‐activated chloride channel regulator 1 (Clca1), apolipoprotein A‐I (Apoa1), 60S ribosomal protein L19 (Rpl19) and 60S ribosomal protein L18 (Rpl18). Importantly, the observed changes in the abundance of these six proteins in the two groups of animals were supported in another quantitative evaluation of the individual colon using a multiple reaction monitor (MRM) assay. Conclusions Thus, the quantitative target analysis demonstrated Mcpt2, Ear1, Clca1, Apoa1, Rpl19 and Rpl18 are potential therapeutic target of berberine for UC. Support or Funding Information This work was supported by grant from the Municipal Science and Technology Program of Shenzhen (Basic Research Fund [2015]1342).