z-logo
Premium
Proteomic analysis of myocardial tissue from the border zone during early stage post‐infarct remodelling in rats
Author(s) -
Xiang Fei,
Shi Zhonghua,
Guo Xuejiang,
Qiu Zhibing,
Chen Xujun,
Huang Fuhua,
Sha Jiahao,
Chen Xin
Publication year - 2011
Publication title -
european journal of heart failure
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.149
H-Index - 133
eISSN - 1879-0844
pISSN - 1388-9842
DOI - 10.1093/eurjhf/hfq196
Subject(s) - proteome , proteomics , myocardial infarction , vascular remodelling in the embryo , immunohistochemistry , heart failure , medicine , microbiology and biotechnology , pathology , biology , bioinformatics , gene , biochemistry
Aims Long‐term outcome of patients after myocardial infarction (MI) largely depends on the extent of post‐infarct remodelling. To explore the molecular mechanism of remodelling, comparative proteomic analysis was undertaken to identify differential myocardial proteome profiles expressed in the border zone of the post‐MI heart. Methods and results Two‐dimensional gel electrophoresis and matrix‐assisted laser desorption/ionization tandem time‐of‐flight mass spectrometry were used to identify the differential protein profiles expressed in the border zone at specific time points (Days 0, 1, 4, and 10 post‐infarction) in a permanent rat MI model. We identified 96 differential protein spots, corresponding to 69 proteins. Cluster analysis exhibited five main temporal expression patterns corresponding to the three phases of early stage remodelling. The alteration in expression was supported by reverse transcription‐polymerase chain reaction, western blotting, and immunohistochemical analysis of three selected proteins. Bioinformatics analysis revealed that the proteins in each pattern were functionally related to specific cell processes in remodelling, such as ischaemia, inflammation, and proliferation. Conclusion A differential myocardial proteome profile was identified in the border zone during early stage post‐infarct remodelling. Bioinformatics analysis indicated a possible role of these proteins in remodelling. Proteomics data provided the basis for further functional study of these proteins and for identifying potential molecular targets with therapeutic anti‐remodelling effects.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here