proteins expression clustering of alzheimer disease in rat hippocampus proteome

because of the huge amounts of proteomic data and demand for new methods of laboratory analysis results, proteins collective analysis, in addition to taking less time, biostatistician assist at identification of new patterns in the data set. in this study, rat hippocampus proteome in normal and alzheimer's disease (ad) were analyzed by using proteomic techniques and bioinformatics’ analysis. protein extracts from normal and alzheimer's rats were separated by using two-dimensional electrophoresis (2de). the silver staining method was used for detecting spots. bioinformatics analysis of proteome were performed by progensis same spots software. bioinformatics and statistical analysis of 2de gel techniques obtained 760 protein spots were detected in both normal and ad rats.  comparisons between controls and alzheimer gel containing 20 common proteins were expressed significantly differences. 16 new proteins were expressed in ad, while 36 proteins were suppressed. proteins clustering by using correlation analysis evaluated 3 clusters in the proteome; principal component analysis also confirmed the results of clustering. finally, we can conclude that a significant expression of alzheimer changes in the hippocampus proteome which are associated with specific biological processes summarized in 3 main clusters indicated 3 principal biological pathways of ad.