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Bioinformatics Study Of Differential Display Fragments In Rats Model Of Liver Depression

Posted on:2007-03-27Degree:MasterType:Thesis
Country:ChinaCandidate:L J BeiFull Text:PDF
GTID:2144360182492686Subject:Basic Theory of TCM
Abstract/Summary:PDF Full Text Request
Being one of features of TCM theory, syndrome was based on TCM basic theory, guiding TCM clinic dignose and cure, it became hot spot of study in TCM recently. Syndrome of liver depression is the major syndrome of liver disease in TCM, being frequent syndrome in clinic, it is worthed to be study. As one kind of complex syndrome, symptoms of liver depression are related to liver as well as other visceral system, it makes senior nerve center disfunction, involved changes in nervous system, endocrine system, circulatory system, alimentary system, immune system, sensing system, locomotor system,etc.Development of mordern medicine makes study in genomics, proteomics and bioinformatics be the most important fields of medical study. So how to use these techniques to study syndrome theory is the hot way now, but in recent study of liver depression was limited to part of gene expression products which function were known by scientists, not the essence of liver depression. Complex display of syndrome may base on reasonable foundation and mechanism of action.On account of above-mentioned discuss, the thesis carry out the study as follow:Study of theoryComing of postgenome era makes the emphasis of life science reseach change from structural genomics to functional genomics, this kind of concept thinks highly of function and interaction of genome, was similar with TCM theory. We discussed the similarity among genomics, proteomics, bioinformatics and TCM syndrome theory from entirety, dynamic state, functionality, individualization in this thesis.Study of experimentExperiment I Duplication Rats model of liver depression On the base of prophase experiment, we duplicated Rats model of liver...
Keywords/Search Tags:Chronic unpredictable mild stress, Syndrome of liver depression, Xiaoyaosan, Bioinformatics, Reverse transcription-nested PCR, Rats model
PDF Full Text Request
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