Microarray gene expression profiling and bioinformatics analysis of premature ovarian failure in a rat model
العنوان: | Microarray gene expression profiling and bioinformatics analysis of premature ovarian failure in a rat model |
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المؤلفون: | Jiaming Xie, Ji Li, Pengling Ge, Dongwei Han, Shengjun Fan, Haixue Kuang |
المصدر: | Experimental and molecular pathology. 97(3) |
سنة النشر: | 2014 |
مصطلحات موضوعية: | endocrine system diseases, Clinical Biochemistry, Enzyme-Linked Immunosorbent Assay, Biology, Primary Ovarian Insufficiency, Pathology and Forensic Medicine, Rats, Sprague-Dawley, Complementary DNA, Gene expression, medicine, Animals, Cluster Analysis, Gene Regulatory Networks, RNA, Messenger, Molecular Biology, Transcription factor, Gene, Oligonucleotide Array Sequence Analysis, Genetics, Messenger RNA, Principal Component Analysis, Gene Expression Profiling, Computational Biology, medicine.disease, female genital diseases and pregnancy complications, Premature ovarian failure, Rats, Gene expression profiling, Disease Models, Animal, Female, Signal transduction |
الوصف: | Premature ovarian failure (POF) remains one of the major gynecological problems worldwide which affected 1% of women. Even though tremendous achievements had been acquired as opposed to years past, molecular pathogenesis associated with POF is still unclear and needs to be well-defined. The aim of this study was to analyze the gene expression profiles in the POF rat model. To predict potential regulating factors, we firstly treated female Sprague Dawley (SD) rat with 4-vinylcyclohexene diepoxide (VCD). Total RNA from ovarian tissue was converted to cDNA and hybridized to mRNA Chip array. The differentially expressed genes (DEGs) were identified by two-sample t test and assessed using hierarchical clustering and Principal Component Analysis methods. Potential regulatory targets associated with these DEGs were constructed using BisoGenet in Cytoscape. Gene Ontology (GO) and functional enrichment analysis were performed using BiNGO and DAVID, respectively. As the results, 25 DEGs were found to be closely associated with POF initiation. Hierarchical clustering and Principal Component Analysis on the transcriptional profiles revealed an excellent separation of the vehicle and POF compartments. Pathway enrichment analysis based on the disease-gene interaction network analysis led to the identification of two core signaling pathways that were strongly affected during POF initiation and progression: immune response and cardiovascular disorders. In conclusion, we constructed a gene regulatory network associated with POF using the microarray gene expression profiling, and screened out some genes or transcription factors that may be used as potential molecular therapeutic targets for POF. |
تدمد: | 1096-0945 |
الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee4e7e6e84aa552ddf9841447d66c95aTest https://pubmed.ncbi.nlm.nih.gov/25445499Test |
حقوق: | CLOSED |
رقم الانضمام: | edsair.doi.dedup.....ee4e7e6e84aa552ddf9841447d66c95a |
قاعدة البيانات: | OpenAIRE |
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