Gene Expression Profiling Impact Factor|OMICS International|Journal Of Molecular Biomarkers And Diagnosis

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Gene Expression Profiling Impact Factor

Impact Factor is a population statistic that reflects how many citations of a journal’s papers published over a two-year period receive during the subsequent year. “The annual Journal Citation Reports impact factor is a ratio between citations and recent citable items published: a journal’s impact factor is calculated by dividing the number of current year citations to the source items published in that journal during the previous two years. The molecular mechanisms which contribute to the development of vascular events including cerebral vasospasm after subarachnoid hemorrhage (SAH) in cerebral artery remain to be elucidated. In this study, it was investigated that the time course of changes in the gene expression of cerebral artery using rabbit SAH model and performed bioinformatic analysis of differentially expressed genes.The gene microarray method allows simultaneous analysis of the expression of thousands of genes. This technology promises to allow investigation of the entire genome on a single chip so that researchers can obtain a global picture of the interactions among thousands of genes simultaneously.Cerebral vasospasm is thought to be a biologically complex and multifactorial pathological condition. Therefore, this new approach will produce a broad view of the pathological mechanisms by identifying pathogenic genes and their interaction in various functional networks. Moreover, analyzing chronological changes in gene expression of cerebral artery may be helpful for elucidating the mechanism of cerebral vasospasm because the delayed onset is a fundamental feature of the pathophysiology of cerebral vasospasm. Microarray analysis to investigate chronological changes in gene expression in the basilar artery in the rabbit SAH model. Moreover, to elucidate how differentially expressed genes (DEGs) interact during the development of cerebral vasospasm, Ingenuity Pathway Analysis. (YuichiroKikkawa, Satoshi Matsuo, Masaaki Hokama, RyotaKurogi, Akira Nakamizo, Masahiro Mizoguchi and Tomio Sasaki, Gene Expression Profiling and Bioinformatic Analysis of Rabbit Basilar Artery after Experimental Subarachnoid Hemorrhage)
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Last date updated on February, 2021