Gene Expression Profiling and Bioinformatic Analysis of Rabbit Basilar Artery after Experimental Subarachnoid HemorrhageYuichiro Kikkawa*, Satoshi Matsuo, Masaaki Hokama, Ryota Kurogi, Akira Nakamizo, Masahiro Mizoguchi and Tomio Sasaki
Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
- Corresponding Author:
- Yuichiro Kikkawa
Department of Neurosurgery, Graduate School of Medical Sciences
Kyushu University, 3-1-1 Maidashi
Higashi-ku, Fukuoka 812-8582, Japan
E-mail: [email protected]
Received date: February 14, 2014; Accepted date: March 20, 2014; Published date: March 26, 2014
Citation: Kikkawa Y, Matsuo S, Hokama M, Kurogi R, Nakamizo A, et al. (2014) Gene Expression Profiling and Bioinformatic Analysis of Rabbit Basilar Artery after Experimental Subarachnoid Hemorrhage. J Neurol Neurophysiol 5:201. doi:10.4172/2155-9562.1000201
Copyright: © 2014 Kikkawa Y, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Objective: 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, we
investigated the time course of changes in the gene expression of cerebral artery using rabbit SAH model and
performed bioinformatic analysis of differentially expressed genes.
Methods: Rabbit basilar arteries were harvested on days 3, 5, and 7 after initial hemorrhage. Changes in gene
expression of the rabbit basilar artery were investigated by using Agilent rabbit oligo microarrays and analyzed the
data by Ingenuity Pathway Analysis (IPA).
Results: Among investigated 43,623 genes, 1,121 genes were differentially expressed at least 1 time point. We
found that the number, magnitude of fold change, and gene expression pattern were most dynamically changed on
day 3, whereas narrowing of the basilar artery became most severe on day 5. In microarray datasets analyzed by
IPA revealed that 25 biological functions identified from differentially expressed genes were significantly
Conclusion: Our findings that were based on gene expression analysis followed by bioinformatic analysis may
provide a simple basis to interlink the various presumed pathogenesis of vascular events including cerebral
vasospasm after SAH.