Li Zhili, Tan Haibin, Shi Yi, Huang Guangfu, Wang Zhenyu, Liu Ling, Yin Cheng, Wang Qi
Department of Neurosurgery, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Sichuan, People's Republic of China.
Department of Neurosurgery, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Sichuan, People's Republic of China.
World Neurosurg. 2017 Apr;100:15-21. doi: 10.1016/j.wneu.2016.12.109. Epub 2017 Jan 3.
High-throughput sequencing technologies can expand our understanding of the pathologic basis of intracranial aneurysms (IAs). Our study was aimed to decipher the gene expression signature and genetic factors associated with IAs.
We determined the gene expression levels of 3 cases of IAs by RNA sequencing. Bioinformatics analysis was conducted to identify the differentially expressed genes (DEGs) and uncover their biological function. In addition, whole genome sequencing was performed on an additional 6 cases of IAs to detect the potential somatic alterations in DEGs.
Compared with the normal arterial tissue, 1709 genes were differentially expressed in IAs arterial tissue. The most significantly up-regulated gene and down-regulated gene, H19 and HIST1H3J, may be essential for tumorigenesis of IAs. Hub protein of IKBKG in protein-protein interaction network was probably involved in the inflammation process in aneurysms. Another 2 hub proteins, ACTB and MKI67IP, as well as up-regulated genes, might be abnormally activated in aneurysms and involved in the pathogenesis of IAs. Further whole genome sequencing and filtering yielded 4 candidate somatic single nucleotide variants including MUC3B, and BLM may be involved in the pathogenesis of IAs. Even though, our results do not support the hypothesis of somatic mutations occurred in the DEGs.
Two-dimensional genomic data from transcriptome and whole genome sequencing indicated that no somatic mutations occurred in DEGs. In addition, 3 DEGs (IKBKG, ACTB, and MKI67IP) and 2 mutant genes (MUC3B and BLM) were essential in IAs.
高通量测序技术能够拓展我们对颅内动脉瘤(IA)病理基础的认识。我们的研究旨在解析与IA相关的基因表达特征和遗传因素。
我们通过RNA测序确定了3例IA的基因表达水平。进行生物信息学分析以鉴定差异表达基因(DEG)并揭示其生物学功能。此外,对另外6例IA进行了全基因组测序,以检测DEG中潜在的体细胞改变。
与正常动脉组织相比,IA动脉组织中有1709个基因差异表达。上调最显著的基因和下调最显著的基因,即H19和HIST1H3J,可能对IA的肿瘤发生至关重要。蛋白质-蛋白质相互作用网络中IKBKG的枢纽蛋白可能参与了动脉瘤的炎症过程。另外2个枢纽蛋白ACTB和MKI67IP以及上调基因可能在动脉瘤中异常激活,并参与IA的发病机制。进一步的全基因组测序和筛选产生了4个候选体细胞单核苷酸变异,包括MUC3B,且BLM可能参与IA的发病机制。尽管如此,我们的结果不支持DEG中发生体细胞突变的假说。
来自转录组和全基因组测序的二维基因组数据表明DEG中未发生体细胞突变。此外,3个DEG(IKBKG、ACTB和MKI67IP)和2个突变基因(MUC3B和BLM)在IA中至关重要。