Literature DB >> 25503250

Network-based gene expression analysis of vascular wall of juvenile Moyamoya disease.

Nobuya Okami1, Yasuo Aihara, Hiroyuki Akagawa, Koji Yamaguchi, Akitsugu Kawashima, Toshiyuki Yamamoto, Yoshikazu Okada.   

Abstract

SUBJECTS: Little is known about the pathology and pathogenesis of the Moyamoya disease (MMD). To better understand the molecular processes involved in MMD gene expression analysis of Moyamoya artery tissue to a control artery, this study was conducted.
METHODS: Tissue samples of two MMD and two non-MMD were profiled using oligonucleotide microarrays. Gene ontology classification of the differentially expressed genes was analyzed, and regulatory functional networks and pathways were identified with a network-based computational pathway analysis tool. Analysis of MMD and control tissue revealed 104 differentially expressed genes.
RESULTS: The two major significantly associated gene ontology terms was cellular development and cellular movement. Further network-based analysis showed significant interaction between RNF213 downstream gene networks and the top 3 score gene networks of MMD. Three major nodes of this network were evident in the merged network and were showing interactions with downstream network of RNF213.
CONCLUSIONS: Our results demonstrate that cellular development and cellular movement in MMD are the key role of mechanisms.

Entities:  

Mesh:

Year:  2014        PMID: 25503250     DOI: 10.1007/s00381-014-2605-2

Source DB:  PubMed          Journal:  Childs Nerv Syst        ISSN: 0256-7040            Impact factor:   1.475


  17 in total

1.  Linkage analysis of moyamoya disease on chromosome 6.

Authors:  T K Inoue; K Ikezaki; T Sasazuki; T Matsushima; M Fukui
Journal:  J Child Neurol       Date:  2000-03       Impact factor: 1.987

2.  Increase in elastin gene expression and protein synthesis in arterial smooth muscle cells derived from patients with Moyamoya disease.

Authors:  M Yamamoto; M Aoyagi; S Tajima; H Wachi; N Fukai; Y Matsushima; K Yamamoto
Journal:  Stroke       Date:  1997-09       Impact factor: 7.914

3.  Elevation of cerebrospinal fluid levels of basic fibroblast growth factor in moyamoya and central nervous system disorders.

Authors:  A M Malek; S Connors; R L Robertson; J Folkman; R M Scott
Journal:  Pediatr Neurosurg       Date:  1997-10       Impact factor: 1.162

4.  Angiogenic factors in moyamoya disease.

Authors:  T Yoshimoto; K Houkin; A Takahashi; H Abe
Journal:  Stroke       Date:  1996-12       Impact factor: 7.914

5.  Moyamoya disease--a review.

Authors:  J Suzuki; N Kodama
Journal:  Stroke       Date:  1983 Jan-Feb       Impact factor: 7.914

6.  Mapping of a familial moyamoya disease gene to chromosome 3p24.2-p26.

Authors:  H Ikeda; T Sasaki; T Yoshimoto; M Fukui; T Arinami
Journal:  Am J Hum Genet       Date:  1999-02       Impact factor: 11.025

7.  A novel susceptibility locus for moyamoya disease on chromosome 8q23.

Authors:  Kaoru Sakurai; Yasue Horiuchi; Hidetoshi Ikeda; Kiyonobu Ikezaki; Takashi Yoshimoto; Masashi Fukui; Tadao Arinami
Journal:  J Hum Genet       Date:  2004       Impact factor: 3.172

8.  Prevalence and clinicoepidemiological features of moyamoya disease in Japan: findings from a nationwide epidemiological survey.

Authors:  Shinichi Kuriyama; Yasuko Kusaka; Miki Fujimura; Kenji Wakai; Akiko Tamakoshi; Shuji Hashimoto; Ichiro Tsuji; Yutaka Inaba; Takashi Yoshimoto
Journal:  Stroke       Date:  2007-11-29       Impact factor: 7.914

9.  The cerebrospinal fluid in patients with moyamoya disease (spontaneous occlusion of the circle of Willis) contains high level of basic fibroblast growth factor.

Authors:  A Takahashi; Y Sawamura; K Houkin; H Kamiyama; H Abe
Journal:  Neurosci Lett       Date:  1993-10-01       Impact factor: 3.046

10.  Smooth muscle cell proliferation and localization of macrophages and T cells in the occlusive intracranial major arteries in moyamoya disease.

Authors:  J Masuda; J Ogata; C Yutani
Journal:  Stroke       Date:  1993-12       Impact factor: 7.914

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  2 in total

1.  Transcriptomic Profiling of Intracranial Arteries in Adult Patients With Moyamoya Disease Reveals Novel Insights Into Its Pathogenesis.

Authors:  Shuangxiang Xu; Wei Wei; Feiyang Zhang; Tongyu Chen; Lixin Dong; Jichun Shi; Xiaolin Wu; Tingbao Zhang; Zhengwei Li; Jianjian Zhang; Xiang Li; Jincao Chen
Journal:  Front Mol Neurosci       Date:  2022-05-31       Impact factor: 6.261

2.  TGFβ1 as a Predictive Biomarker for Collateral Formation Within Ischemic Moyamoya Disease.

Authors:  Yuanbing Chen; Miao Tang; Hui Li; Hongwei Liu; Junyu Wang; Jun Huang
Journal:  Front Neurol       Date:  2022-07-07       Impact factor: 4.086

  2 in total

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