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Integrative analysis of congenital muscular torticollis: from gene expression to clinical significanceopen access

Authors
Yim, Shin-YoungYoon, DukyongPark, Myong ChulLee, Il JaeKim, Jang-HeeLee, Myung AeKwack, Kyu-SungLee, Jan-DeeLee, Jeong-HunSoh, Euy-YoungNa, Young-InPark, Rae WoongLee, KiYoungJun, Jae-Bum
Issue Date
May-2013
Publisher
BMC
Citation
BMC MEDICAL GENOMICS, v.6, no.s2, pp.1 - 13
Indexed
SCIE
SCOPUS
Journal Title
BMC MEDICAL GENOMICS
Volume
6
Number
s2
Start Page
1
End Page
13
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/162910
DOI
10.1186/1755-8794-6-S2-S10
ISSN
1755-8794
Abstract
Background: Congenital muscular torticollis (CMT) is characterized by thickening and/or tightness of the unilateral sternocleidomastoid muscle (SCM), ending up with torticollis. Our aim was to identify differentially expressed genes (DEGs) and novel protein interaction network modules of CMT, and to discover the relationship between gene expressions and clinical severity of CMT. Results: Twenty-eight sternocleidomastoid muscles (SCMs) from 23 subjects with CMT and 5 SCMs without CMT were allocated for microarray, MRI, or imunohistochemical studies. We first identified 269 genes as the DEGs in CMT. Gene ontology enrichment analysis revealed that the main function of the DEGs is for extracellular region part during developmental processes. Five CMT-related protein network modules were identified, which showed that the important pathway is fibrosis related with collagen and elastin fibrillogenesis with an evidence of DNA repair mechanism. Interestingly, the expression levels of the 8 DEGs called CMT signature genes whose mRNA expression was double-confirmed by quantitative real time PCR showed good correlation with the severity of CMT which was measured with the pre-operational MRI images (R-2 ranging from 0.82 to 0.21). Moreover, the protein expressions of ELN, ASPN and CHD3 which were identified from the CMT-related protein network modules demonstrated the differential expression between the CMT and normal SCM. Conclusions: We here provided an integrative analysis of CMT from gene expression to clinical significance, which showed good correlation with clinical severity of CMT. Furthermore, the CMT-related protein network modules were identified, which provided more in-depth understanding of pathophysiology of CMT.
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