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CLC number: R746.2; R-3

On-line Access: 2013-11-04

Received: 2013-03-03

Revision Accepted: 2013-08-29

Crosschecked: 2013-10-16

Cited: 3

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Journal of Zhejiang University SCIENCE B 2013 Vol.14 No.11 P.973-982


Partial least squares based identification of Duchenne muscular dystrophy specific genes

Author(s):  Hui-bo An, Hua-cheng Zheng, Li Zhang, Lin Ma, Zheng-yan Liu

Affiliation(s):  Department of Pathology, Childrens Hospital, Shijiazhuang 050031, China; more

Corresponding email(s):   huiboan1@sina.com

Key Words:  Partial least squares (PLS), Gene expression profile, Duchenne muscular dystrophy (DMD)The online version of this article contains supplementary materials Data S1

Hui-bo An, Hua-cheng Zheng, Li Zhang, Lin Ma, Zheng-yan Liu. Partial least squares based identification of Duchenne muscular dystrophy specific genes[J]. Journal of Zhejiang University Science B, 2013, 14(11): 973-982.

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%T Partial least squares based identification of Duchenne muscular dystrophy specific genes
%A Hui-bo An
%A Hua-cheng Zheng
%A Li Zhang
%A Lin Ma
%A Zheng-yan Liu
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B1300060

T1 - Partial least squares based identification of Duchenne muscular dystrophy specific genes
A1 - Hui-bo An
A1 - Hua-cheng Zheng
A1 - Li Zhang
A1 - Lin Ma
A1 - Zheng-yan Liu
J0 - Journal of Zhejiang University Science B
VL - 14
IS - 11
SP - 973
EP - 982
%@ 1673-1581
Y1 - 2013
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B1300060

Large-scale parallel gene expression analysis has provided a greater ease for investigating the underlying mechanisms of Duchenne muscular dystrophy (DMD). Previous studies typically implemented variance/regression analysis, which would be fundamentally flawed when unaccounted sources of variability in the arrays existed. Here we aim to identify genes that contribute to the pathology of DMD using partial least squares (PLS) based analysis. We carried out PLS-based analysis with two datasets downloaded from the Gene Expression Omnibus (GEO) database to identify genes contributing to the pathology of DMD. Except for the genes related to inflammation, muscle regeneration and extracellular matrix (ECM) modeling, we found some genes with high fold change, which have not been identified by previous studies, such as SRPX, GPNMB, SAT1, and LYZ. In addition, downregulation of the fatty acid metabolism pathway was found, which may be related to the progressive muscle wasting process. Our results provide a better understanding for the downstream mechanisms of DMD.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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