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A combined analysis of genome-wide expression profiling of bipolar disorder in human prefrontal cortex
Wang, Jinglu1,2; Qu, Susu1,2; Wang, Weixiao1,2; Guo, Liyuan1; Zhang, Kunlin1; Chang, Suhua1; Wang, Jing1; S. Chang; J. Wang
First AuthorWang, Jinglu
2016-11-01
Source PublicationJOURNAL OF PSYCHIATRIC RESEARCH
Correspondent Emailchangsh@psych.ac.cn, ; wangjing@psych.ac.cn
ISSN0022-3956
SubtypeArticle
Volume82Issue:0Pages:23-29
Abstract

Numbers of gene expression profiling studies of bipolar disorder have been published. Besides different array chips and tissues, variety of the data processes in different cohorts aggravated the inconsistency of results of these genome-wide gene expression profiling studies. By searching the gene expression databases, we obtained six data sets for prefrontal cortex (PFC) of bipolar disorder with raw data and combinable platforms. We used standardized pre-processing and quality control procedures to analyze each data set separately and then combined them into a large gene expression matrix with 101 bipolar disorder subjects and 106 controls. A standard linear mixed-effects model was used to calculate the differentially expressed genes (DEGs). Multiple levels of sensitivity analyses and cross validation with genetic data were conducted. Functional and network analyses were carried out on basis of the DEGs. In the result, we identified 198 unique differentially expressed genes in the PFC of bipolar disorder and control. Among them, 115 DEGs were robust to at least three leave-one-out tests or different preprocessing methods; 51 DEGs were validated with genetic association signals. Pathway enrichment analysis showed these DEGs were related with regulation of neurological system, cell death and apoptosis, and several basic binding processes. Protein-protein interaction network further identified one key hub gene. We have contributed the most comprehensive integrated analysis of bipolar disorder expression profiling studies in PFC to date. The DEGs, especially those with multiple validations, may denote a common signature of bipolar disorder and contribute to the pathogenesis of disease. (C) 2016 Elsevier Ltd. All rights reserved.

KeywordBipolar Disorder Gene Expression Prefrontal Cortex Mega-analysis Differentially Expressed Genes
DOI10.1016/j.jpsychires.2016.07.016
Indexed BySCI ; SSCI
Language英语
Funding OrganizationNational Natural Science Foundation of China ([NSFC])(31401139) ; National Basic Research Program (973 Program)(2015CB351702) ; State Administration of Foreign Experts Affairs of Chinese Academy of Sciences (CAS/SAFEA) International Partnership Program for Creative Research Teams(Y2CX131003)
WOS Research AreaPsychiatry
WOS SubjectPsychiatry
WOS IDWOS:000384854000004
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordMAJOR DEPRESSIVE DISORDER ; LARGE GENE LISTS ; ALZHEIMERS-DISEASE ; POSTMORTEM BRAINS ; SCHIZOPHRENIA ; ASSOCIATION ; DATABASE ; IMPA2 ; DENSITY ; NORMALIZATION
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Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/20735
Collection中国科学院心理健康重点实验室
Corresponding AuthorS. Chang; J. Wang
Affiliation1.Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, 16 Lincui Rd, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
First Author AffilicationKey Laboratory of Mental Health, CAS
Recommended Citation
GB/T 7714
Wang, Jinglu,Qu, Susu,Wang, Weixiao,et al. A combined analysis of genome-wide expression profiling of bipolar disorder in human prefrontal cortex[J]. JOURNAL OF PSYCHIATRIC RESEARCH,2016,82(0):23-29.
APA Wang, Jinglu.,Qu, Susu.,Wang, Weixiao.,Guo, Liyuan.,Zhang, Kunlin.,...&J. Wang.(2016).A combined analysis of genome-wide expression profiling of bipolar disorder in human prefrontal cortex.JOURNAL OF PSYCHIATRIC RESEARCH,82(0),23-29.
MLA Wang, Jinglu,et al."A combined analysis of genome-wide expression profiling of bipolar disorder in human prefrontal cortex".JOURNAL OF PSYCHIATRIC RESEARCH 82.0(2016):23-29.
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