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Identifying distinct candidate genes for early Parkinson's disease by analysis of gene expression in whole blood.
Neuro Endocrinol Lett. 2014; 35(5):398-404.NE

Abstract

OBJECTIVE

Parkinson disease (PD) is a degenerative disorder of the central nervous system, and in the majority of cases, the causes of PD are unknown. Coupled with impressive advances in statistical tools for analyzing large, complex data sets, well-designed microarray experiments are poised to make a big impact in the field of diseases. So we set the study to identify distinct PD-associated candidates.

METHODS

Candidate genes, with statistical significant changes of expression in PD patients' samples, were extracted from a transcriptome-wide microarray data in 105 individuals, which were downloaded from GEO, NCBI, by using statistical methods; Selected findings were confirmed by principal component analysis (PCA) and functional and pathway enrichment analysis were used to further study about the distinct candidates.

RESULTS

A total of 10 distinctly differentially expressed genes were identified in PD patitents' samples. After PCA confirmation, we specifically pointed out 4 genes (PRKAG2, DLG1, DDX3Y, RPS4Y) as the high confidence distinct candidates in PD. Network and functional categories showed that they were most related to translational elongation(GO:0006414) and participated in mTOR signaling pathway(hsa04150).

CONCLUSION

Among 10 distinct genes which are identified in PD patients' samples, DLG1, XIST, DDX3Y and RPS4Y1 genes can classify samples into different group clearly, and they are regarded as high confidence distinct gene biomarkers of PD. Our results provide a systematic view of the functional alterations of PD that may help to elucidate the mechanisms of PD and lead to improved treatments for PD patients.

Authors+Show Affiliations

Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

25275262

Citation

Sun, Ai-Guo, et al. "Identifying Distinct Candidate Genes for Early Parkinson's Disease By Analysis of Gene Expression in Whole Blood." Neuro Endocrinology Letters, vol. 35, no. 5, 2014, pp. 398-404.
Sun AG, Wang J, Shan YZ, et al. Identifying distinct candidate genes for early Parkinson's disease by analysis of gene expression in whole blood. Neuro Endocrinol Lett. 2014;35(5):398-404.
Sun, A. G., Wang, J., Shan, Y. Z., Yu, W. J., Li, X., Cong, C. H., & Wang, X. (2014). Identifying distinct candidate genes for early Parkinson's disease by analysis of gene expression in whole blood. Neuro Endocrinology Letters, 35(5), 398-404.
Sun AG, et al. Identifying Distinct Candidate Genes for Early Parkinson's Disease By Analysis of Gene Expression in Whole Blood. Neuro Endocrinol Lett. 2014;35(5):398-404. PubMed PMID: 25275262.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Identifying distinct candidate genes for early Parkinson's disease by analysis of gene expression in whole blood. AU - Sun,Ai-Guo, AU - Wang,Jing, AU - Shan,Yao-Zhong, AU - Yu,Wen-Jiao, AU - Li,Xin, AU - Cong,Chao-Hua, AU - Wang,Xin, PY - 2014/04/27/received PY - 2014/06/21/accepted PY - 2014/10/3/entrez PY - 2014/10/3/pubmed PY - 2015/3/11/medline SP - 398 EP - 404 JF - Neuro endocrinology letters JO - Neuro Endocrinol Lett VL - 35 IS - 5 N2 - OBJECTIVE: Parkinson disease (PD) is a degenerative disorder of the central nervous system, and in the majority of cases, the causes of PD are unknown. Coupled with impressive advances in statistical tools for analyzing large, complex data sets, well-designed microarray experiments are poised to make a big impact in the field of diseases. So we set the study to identify distinct PD-associated candidates. METHODS: Candidate genes, with statistical significant changes of expression in PD patients' samples, were extracted from a transcriptome-wide microarray data in 105 individuals, which were downloaded from GEO, NCBI, by using statistical methods; Selected findings were confirmed by principal component analysis (PCA) and functional and pathway enrichment analysis were used to further study about the distinct candidates. RESULTS: A total of 10 distinctly differentially expressed genes were identified in PD patitents' samples. After PCA confirmation, we specifically pointed out 4 genes (PRKAG2, DLG1, DDX3Y, RPS4Y) as the high confidence distinct candidates in PD. Network and functional categories showed that they were most related to translational elongation(GO:0006414) and participated in mTOR signaling pathway(hsa04150). CONCLUSION: Among 10 distinct genes which are identified in PD patients' samples, DLG1, XIST, DDX3Y and RPS4Y1 genes can classify samples into different group clearly, and they are regarded as high confidence distinct gene biomarkers of PD. Our results provide a systematic view of the functional alterations of PD that may help to elucidate the mechanisms of PD and lead to improved treatments for PD patients. SN - 0172-780X UR - https://www.unboundmedicine.com/medline/citation/25275262/Identifying_distinct_candidate_genes_for_early_Parkinson's_disease_by_analysis_of_gene_expression_in_whole_blood_ L2 - https://medlineplus.gov/parkinsonsdisease.html DB - PRIME DP - Unbound Medicine ER -