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Liao XY, Wang WW, Yang ZH, et al. Microarray analysis of transcriptome of medulla identifies potential biomarkers for Parkinson's disease. Int J Genomics. 2013;2013:606919doi: 10.1155/2013/606919.
Liao, X. Y., Wang, W. W., Yang, Z. H., Wang, J., Lin, H., Wang, Q. S., Wu, Y. X., & Liu, Y. (2013). Microarray analysis of transcriptome of medulla identifies potential biomarkers for Parkinson's disease. International journal of genomics, 2013606919. https://doi.org/10.1155/2013/606919
Liao, Xiao-Yang, et al. "Microarray analysis of transcriptome of medulla identifies potential biomarkers for Parkinson's disease." International journal of genomics vol. 2013 (2013): 606919. doi: https://doi.org/10.1155/2013/606919
Liao XY, Wang WW, Yang ZH, Wang J, Lin H, Wang QS, Wu YX, Liu Y. Microarray analysis of transcriptome of medulla identifies potential biomarkers for Parkinson's disease. Int J Genomics. 2013;2013:606919. doi: 10.1155/2013/606919. Epub 2013 Nov 20. PMID: 24350239; PMCID: PMC3853924.
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Int J Genomics. 2013;2013:606919. doi: 10.1155/2013/606919. Epub 2013 Nov 20.

Microarray analysis of transcriptome of medulla identifies potential biomarkers for Parkinson's disease.

International journal of genomics

Xiao-Yang Liao, Wei-Wen Wang, Zheng-Hui Yang, Jun Wang, Hang Lin, Qing-Song Wang, Yu-Xian Wu, Yu Liu

Affiliations

  1. Unit of General Practice, West China Hospital of Sichuan University, Chengdu 610041, China.
  2. Department of Neurology, Cheng Du Military General Hospital, Chengdu 610083, China.

PMID: 24350239 PMCID: PMC3853924 DOI: 10.1155/2013/606919

Abstract

To complement the molecular pathways contributing to Parkinson's disease (PD) and identify potential biomarkers, gene expression profiles of two regions of the medulla were compared between PD patients and control. GSE19587 containing two groups of gene expression profiles [6 dorsal motor nucleus of the vagus (DMNV) samples from PD patients and 5 from controls, 6 inferior olivary nucleus (ION) samples from PD patients and 5 from controls] was downloaded from Gene Expression Omnibus. As a result, a total of 1569 and 1647 differentially expressed genes (DEGs) were, respectively, screened in DMNV and ION with limma package of R. The functional enrichment analysis by DAVID server (the Database for Annotation, Visualization and Integrated Discovery) indicated that the above DEGs may be involved in the following processes, such as regulation of cell proliferation, positive regulation of macromolecule metabolic process, and regulation of apoptosis. Further analysis showed that there were 365 common DEGs presented in both regions (DMNV and ION), which may be further regulated by eight clusters of microRNAs retrieved with WebGestalt. The genes in the common DEGs-miRNAs regulatory network were enriched in regulation of apoptosis process via DAVID analysis. These findings could not only advance the understandings about the pathogenesis of PD, but also suggest potential biomarkers for this disease.

References

  1. Proc Natl Acad Sci U S A. 2010 Sep 28;107(39):16970-5 - PubMed
  2. Nucleic Acids Res. 2002 Jan 1;30(1):207-10 - PubMed
  3. J Am Chem Soc. 2001 Jan 17;123(2):361-2 - PubMed
  4. Nucleic Acids Res. 2005 Jul 1;33(Web Server issue):W741-8 - PubMed
  5. Curr Opin Neurol. 2004 Aug;17(4):437-42 - PubMed
  6. Neurosci Lett. 2009 Sep 18;461(2):155-8 - PubMed
  7. Expert Opin Ther Targets. 2008 Apr;12(4):437-47 - PubMed
  8. J Alzheimers Dis. 2009;16(4):879-95 - PubMed
  9. Neurology. 1993 Sep;43(9):1693-7 - PubMed
  10. Parkinsonism Relat Disord. 2012 Jan;18 Suppl 1:S207-9 - PubMed
  11. Bioinformatics. 2001 Jun;17(6):520-5 - PubMed
  12. Nat Protoc. 2009;4(1):44-57 - PubMed
  13. J Biomol Struct Dyn. 2012;30(1):1-12 - PubMed
  14. J Biotechnol. 2011 Mar 20;152(3):96-101 - PubMed
  15. J Korean Med Sci. 2005 Jun;20(3):495-8 - PubMed
  16. Mov Disord. 2013 Jun;28(6):779-86 - PubMed
  17. PLoS One. 2009 Dec 10;4(12):e8247 - PubMed
  18. Ann Neurol. 2006 Aug;60(2):197-203 - PubMed
  19. Neuropathol Appl Neurobiol. 2008 Jun;34(3):284-95 - PubMed
  20. Mov Disord. 2007 Mar 15;22(4):461-8 - PubMed
  21. Biochemistry (Mosc). 2012 Aug;77(8):813-9 - PubMed
  22. J Clin Invest. 2009 Oct;119(10):2925-41 - PubMed
  23. Mov Disord. 2009 Apr 15;24(5):662-6 - PubMed
  24. Pharmacol Res. 2010 Jan;61(1):14-26 - PubMed
  25. Int J Dev Neurosci. 2007 Jun;25(4):227-32 - PubMed
  26. Neurology. 1998 May;50(5):1346-50 - PubMed
  27. Exp Neurol. 2008 Jan;209(1):213-23 - PubMed
  28. Neurobiol Aging. 2003 Mar-Apr;24(2):197-211 - PubMed
  29. Drug Discov Today. 2009 Dec;14(23-24):1123-9 - PubMed
  30. Neurochem Res. 2002 Oct;27(10):1231-43 - PubMed
  31. Trends Endocrinol Metab. 2002 Apr;13(3):100-5 - PubMed
  32. Ann Neurol. 1998 Sep;44(3 Suppl 1):S126-33 - PubMed
  33. Aging (Albany NY). 2011 Mar;3(3):223-36 - PubMed
  34. Brain. 2009 Jul;132(Pt 7):1795-809 - PubMed
  35. Int J Neurosci. 2013 Jan;123(1):60-4 - PubMed
  36. Curr Mol Med. 2012 Mar;12(3):247-58 - PubMed
  37. Nat Rev Mol Cell Biol. 2000 Nov;1(2):120-9 - PubMed
  38. Neuroreport. 1995 Nov 13;6(16):2197-200 - PubMed
  39. J Biol Chem. 2010 Apr 23;285(17):12726-34 - PubMed
  40. Ann Hum Genet. 2011 Mar;75(2):201-10 - PubMed
  41. Proc Natl Acad Sci U S A. 2009 Aug 4;106(31):13052-7 - PubMed
  42. BMC Bioinformatics. 2006 Oct 23;7:469 - PubMed

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