Literature DB >> 18462474

Analysis of gene expression in Parkinson's disease: possible involvement of neurotrophic support and axon guidance in dopaminergic cell death.

Koen Bossers1, Gideon Meerhoff, Rawien Balesar, Jeroen W van Dongen, Chris G Kruse, Dick F Swaab, Joost Verhaagen.   

Abstract

Parkinson's disease (PD) is a neurodegenerative disorder characterized by the progressive loss of dopaminergic neurons in the substantia nigra. We have studied alterations in gene expression in the substantia nigra, the caudate nucleus and putamen of four PD patients and four matched controls using custom designed Agilent microarrays. To gain insight into changes in gene expression during early stages of dopaminergic neurodegeneration, we selectively investigated the relatively spared parts of the PD substantia nigra, and correlated gene expression changes with alterations in neuronal density. We identified changes in the expression of 287 transcripts in the substantia nigra, 16 transcripts in the caudate nucleus and four transcripts in the putamen. For selected transcripts, transcriptional alterations were confirmed with qPCR on a larger set of seven PD cases and seven matched controls. We detected concerted changes in functionally connected groups of genes. In the PD substantia nigra, we observed strong evidence for a reduction in neurotrophic support and alterations in axon guidance cues. As the changes occur in relatively spared parts of the PD substantia nigra, they suggest novel disease mechanisms involving neurotrophic support and axon guidance in early stages of cellular stress events, ultimately leading to dopaminergic cell death in PD.

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Year:  2008        PMID: 18462474     DOI: 10.1111/j.1750-3639.2008.00171.x

Source DB:  PubMed          Journal:  Brain Pathol        ISSN: 1015-6305            Impact factor:   6.508


  58 in total

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Journal:  Metab Brain Dis       Date:  2017-02-11       Impact factor: 3.584

2.  Identification of Neurexophilin 3 as a Novel Supportive Factor for Survival of Induced Pluripotent Stem Cell-Derived Dopaminergic Progenitors.

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Journal:  Stem Cells Transl Med       Date:  2015-06-03       Impact factor: 6.940

Review 3.  Molecular mechanisms of dopaminergic subset specification: fundamental aspects and clinical perspectives.

Authors:  Jesse V Veenvliet; Marten P Smidt
Journal:  Cell Mol Life Sci       Date:  2014-07-27       Impact factor: 9.261

Review 4.  Current status and future directions of gene expression profiling in Parkinson's disease.

Authors:  James G Greene
Journal:  Neurobiol Dis       Date:  2010-11-05       Impact factor: 5.996

5.  Repulsive Guidance Molecule a (RGMa) Induces Neuropathological and Behavioral Changes That Closely Resemble Parkinson's Disease.

Authors:  Joanna A Korecka; Elizabeth B Moloney; Ruben Eggers; Barbara Hobo; Sanny Scheffer; Nienke Ras-Verloop; R Jeroen Pasterkamp; Dick F Swaab; August B Smit; Ronald E van Kesteren; Koen Bossers; Joost Verhaagen
Journal:  J Neurosci       Date:  2017-08-21       Impact factor: 6.167

6.  Adhesive micro-line periodicity determines guidance of axonal outgrowth.

Authors:  Steven R Hart; Yu Huang; Thomas Fothergill; Derek C Lumbard; Erik W Dent; Justin C Williams
Journal:  Lab Chip       Date:  2013-02-21       Impact factor: 6.799

7.  SRRM2, a potential blood biomarker revealing high alternative splicing in Parkinson's disease.

Authors:  Lina A Shehadeh; Kristine Yu; Liyong Wang; Alexandra Guevara; Carlos Singer; Jeffery Vance; Spyridon Papapetropoulos
Journal:  PLoS One       Date:  2010-02-08       Impact factor: 3.240

Review 8.  Recent advances in our understanding of neurodegeneration.

Authors:  Kurt A Jellinger
Journal:  J Neural Transm (Vienna)       Date:  2009-06-05       Impact factor: 3.575

9.  A cross-study transcriptional analysis of Parkinson's disease.

Authors:  Greg T Sutherland; Nicholas A Matigian; Alistair M Chalk; Matthew J Anderson; Peter A Silburn; Alan Mackay-Sim; Christine A Wells; George D Mellick
Journal:  PLoS One       Date:  2009-03-23       Impact factor: 3.240

10.  Intensity-based analysis of dual-color gene expression data as an alternative to ratio-based analysis to enhance reproducibility.

Authors:  Koen Bossers; Bauke Ylstra; Ruud H Brakenhoff; Serge J Smeets; Joost Verhaagen; Mark A van de Wiel
Journal:  BMC Genomics       Date:  2010-02-17       Impact factor: 3.969

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