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Whole genome expression profiling of the medial and lateral substantia nigra in Parkinson’s disease

Moran, L. B., Duke, Dawn, Deprez, M., Dexter, D. T., Pearce, R. K. B. and Graeber, M. B. (2006) Whole genome expression profiling of the medial and lateral substantia nigra in Parkinson’s disease Neurogenetics, 7 (1). pp. 1-11.

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Abstract

We have used brain tissue from clinically well-documented and neuropathologically confirmed cases of sporadic Parkinson’s disease to establish the transcriptomic expression profile of the medial and lateral substantia nigra. In addition, the superior frontal cortex was analyzed in a subset of the same cases. DNA oligonucleotide microarrays were employed, which provide whole human genome coverage. A total of 570 genes were found to be differentially regulated at a high level of significance. A large number of differentially regulated expressed sequence tags were also identified. Levels of mRNA sequences encoded by genes of key interest were validated by means of quantitative real-time polymerase chain reaction (PCR). Comparing three different normalization procedures, results based on the recently published GeneChip Robust Multi Array algorithm were found to be the most accurate predictor of real-time PCR results. Several new candidate genes which map to PARK loci are reported. In addition, the DNAJ family of chaperones is discussed in the context of Parkinson’s disease pathogenesis.

Item Type: Article
Divisions : Researcher Development Programme
Authors :
NameEmailORCID
Moran, L. B.UNSPECIFIEDUNSPECIFIED
Duke, DawnD.Duke@surrey.ac.ukUNSPECIFIED
Deprez, M.UNSPECIFIEDUNSPECIFIED
Dexter, D. T.UNSPECIFIEDUNSPECIFIED
Pearce, R. K. B.UNSPECIFIEDUNSPECIFIED
Graeber, M. B.UNSPECIFIEDUNSPECIFIED
Date : March 2006
Identification Number : https://doi.org/10.1007/s10048-005-0020-2
Copyright Disclaimer : © Springer-Verlag 2006
Uncontrolled Keywords : GC-RMA algorithm; Microarrays; Neurodegeneration; Pathway definition; Transcriptome signature
Depositing User : Clive Harris
Date Deposited : 20 Jun 2017 11:11
Last Modified : 20 Jun 2017 11:11
URI: http://epubs.surrey.ac.uk/id/eprint/841437

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