Abstract

BackgroundParkinson's disease (PD) is a progressive neurodegenerative disorder that affects about five million people worldwide. Diagnosis remains clinical, based on phenotypic patterns. The discovery of laboratory markers that will enhance diagnostic accuracy, allow pre-clinical detection and tracking of disease progression is critically needed. These biomarkers may include transcripts with different isoforms.Methodology/Principal FindingsWe performed extensive analysis on 3 PD microarray experiments available through GEO and found that the RNA splicing gene SRRM2 (or SRm300), sereine/arginine repetitive matrix 2, was the only gene differentially upregulated among all the three PD experiments. SRRM2 expression was not changed in the blood of other neurological diseased patients versus the healthy controls. Using real-time PCR, we report that the shorter transcript of SRRM2 was 1.7 fold (p = 0.008) upregulated in the substantia nigra of PDs vs controls while the longer transcript was 0.4 downregulated in both the substantia nigra (p = 0.03) and amygdala (p = 0.003). To validate our results and test for the possibility of alternative splicing in PD, we performed independent microarray scans, using Affymetrix Exon_ST1 arrays, from peripheral blood of 28 individuals (17 PDs and 11 Ctrls) and found a significant upregulation of the upstream (5′) exons of SRRM2 and a downregulation of the downstream exons, causing a total of 0.7 fold down regulation (p = 0.04) of the long isoform. In addition, we report novel information about hundreds of genes with significant alternative splicing (differential exonic expression) in PD blood versus controls.Conclusions/SignificanceThe consistent dysregulation of the RNA splicing factor SRRM2 in two different PD neuronal sources and in PD blood but not in blood of other neurologically diseased patients makes SRRM2 a strong candidate gene for PD and draws attention to the role of RNA splicing in the disease.

Highlights

  • The diagnosis of Parkinson’s disease (PD) remains purely clinical and is based on the phenotypic expression of three cardinal clinical signs in the absence of symptoms and signs indicative of other neurological diseases

  • While this approach deals with a huge variability factor, the strength of the approach lies in using evidence in multiple PD datasets that may be very different in etiology, cause, and tissue source

  • Among the intriguing overlaps that emerged from our analysis are the following: SNCA, a PD-associated gene involved in microglial cell activation and synaptic transmission, was significantly downregulated in both the substantia nigra and blood in PD patients versus controls

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Summary

Introduction

The diagnosis of Parkinson’s disease (PD) remains purely clinical and is based on the phenotypic expression of three cardinal clinical signs (bradykinesia, tremor and rigidity) in the absence of symptoms and signs indicative of other neurological diseases. We thoroughly analyzed three publicly available PD datasets generated from a rotenone-treated neuroblastoma line[12], postmortem substantia nigra from PD patients and controls[2], and lymphocytes from PD patients and controls[11] While this approach deals with a huge variability factor, the strength of the approach lies in using evidence in multiple PD datasets that may be very different in etiology, cause, and tissue source. The discovery of laboratory markers that will enhance diagnostic accuracy, allow pre-clinical detection and tracking of disease progression is critically needed. These biomarkers may include transcripts with different isoforms

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