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Series GSE72962 Query DataSets for GSE72962
Status Public on Mar 16, 2016
Title microRNA profiles in Parkinson’s disease prefrontal cortex
Organism Homo sapiens
Experiment type Non-coding RNA profiling by high throughput sequencing
Third-party reanalysis
Summary Objective. The goal of this study was to examine the microRNA (miRNA) profile of Parkinson’s disease (PD) frontal cortex as compared to normal control brain, allowing for the identification of PD specific signatures as well as the study of disease-related phenotypes, such as onset age or dementia
Methods. Small RNA sequence analysis was performed from prefrontal cortex for 29 PD samples and 33 control samples. After sample QC, normalization and batch correction, linear regression was used to identify miRNAs altered in PD, and a PD classifier was developed using weighted voting class prediction. The relationship of miRNA levels to onset age and PD with dementia (PDD) was also characterized in case-only analyses.
Results. 125 miRNAs were differentially expressed in PD at a genome-wide level of significance (FDR q<0.05). A set of 29 miRNAs classified PD from non-diseased brain (93.9% specificity, 96.6% sensitivity). The majority of differentially expressed miRNAs (105/125) showed an ordinal relationship from control, to PD without dementia (PDN), to PDD. Among PD brains, 36 miRNAs classified PDD from PDN (sensitivity =81.2%, specificity =88.9%). Among differentially expressed miRNAs, miR-10b-5p had a positive association with onset age (q=4.7e-2).
Conclusions. Based on cortical miRNA levels, PD brains were accurately classified from non-diseased brains. Additionally, the PDD miRNA profile exhibited a more severe pattern of alteration among those differentially expressed in PD. To evaluate the clinical utility of miRNAs as potential clinical biomarkers, further characterization and testing of brain-related miRNA alterations in peripheral biofluids is justified.
 
Overall design 29 Parkinson's disease prefrontal cortex samples analyzed with 33 control samples from Series GSE64977. The adapter sequence from the sample prep TGGAATTCTCGGGTGCCAAGG.
 
Contributor(s) Hoss AG, Myers RH, Labadorf A, Latourelle J
Citation(s) 26973511, 27716130
Submission date Sep 11, 2015
Last update date Jul 15, 2019
Contact name Adam Labadorf
E-mail(s) labadorf@bu.edu
Organization name Boston University Medical School
Department Neurology
Street address 72 East Concord Street E301
City Boston
State/province MA
ZIP/Postal code 02118
Country USA
 
Platforms (1)
GPL15433 Illumina HiSeq 1000 (Homo sapiens)
Samples (29)
GSM1875443 P_0003
GSM1875444 P_0006
GSM1875445 P_0012
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BioProject PRJNA295431
SRA SRP063627

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Supplementary file Size Download File type/resource
GSE72962_PD_C_DESeq2_norm_cnts_VST_batch_adj.csv.gz 435.8 Kb (ftp)(http) CSV
GSE72962_PD_miRNA_regression_results.csv.gz 43.2 Kb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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