Microarray Analysis of Transcriptome of Medulla Identifies Potential Biomarkers for Parkinson’s Disease

Table 1

Relevant miRNAs for the 365 common differentially expressed genes.

miRNA	DB_Num	Parameters
hsa_GGCAGCT, MIR-22	DB_ID:780	𝑂=13; raw𝑃=8.79𝑒−08; adj𝑃=1.76𝑒−06
hsa_TGAATGT, MIR-181A, MIR-181B, MIR-181C, MIR-181D	DB_ID:669	𝑂=16; raw𝑃=3.73𝑒−06; adj𝑃=2.56𝑒−05
hsa_GCAAAAA, MIR-129	DB_ID:798	𝑂=10; raw𝑃=3.84𝑒−06; adj𝑃=2.56𝑒−05
hsa_TGGTGCT, MIR-29A, MIR-29B, MIR-29C	DB_ID:671	𝑂=16; raw𝑃=9.23𝑒−06; adj𝑃=4.61𝑒−05
hsa_TTTTGAG, MIR-373	DB_ID:844	𝑂=10; raw𝑃=2.08𝑒−05; adj𝑃=8.32𝑒−05
hsa_TGCTTTG, MIR-330	DB_ID:843	𝑂=12; raw𝑃=2.76𝑒−05; adj𝑃=9.20𝑒−05
hsa_TTGCACT, MIR-130A, MIR-130B	DB_ID:676	𝑂=13; raw𝑃=3.80𝑒−05; adj𝑃=0.0001
hsa_TATTATA, MIR-374	DB_ID:727	𝑂=10; raw𝑃=0.0002; adj𝑃=0.0005

DB_Num: number assigned by the database; 𝑂: number of differentially expressed genes regulated by the miRNA; raw𝑃: initial 𝑃 value calculated according to the hypergeometric distribution; adj𝑃: 𝑃 value after adjusted with the Benjamini-Hochberg correction method.