exRNAdisease

Entry Detail

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General Information

Database ID: exR0354937 RNA Name: hsa-miR-938 RNA Type: miRNA Chromosome: chr10 Starnd: - Coordinate: Start Site(bp): 29602311 End Site(bp): 29602332 External Links: hsa-miR-938

Disease Information

Disease Name: Glioblastoma Multiforme Disease Category: Cancers MeSH ID: D005909 Type: Neoplasms/Neoplasms, Glandular and Epithelial Alias: Glioblastoma//Glioblastomas//Astrocytoma, Grade IV//Astrocytomas, Grade IV//Grade IV Astrocytoma//Grade IV Astrocytomas//Glioblastoma Multiforme//Giant Cell Glioblastoma//Giant Cell Glioblastomas//Glioblastoma, Giant Cell//Glioblastomas, Giant Cell

Expression Detail

GEO ID: GSE93850 Description: Serum miRNAs in Patients with Glioblastoma Multiforme Experimental Design: Cancer vs Control Case Disease Type: Glioblastoma Multiforme Case Disease SubType: NA Case Sample: Glioblastoma Multiforme Control Sample: Healthy Number of Case: 22 Number of Control: 8 Number of Samples: 30

Regulatory Relationship

mRNA targets: NA miRNA targets: NA circRNA targets: NA lncRNA targets: NA Display: N/A

Experiment Detail

GEO ID: GSE93850 Sample Source: Blood Source Fraction: Serum Platform: GPL22948 Method: Microarray Num of detected RNA Type: 1 Num of detected RNAs of this Type: 1032 Sample treatment protocol: NA RNA Extract protocol: Serum total RNA was isolated from serum samples using the Plasma/Serum Circulating and Exosomal RNA Purification Mini Kit (Slurry Format) (Norgen Biotek Corporation, Thorold, Ontario, Canada) RNA library preparation protocol: 0.3ug of total RNA of intrahepatic cholangiocarcinoma/normal intrahepatic bile duct tissue was employed with 100 nmol/L of pCp-DY547 (Dharmacon, Lafayette, CO, USA) and 15 Units of T4 RNA ligase (USB, Cleveland, Oh, USA) in a total reaction volume of 20 ul at 16°C overnight.

Reference

PMID: 28931080 Title: Low serum level of miR-485-3p predicts poor survival in patients with glioblastoma Author: Wang ZQ, Zhang MY, Deng ML, Weng NQ, Wang HY,Wu SX Journal: PLoS One. 2017 Sep 20;12(9):e0184969. Description: we investigated whether 3 of the 19 miRNAs in serum could be used as prognostic biomarkers for patients with GBM.