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Sample GSM5743686 Query DataSets for GSM5743686
Status Public on Dec 30, 2022
Title CTR 46
Sample type RNA
 
Source name Plasma extracellular vesicles
Organism Homo sapiens
Characteristics tissue: Plasma extracellular vesicles
disease state: healthy control
molecule subtype: microRNA
Extracted molecule total RNA
Extraction protocol Extracellular vesicles (EV) isolation and RNA extraction from plasma and synovial fluid was performed with the exoRNeasy Serum/Plasma Midi kit (Qiagen Italia, Milano, Italy).
Label Applied Biosystems Human TaqMan Low Density Array (TLDA, v2.0) (Card A)
Label protocol EV-miR were analyzed by the TaqMan Array Card Technology. EV-miR were reverse transcribed with the TaqMan microRNA Reverse Transcription Kit, using the Megaplex RT primers Human Pool A (Thermo Fisher Scientific, Monza, MB, Italy). Pre-amplification of cDNA was performed with TaqMan PreAmp Master Mix and MegaplexTM Pre-Amp primers Human Pool A. The pre-amplification product was diluted according to the manufacturer’s instructions and used to perform microRNA profiling on the ViiA 7 Real-Time PCR System.
 
Hybridization protocol n/a
Scan protocol n/a
Description Healthy controls
Data processing Data processing, categorization, normalization, filtering, imputation and differential expression was carried out by PIPE-T galaxy tool. Ct values falling within the range 14-32 were categorized as reliable values as recommended by the manufacturer guidelines. Global mean normalization was used to reduce any technical variability introduced in the data by the RT-qPCR experiments. Only Exo-miR with at most 20% of missing values were retained for the analysis to reduce the bias introduced by imputation. Mestdagh method was employed to assign a numeric expression value to missing values. The fold change and t test method was used to identify significant differentially expressed microRNA.
non-normalized data file reports raw Ct values. Ct value of 40 indicates a missing value. Normalized data file reports delta Ct values (Ct – sample mean expression ). NA value indicates a missing value.
 
Submission date Dec 20, 2021
Last update date Dec 30, 2022
Contact name Federica Raggi
E-mail(s) federicaraggi@gaslini.org
Organization name IRCCS Istituto Giannina Gaslini
Lab Molecular biology
Street address via genrolamo gaslini, 5
City Genova
ZIP/Postal code 16147
Country Italy
 
Platform ID GPL19079
Series (1)
GSE191326 Extracellular vesicle microRNA profiling in synovial fluids and plasma from Oligoarticular Juvenile Idiopathic Arthritis patients: methodological challenges and identification of putative disease biomarkers

Supplementary data files not provided
Processed data are available on Series record

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