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Sample GSM5692395 Query DataSets for GSM5692395
Status Public on Jan 19, 2022
Title G_5_GSP_7_tumor_30_M.txt
Sample type RNA
 
Source name Plasma exosomes
Organism Homo sapiens
Characteristics tissue: Plasma exosomes
patient diagnosis: GSD1a
molecule subtype: microRNA
Extracted molecule total RNA
Extraction protocol Exosomes isolation and RNA extraction from plasma 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 Exo-miR were analyzed by the TaqMan Array Card Technology. Exo-miR were reverse transcribed with the TaqMan microRNA Reverse Transcription Kit, using the MegaplexTM 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 ViiATM 7 Real-Time PCR System.
 
Hybridization protocol n/a
Scan protocol n/a
Description GSD1a
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 rank product method implemented by RankProd R package was used to identify significant differentially expressed microRNA.
non-normalized 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 Nov 16, 2021
Last update date Jan 19, 2022
Contact name Roberta Resaz
E-mail(s) robertaresaz@gaslini.org
Organization name IRCCS Istituto Giannina Gaslini
Lab Laboratory of Molecular Biology
Street address via Gerolamo Gaslini 5
City Genova
ZIP/Postal code 16147
Country Italy
 
Platform ID GPL17039
Series (1)
GSE188956 EXOSOMAL microRNAs AS POTENTIAL BIOMARKERS OF HEPATIC INJURY AND KIDNEY DISEASE IN GLYCOGEN STORAGE DISEASE TYPE IA PATIENTS.

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

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