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Sample GSM5945518 Query DataSets for GSM5945518
Status Public on Mar 14, 2022
Title gastric cancer cells SNU_cell_rep2
Sample type SRA
Source name gastric epithelial cells
Organisms Homo sapiens; human gammaherpesvirus 4
Characteristics ebv status: positive
tissue: Stomach
treatment: untreated
cell line: SNU-719
rna population: whole cell
Treatment protocol No special treatment other than growth protocol described above was conducted.
Growth protocol SNU-719 (EBV positive gastric cancer cell line) and AGS (EBV negative gastric cancer cell line) were cultured in RPMI-1640 and F12, respectively. 5% fetal bovine serum without exosomes and penicillin and streptomycin (100U/ mL) were added into the culture medium before use. When the cells grow vigorously (with a degree of fusion up to about 70%), the supernatant is collected.
Extracted molecule total RNA
Extraction protocol Total RNA was extracted from cells and exosomes using the high pure RNA extraction kit (TRIzol) in accordance with the manufaxturer’s protocol. The OD260 and OD280 values and ratios of 1μL extracted samples were determined by ultraviolet spectrophotometer to determine the concentration and purity of extracted samples.
Approximately 1 μg of total RNA from each sample was used to prepare the miRNA sequencing library. The strips between 17 and 32 nt were cut by polyacrylamide gel electmphoresis(PAGE) and the products were recycled. T4 RNA ligase (Epicenter, San Diego, CA, USA) was used to connect the isolated small RNA to the 3' end and then the isolated small RNA to the 5 'end using the same method. The sRNA connected by the connector was used as the template for RT-PCR, and the single-stranded cDNA template was amplified into double-stranded cDNA, and then PCR amplification was conducted. Then the gel was cut and the target fragment library was recycled. The constructed library was used to detect quality and yield using Agilent 2100 Bioanalyzer and ABI StepOnePlus Real Time PCR System. The library with qualified quality test was sequenced.
Library strategy miRNA-Seq
Library source transcriptomic
Library selection size fractionation
Instrument model Illumina HiSeq 2500
Description non-coding RNA
Data processing remove adapter, poly Ns, reads samller than 17 nts with fastqc
using miRDeep2, we align clean reads against sequences in miRBase22 library to predict known miRNA expression.
The expression levels were normalized to RPM (Reads per Million), that is number of reads mapping to miRNA/ number of reads in Clean data)×1000000
Differential expressed miRNAs were calculated using edgeR, and filtered using |log2(Fold Change)| >= 1 and p-value < 0.05
Assembly: miRBase22(reads were blasted directly against library)
Supplementary files format and content: comma seprated values; expressions of human miRNAs in RPM
Supplementary files format and content: comma seprated values; expressions of EBV miRNAs in RPM
Submission date Mar 10, 2022
Last update date Mar 15, 2022
Contact name Sheng Zhang
Organization name The First Affiliated Hospital of Fujian Medical University
Department Department of Pathology
Street address 20 Cha Zhong Lu
City Fuzhou
State/province Fujian
ZIP/Postal code 350004
Country China
Platform ID GPL23185
Series (1)
GSE198354 Study on the Expression of miRNA in Exosome of EBV-positive Gastric Carcinoma Cells
BioSample SAMN26564863
SRA SRX14429793

Supplementary data files not provided
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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