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Sample GSM3562185 Query DataSets for GSM3562185
Status Public on Jan 15, 2019
Title ET1_1 [miRNA-Seq]
Sample type SRA
 
Source name Mouse testicular peritubular myoid (PTM) cells
Organism Mus musculus
Characteristics treatment: 50 nM ET1, 5min
cell type: Mouse testicular peritubular myoid (PTM) cells
passage: Primary
strain: C57BL/6J
Treatment protocol PTM cells were treated with or without 50 nM ET1 in DMEM/F12 for 5 min at 37°C incubator.
Growth protocol The isolated PTM cells were cultured in DMEM/F12 containing 10% fetal bovine serum (FBS) at 37°C with 5% CO2.
Extracted molecule total RNA
Extraction protocol Total RNA (including small RNA) was extracted from the untreated PTM cells (PTM_1, _2, _3) and ET1-treated PTM cells (ET1_1, _2, _3) using TRNzol (Tiangen, Beijing, China).
Small RNA libraries were prepared for sequencing using standard BGI protocols
 
Library strategy miRNA-Seq
Library source transcriptomic
Library selection size fractionation
Instrument model BGISEQ-500
 
Description Total RNA (including small RNA)
Data processing Experiment Pipeline Steps for Small RNA Sequencing: 1) Filter small RNA: separate 18-30nt RNA segment by PAGE gel. 2) 3' adaptor ligation: link 5-adenylated, 3-blocked single-stranded DNA adapter to 3' end of selected small RNAs from step 1. 3) Reverse primer annealing: the RT primer is added to the solution from step 2, and is cross-linked to the 3' adapter of RNAs and excessive free 3' adapter. 4) 5' adaptor ligation: the 5' adaptor is linked to the 5' end of the product from step 3. The connection (5鈥 adaptor) will be attached to the 5鈥 end only, but it is not c onnected to the 3' adaptor or RT primer hybrid chain. This greatly reduces self-ligation. 5) Strand cDNA synthesis: reverse extend the RT primer in step 3 to synthetize strand cDNA. 6) PCR amplification: use high-ping polymerase to amplify cDNA, enrich cDNA with both 3' and 5' adaptor. 7) Library fragment selection: separate the PCR product of 100~120bp by PAGE gel to eliminate primer-dimer and other byproducts. 8) Library quantitative and pooling cyclization.
Bioinformatics Analysis Pipeline for Small RNA Sequencing: 1. Eliminate the low-quality reads, adaptors and other contaminants to get clean reads 2. Summarize the length distribution of the clean tags, common and specific sequences between samples 3. Annotate the clean tags into different categories 4. Predict the novel miRNA 5. Function annotation of known miRNAs
Data Filtering: 1) Remove low quality tags 2) Remove tags with 5' primer contaminants 3) Remove tags without 3' primer 4) Remove tags without insertion 5) Remove tags with poly A 6) Remove tags shorter than 18nt 7) Summarize the length distribution of the clean tags. After filtering, the remaining tags are called 'clean tags' and stored in FASTQ format.
Reads Mapping: Bowtie2 : -q -L 16 --phred64 -p 6 cmsearch: --cpu 6 --noali
sRNA Classification: MiRbase > pirnabank > snoRNA(human/plant) > Rfam > other sRNA. sRNA Prediction: miRDeep2, Piano,
DEGseq: Fold Change >= 2 and Adjusted Pvalue <= 0.001
Genome_build: mm10
Supplementary_files_format_and_content: Including RPKM values for each sample
 
Submission date Jan 14, 2019
Last update date Jan 16, 2019
Contact name Su-Ren Chen
E-mail(s) chensuren@ioz.ac.cn
Organization name Institute of Zoology, Chinese Academy of Sciences
Department State Key Laboratory of Stem Cell and Reproductive Biology
Street address 1Beichen West Road, Chaoyang District
City Beijing
ZIP/Postal code 100101
Country China
 
Platform ID GPL23479
Series (2)
GSE125074 Effect of endothelin-1 (ET-1) on mouse testicular peritubular myoid cells [miRNA-Seq]
GSE125075 Effect of endothelin-1 (ET-1) on mouse testicular peritubular myoid cells
Relations
BioSample SAMN10742062
SRA SRX5248791

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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