NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Sample GSM997979 Query DataSets for GSM997979
Status Public on Dec 11, 2013
Title Sample_B2
Sample type SRA
 
Source name growth-arrested
Organism Homo sapiens
Characteristics cell line: MCF-7
cell type: breast cancer
Growth protocol MCF-7 cells were either maintained in Dulbecco’s modified Eagle medium (DMEM) supplemented with 10% FBS, antibiotics (100U/ml penicillin, 100mg/ml streptomycin, 250ng/ml Amfotericin-B), 50µg/ml G418 (standard growth conditions) or hormone deprived (starvation). Starvation was performed by culturing in DMEM w/o phenol red and 5% Dextran Coated Charcoal stripped serum (DCC-FBS) for 5 days, as described earlier.
Extracted molecule total RNA
Extraction protocol Total RNA was extracted from MCF-7 wt using the standard RNA Extraction method with TRI Reagent (Sigma) method. 7.5μg of total RNA was used in a library preparation according to the Illumina TruSeq small RNA sample preparation protocol.
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection size fractionation
Instrument model Illumina Genome Analyzer IIx
 
Data processing Basecalls was performed using CASAVA version 1.8
Adapter sequence was removed using PERL script named "Adapter_trim.pl" downloaded from miRTools and held in iMir package.
To predict novel miRNAs iMir uses miRDeep2, while miRAnalyzer version 0.3 was used for the identification of known miRNAs.
Differential expression analisys of known miRNAs was done using DESEQ 1.0.6 package from R Bioconductor setting a p-value ≤ 0.05 and a fold-change ≤-1.5 and ≥1.5
Target prediction was performed using Target Scan and microRNA.org.
Genome_build: hg19
Supplementary_files_format_and_content: Tab-delimited text files represent known mature miRNAs. They were generated using miRAnalyzer version 0.3 and then filtered for readcount cut-off ≥5.
 
Submission date Sep 05, 2012
Last update date May 15, 2019
Contact name Maria Rosaria De Filippo
E-mail(s) [email protected]
Organization name University of Salerno
Street address Via Allende 1
City Baronissi
ZIP/Postal code 84081
Country Italy
 
Platform ID GPL10999
Series (1)
GSE40617 iMir: An integrated pipeline for high-throughput miRNA-Seq data analysis
Relations
SRA SRX183073
BioSample SAMN01162137

Supplementary file Size Download File type/resource
GSM997979_Sample_B2_mature_unique.txt.gz 6.9 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap