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Series GSE87174 Query DataSets for GSE87174
Status Public on Sep 21, 2017
Title Genome-wide expression patterns of microRNAs in ground state embryonic stem cells
Organism Mus musculus
Experiment type Non-coding RNA profiling by high throughput sequencing
Summary We apply deep small-RNA sequencing technology for high-throughput profiling of microRNAs in ground state embryonic stem cells (ESCs). We provide global expression signatures of microRNAs in ESCs cultured under serum, 2i, and R2i conditions. We report that microRNAs are significantly differentially expressed when ESCs are cultured under different conditions, and that ground state pluripotency features a uniqure microRNA signature which is mainly encoded by microRNA-coding sequences within the developmentally important DLK1-Dio3 locus. Finally, we indicate that microRNA upregulated in ground state pluripotent cells (i.e. 2i/R2i) contribute to the maintenace of ground state pluripotency through stimulating self-renewal and inhibiting multi-lineague differentiation.
 
Overall design Comprehensive expression analysis of microRNAs in serum, 2i, and R2i mouse ESCs using small RNA sequencing.
 
Contributor(s) Moradi S, Sharif-Zarchi A, Mollamohammadi S, Stubenvoll A, Günther S, Hosseini-Salekdeh G, Asgari S, Braun T, Baharvand H, Ahmadi A
Citation(s) 29129685
BioProject PRJNA343212
Submission date Sep 21, 2016
Last update date Jun 11, 2019
Contact name Ali Sharifi-Zarchi
E-mail(s) asharifiz@gmail.com
Organization name Royan Institute for Stem Cell Biology and Technology
Street address Royan Institute, Bani Hashem Sq.
City Tehran
ZIP/Postal code P.O. Box: 16635-148
Country Iran
 
Platforms (1)
GPL22473 Illumina Genome Analyzer Iix (Mus musculus)
Samples (6)
GSM2323857 mESC_R2i_RB18
GSM2323858 mESC_R2i_RB20
GSM2323859 mESC_2i_RB18
Relations
SRA SRP090002

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SOFT formatted family file(s) SOFTHelp
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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE87174_FeatureCounts.txt.gz 14.5 Kb (ftp)(http) TXT
GSE87174_NormalizedExpression.txt.gz 13.2 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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