Identification of dysregulated genes after deletion of miR-1-1 and miR-1-2
Transcriptomics Dataset
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General Information
AccessionGSE45760
TitleIdentification of dysregulated genes after deletion of miR-1-1 and miR-1-2
DescriptionPurpose: The goals of this study are to identify dysregulated mRNAs in the heart after deletion of miR-1-1 and miR-1-2. Methods: Total RNAs were extracted from hearts at embryonic E15.5 (E15.5) or postnatal 2.5 days (P2.5) of miR-1s dHET and miR-1s dKO mice. mRNAs were purified using a poly-A selection approach and sequenced using Illumina HiSeq 2000. The sequence reads were aligned to the mouse reference genome (NCBI Build 37/mm9) using TopHat program (Bowtie algorithm). Transcript assembles and identification of differentially expressed genes were achieved using Cufflinks package. To account for expression bias due to transcript length, each sample transcript expression was normalized by using cufflinks algorithm with a FDR of 0.05. Results: Using 1.5-fold change as a cutoff, 997 and 653 transcripts were found to be upregulated and downregulated, respectively, in miR-1s dKO heart at P2.5. 423 transcripts were found to be upregulated and 653 were down-regulated in miR-1s dKO heart at E15.5. Many upregulated genes are directly involved in a fetal gene program. Conclusions: miR-1 directly represses a fetal gene program.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45760
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE45760
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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