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Sample GSM2898254

Query DataSets for GSM2898254

Status

Public on Dec 26, 2018

Title

BgnFru_2

Sample type

SRA

Source name

mouse hippocampus

Organism

Mus musculus

Characteristics

strain: C57BL/6
gender: male
genotype/variation: Bgn gene knockout (Bgn0/-)
tissue: hippocampus

Extracted molecule

total RNA

Extraction protocol

Total RNA was extracted with Qiagen AllPrep DNA/RNA Mini Kit. Quantity and quality of RNA were checked using Nanodrop (Thermo Fisher Scientific, MA, USA), Bioanalyzer (Agilent Technologies, CA, USA) and Qubit RNA assay (Life Technologies, NY, USA).
The RNA-Seq libraries were prepared followed the standard Illumina protocol (http://support.illumina.com/sequencing/documentation.ilmn). Briefly, about 1,000 ng total RNA was first enriched for mRNA by poly-A selection, then fragmented, and reverse transcribed using random hexamer-primers to generate first-strand cDNA. Second-strand cDNA was then generated using RNase H and DNA polymerase. Fragments of 200-400 bp in size were next enriched through PCR and multiplex barcodes were also added. Sequencing was performed on HiSeq 2500 (Illumina Inc, CA, USA). Data quality check was done on Sequencing Analysis Viewer and demultiplexing was performed with CASAVA 1.8.2 (Illumina Inc, CA, USA).

Library strategy

RNA-Seq

Library source

transcriptomic

Library selection

cDNA

Instrument model

Illumina HiSeq 2500

Description

replicate 2

Data processing

Paired-end RNA-Seq reads were analyzed using the Tuxedo tool package comprised of Tophat/Bowtie, Cufflinks, and Cuffdiff. Specifically, we used TopHat2/Bowtie2 which allows alignment across splice junctions to map reads to the mouse genome (UCSC assembly 10) and to discover transcript splice sites. Cufflinks were then used to assemble the aligned reads onto transcripts, and Cuffdiff was used to compare the aligned reads between different treatment groups to identify genes and gene transcripts that are differentially expressed. Multiple hypothesis testing was corrected using the Benjamini-Hochberg method to estimate false discover rate (FDR).
Genome_build: mm10
Supplementary_files_format_and_content: tab-delimited text files include FPKM values and status ("FAIL","HIGHDATA","LOWDATA","OK",etc.) for each sample

Submission date

Dec 22, 2017

Last update date

Dec 27, 2018

Contact name

Xia Yang

E-mail(s)

xyang123@ucla.edu

Organization name

UCLA

Department

IBP