NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Sample GSM824794 Query DataSets for GSM824794
Status Public on Jan 17, 2012
Title CGN1
Sample type SRA
 
Source name cerebellar granular neurons (CGNs)
Organism Mus musculus
Characteristics strain: C57bl/6j
age: P8
growth: 16 hours in vitro
cell type: cerebellar granular neurons (CGNs)
Growth protocol Cells were grown on a Poly-d-lysine (100 ug/mL) and Laminin (5 ug/mL) substrate
Extracted molecule polyA RNA
Extraction protocol Poly-A selection. RNA was prepared for Next Generation Sequencing following the Illumina mRNA Sample Preparation Guidelines (Illumina, Cat # RS-930-1001)
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina Genome Analyzer II
 
Description Poly-A RNAs from P8 mice CGN neurons in culture
Data processing Alignment: Tophat software with default settings except for the following options: –G option which supplies Tophat with gene model annotation (combined UCSC, Ensembl, and RefSeq annotations) and –i 50 which sets the minimum intron length to 50
Transcript reconstruction and expression estimation: Cufflinks software. At first Cufflinks uses the aligned reads in the dataset to describe a set of transcripts starting from the reads that span splice-junctions. We ran this step using a non-annotated reference genome because without an annotation the software will assemble novel transcripts and isoforms. After transcript assembly, normalized expression levels are estimated and reported as FPKM (Fragments Per Kilobase of exon per Million fragments mapped) together with confidence intervals. A different part of the software, named Cuffcompare (version 0.8.3) classified the reconstructed RNA-species as novel or known according to how they map back to the provided reference annotation. Cuffcompare was run twice, first with a combined reference GTF generated from crossing annotated transcripts found in the UCSC Genome, the Ensembl, and the RefSeq database. We combined three genome annotations in an effort to minimize falsely identified novel transcripts. UCSC was used as the base since it contained the highest number of annotated RNA species; all non overlapping annotations found in the other databases were added. We reran Cuffcompare in order to improve the accuracy of read alignment and therefore transcript expression estimation (personal communications with Cole Trapnell). The nature of the alignment of the reconstructed RNA-specie and the annotated element is reported according to a code letter. For our purposes we isolated from the output only the “=”, “j” and “u” classes (corresponding to a “perfect match” to a known RNA-molecule, new isoforms of known active locus, and to full transcripts never identified before ). We ran Cuffcompare a 2nd time after adding annotation for unknown and novel transcripts assembled by Cufflinks.
Differential expression test: Cuffdiff. Cuffdiff determined statistical significance based on the square root of the Jensen-Shannon divergence between the relative abundance of transcripts. Significance was reported as an uncorrected p-value, and then classified as significant/not –significant after Benjamini-Hochberg correction of the p-value.
Peak data (.bedgraph files) based on mm9 genome build.
 
Submission date Oct 31, 2011
Last update date May 15, 2019
Contact name Dario Motti
Organization name Nationwide Children's Hospital
Department Research
Lab Kaspar
Street address 700 Childrens Drive
City Columbus
State/province Ohio [OH]
ZIP/Postal code 43205
Country USA
 
Platform ID GPL9250
Series (1)
GSE33343 Isoform diversity and regulation in peripheral and central neurons revealed through RNA-Seq
Relations
Reanalyzed by GSE80797
SRA SRX103964
BioSample SAMN00744939

Supplementary file Size Download File type/resource
GSM824794_CGN1_coverage.bedgraph.gz 182.6 Mb (ftp)(http) BEDGRAPH
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file
Processed data are available on Series record

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