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Series GSE24498 Query DataSets for GSE24498
Status Public on Jan 04, 2011
Title Deep sequencing of the locust Locusta migratoria manilensis central nervous system transcriptome
Organism Locusta migratoria manilensis
Experiment type Expression profiling by high throughput sequencing
Summary We report the application of single-molecule-based sequencing technology for high-throughput profiling of nervous system in locust Locusta migratoria manilensis. By obtaining over 57,000,000 bases of sequence from central nervous system, we generated 101836 contigs and 69440 scaffolds. We finally get 41179 unigene with an average length of 570bp. There are 5519 unigenes beyond the length of 1000bp. Using BLAST searches of the NR, NT, Swiss-Prot, KEGG and COG databases we are able to identify 13552 unigene (E<0.0001). Comprehensive assessment of all the unigenes by comparing with the studied genes of other insects nervous system reveals that our unigene are broadly representative of the transcriptome of insect nervous system. Our data provides the most large-scale EST-project for locust nervous system, which greatly benefits the exploring of this insect. In addition, we identify a large number of novel nervous genes which can be used in systematic studies of locust and other insects.
 
Overall design Examination of 1 sample
 
Contributor(s) Zhang Z, Peng Z, Cheng Y, Xia Y
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Submission date Oct 04, 2010
Last update date May 15, 2019
Contact name Zhengyi Zhang
E-mail(s) zhy_zhang@yahoo.cn
Organization name Chongqing University
Street address Shapinba
City Chongqing
ZIP/Postal code 400044
Country China
 
Platforms (1)
GPL11245 Illumina HiSeq 2000 (Locusta migratoria manilensis)
Samples (1)
GSM603235 Locusta_nerve
Relations
SRA SRP006215
BioProject PRJNA132501

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE24498_RAW.tar 7.0 Mb (http)(custom) TAR (of FA)
SRA Run SelectorHelp
Processed data provided as supplementary file
Raw data are available in SRA

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