NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE134461 Query DataSets for GSE134461
Status Public on Jul 19, 2019
Title Super deepSAGE sequencing of normal porcine tissues
Organism Sus scrofa
Experiment type Expression profiling by high throughput sequencing
Summary High-density gene expression profile of 70,000+ unique genes for 224 normal porcine samples from 28 different tissues of 32 different animals using Super deepSAGE sequencing technology.
 
Overall design A total of 224 tissue samples across 28 different tissues/cells were collected from a slaughtering farm located in Hubei province in china. The samples were collected from 32 animals from a Duroc × Landrace × Yorkshare (DLY) commercial crossbreed pig populations consisting of 16 males and 16 females with a median age of 21 days. The endometrium, placenta, and conceptus were collected from Landrace × Yorkshare (LY) sows of 65 days of gestation. Total RNA were extracted and the libraries were construsted using Super deepSAGE technology and submitted for deep sequencing.
 
Contributor(s) Huang T, Yao M
Citation(s) 32171242
Submission date Jul 18, 2019
Last update date Mar 23, 2020
Contact name Tinghua Huang
E-mail(s) thua45@yangtzeu.edu.cn
Phone 8613397215027
Organization name Yangtze University
Street address Jingmi Road #266
City Jingzhou
ZIP/Postal code 434025
Country China
 
Platforms (1)
GPL11429 Illumina HiSeq 2000 (Sus scrofa)
Samples (224)
GSM3948831 AC_1
GSM3948832 AC_2
GSM3948833 AC_3
Relations
BioProject PRJNA555410
SRA SRP215417

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
GSE134461_Processed_data.txt.gz 7.3 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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