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Title: Characterization of gene expression involved in pig reproduction      
dateReleased:
08-06-2015
description:
Purpose: Recent development in high-throughput sequencing techniques (RNA-seq) has enabled large scale analysis of genetic variations and gene expression in different tissues and species, but gene expression patterns and genetic variations in livestock have not yet been well characterized. In this study we have used high-throughput transcriptomic sequencing of the Finnish Yorkshire to identify gene expression patterns within the breed in the testis and oviduct. Methods: The Solid 4 reads were mapped against the pig genome build 10.2 using the colorspace alignment tool provided by Applied Biosystems and distributed with the instrument (LifeScope v2.1). Reads associated with ribosomal RNA, transfer RNA, repeats and other uninformative reads were filtered out during the process as well as reads with more than 10 potential alignments. After alignment to the reference genome, low mapping quality reads were discarded (mapQV(<10)) and unique reads were associated with known genes based on UCSC annotations, and the number of reads aligned within each gene was counted. FPKM values were calculated for normalization of the data to remove variation between samples caused by non-biological reasons using the Cufflinks software v2.0.2. Results: The analysis of gene expression differences between the testis and oviduct highlighted 1,234 genes up-regulated in the testis and 1,501 in the oviduct. Conclusions: The RNA-seq technology used in this study provides novel information about transcript expression and differential gene expression in the testis and oviduct. The produced data will assist in the identification of candidate genes based on association mapping results within the pig population and provides insights into the expression of genes in the two reproductive organs studied. Testis and oviduct mRNA profiles of adult WT and immotile short tail sperm (ISTS) affected Finnish Large White pigs were generated by deep sequencing using Solid 4 platform.
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-59149
refinement:
raw
alternateIdentifiers:
59149
keywords:
functional genomics
dateModified:
08-19-2015
availability:
available
types:
gene expression
name:
Sus scrofa
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-59149/E-GEOD-59149.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-59149/E-GEOD-59149.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE59149
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress