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Title: Variability in white blood cell counts in swine: identification of putative positional and functional candidate genes by a transcriptome-based study      
dateReleased:
10-31-2014
description:
The counts of total white blood cells (WBCs) and WBC subsets are well-established diagnostic factors for various diseases. It has been shown that variations in WBC counts are significantly controlled by individuals’ genetics in swine. However, despite detection of quantitative trait loci (QTLs) for these phenotypes, little is known on the molecular basis underlying their variations. Our aim was to study gene profiling variations according to variations in WBC counts and to connect results with available QTL mapping. Whole blood transcriptome of animals contrasted for levels of WBC counts were compared. A pig generic microarray enriched in immunity-related genes was used. 378 probes representing 334 genes were found significantly differentially expressed between high- and low-count WBC groups. 65 genes were associated with hematological system development and function. 336 probes could be mapped on all autosomes and the X chromosome, and 59 transcripts fell within 28 QTLs reported to affect the counts of WBC and WBC subsets. By combining probe mapping results and biological functions, 6 genes (CDKN2A, TCIRG1, SIPA1, RGL2, FLT1 and CFLAR) were found as putative relevant positional candidate genes for the WBC traits. Genetic linkage experiments are warranted to validate these candidate genes, and further investigating a possible pleiotropic effect of these genes could contribute to elucidate molecular mechanisms involved in WBC development. differentially expressed genes or transccripts between high- and low-count white blood cells groups The dual channel microarray experiments were carried out using a common reference hybridization design. In this study the reference RNA sample was prepared by pooling of total RNAs from different porcine tissues. The test samples were RNA samples isolated from total porcine blood. According to the total white blood cells count, 18 animals were selected from the edges of the distribution, named high-count group (HC, 9 animals) and low-count group (LC, 9 animals).
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-50589
refinement:
raw
alternateIdentifiers:
50589
keywords:
functional genomics
dateModified:
11-09-2014
availability:
available
types:
gene expression
name:
Sus scrofa
ID:
A-GEOD-7151
name:
SLA/Immune Response/NRSP8 Pig 70 mers Oligonucleotides 3.8K + 13.3K v1
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-50589/E-GEOD-50589.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-50589/E-GEOD-50589.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=GSE50589
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

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