ArticleInternational journal of biological sciences2009
Identification of candidate genes for congenital splay leg in piglets by alternative analysis of DNA microarray data.
Article in International journal of biological sciences, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Integrated transcriptomics and proteomics analysis reveals muscle metabolism effects of dietary Ulva lactuca and ulvan lyase supplementation in weaned piglets.Scientific reports · 2024Article
- Homer 1 genotype AA variant relates to congenital splay leg syndrome in piglets by repressing Pax7 in myogenic progenitors.Frontiers in veterinary science · 2023Article
- Congenital Splay Leg Syndrome in Piglets-Current Knowledge and a New Approach to Etiology.Frontiers in veterinary science · 2021Review
- Detection of genomic regions associated malformations in newborn piglets: a machine-learning approach.PeerJ · 2021Article
- Genome-wide association study identifies candidate genes for piglet splay leg syndrome in different populations.BMC genetics · 2017Article
- Article
- Prevalence of Swimming Puppy Syndrome in 2,443 Puppies during the Years 2006-2012 in Thailand.Veterinary medicine international · 2013Article
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8 authors.
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Abstract
The congenital splay leg syndrome in piglets is characterized by a temporarily impaired functionality of the hind leg muscles immediately after birth. Etiology and pathogenetic mechanisms for the disease are still not well understood. We compared genome wide gene expression of three hind leg muscles (M. adductores, M. gracilis and M. sartorius) between affected piglets and their healthy littermates with the GeneChip Porcine Genome Array (Affymetrix) in order to identify candidate genes for the disease. Data analysis with standard algorithms revealed no significant differences between both groups. By application of an alternative approach, we identified 63 transcripts with differences in two muscles and 5 genes differing between the groups in three muscles. The expression of six selected genes (SQSTM1, SSRP1, DDIT4, ENAH, MAF, and PDK4) was investigated with SYBRGreen RT-Real time PCR. The differences obtained with the microarray analysis could be confirmed and demonstrate the validity of the alternative approach to microarray data analysis. Four genes with different expression levels in at least two muscles (SQSTM1, SSRP1, DDIT4, and MAF) are assigned to transcriptional cascades related to cell death and may thus indicate pathways for further investigations on congenital splay leg in piglets.
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