Back to Search
Start Over
Microarray analysis of adipose tissue gene expression profiles between two chicken breeds
- Source :
- Journal of biosciences. 31(5)
- Publication Year :
- 2007
-
Abstract
- The chicken is an important model organism that bridges the evolutionary gap between mammals and other vertebrates and provides a major protein source from meat and eggs throughout the world. Excessive accumulation of lipids in the adipose tissue is one of the main problems faced by the broiler industry nowadays. In order to visualize the mechanisms involved in the gene expression and regulation of lipid metabolism in adipose tissue, cDNA microarray containing 9 024 cDNA was used to construct gene expression profile and screen differentially expressed genes in adipose tissue between broilers and layers of 10 wk of age. Sixty-seven differentially expressed sequences were screened out, and 42 genes were found when blasted with the GenBank database. These genes are mainly related to lipid metabolism, energy metabolism, transcription and splicing factor, protein synthesis and degradation. The remained 25 sequences had no annotation available in the GenBank database. Furthermore, Northern blot and semi-quantitative RT-PCR were developed to confirm 4 differentially expressed genes screened by cDNA microarray, and it showed great consistency between the microarray data and Northern blot results or semi-quantitative RT-PCR results. The present study will be helpful for clarifying the molecular mechanism of obesity in chickens.
- Subjects :
- Genetics
Microarray analysis techniques
Reverse Transcriptase Polymerase Chain Reaction
Gene Expression Profiling
Adipose tissue
Lipid metabolism
General Medicine
Biology
Blotting, Northern
Lipid Metabolism
General Biochemistry, Genetics and Molecular Biology
Gene expression profiling
Adipose Tissue
Complementary DNA
GenBank
Gene expression
Animals
Northern blot
General Agricultural and Biological Sciences
Chickens
Oligonucleotide Array Sequence Analysis
Subjects
Details
- ISSN :
- 02505991
- Volume :
- 31
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Journal of biosciences
- Accession number :
- edsair.doi.dedup.....9356414cbe7147916d2b75b959626b55