Gallus gallus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA196583 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:RNA sequencing analysis of abdominal adipose tissue in 7 week old juvenile broiler chickens divergently selected for high or low body weight
| PRJNA213101 | ENA
Project description:Transcriptional profiling of abdominal adipose tissue in juvenile broiler chickens divergently selected for abdominal fatness or leanness
| PRJNA162389 | ENA
Project description:Hepatic transcriptional profiling of juvenile broiler chickens divergently selected for high or low body weight
| PRJNA98007 | ENA
Project description:Hepatic transcriptional profiling of juvenile broiler chickens divergently selected for abdominal fatness or leanness
| PRJNA102125 | ENA
Project description:RNA sequencing analysis of abdominal adipose tissue in 7 week old juvenile broiler chickens divergently selected for abdominal fatness or leanness
| PRJNA184019 | ENA
Project description:Excessive accumulation of lipids in the adipose tissue is a major problem in the present-day broiler industry. However, few studies have analyzed the expression of adipose tissue genes that are involved in pathways and mechanisms leading to adiposity in chickens. Gene expression profiling of chicken adipose tissue could provide key information about the ontogenesis of fatness and clarify the molecular mechanisms underlying obesity. Chicken Genome Arrays were used to construct an adipose tissue gene expression profile of 7-week-old broilers, and to screen adipose tissue genes that are differentially expressed in lean and fat lines divergently selected over eight generations for high and low abdominal fat weight. Keywords: two lines comparison
2008-05-27 | GSE8010 | GEO
Project description:Excessive accumulation of lipids in the adipose tissue is a major problem in the present-day broiler industry. However, few studies have analyzed the expression of adipose tissue genes that are involved in pathways and mechanisms leading to adiposity in chickens. Gene expression profiling of chicken adipose tissue could provide key information about the ontogenesis of fatness and clarify the molecular mechanisms underlying obesity. Chicken Genome Arrays were used to construct an adipose tissue gene expression profile of 7-week-old broilers, and to screen adipose tissue genes that are differentially expressed in lean and fat lines divergently selected over eight generations for high and low abdominal fat weight. Experiment Overall Design: Birds were slaughtered at 7 weeks and abdominal fat was isolated, immediately frozen in liquid nitrogen and stored at -80oC. The ten birds used in the present study were chosen by the percentage of abdominal fat (AFP): five had the highest AFP and the other five had the lowest for RNA extraction and hybridization on Affymetrix microarrays..
2008-11-04 | E-GEOD-8010 | biostudies-arrayexpress
Project description:Chickens divergently selected for either high growth (HG genotype) or low growth (LG genotype) by F.H. Ricard at SRA-INRA, Nouzilly France were used for time-course transcriptional profiling of abdominal fat during juvenile development (1 to 11 weeks of age) to identify differentially expressed genes. The HG and LG chickens are different in various phenotypic and metabolic measurements, including growth rate, abdominal fat, plasma glycemia, insulinemia, T4, T3, triglyceride and NEFA. Thus, the HG and LG chickens are valuable as a model for biomedical and agricultural traits. The Del-Mar 14K Chicken Integrated Systems microarrays were used for a transcriptional scan in abdominal adipose during juvenile development using a balanced block hybridization design. Log2-transformed fluorescence intensities were analyzed with the linear mixed model (MIXED) procedure in SAS (SAS Institute Inc., Cary, NC, USA). A total of 3,957 differentially expressed functional genes were identified (FDR<0.05) as having a significant effect of age (2,918), genotype (312), or an age by genotype interaction (727). The differentially expressed genes include adipokines, metabolic enzymes, acute phase proteins, growth factors, coagulation factors, immune factors and transcription factors involved in various pathways. Keywords: abdominal fat, divergently selected chickens, growth, transcriptional profiling, differentially expressed genes, lipogenesis
2013-04-06 | GSE45825 | GEO
Project description:Chickens divergently selected for either high growth (HG genotype) or low growth (LG genotype) at SRA-INRA, France were used to profile abdominal adipose gene expression at 7 wk of age. The HG and LG chickens are different in various phenotypic and metabolic measurements, including growth rate, abdominal fat, plasma glycemia, insulinemia, T4, T3, triglyceride and NEFA. The HG and LG chickens are valuable as a model for biomedical and agricultural traits. Massively parallel RNA sequencing (RNA-Seq) was completed on an Illumina HiSeq 2000 System for transcription analysis of HG and LG abdominal fat. Need information on data processing, statistical analysis, and differential expression. Keywords: abdominal fat, divergently selected chickens, growth, transcriptional profiling, differentially expressed genes
2015-03-14 | GSE49121 | GEO
Project description:Chickens divergently selected for either high abdominal fat content (fat genotype) or low abdominal fat content (lean genotype) at SRA-INRA, France were used to profile abdominal adipose gene expression during juvenile development (1 to 11 weeks of age) and to identify differentially expressed genes associated with genotype and age. The fat line (FL) and lean line (LL) chickens are different in various phenotypic and metabolic measurements, including abdominal fatness, plasma glycemia and T3. The FL and LL chickens represent unique models for characterizing biomedical and agricultural traits. The Del-Mar 14K Chicken Integrated Systems microarrays were used for a transcriptional scan in abdominal adipose during juvenile development using a balanced block hybridization design. Fluorescence intensities were normalized within array (without background subtraction), and between array (aquantile method) in LIMMA package R [Smyth, G. K. (2004) Linear models and empirical Bayes methods for assessing differential expression in microarray experiments. Statistical Applications in Genetics and Molecular Biology, Vol. 3, No. 1, Article 3] producing M-values (log-2 expression ratios) and A-values (average log-2 expression values). Normalized values were analyzed using a two factor ANOVA model. A total of 3,669 unique differentially expressed functional genes were identified (FDR<0.05). Genes were determined to have a significant effect of age (3,222), genotype (344), or an age by genotype interaction (254). The differentially expressed genes include metabolic enzymes, acute phase proteins, growth factors, coagulation factors, immune factors and transcription factors involved in various pathways. Several of the functional genes are also identified as positional candidate genes within QTLs in an F2 population established from an intercross between the FL and LL lines. Keywords: Divergently selected chickens, fatness, transcriptional profiling, differentially expressed genes
2012-04-27 | GSE37585 | GEO