Gallus gallus
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ABSTRACT:
PROVIDER: PRJNA184019 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Hepatic transcriptional profiling of juvenile broiler chickens divergently selected for abdominal fatness or leanness
| PRJNA102125 | ENA
Project description:Transcriptional profiling of abdominal adipose tissue in juvenile broiler chickens divergently selected for abdominal fatness or leanness
| PRJNA162389 | ENA
Project description:Hypothalami from Fat (FL) and Lean lines (LL) of juvenile broiler chickens were obtained by divergent selection for high or low levels of abdominal fat at SRA-INRA, France. Gene expression patterns were measured during the development of adiposity at 1 to 7 weeks of age. Differentially expressed genes associated with line, age, or line-by-age were identified. Various phenotypic and metabolic alterations are present between the lines (i.e., abdominal fat, T3 levels and glycemia), however there are no alterations in ad libitum food intake between the lines. A balanced block hybrdization design and the Del-Mar 14K chicken integrated systems microarrays were used to measure gene expression during development. 561 genes were differentially expressed between line, and 442 genes were significant for line-by-age interactions. The greatest number of genes were differentially expressed at week 1 of age, prior to any divergence in adiposity between the two lines. Keywords: Chickens divergently selected for fatness or leanness, transcriptional profiling, differentially expressed genes
2008-01-03 | GSE10052 | GEO
Project description:Hypothalami from Fat (FL) and Lean lines (LL) of juvenile broiler chickens were obtained by divergent selection for high or low levels of abdominal fat at SRA-INRA, France. Gene expression patterns were measured during the development of adiposity at 1 to 7 weeks of age. Differentially expressed genes associated with line, age, or line-by-age were identified. Various phenotypic and metabolic alterations are present between the lines (i.e., abdominal fat, T3 levels and glycemia), however there are no alterations in ad libitum food intake between the lines. A balanced block hybrdization design and the Del-Mar 14K chicken integrated systems microarrays were used to measure gene expression during development. 561 genes were differentially expressed between line, and 442 genes were significant for line-by-age interactions. The greatest number of genes were differentially expressed at week 1 of age, prior to any divergence in adiposity between the two lines. Keywords: Chickens divergently selected for fatness or leanness, transcriptional profiling, differentially expressed genes Four biological replicates were used for each genotype (FL and LL) at four different ages (weeks 1, 3, 5 and 7). 20 micrograms of total RNA from each sample were analyzed using DEL-MAR 14K integrated systems microarrays in a reference design. Each experimental sample was labeled with Cy3 and then hybridized with an aliquot of the reference pool (Cy5). The reference pool of hypothalamic total RNA was generated from an equal aliquot of all the RNA samples (fat and lean lines, week 1, 3, 5, and 7).
2010-05-26 | E-GEOD-10052 | biostudies-arrayexpress
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 hepatic 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 liver during juvenile development using a balanced block hybridization design. Log2-transformed fluorescence intensities were analyzed with a two-stage mixed model. A total of 905 differentially expressed "functional" genes were identified (FDR<0.10). The greatest number of differentially expressed genes (400) was detected at 7 weeks of age. The differentially expressed genes include metabolic enzymes, acute phase proteins, growth 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
2007-09-01 | GSE8812 | GEO
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: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:Transcriptional profiling of abdominal adipose tissue in juvenile broiler chickens divergently selected for high or low body weight
| PRJNA196583 | ENA
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
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 1,020 differentially expressed functional genes were identified (FDR<0.05). Genes were determined to have a significant effect of age (422), 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 A balanced block design was used for microarray hybridizations, where half of the birds of each genotype and age were labeled with Alexa Flour 647 (red) and the other half with Alexa Flour 555 (green). Four biological replicates were used for each genotype (FL or LL) at six different ages (1, 3, 5, 7, 9 and 11 wk).
2012-04-26 | E-GEOD-37585 | biostudies-arrayexpress