Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1194763 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We investigated the effects of heat stress on the liver transcriptome of 3wk-old chicks of a broiler line, the Fayoumi and an advanced intercross line (AIL). Transcriptome sequencing of 48 male chickens using Illumina HiSeq 2500 technology yielded an average of 3.4 million, 100-base -pair single-end, reads per sample.
2017-10-04 | E-MTAB-4569 | biostudies-arrayexpress
Project description:This data originates from an expression quantitative trait locus analysis of liver in an advanced intercross of Red Jungefowl and White Leghorn chickens. The aim of the study was to map the genetic basis of growth traits and transcript abundance traits in the liver, and use the latter to search for candidate causative genes for chicken growth.
2018-01-25 | E-MTAB-5572 | biostudies-arrayexpress
Project description:Previously we have shown significant differences in lactation performance, mammary gland histology and expression profiles of mammary transcriptome during peak-lactation (lactation day 9; L9) between the ordinary CBA/CaH (CBA) and the superior QSi5 strains of mice. In the present study, we compared mammary gland histology between CBA and QSi5 at mid-pregnancy (pregnancy day 12; P12). We assessed lactation performance during the first 8 days of lactation of the 13th - 14th generation of the Advanced Intercross Line (AIL) (CBA X QSi5) mice. We utilized an integrative approach to analyzing mammary microarray expression profiles of CBA and QSi5 at P12 and CBA, AIL and QSi5 at L9.
2013-01-22 | GSE32020 | GEO
Project description:Previously we have shown significant differences in lactation performance, mammary gland histology and expression profiles of mammary transcriptome during peak-lactation (lactation day 9; L9) between the ordinary CBA/CaH (CBA) and the superior QSi5 strains of mice. In the present study, we compared mammary gland histology between CBA and QSi5 at mid-pregnancy (pregnancy day 12; P12). We assessed lactation performance during the first 8 days of lactation of the 13th - 14th generation of the Advanced Intercross Line (AIL) (CBA X QSi5) mice. We utilized an integrative approach to analyzing mammary microarray expression profiles of CBA and QSi5 at P12 and CBA, AIL and QSi5 at L9. The inguinal mammary glands of CBA/CaH and QSi5 during mid-pregnancy (Pregnancy day 12; P12), and the glands of CBA/CaH, AIL and QSi5 during peak lactation (Lactation day 9; L9) were collected and total RNA was extracted for Affymetrix microarray (mouse genome 430 2) assay
2013-01-22 | E-GEOD-32020 | biostudies-arrayexpress
Project description:This data originates from an expression quantitative trait locus analysis of cerebrum in an advanced intercross of Red Jungefowl and White Leghorn chickens. The aim of the study was to map the genetic basis of cerebrum and body mass, and idenifiy transcriptional differences within the intercross to assess any candidate genes for cerebrum and body mass.
2020-07-07 | E-MTAB-9313 | biostudies-arrayexpress
Project description:Background and Aims: Lifespan is influenced by complex interactions between genetic and environmental factors. Limitations in studying those factors in model organisms of a single genetic background hinder translational value. Here, we mapped genetic determinants of lifespans in 85 C. elegans recombinant intercross advanced inbred lines (RIAILs). We assessed molecular profiles – transcriptome, proteome, and lipidome – and life-history traits (lifespan), development, growth dynamics, and reproduction.
2024-02-07 | GSE252593 | 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 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:Chickens divergently selected for either high abdominal fat content (fat genotype) or low abdominal fat content (lean genotype) at Station Recherches Avicoles, Institut National de la Recherche Agronomique Nouzilly, France were used to profile abdominal fat gene expression at 7 weeks of age. The fat line (FL) and lean line (LL) chickens differ in various phenotypic and metabolic measurements, including abdominal fatness, plasma glycemia and triiodothyronine (T3). The FL and LL chickens represent unique models for characterizing biomedical and agricultural traits. Massively parallel RNA sequencing (RNA-Seq) was completed on an Illumina HiSeq 2000 System for transcription analysis of FL and LL abdominal fat. Statistical analysis was completed using CLC Genomics Workbench software. A total of 1,703 genes were differentially expressed in the FL versus LL adipose tissue [FDR<0.05 and fold change (FL/LL) > 1.2]. The differentially expressed genes include metabolic enzymes, acute phase proteins, growth factors, coagulation factors, immune factors, vasoregulators and transcription factors involved in various pathways. Several of the functional genes identified are also positional candidate genes within quantitative trait loci (QTL) in an F2 population created from an intercross of the FL and LL lines. Keywords: Divergently selected chickens, fatness, transcriptional profiling, differentially expressed genes
2013-04-16 | GSE42980 | GEO
Project description:Chickens divergently selected for either high abdominal fat content (fat genotype) or low abdominal fat content (lean genotype) at Station Recherches Avicoles, Institut National de la Recherche Agronomique Nouzilly, France were used to profile abdominal fat gene expression at 7 weeks of age. The fat line (FL) and lean line (LL) chickens differ in various phenotypic and metabolic measurements, including abdominal fatness, plasma glycemia and triiodothyronine (T3). The FL and LL chickens represent unique models for characterizing biomedical and agricultural traits. Massively parallel RNA sequencing (RNA-Seq) was completed on an Illumina HiSeq 2000 System for transcription analysis of FL and LL abdominal fat. Statistical analysis was completed using CLC Genomics Workbench software. A total of 1,703 genes were differentially expressed in the FL versus LL adipose tissue [FDR<0.05 and fold change (FL/LL) > 1.2]. The differentially expressed genes include metabolic enzymes, acute phase proteins, growth factors, coagulation factors, immune factors, vasoregulators and transcription factors involved in various pathways. Several of the functional genes identified are also positional candidate genes within quantitative trait loci (QTL) in an F2 population created from an intercross of the FL and LL lines. Keywords: Divergently selected chickens, fatness, transcriptional profiling, differentially expressed genes Abdominal fat mRNA profiles of fat line (FL) and lean line (LL) chickens at 7 weeks of age were generated by deep sequencing (on an Illumina HiSeq 2000 system) employing several sequencing schemes to determine depth of coverage from 1, 4, and 8 multiplexed libraries per sequencing lane. Transcriptional analysis was completed by averaging short paired-end sequence reads (101 bp) for each bird across three sequencing depths.
2013-04-16 | E-GEOD-42980 | biostudies-arrayexpress