Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1225788 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The gut microbiota composition is unique to every individual but is shaped by common factors including diet, lifestyle, medication use, early-life determinants, living environment or genetics. Most of these factors may be influenced by ethnicity. This study explored variations in fecal microbiota composition in 6048 individuals with different ethnic backgrounds living in the same geographical area (Amsterdam, the Netherlands).
| EGAS00001002969 | EGA
Project description:Feather pecking is a major welfare problem in egg production. It may be caused by genetic, physiological and environmental factors. The main aim of this study was to uncover variability in gene expression between individuals from high (HFP) and for low feather pecking (LFP) line using Chicken Gene Expression Microarrays (Agilent Technologies). Samples were assorted to two groups, each containing 9 biological replicates from high feather pecking (HFP) and low feather pecking (LFP) line.
2012-03-17 | E-GEOD-36559 | biostudies-arrayexpress
Project description:In the present study, we were interested in gene expression changes in the pectoralis muscle of juvenile king penguins during the transition from terrestrial to marine life. Strictly terrestrial during their first year after hatching, king penguin chicks must then depart to sea to reach nutritional emancipation and pectoralis muscle is largely involved in penguin adaptation to the marine environment. To compare these transcriptomic profiles, we realized heterologous hybridization on Affymetrix GeneChip Chicken Genome Arrays, as the chicken is the closest model species for which microarrays are available. The development of a new algorithm, MaxRS, allow us to determine differentially expressed genes implicated in energetic metabolism or involved in cellular defense against reactive oxygen species and associated injuries. We compared muscle sample biopsy from 4 penguin juveniles captured just before they undergone their first immersion to cold water (named NI for Never Immersed) and 3 penguin juveniles that had completly accomplished their acclimation to marine life (named SA for Sea Acclimated).
2010-06-08 | E-GEOD-17725 | biostudies-arrayexpress
Project description:Feather pecking is a major welfare problem in egg production. It may be caused by genetic, physiological and environmental factors. The main aim of this study was to uncover variability in gene expression between individuals from high (HFP) and for low feather pecking (LFP) line using Chicken Gene Expression Microarrays (Agilent Technologies).
2012-03-17 | GSE36559 | GEO
Project description:The feather follicle is a “professional” regenerative organ that undergoes natural cycling and, regeneration after wound plucking. Similar to mammalian hair follicle, dermal papilla (DP) controls feather regeneration, shape, size, and axis. Here we report gene expression profiling for feather DP at different growth stages. For growth phase, we compared gene expression of DP, the ramogenic zone of feather branching epithelium (Erz) and the mesenchymal pulp (Pp). We also compared gene expression of DP at resting phase. To characterize the feather regeneration process, we further profiled gene expression at Day-2 and Day-4 post wound. Our results provide a resource for investigating feather growth and regeneration. Examination of gene expression in dermal papilla (DP) at growth phase and resting phase feather follicle, and during feather regeneration.
2014-01-22 | E-GEOD-42017 | biostudies-arrayexpress
Project description:We introduce the Promoter-ENhancer-GUided Interaction Networks (PENGUIN) approach to identify protein-protein interactions (PPI) within enhancer-promoter (E-P) interactions. By integrating high-coverage H3K27ac-HiChIP data and tissue-specific PPI networks, PENGUIN identifies functional clusters in E-P networks. Here, we applied PENGUIN to E-P networks of prostate cancer (PrCa) cell line LNCaP. We validated PENGUIN's structural classification by observing clear differential enrichment of the architectural protein CTCF. One of our 8 main clusters, comprising 273 promoters, showed significant enrichment for PrCa-associated single nucleotide polymorphisms (SNPs) and oncogenes. Our approach provides a mechanistic explanation for 208 PrCa SNPs located within DNA-binding protein (DBP) binding sites or intermediate protein-encoding genes involved in E-P contacts. CRISPR analysis in the LNCaP cell line confirmed the relevance of these SNPs in PrCa. PENGUIN confirms the importance of key regulators in PrCa and identifies new intervention candidates, offering new directions for identifying molecular targets in disease treatment. Data was generated in the Matthew L. Freedman lab.
2023-09-30 | GSE235245 | GEO
Project description:Feather evolution enabled feathered dinosaurs and early Mesozoic birds to venture into new ecological niches. Studying how feathers and scales are specified provides insight into how a new organ evolves. We use genome-wide analyses to identify feather-associated genes and test their feather-forming ability by expressing them in chicken and alligator scales. Intermediate morphotypes revealed five cardinal morphogenetic events: localized growth zone, follicle invagination, branching, feather keratin differentiation and dermal papilla formation. In contrast to molecules known to induce feathers on scales (retinoic acid, beta-catenin), we identify novel scale-feather converters (Sox2, Zic1, Grem1, Spry2, Sox18) which induce only one or several of the five regulatory modules. Some morphotypes resemble filamentous appendages found in feathered dinosaur fossils, while others demonstrate some characteristics of modern feathers. We propose that at least five morpho-regulatory modules were used to diversify ancient reptile scales. The regulatory combination and hierarchical integration led to extant feather forms.
2017-12-31 | GSE87248 | GEO