Rabbit-Omics
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB71513 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR12406300_1.fastq.gz | Fastqsanger.gz | |||
| ERR12406300_2.fastq.gz | Fastqsanger.gz | |||
| ERR12406301_1.fastq.gz | Fastqsanger.gz | |||
| ERR12406301_2.fastq.gz | Fastqsanger.gz | |||
| ERR12406401_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 578 |
Similar Datasets
Project description:The rabbits ingest the mother's droppings at the nest. This behaviour contributes to the transmission of the maternal microbiota to its progeny, it is involved in the maturation of the digestive ecosystem of the rabbits and reduces mortality. In view of these observations, it is possible to assume that the digestive system is involved. To support this hypothesis, gene expression is measured using an expression chip. The aim is to detect over- or under-expressed genes under certain conditions and to link them in particular to immunity.
2019-05-02 | GSE104838 | GEO
Project description:The rabbit hemorrhagic disease virus (RHDV) represents the causative agent of a highly contagious disease in rabbits that is often associated with high mortality. Because of the lack of a suitable cell culture system for RHDV, the pathogenic mechanism and replication of RHDV remains unclear. In order to analyze the pathogenic mechanism of RHDV to rabbits, we used New Zealand white rabbits infected with RHDV, collected liver tissues 32 hours after infection, and used TMT labeling for LC-MS analysis. Subsequently, it was compared and analyzed with the protein data of the liver tissue of the uninfected rabbits. Perform bioinformatics analysis on significantly different proteins. Finally, comprehensively analyze the influence of RHDV on host protein and pathway expression levels. This study provides clues to clarify the pathogenic mechanism of RHDV in rabbits.
2022-05-19 | PXD030318 | Pride
Project description:Adult New Zealand White rabbits (2-2.5 kg) mRNA quantification.
2018-08-01 | GSE115605 | GEO
Project description:In the presented study, in order to unravel gut microbial community multiplicity and the influence of maternal milk nutrients (i.e., IgA) on gut mucosal microbiota onset and shaping, a mouse GM (MGM) was used as newborn study model to discuss genetic background and feeding modulation on gut microbiota in term of symbiosis, dysbiosis and rebiosis maintenance during early gut microbiota onset and programming after birth. Particularly, a bottom-up shotgun metaproteomic approach, combined with a computational pipeline, has been compred with a culturomics analysis of mouse gut microbiota, obtained by MALDI-TOF mass spectrometry (MS).
2016-10-13 | PXD004033 | Pride
Project description:Characterization of Bacterial Microbiota Composition along the Gastrointestinal Tract in Rabbits
| PRJNA1069001 | ENA
Project description:Examining controls and atherosclerotic rabbits gene expression
2023-05-01 | GSE220754 | GEO
Project description:The formation of embryonic muscle fibers during the prenatal period determines the number of muscle fibers after birth. Our previous studies showed that SYISL gene knockout (KO) mice significantly increased the number of total muscle fibers, but the underlying mechanism remains unclear. In this study, we found that the development of embryonic muscle fibers was significantly influenced by the interaction between host SYISL genotype and maternal gut microbiota. SYISL KO alters the composition of the female mice maternal gut microbiota, significantly increases the relative abundance of Prevotella (P<0.05). Fecal microbiota transplantation (FMT) experiments indicated that fecal suspension from KO female mice significantly increased the number of offspring muscle fibers. Our study provides the new evidence for the interaction between maternal single gene and gut microbiota on the embryonic muscle development of the offspring.
2025-02-19 | GSE244822 | GEO
Project description:Seminal plasma contributes to the safe environment for sperm maturation, sperm viability and fertilization in mammals (Kumar 2013). Moreover, seminal plasma is a promising source for the study of potential reproductive biomarkers, because it is a complex mixture of secretions from testis, epididymis and male accessory sex glands (González-Cadavid et al. 2014). The protein composition of mammalian seminal plasma varies among species, and has important effects on sperm function (Mortarino et al. 1998). In rabbits, seminal plasma has a positive effect in maintaining sperm motility and viability during in vitro storage (Castellini et al. 2000). To study proteins on a large scale, the application of a proteomic approach is mandatory (Dietrich 2014). Rabbit seminal plasma proteome has been proved different between rabbit genetic line A (maternal) and R (growth) (Viudes-de-Castro et al. (2004), Safaa et al. (2008), Casares-Crespo 2016) and between seasons (Casares-Crespo 2016). In these previous studies a traditional 1 dimension polyacrylamide gel was done, identifying only major proteins visible after Coomassie Colloidal Blue staining and obtaining the relative quantity of these protein bands. On the contrary, new approaches such as liquid chromatography in-gel or in-solution digestion coupled with mass spectrometric analysis are a powerful, yet relatively uncomplicated strategy to identify and characterize proteins. Mass spectrometry-based proteomics has become the tool of choice for identifying and quantifying the proteome of an organism (Karpievitch 2010). Therefore, the present study was conducted to describe the seminal plasma proteome of rabbits, compare the differentially expressed seminal plasma proteins between genetic lines A and R and study the effect of season in rabbit seminal plasma proteome.
2018-01-04 | PXD006308 | Pride
Project description:We previously reported the establishment of a rabbit (Oryctolagus cuniculus) model of Systemic Lupus Erythematosus (SLE) in which peptide immunization led to lupus-like autoantibody production including anti-Sm, -RNP, -SS-A, -SS-B and -dsDNA. Some neurological symptoms in form of seizures and nystagmus were observed. The animals used in the previous and in the present study were from a National Institute of Allergy and Infectious Diseases colony of rabbits that were pedigreed, immunoglobulin allotype-defined but not inbred. Their genetic heterogeneity may correspond to that found among patients of a given ethnicity. We extended the information about this rabbit model of SLE by microarray based expression profiling. We first demonstrated that human expression arrays could be used with rabbit RNA to yield information on molecular pathways. We then designed a study evaluating gene expression profiles in 8 groups of control and SLE rabbits (46 rabbits in total). Genes significantly upregulated in SLE rabbits were associated with NK cytotoxicity, antigen presentation, leukocyte migration, cytokine activity, protein kinases, RNA spliceosomal ribonucleoproteins, intracellular signaling cascades, and glutamate receptor activity. These results link increased immune activation with up-regulation of components associated with neurological and anti-RNP responses, demonstrating the utility of the rabbit SLE model to uncover biological pathways related to SLE-induced clinical symptoms, including Neuropsychiatric Lupus. Our finding of distinct gene expression patterns in rabbits that made anti-dsDNA compared to those that only made other anti-nuclear antibodies should be further investigated in subsets of SLE patients with different autoantibody profiles.
2010-07-23 | GSE23076 | GEO