Project description:Hepatic steatosis is the initial manifestation of abnormal liver functions and often leads to liver diseases such as non-alcoholic fatty liver disease in humans and fatty liver syndrome in animals. In this study, we conducted a comprehensive analysis of a large chicken population consisting of 705 adult hens by combining host genome resequencing, liver transcriptome, proteome, and metabolome analysis, as well as microbial 16S rRNA gene sequencing of each gut segment.
Project description:Comparative analysis of gene expression profiles in newly developed housing systems is important to understand gene functions in chicken for adaptation and possible gene-environment interactions among layer lines. Therefore, the objective of this study was to characterize the molecular processes that are different among the two layer lines Lohmann Selected Leghorn (LSL) and Lohmann Brown (LB) using whole genome RNA expression profiles. Despite their approximately identical egg production performance these layer lines differ markedly in other phenotypic traits. The two layer lines were kept under the production environment of the newly developed small group housing system Eurovent German with two different group sizes and three tiers. We used a chicken RNA microarray to identify differentially expressed genes among the two layer lines LSL and LB.
Project description:<p>Hepatic steatosis is the initial manifestation of abnormal liver functions and often leads to liver diseases such as non-alcoholic fatty liver disease in humans and fatty liver syndrome in animals. In this study, we conducted a comprehensive analysis of a large chicken population consisting of 705 adult hens by combining host genome resequencing, liver transcriptome, proteome and metabolome analysis, as well as microbial 16S rRNA gene sequencing of each gut segment. The results showed the heritability (h2 = 0.25) and duodenal microbiability (m2 = 0.26) of hepatic steatosis were relatively high, indicating a large effect of host genetics and duodenal microbiota on chicken hepatic steatosis. Individuals with hepatic steatosis had low microbiota diversity and a decreased genetic potential to process triglyceride output from hepatocytes, fatty acid β-oxidation activity and resistance to fatty acid peroxidation. Furthermore, we revealed a molecular network linking host genomic variants (GGA6: 5.59-5.69 Mb), hepatic gene/protein expression (PEMT, phosphatidyl-ethanolamine N-methyltransferase), metabolite abundances (folate, S-adenosylmethionine, homocysteine, phosphatidyl-ethanolamine and phosphatidylcholine) and duodenal microbes (genus Lactobacillus) to hepatic steatosis, which could provide new insights into the regulatory mechanism of fatty liver development.</p>
Project description:MicroRNAs are small non-coding RNA transcripts that regulate post-transcriptional gene expression. The millions of short sequence reads generated by next generation sequencing technologies make this technique explicitly suitable for profiling of known and novel microRNAs. A modification to the small-RNA expression kit (SREK, Ambion) library preparation method for the SOLiD sequencing platform is described to generate microRNA sequencing libraries that are compatible with the Illumina Genome Analyzer. High quality sequencing libraries can successfully be prepared from as little as 100 ng small RNA enriched RNA. An easy to use perl-based analysis pipeline called E-miR was developed to handle the sequencing data in several automated steps including data format conversion, 3' adapter removal, genome alignment and annotation to non-coding RNA transcripts. Both the sample preparation and E-miR pipeline were successfully used to determine cardiac enriched microRNA expression in stage 16 chicken embryos. Comparing miRNA expression profiles for whole Chicken Embryo and isolated Heart tubes at developmental stage HH16
Project description:To investigate the genome-wide DNA binding of chicken p53, we overexpressed chicken p53 with a flag in LMH cells. We then performed genome-wide DNA binding analysis using data obtained from ChIP-seq of LMH cells.
2022-10-05 | GSE200405 | GEO
Project description:Resequencing data for nami chicken
| PRJNA1015369 | ENA
Project description:Resequencing data for Yanying chicken