Genome-wide circRNA profiling reveals that circGAS2-2 are abundantly expressed and regulates myoblast proliferation in indigenous Chinese duck breed
Ontology highlight
ABSTRACT:
ORGANISM(S): Anas platyrhynchos
PROVIDER: GSE152947 | GEO | 2023/03/20
REPOSITORIES: GEO
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Project description:In this project we try to character potential candidate genes and signaling pathways related to PM development during late-term embryonic to neonatal development in indigenous chinese duck breeds. We use RNA-seq to analyse PM samples selected at embryonic days (E) 21 and 27 and 5 days post-hatch (dph) in Gaoyou and Jinding ducks. There were about 45 million clean reads, the total mapped rate was 58.58%–64.82%, and the uniquely mapped rate was 56.21%–63.55%.The results of cluster analysis of DEGs are shown that with the same developmental time nodes superimposed. There were 522 DEGs between Gaoyou and Jinding ducks at E21, including 146 novel genes. There were 299 DEGs and 81 novel genes at E27, and 510 DEGs and 118 novel genes at 5 dph. A total of 43 DEGs were shared by both breeds at all time points, including 19 novel genes.We further considered the 393 genes with expression patterns in line with the muscle development curve in both breeds. these DEGs may be involved in the mechanisms responsible for the phenomenon of static or decreased breast muscle growth in duck breeds during the late embryonic period.
2016-10-21 | GSE88971 | GEO
Project description:The growth and development of duck skeletal muscle is an important economic trait that is genetically regulated. The internal mechanism underlying the regulation of skeletal muscle growth and development in ducks remains unclear. The purpose of this study was to identify candidate genes related to growth of duck skeletal muscle. RNA-sequencing technology was used to com-pare the transcriptome of duck breast muscles in an F2 population with the high breast muscle rate (HB) and the low breast muscle rate (LB). A total of 14,522 genes were confirmed to be ex-pressed in the breast muscle, and 173 differentially expressed genes (DEGs) were identified be-tween the HB and LB groups. Functional analysis showed that these DEGs were mainly involved in biological processes and pathways of fat metabolism and muscle growth, especially the FABP3 and MYL4 involved in the PPAR signaling pathway and cardiac muscle contraction pathway. These findings deepened our understanding of the molecular mechanisms involved in muscle growth in ducks, and provided a theoretical basis for improving duck production and breeding of ducks.
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Project description:Purpose:To understand the transcriptome regulator of duck spleen infected with duck enteritis virus (DEV).Methods:50-day-old ducks were inoculated with 100 titer (The TCID50 of DEV was 10-9/0.1mL) and 10-2 titer two different viral titer of DEV in leg muscle for different durations (66 h, 90 h and 114 h) and seronegative control (0 h) were analyzed using next-generation RNA sequencing.Furthermore, the data were validated using quantitative real-time PCR.Results:There were 534, 685 and 580 genes differentially expressed in 100 titer, moreover, 511, 485 and 531 differentially expressed genes (DEGs) were obtained from 10-2 titer for 66 h, 90 h and 114 h, respectively. These genes were mainly involved in functional categories including immune response, extracellular space, heparin binding, oxygen transport, extracellular region, cellular response to interleukin-4, MHC class II protein complex, antigen processing and presentation of peptide or polysaccharide antigen via MHC class II, and pathways such as ribosome, ECM-receptor interaction, cell adhesion molecules, JAk-STAT signaling pathway, PPAR signaling pathway, neuroactive ligand-receptor interaction, phagosome.Conclusions: Different titers of DEV infection can stimulate different biological processes and signaling pathways in the spleen, and regulated the complex biological processes, metabolic and signaling pathways in the process of DEV infection.This transcriptome analysis of duck spleen infected with DEV in different time points is reported for the first time, it laid the foundation for further understanding of interactions between DEV and duck spleen tissue, molecular mechanisms of duck defend against DEV infection, and screening key functional genes.
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Project description:The novel duck reovirus (NDRV) can cause hemorrhage and necrosis on the spleen of Pekin ducks, this disease has resulted in great economic losses to the duck industry. However, the molecular pathogenesis of NDRV remains poorly understood. In the current study, the quantitative proteomic analysis of NDRV-infected duck embryo fibroblasts was performed to explore the cellular protein changes in response to viral infection through iTRAQ coupled with the LC–MS/MS method. A total of 6,137 proteins were obtained in cell samples at 24 hours post infection. Of these, 179 differentially expressed proteins (DEPs) were identified (cutoff set to 1.5-fold change), including 89 upregulated and 90 downregulated proteins. Bioinformatic analysis showed that DEPs can be divided into the cellular component, molecular function, and biological process, they were mainly involved in the signal transduction, infectious diseases, cell growth and death, and the immune system. The subcellular localization of most proteins was cytoplasm. Importantly, the expression of signal transducer and activator of transcription 1 (STAT1) and various interferon-stimulated genes (ISGs) were upregulated after NDRV infection. The mRNA transcripts of some ISGs were consistent with proteomic data, showing an increased trend. Results of our study suggested that NDRV infection can elicit the strong expression changes of cellular proteins, and activate the expression of ISGs from the point of quantitative proteomic analysis. The study provides a new insight into the understanding of NDRV pathogenesis.
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Project description:The reads of duck transcripome was mapped to the duck genome and help to identify the UTR regions of predicted genes. The expression level difference between the tissue spleen and liver will help us to detect the immune-related and fatty acid metabolism related genes.
2013-04-01 | GSE22967 | GEO