ArticleBMC genomics2019
Dynamics of transcriptome changes during subcutaneous preadipocyte differentiation in ducks.
Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 24 citations in OpenAlex.
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- Understanding lncRNAs: key regulators of myogenesis and lipogenesis in farm animals.Frontiers in veterinary science · 2025Review
- The Application of Duck Embryonic Fibroblasts CCL-141 as a Cell Model for Adipogenesis.Animals : an open access journal from MDPI · 2024Article
- Article
- A novel candidate gene CLN8 regulates fat deposition in avian.Journal of animal science and biotechnology · 2023Article
- Transcriptome shifts triggered by vitamin A and SCD genotype interaction in Duroc pigs.BMC genomics · 2022Article
- Three chromosome-level duck genome assemblies provide insights into genomic variation during domestication.Nature communications · 2021Article
- MYOD1 inhibits avian adipocyte differentiation via miRNA-206/KLF4 axis.Journal of animal science and biotechnology · 2021Article
- The Full-Length Transcriptome Provides New Insights Into the Transcript Complexity of Abdominal Adipose and Subcutaneous Adipose in Pekin Ducks.Frontiers in physiology · 2021Article
- Genome-Wide Co-Expression Distributions as a Metric to Prioritize Genes of Functional Importance.Genes · 2020Article
- Activating PIK3CA mutation promotes adipogenesis of adipose-derived stem cells in macrodactyly via up-regulation of E2F1.Cell death & disease · 2020Article
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundPekin duck is an important animal model for its ability for fat synthesis and deposition. However, transcriptional dynamic regulation of adipose differentiation driven by complex signal cascades remains largely unexplored in this model. This study aimed to explore adipogenic transcriptional dynamics before (proliferation) and after (differentiation) initial preadipocyte differentiation in ducks.
resultsExogenous oleic acid alone successfully induced duck subcutaneous preadipocyte differentiation. We explored 36 mRNA-seq libraries in order to study transcriptome dynamics during proliferation and differentiation processes at 6 time points. Using robust statistical analysis, we identified 845, 652, 359, 2401 and 1933 genes differentially expressed between -48 h and 0 h, 0 h and 12 h, 12 h and 24 h, 24 h and 48 h, 48 h and 72 h, respectively (FDR < 0.05, FC > 1.5). At the proliferation stage, proliferation related pathways and basic cellular and metabolic processes were inhibited, while regulatory factors that initiate differentiation enter the ready-to-activate state, which provides a precondition for initiating adipose differentiation. According to weighted gene co-expression network analysis, pathways positively related to adipogenic differentiation are significantly activated at the differentiation stage, while WNT, FOXO and other pathways that inhibit preadipocyte differentiation are negatively regulated. Moreover, we identified and classified more than 100 transcription factors that showed significant changes during differentiation, and found novel transcription factors that were not reported to be related to preadipoctye differentiation. Finally, we manually assembled a proposed regulation network model of subcutaneous preadipocyte differentiation base on the expression data, and suggested that E2F1 may serve as an important link between the processes of duck subcutaneous preadipocyte proliferation and differentiation.
conclusionsFor the first time we comprehensively analyzed the transcriptome dynamics of duck subcutaneous preadipocyte proliferation and differentiation. The current study provides a solid basis for understanding the synthesis and deposition of subcutaneous fat in ducks. Furthermore, the information generated will allow future investigations of specific genes involved in particular stages of duck adipogenesis.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.