ArticleAnimals : an open access journal from MDPI2024
Integrated Lipidomics and Transcriptomics Analyses Reveal Key Regulators of Fat Deposition in Different Adipose Tissues of Geese (
Article in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Effects of Graded Hydroxylated Lecithin Supplementation on Growth Performance, Serum Lipid-Related Indices, Meat Quality, and Tissue-Specific Gene Expression in Jiangnan White Geese.Veterinary sciences · 2026Article
- Integrated Transcriptomic and Metabolomic Profiling Reveals Candidate Genes and Metabolites Associated with Abdominal Fat Deposition in Pekin Ducks.Animals : an open access journal from MDPI · 2026Article
- FABP4 regulates inflammation and lipid transport via PPARγ signaling pathway in goose primary hepatocytes.Poultry science · 2026Article
- Integrated transcriptomic and metabolomic analyses reveal the regulatory mechanism of subcutaneous fat deposition in Baicheng Oil chickens.Poultry science · 2026Article
- Article
- Effects of dietary protein levels on genes related to subcutaneous fat deposition and lipid metabolism in Tibetan sheep.BMC genomics · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The fat deposition of different adipose tissues is widely recognized as correlated, with distinct effects on meat quality traits and reproductive performance in poultry. In this study, we utilized lipidomics and transcriptomics analyses to investigate the heterogeneity and regulators of intramuscular fat (IMF), abdominal fat (AF), and subcutaneous fat (SF) in geese. Lipidomic profiling revealed 165, 129, and 77 differential lipid molecules (DLMs) between AF vs. IMF, SF vs. IMF, and SF vs. AF, respectively, with 47 common DLMs identified between AF vs. IMF and SF vs. IMF. Transcriptomic analysis identified 3369, 5758, and 131 differentially expressed genes (DEGs) between AF vs. IMF, SF vs. IMF, and SF vs. AF, respectively, with 2510 common DEGs identified between AF vs. IMF and SF vs. IMF. The KEGG results indicate that DLMs were predominantly enriched in glycerophospholipid and glycerolipid metabolism pathways, while DEGs were primarily enriched in metabolic pathways. Pearson correlation analysis identified
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