ArticleAnimals : an open access journal from MDPI2023
Integrative Analysis of Blood Transcriptomics and Metabolomics Reveals Molecular Regulation of Backfat Thickness in Qinchuan Cattle.
Article in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Multi-omics analysis reveals the effects of prenatal nutrition on carcass-related tissues in beef cattle.Scientific reports · 2025Article
- Differential lipid metabolism in beef cattle: A comparative study of high and low residual feed intake bulls.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2025Article
- Discrepancies in gut microbial communities and serum metabolites of Hu sheep with different backfat thickness.Frontiers in microbiology · 2025Article
- Genome-wide analysis reveals genomic diversity and signatures of selection in Qinchuan beef cattle.BMC genomics · 2024Article
- Transcriptomics and metabolomics of blood, urine and ovarian follicular fluid of yak at induced estrus stage.BMC genomics · 2024Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
A crucial goal of reducing backfat thickness (BFT) is to indirectly improve feed conversion efficiency. This phenotype has been reported in certain papers; however, the molecular mechanism has yet to be fully revealed. Two extreme BFT groups, consisting of four Qinchuan cattle, were chosen for this study. We performed metabolite and transcriptome analyses of blood from cattle with a high BFT (H-BFT with average = 1.19) and from those with a low BFT (L-BFT with average = 0.39). In total, 1106 differentially expressed genes (DEGs) and 86 differentially expressed metabolites (DEMs) were identified in the extreme trait. In addition, serum ceramide was strongly correlated with BFT and could be used as a potential biomarker. Moreover, the most notable finding was that the functional genes (
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Registered trials
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