ArticleBMC genomics2014
Transcriptional profiling of mammary gland in Holstein cows with extremely different milk protein and fat percentage using RNA sequencing.
Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.
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Who cites it
86 citing papers in PubMed, 147 citations in OpenAlex.
- Pan-tissue transcriptomic profiling of dairy cattle.Journal of animal science and biotechnology · 2026Article
- Integrated selection scans and cis-eQTL analyses reveal genes and variants associated with milk quality, immunity, and adaptation in endangered Dengchuan cattle.BMC genomics · 2026Article
- Exploratory identification of coding and splicing-related SNV variants in A1A1 and A2A2 β-casein Holstein dairy cows.Journal of animal science · 2026Article
- N-carbamylglutamate (NCG) supplementation in low-protein diets improving egg quality by regulating protein metabolism pathway of oviduct in laying hens.Frontiers in cell and developmental biology · 2026Article
- Integrated DNA Methylation and Transcriptome Analysis Reveals Epigenetic Mechanisms of Lactation Performance Differences in Cloned Buffalo.International journal of molecular sciences · 2025Article
- Identification of alternative splicing events in cows with A1A1 and A2A2 β-casein genotypes using large gap read mapping.BMC genomics · 2025Article
- Transcriptomic profiling of milk fat globules in cows with different β-casein genotypes.Scientific reports · 2025Article
- Transcriptomic and Proteomic Insights Into Buffalo Milk Fat Synthesis and the Role of IGFBP4 in BMECs.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Article
- Characterization of mammary glands and milk fat globule transcripts in lactating buffalo and goats.Food chemistry. Molecular sciences · 2025Article
- Preservation of milk in liquid nitrogen during sample collection does not affect the RNA quality for RNA-seq analysis.BMC genomics · 2025Article
- Transcriptional profiling of milk fat synthesis in mammary gland of dairy cows with different forage quality using RNA sequencing.Frontiers in veterinary science · 2025Article
- Transcriptomic analysis of mammary gland tissues in lactating and non-lactating dairy goats reveals miRNA-mediated regulation of lactation, involution, and remodeling.Frontiers in cell and developmental biology · 2025Article
- Revealing gene expression links between milk fat globules and mammary glands in rodents via transcriptomics.Frontiers in veterinary science · 2025Article
- Polymorphism of theAnimals : an open access journal from MDPI · 2024Article
- Transfer Learning in Multiple Hypothesis Testing.Entropy (Basel, Switzerland) · 2024Article
- Livestock species as emerging models for genomic imprinting.Frontiers in cell and developmental biology · 2024Review
- Identification of milk-related genes and regulatory networks in Bactrian camel either supplemented or under grazing.Tropical animal health and production · 2023Article
- Transcriptome Profile in Dairy Cows Resistant or Sensitive to Milk Fat Depression.Animals : an open access journal from MDPI · 2023Article
- Transcriptomics and Selection Pressure Analysis Reveals the Influence Mechanism of PLIN1 Protein on the Development of Small Size in Min Pigs.International journal of molecular sciences · 2023Article
- MicroRNAs in Ruminants and Their Potential Role in Nutrition and Physiology.Veterinary sciences · 2023Review
26 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecently, RNA sequencing (RNA-seq) has rapidly emerged as a major transcriptome profiling system. Elucidation of the bovine mammary gland transcriptome by RNA-seq is essential for identifying candidate genes that contribute to milk composition traits in dairy cattle.
resultsWe used massive, parallel, high-throughput, RNA-seq to generate the bovine transcriptome from the mammary glands of four lactating Holstein cows with extremely high and low phenotypic values of milk protein and fat percentage. In total, we obtained 48,967,376-75,572,578 uniquely mapped reads that covered 82.25% of the current annotated transcripts, which represented 15549 mRNA transcripts, across all the four mammary gland samples. Among them, 31 differentially expressed genes (p < 0.05, false discovery rate q < 0.05) between the high and low groups of cows were revealed. Gene ontology and pathway analysis demonstrated that the 31 differently expressed genes were enriched in specific biological processes with regard to protein metabolism, fat metabolism, and mammary gland development (p < 0.05). Integrated analysis of differential gene expression, previously reported quantitative trait loci, and genome-wide association studies indicated that TRIB3, SAA (SAA1, SAA3, and M-SAA3.2), VEGFA, PTHLH, and RPL23A were the most promising candidate genes affecting milk protein and fat percentage.
conclusionsThis study investigated the complexity of the mammary gland transcriptome in dairy cattle using RNA-seq. Integrated analysis of differential gene expression and the reported quantitative trait loci and genome-wide association study data permitted the identification of candidate key genes for milk composition traits.
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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.