ArticleFunctional & integrative genomics2018
Transcriptomic profiles of the bovine mammary gland during lactation and the dry period.
Article in Functional & integrative genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 66 citations in OpenAlex.
- Article
- Integrating omics and functional data via representation learning to prioritize candidate genes for pleiotropic effect in dairy sheep.PNAS nexus · 2025Article
- The key role of acss1 in mammary gland development and lactation: a study based on gene co-expression network analysis.BMC genomics · 2025Article
- DCMS analysis revealed differential selection signatures in the transboundary Sahiwal cattle for major economic traits.Scientific reports · 2025Article
- Integrated gene co-expression network analysis and experimental validation identified integrin beta 1 as a candidate gene affecting milk production in dairy cattle.Journal of animal science · 2025Article
- Identification and Analysis of Circular RNAs in Mammary Gland from Yaks Between Lactation and Dry Period.Animals : an open access journal from MDPI · 2025Article
- Advancements in the Application of scRNA-Seq in Breast Research: A Review.International journal of molecular sciences · 2024Review
- Comprehensive genetic analysis and predictive evaluation of milk electrical conductivity for subclinical mastitis in Chinese Holstein cows.BMC genomics · 2024Article
- Stress-induced epigenetic effects driven by maternal lactation in dairy cattle: a comethylation network approach.Epigenetics · 2024Article
- Integration of selective sweeps across the sheep genome: understanding the relationship between production and adaptation traits.Genetics, selection, evolution : GSE · 2024Article
- Investigation of lncRNA inGenes · 2023Article
- The functional and regulatory entities underlying free and peptide-bound amino acid transporters in the bovine mammary gland.JDS communications · 2023Review
- Transcriptome Analysis of Goat Mammary Gland Tissue Reveals the Adaptive Strategies and Molecular Mechanisms of Lactation and Involution.International journal of molecular sciences · 2022Article
- Mammary epithelial cell transcriptome reveals potential roles of lncRNAs in regulating milk synthesis pathways in Jersey and Kashmiri cattle.BMC genomics · 2022Article
- Screening and Conjoint Analysis of Key lncRNAs for Milk Fat Metabolism in Dairy Cows.Frontiers in genetics · 2022Article
- Identification and functional analysis of mFrontiers in cell and developmental biology · 2022Article
- Regulation of Milk Protein Synthesis by Free and Peptide-Bound Amino Acids in Dairy Cows.Biology · 2021Review
- Transcriptomic in silico analysis of bovine Escherichia coli mastitis highlights its immune-related expressed genes as an effective biomarker.Journal, genetic engineering & biotechnology · 2021Article
- In silico identification of variations in microRNAs with a potential impact on dairy traits using whole ruminant genome SNP datasets.Scientific reports · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
The initiation and maintenance of lactation are complex phenomena governed by biochemical and endocrine processes in the mammary gland (MG). Although DNA-based approaches have been used to study the onset of lactation, more comprehensive RNA-based techniques may be critical in furthering our understanding of gene alterations that occur to support lactation in the bovine MG. To further determine how gene profiles vary during lactation compared with the dry period, RNA-seq transcriptomic analysis was used to identify differentially expressed genes (DEG) in bovine MG tissues from animals that were lactating and not lactating. A total of 881 DEG (605 upregulated and 276 downregulated) were identified in MG of 3 lactating Chinese Holstein dairy cows versus the 3 dry cows. The subcellular analysis showed that the upregulated genes were most abundantly located in "integral to membrane" and "mitochondrion," and the top number of downregulated genes existed in "nucleus" and "cytoplasm." The functional analysis indicated that the DEG were primarily associated with the support of lactation processes. The genes in higher abundance were most related to "metabolic process," "oxidation-reduction process," "transport" and "signal transduction," protein synthesis-related processes (transcription, translation, protein modifications), and some MG growth-associated processes (cell proliferation/cycle/apoptosis). The downregulated genes were mainly involved in immune-related processes (inflammatory/immune/defense responses). The KEGG analysis suggested that protein synthesis-related pathways (such as protein digestion and absorption; protein processing in endoplasmic reticulum; and glycine, serine, and threonine metabolism) were highly and significantly enriched in the bovine MG of lactating cows compared to dry cows. The results suggested that the dry cows had decreased capacity for protein synthesis, energy generation, and cell growth but enhanced immune response. Collectively, this reduced capacity in dry cows supports the physiological demands of the next lactation and the coordinated metabolic changes that occur to support these demands. A total of 51 identified DEG were validated by RT-PCR, and consistent results were found between RT-PCR and the transcriptomic analysis. This work provides a profile of gene-associated changes that occur during lactation and can be used to facilitate further investigation of the mechanisms underlying lactation in dairy cows.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.