ArticleBMC genomics2025
Unraveling key transposable elements in pathogen-induced bovine mastitis through comparative in vivo and in vitro transcriptomic analysis.
Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- A comprehensive map of the bovine mobilome and their epigenetic regulation of mastitis.Functional & integrative genomics · 2026Article
- Epigenetic and Epitranscriptomic Regulation of Mastitis in Dairy Cattle: A Review.Veterinary sciences · 2026Review
- Bacteriocins in Veterinary Medicine: From Antibiotic Limitations to Targeted Solutions.International journal of molecular sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundBovine mastitis poses significant hazards to the yield and quality of dairy products, severely hindering the development of the dairy industry. Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli) are well-established as two of the primary pathogens causing the disease. Transposable elements (TEs), occupying a notable proportion of livestock genomes, primarily function as regulatory elements modulating gene expression. Extensive studies have indicated that TEs contribute to transcriptional changes in the host during pathogen invasion. However, despite their potential significance, the key functional TEs associated with bovine mastitis remain unclear, highlighting the need to explore the critical roles of TEs in the immune processes of this disease.
resultsIn this study, in vitro and in vivo mastitis models were established using bovine mammary alveolar cells (Mac-T cells) and Chinese Holstein cows, respectively. In vitro findings showed distinct expression profiles of genes and TEs in response to challenges posed by S. aureus and E. coli. Specifically, 1,750 differentially expressed genes (DE Genes) and 3,046 differentially expressed TEs (DE TEs) were identified in the S. aureus challenge, while 2,353 DE Genes and 22,259 DE TEs were identified in the E. coli challenge. TEs were found to regulate the expression of genes primarily within immune-related pathways, including IL-17 and HIF-1 signaling pathways. TE-gene-QTL regulatory networks were established, providing preliminary insights into the molecular genetic mechanisms of TE regulation. By integrating in vitro and in vivo data, we identified and further validated two TE instances from MER53/DNA transposon and MIRc/SINE families as stably activated and repressed transcriptional markers for S. aureus mastitis, respectively.
conclusionsOur research underscores the potential regulatory roles of TEs in the pathogenesis of bovine mastitis and highlights their applicability as molecular markers for early diagnosis and prevention of this economically significant disease. Our study offers novel insights for the breeding and improvement of resistance to pathogen-induced mastitis in dairy cattle.
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.