MicroRNA expression profiling of ovine epithelial cells stimulated with the Staphylococcus aureus in vitro.
Ghulam Asghar SajidMuhammad Jasim UddinSaif Adil Abbood Al-JanabiAbdiaziz Nur IbrahimMehmet Ulas CinarPublished in: Mammalian genome : official journal of the International Mammalian Genome Society (2024)
MicroRNAs (miRNAs) act as key gene expression regulators, influencing intracellular biological and pathological processes. They are of significant interest in animal genetics as potential biomarkers for animal selection and health. This study aimed to unravel the complex miRNA signature involved in mastitis in in vitro cell culture. For this purpose, we constructed a control and treatment model in ovarian mammary epithelial cells to analyze miRNA responses upon Staphylococcus aureus (S. aureus) stimulation. The high-throughput Illumina Small RNA protocol was employed, generating an average of 7.75 million single-end reads per sample, totaling 46.54 million reads. Standard bioinformatics analysis, including cleaning, filtering, miRNA quantification, and differential expression was performed using the miRbase database as a reference for ovine miRNAs. The results indicated differential expression of 63 miRNAs, including 33 up-regulated and 30 down-regulated compared to the control group. Notably, miR-10a, miR-10b, miR-21, and miR-99a displayed a significant differential expression (p ≤ 0.05) associated to signal transduction, transcriptional pathways, diseases of signal transduction by growth factor receptors and second messengers, MAPK signaling pathway, NF-κB pathway, TNFα, Toll Like Receptor 4 (TLR4) cascade, and breast cancer. This study contributes expanding miRNA databases, especially for sheep miRNAs, and identifies potential miRNA candidates for further study in biomarker identification for mastitis resistance and diagnosis.
Keyphrases
- toll like receptor
- signaling pathway
- staphylococcus aureus
- gene expression
- growth factor
- cell proliferation
- long non coding rna
- high throughput
- transcription factor
- nuclear factor
- pi k akt
- long noncoding rna
- bioinformatics analysis
- randomized controlled trial
- oxidative stress
- immune response
- public health
- rheumatoid arthritis
- dna methylation
- mental health
- young adults
- escherichia coli
- social media
- deep learning
- smoking cessation
- human health
- big data
- induced apoptosis
- heat stress
- heat shock protein