Excel · study · 2026
TLR4 governs strain-specific transcriptional responses of bovine mammary epithelial cells challenged by Staphylococcus aureus and its small colony variant
Listed in NCBI GEO
Staphylococcus aureus small colony variants (SCVs) are metabolically adapted, slow-growing subpopulations responsible for chronic, recurrent bovine mastitis through enhanced intracellular persistence and immune evasion.
Description
The role of Toll-like receptor 4 (TLR4) in regulating bovine mammary epithelial transcriptional responses to S. aureus SCV challenge remains poorly understood. Using CRISPR-Cas9-generated TLR4-knockout (TLR4-KO) MAC-T cells combined with RNA sequencing, global transcriptional responses of wild-type (WT) and TLR4-KO MAC-T cells infected with S. aureus SCV Heba3231 and its isogenic parental strain (PS) were compared.
The WT cells mounted highly divergent S. aureus strain-specific responses, with only 0.5% overlap in differentially expressed genes between PS and SCV conditions. The PS infection induced apoptotic and HIF-1 signalling pathways, whereas SCV infection promoted lipid metabolic reprogramming, accompanied by suppression of epithelial barrier integrity genes. TLR4 disruption dramatically amplified transcriptional dysregulation, with a 192-fold increase for the PS (1,921 DEGs) and a 6.6-fold increase for SCV (2,279 DEGs) relative to WT infected controls.
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This revealed a large core set of TLR4-regulated genes with approximately 57% shared across S. aureus strains that govern innate immunity, structural homeostasis, and apoptotic coordination. WFDC2, ITGB3, SH3BGRL, and HKDC1 emerged as novel TLR4-dependent candidate genes. Collectively, these findings identify TLR4 as a key determinant of strain-specific transcriptional discrimination and epithelial homeostasis during S. aureus infection, with particular relevance to SCV-mediated persistence in bovine mastitis.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE334nnn/GSE334132 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE334132 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1473892 ncbi.nlm.nih.gov/bioproject/PRJNA1473892 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE334132 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |