Excel · study · 2026
Differential requirement for the Ire1 luminal and transmembrane domains in Candida albicans drug resistance and pathogenicity
Listed in NCBI GEO
The opportunistic human pathogen Candida albicans depends on the unfolded protein response (UPR) for cell wall integrity, antifungal tolerance, filamentous growth, and virulence.
Description
The UPR is driven by the conserved transmembrane sensor Ire1, which is activated either by misfolded proteins through its luminal domain or by lipid bilayer stress (LBS) through its transmembrane domain. In budding yeast, these two activation methods deploy divergent transcriptional programs.
Whether these activation modes are functionally separable in C. albicans, where the cell membrane and cell wall are themselves the targets of major antifungal drug classes, remains unknown. Here, we engineered a C. albicans strain expressing Ire1 lacking an intact luminal domain (ire1ΔLD), rendering the sensor responsive to LBS but unable to detect proteotoxic stress. The ire1ΔLD strain tolerated membrane stress induced by the azole antifungals fluconazole and miconazole but was highly sensitive to heat shock and cell wall stress.
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It was also unable to sustain filamentous growth or full virulence. RNA sequencing revealed only modest changes to the steady-state transcriptome of ire1ΔLD cells. Together, these findings define a differential requirement for the C. albicans Ire1 luminal and transmembrane domains that uncouples membrane stress adaptation from the virulence-associated outputs of the full-length receptor, an insight that could inform antifungal strategies targeting the UPR.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE336nnn/GSE336334 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE336334 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1481423 ncbi.nlm.nih.gov/bioproject/PRJNA1481423 ↗
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 | GSE336334 | 15 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 |