| DB ID | MyCo_1244 |
| Title | Identification of differentially expressed genes and signaling pathways with Candida infection by bioinformatics analysis |
| Year | 2022 |
| PMID | 35314002 |
| Fungal Diseases involved | Candida infection |
| Associated Medical Condition | None |
| Genus | Candida |
| Species | albicans |
| Organism | Candida albicans |
| Ethical Statement | Not applicable. |
| Site of Infection | None |
| Opportunistic invasive | None |
| Sample type | None |
| Sample source | None |
| Host Group | None |
| Host Common name | None |
| Host Scientific name | None |
| Biomarker Name | JUNB |
| Biomarker Full Name | JUNB |
| Biomarker Type | Diagnostic |
| Biomolecule | Protein |
| Geographical Location | China |
| Cohort | None |
| Cohort No. | None |
| Age Group | None |
| P Value | None |
| Sensitivity | None |
| Specificity | None |
| Positive Predictive Value | None |
| MIC | None |
| Fold Change | None |
| Pathway | None |
| Disease Introduction Mechanism | None |
| Technique | Bioinformatics analysis |
| Analysis Method | Bioinformatics Analysis |
| ELISA kits | None |
| Assay Data | None |
| Validation Techniques used | Bioinformatics Analysis |
| Up Regulation Down Regulation | Positive |
| Sequence Data | None |
| External Link | None |
