An approach to analyze spatiotemporal patterns of gene expression at single-cell resolution in Candida albicans -infected mouse tongues.
Elena Lindemann-PerezDiana L RodríguezJ Christian PérezPublished in: mSphere (2024)
to overgrow and disseminate, causing either mucosal diseases such as oropharyngeal candidiasis or life-threatening systemic infections. Profiling fungal genes that are expressed in the infected mucosa or in any other infected organ is paramount to understand pathogenesis. Ideally, these transcript profiling measurements should reveal the expression of any gene at the single-cell level. The resolution typically achieved with current approaches, however, limits most gene expression measurements to cell population averages. The approach described in this report provides a means to dissect fungal gene expression in infected tissues at single-cell resolution.
Keyphrases
- single cell
- gene expression
- rna seq
- candida albicans
- dna methylation
- high throughput
- genome wide
- biofilm formation
- single molecule
- poor prognosis
- copy number
- genome wide identification
- transcription factor
- mesenchymal stem cells
- staphylococcus aureus
- stem cells
- long non coding rna
- pseudomonas aeruginosa
- bone marrow
- bioinformatics analysis