<HashMap><database>biostudies-arrayexpress</database><scores/><additional><omics_type>Metabolomics</omics_type><omics_type>Unknown</omics_type><omics_type>Transcriptomics</omics_type><omics_type>Genomics</omics_type><omics_type>Proteomics</omics_type><submitter>James Griffiths</submitter><instrument_platform>NextSeq 2000</instrument_platform><study_type>RNA-seq of coding RNA from single cells</study_type><organism>Mus musculus</organism><species>Mus musculus</species><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-16924</full_dataset_link><description>Single-cell RNA sequencing was performed on murine oral tissue to characterise immune responses during Candida albicans infection. Control and IL-1RAcP knockout mice were analysed across a time course comprising naïve (uninfected), day 1, and day 2 post-infection samples. The dataset captures genotype-dependent differences in epithelial and immune cell populations and their transcriptional responses to infection. This study enables analysis of cell-type composition, activation states, and gene expression dynamics across infection and between genotypes.</description><repository>biostudies-arrayexpress</repository><sample_protocol>Sequencing - Libraries were sequenced on an Illumina platform according to standard 10x Genomics recommendations, generating paired-end reads (Read 1: cell barcode and UMI; Read 2: transcript sequence) along with index reads.</sample_protocol><sample_protocol>Library Construction - Single-cell RNA-seq libraries were prepared using the 10x Genomics Chromium platform (Single Cell 3′ Gene Expression, v3/v3.1 chemistry) according to the manufacturer’s instructions. Briefly, single cells were encapsulated into droplets with barcoded gel beads to generate Gel Bead-in-Emulsions (GEMs), followed by reverse transcription, cDNA amplification, and library construction.</sample_protocol><sample_protocol>Sample Collection - Mice were infected with Candida albicans as described in the main manuscript. At the indicated timepoints (naive, day 1, day 2 post-infection), tissues (tongue) were harvested, mechanically and enzymatically dissociated into single-cell suspensions, and filtered through a 40 µm cell strainer. Cell viability was assessed  prior to downstream processing.</sample_protocol><sample_protocol>Nucleic Acid Extraction - Single-cell suspensions were processed directly for library preparation. Cells were counted and viability confirmed (>85%) prior to loading onto the Chromium platform.</sample_protocol><figure_sub>Organization</figure_sub><figure_sub>MINSEQE Score</figure_sub><figure_sub>Assays and Data</figure_sub><figure_sub>MAGE-TAB Files</figure_sub><pubmed_authors>James Griffiths</pubmed_authors></additional><is_claimable>false</is_claimable><name>scRNA-seq of control and IL-1RAcP knockout across Candida infection timecourse</name><description>Single-cell RNA sequencing was performed on murine oral tissue to characterise immune responses during Candida albicans infection. Control and IL-1RAcP knockout mice were analysed across a time course comprising naïve (uninfected), day 1, and day 2 post-infection samples. The dataset captures genotype-dependent differences in epithelial and immune cell populations and their transcriptional responses to infection. This study enables analysis of cell-type composition, activation states, and gene expression dynamics across infection and between genotypes.</description><dates><release>2026-06-16T00:00:00Z</release><modification>2026-06-16T01:00:36.908Z</modification><creation>2026-04-17T09:27:50.898Z</creation></dates><accession>E-MTAB-16924</accession><cross_references><ENA>ERP192288</ENA><EFO>EFO_0002944</EFO><EFO>EFO_0004170</EFO><EFO>EFO_0005684</EFO><EFO>EFO_0005518</EFO><EFO>EFO_0004184</EFO></cross_references></HashMap>