mDrop-seq: Massively parallel single-cell RNA-seq of Saccharomyces Cerevisiae and Candida Albicans

We present microbial Drop-seq or mDrop-seq, a high-throughput scRNA-seq technique that is used on two yeast species, Saccharomyces cerevisiae, a popular model organism and Candida albicans, a common opportunistic pathogen. We benchmarked mDrop-seq for sensitivity and specificity and used it to profile 35,109 S. cerevisiae cells to detect variation in mRNA levels between them. As a proof of concept, we quantified expression differences in heat-shocked S. cerevisiae using mDrop-seq. We detected differential activation of stress response genes within a seemingly homogenous population of S. cerevisiae under heat-shock. We also applied mDrop-seq to C. albicans cells, a polymorphic and clinically relevant yeast species with thicker cell wall compared to S. cerevisiae. Single cell transcriptomes in 39,705 C. albicans cells was characterized using mDrop-seq under different conditions, including exposure to fluconazole, a common anti-fungal drug. Overall design: scRNA-seq data of S. cerevisiae with and without heat shock treatment and C. albicans with and without fluconazole treatment.

Identifier
Source https://data.blue-cloud.org/search-details?step=~01281422F20C7AB548574F65C53DD59A9705AD8A9EE
Metadata Access https://data.blue-cloud.org/api/collections/81422F20C7AB548574F65C53DD59A9705AD8A9EE
Provenance
Instrument NextSeq 500; ILLUMINA
Publisher Blue-Cloud Data Discovery & Access service; ELIXIR-ENA
Publication Year 2024
OpenAccess true
Contact blue-cloud-support(at)maris.nl
Representation
Discipline Marine Science
Temporal Coverage Begin 2020-07-23T00:00:00Z
Temporal Coverage End 2021-06-16T00:00:00Z