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E-GEOD-49310 - The Transcriptional Stress Response of Candida albicans to Weak Organic Acids

Released on 28 January 2015, last updated on 12 March 2015
Candida albicans
Samples (96)
Protocols (4)
Candida albicans is the most important fungal pathogen of humans, causing severe infections especially in nosocomial and immunocompromised settings. However, it is also the most prevalent fungus of the normal human microbiome, where it shares its habitat with hundreds of trillions of other microbial cells. Despite weak organic acids (WOAs) being among the most abundant metabolites produced by bacterial microbiota, little is known about their effect on C. albicans. Here we employed a sequencing-based profiling strategy to systematically investigate the transcriptional stress response of C. albicans to lactic, acetic, propionic and butyric acid at several time points after treatment. Our data reveal a complex transcriptional response, with individual WOAs triggering unique gene expression profiles and with important differences between acute and chronic exposure. In spite of all these dissimilarities, we found significant overlaps between the gene expression changes induced by each WOA, which lead us to uncover a core transcriptional signature that was unrelated to the general response to low pH. Genes commonly up-regulated by WOAs were enriched in several iron transporters, which was associated with an overall decrease in intracellular iron concentrations. Moreover, chronic exposure to any WOA lead to down-regulation of RNA synthesis and ribosome biogenesis genes, which resulted in significant reduction of total RNA levels in general and of ribosomal RNA in particular. In conclusion, this study suggests that GI microbiota might directly influence C. albicans physiology via production of WOAs, with possible implications of how this fungus interacts with its hosts in both health and disease. Transcriptional profiling of wild-type Candida albicans strain SC5314 under 6 differents condition (2 controls, 4 weak acids) at 4 time points by cDNA deep-sequencing, with 4 biological replicates, on the Illumina HiSeq 2000 platform. 96 total samples were sequenced (6 x 4 x 4).
Experiment type
RNA-seq of coding RNA 
Alrina S Tan, Fabien Cottier, Francesca Zolezzi, Jinmiao Chen, Josephine Lum, Michael Poidinger, Norman Pavelka
Exp. designProtocolsVariablesProcessedSeq. reads
Investigation descriptionE-GEOD-49310.idf.txt
Sample and data relationshipE-GEOD-49310.sdrf.txt
Additional data (1)