Identifying infection-associated genes of Candida albicans in the postgenomic era

Duncan Wilson; Sascha Thewes; Katherina Zakikhany; Chantal Fradin; Antje Albrecht; Ricardo Almeida; Sascha Brunke; Katharina Grosse; Ronny Martin; Francois Mayer; Ines Leonhardt; Lydia Schild; Katja Seider; Melanie Skibbe; Silvia Slesiona; Betty Waechtler; Ilse Jacobsen; Bernhard Hube

doi:10.1111/j.1567-1364.2009.00524.x

Identifying infection-associated genes of Candida albicans in the postgenomic era

Duncan Wilson, Sascha Thewes, Katherina Zakikhany, Chantal Fradin, Antje Albrecht, Ricardo Almeida, Sascha Brunke, Katharina Grosse, Ronny Martin, Francois Mayer, Ines Leonhardt, Lydia Schild, Katja Seider, Melanie Skibbe, Silvia Slesiona, Betty Waechtler, Ilse Jacobsen, Bernhard Hube

Medical Sciences

Research output: Contribution to journal › Article › peer-review

97 Citations (Scopus)

Abstract

The human pathogenic yeast Candida albicans can cause an unusually broad range of infections reflecting a remarkable potential to adapt to various microniches within the human host. The exceptional adaptability of C. albicans is mediated by rapid alterations in gene expression in response to various environmental stimuli and this transcriptional flexibility can be monitored with tools such as microarrays. Using such technology it is possible to (1) capture a genome-wide portrait of the transcriptome that mirrors the environmental conditions, (2) identify known genes, signalling pathways and transcription factors involved in pathogenesis, (3) identify new patterns of gene expression and (4) identify previously uncharacterized genes that may be associated with infection. In this review, we describe the molecular dissection of three distinct stages of infections, covering both superficial and invasive disease, using in vitro, ex vivo and in vivo infection models and microarrays.

Original language	English
Pages (from-to)	688-700
Number of pages	13
Journal	FEMS Yeast Research
Volume	9
Issue number	5
Early online date	27 Apr 2009
DOIs	https://doi.org/10.1111/j.1567-1364.2009.00524.x
Publication status	Published - Aug 2009

Keywords

Candida albicans
Candidiasis
Fungal Proteins
Gene Expression Profiling
Gene Expression Regulation, Fungal
Humans
Virulence Factors
Host-Pathogen Interactions
Invasion
Gene Expression
Infection Models

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1111/j.1567-1364.2009.00524.x

Cite this

Wilson, D., Thewes, S., Zakikhany, K., Fradin, C., Albrecht, A., Almeida, R., Brunke, S., Grosse, K., Martin, R., Mayer, F., Leonhardt, I., Schild, L., Seider, K., Skibbe, M., Slesiona, S., Waechtler, B., Jacobsen, I., & Hube, B. (2009). Identifying infection-associated genes of Candida albicans in the postgenomic era. FEMS Yeast Research, 9(5), 688-700. https://doi.org/10.1111/j.1567-1364.2009.00524.x

Wilson, D, Thewes, S, Zakikhany, K, Fradin, C, Albrecht, A, Almeida, R, Brunke, S, Grosse, K, Martin, R, Mayer, F, Leonhardt, I, Schild, L, Seider, K, Skibbe, M, Slesiona, S, Waechtler, B, Jacobsen, I & Hube, B 2009, 'Identifying infection-associated genes of Candida albicans in the postgenomic era', FEMS Yeast Research, vol. 9, no. 5, pp. 688-700. https://doi.org/10.1111/j.1567-1364.2009.00524.x

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abstract = "The human pathogenic yeast Candida albicans can cause an unusually broad range of infections reflecting a remarkable potential to adapt to various microniches within the human host. The exceptional adaptability of C. albicans is mediated by rapid alterations in gene expression in response to various environmental stimuli and this transcriptional flexibility can be monitored with tools such as microarrays. Using such technology it is possible to (1) capture a genome-wide portrait of the transcriptome that mirrors the environmental conditions, (2) identify known genes, signalling pathways and transcription factors involved in pathogenesis, (3) identify new patterns of gene expression and (4) identify previously uncharacterized genes that may be associated with infection. In this review, we describe the molecular dissection of three distinct stages of infections, covering both superficial and invasive disease, using in vitro, ex vivo and in vivo infection models and microarrays.",

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KW - Invasion

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Identifying infection-associated genes of Candida albicans in the postgenomic era

Abstract

Keywords

UN SDGs

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