Literature DB >> 14766904

RT-PCR detection of Candida albicans ALS gene expression in the reconstituted human epithelium (RHE) model of oral candidiasis and in model biofilms.

Clayton B Green1, Georgina Cheng, Jyotsna Chandra, Pranab Mukherjee, Mahmoud A Ghannoum, Lois L Hoyer.   

Abstract

An RT-PCR assay was developed to analyse expression patterns of genes in the Candida albicans ALS (agglutinin-like sequence) family. Inoculation of a reconstituted human buccal epithelium (RHE) model of mucocutaneous candidiasis with strain SC5314 showed destruction of the epithelial layer by C. albicans and also formation of an upper fungal layer that had characteristics similar to a biofilm. RT-PCR analysis of total RNA samples extracted from C. albicans-inoculated buccal RHE showed that ALS1, ALS2, ALS3, ALS4, ALS5 and ALS9 were consistently detected over time as destruction of the RHE progressed. Detection of transcripts from ALS7, and particularly from ALS6, was more sporadic, but not associated with a strictly temporal pattern. The expression pattern of ALS genes in C. albicans cultures used to inoculate the RHE was similar to that observed in the RHE model, suggesting that contact of C. albicans with buccal RHE does little to alter ALS gene expression. RT-PCR analysis of RNA samples extracted from model denture and catheter biofilms showed similar gene expression patterns to the buccal RHE specimens. Results from the RT-PCR analysis of biofilm RNA specimens were consistent between various C. albicans strains during biofilm development and were comparable to gene expression patterns in planktonic cells. The RT-PCR assay described here will be useful for analysis of human clinical specimens and samples from other disease models. The method will provide further insight into the role of ALS genes and their encoded proteins in the diverse interactions between C. albicans and its host.

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Year:  2004        PMID: 14766904     DOI: 10.1099/mic.0.26699-0

Source DB:  PubMed          Journal:  Microbiology        ISSN: 1350-0872            Impact factor:   2.777


  44 in total

Review 1.  Candida biofilms: an update.

Authors:  Gordon Ramage; Stephen P Saville; Derek P Thomas; José L López-Ribot
Journal:  Eukaryot Cell       Date:  2005-04

2.  Models of oral and vaginal candidiasis based on in vitro reconstituted human epithelia.

Authors:  Martin Schaller; Katherina Zakikhany; Julian R Naglik; Günther Weindl; Bernhard Hube
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

3.  In vivo and in vitro anaerobic mating in Candida albicans.

Authors:  Raluca Dumitru; Dhammika H M L P Navarathna; Camile P Semighini; Christian G Elowsky; Razvan V Dumitru; Daniel Dignard; Malcolm Whiteway; Audrey L Atkin; Kenneth W Nickerson
Journal:  Eukaryot Cell       Date:  2007-01-26

Review 4.  Candida albicans cell wall proteins.

Authors:  W LaJean Chaffin
Journal:  Microbiol Mol Biol Rev       Date:  2008-09       Impact factor: 11.056

5.  The role of Mss11 in Candida albicans biofilm formation.

Authors:  Pei-Wen Tsai; Yu-Ting Chen; Cheng-Yao Yang; Hsueh-Fen Chen; Te-Sheng Tan; Tzung-Wei Lin; Wen-Ping Hsieh; Chung-Yu Lan
Journal:  Mol Genet Genomics       Date:  2014-04-22       Impact factor: 3.291

Review 6.  Human skin models: From healthy to disease-mimetic systems; characteristics and applications.

Authors:  Tânia Moniz; Sofia A Costa Lima; Salette Reis
Journal:  Br J Pharmacol       Date:  2020-08-19       Impact factor: 8.739

7.  Conserved WCPL and CX4C domains mediate several mating adhesin interactions in Saccharomyces cerevisiae.

Authors:  Guohong Huang; Stephen D Dougherty; Scott E Erdman
Journal:  Genetics       Date:  2009-03-18       Impact factor: 4.562

8.  Cell surface changes in the Candida albicans mitochondrial mutant goa1Δ are associated with reduced recognition by innate immune cells.

Authors:  Xiaodong She; Lulu Zhang; Hui Chen; Richard Calderone; Dongmei Li
Journal:  Cell Microbiol       Date:  2013-03-28       Impact factor: 3.715

Review 9.  Pathogenesis of mucosal biofilm infections: challenges and progress.

Authors:  Anna Dongari-Bagtzoglou
Journal:  Expert Rev Anti Infect Ther       Date:  2008-04       Impact factor: 5.091

10.  Real-time PCR expression profiling of genes encoding potential virulence factors in Candida albicans biofilms: identification of model-dependent and -independent gene expression.

Authors:  Heleen Nailis; Sona Kucharíková; Markéta Ricicová; Patrick Van Dijck; Dieter Deforce; Hans Nelis; Tom Coenye
Journal:  BMC Microbiol       Date:  2010-04-16       Impact factor: 3.605

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