Literature DB >> 17042748

Use of DNA microarray technology and gene expression profiles to investigate the pathogenesis, cell biology, antifungal susceptibility and diagnosis of Candida albicans.

Javier Garaizar1, Sonia Brena, Joseba Bikandi, Aitor Rementeria, José Pontón.   

Abstract

The use of DNA microarrays is becoming the method of choice for assaying gene expression, particularly as costs and complexity are being reduced as the technology becomes more widespread and better standardized. A DNA array is nothing but a collection of probes fixed on a solid support. The probes can be PCR products of ORFs or short intragenic oligonucleotides deposited or synthesized in situ by photolithographic methods. To date, sequencing projects for fungal genomes have yielded 10 complete genomes and 21 whole shotgun sequences, including Candida albicans strain SC5314. Sequencing of the C. albicans genome has led to the construction of whole-genome DNA microarrays for in vitro transcription profiling by several universities and companies. The use of microarray or DNA chip techniques for Candida research has started recently but the number of studies using this technology is increasing rapidly, in order to address important remaining questions about pathogenesis, cell biology, antifungal susceptibility, and diagnosis.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 17042748     DOI: 10.1111/j.1567-1364.2006.00108.x

Source DB:  PubMed          Journal:  FEMS Yeast Res        ISSN: 1567-1356            Impact factor:   2.796


  11 in total

Review 1.  Candida peritonitis: an update on the latest research and treatments.

Authors:  Herman Anthony Carneiro; Anastasios Mavrakis; Eleftherios Mylonakis
Journal:  World J Surg       Date:  2011-12       Impact factor: 3.352

2.  Integrated imaging instrument for self-calibrated fluorescence protein microarrays.

Authors:  A P Reddington; M R Monroe; M S Ünlü
Journal:  Rev Sci Instrum       Date:  2013-10       Impact factor: 1.523

3.  High-throughput identification and quantification of Candida species using high resolution derivative melt analysis of panfungal amplicons.

Authors:  Tasneem Mandviwala; Rupali Shinde; Apoorv Kalra; Jack D Sobel; Robert A Akins
Journal:  J Mol Diagn       Date:  2009-12-10       Impact factor: 5.568

4.  Transcriptional profiling reveals the expression of novel genes in response to various stimuli in the human dermatophyte Trichophyton rubrum.

Authors:  Nalu T A Peres; Pablo R Sanches; Juliana P Falcão; Henrique C S Silveira; Fernanda G Paião; Fernanda C A Maranhão; Diana E Gras; Fernando Segato; Rodrigo A Cazzaniga; Mendelson Mazucato; Jeny R Cursino-Santos; Roseli Aquino-Ferreira; Antonio Rossi; Nilce M Martinez-Rossi
Journal:  BMC Microbiol       Date:  2010-02-08       Impact factor: 3.605

Review 5.  [Diagnosing fungal infections: trends and new developments].

Authors:  Birgit Willinger
Journal:  Wien Med Wochenschr       Date:  2007

6.  Gene overexpression/suppression analysis of candidate virulence factors of Candida albicans.

Authors:  Yue Fu; Guanpingsheng Luo; Brad J Spellberg; John E Edwards; Ashraf S Ibrahim
Journal:  Eukaryot Cell       Date:  2008-01-04

Review 7.  Environmental sensing and signal transduction pathways regulating morphopathogenic determinants of Candida albicans.

Authors:  Subhrajit Biswas; Patrick Van Dijck; Asis Datta
Journal:  Microbiol Mol Biol Rev       Date:  2007-06       Impact factor: 11.056

8.  Detection of protein-protein interactions through vesicle targeting.

Authors:  Jacob H Boysen; Saranna Fanning; Justin Newberg; Robert F Murphy; Aaron P Mitchell
Journal:  Genetics       Date:  2009-03-23       Impact factor: 4.562

Review 9.  Recent trends in molecular diagnostics of yeast infections: from PCR to NGS.

Authors:  Toni Gabaldón
Journal:  FEMS Microbiol Rev       Date:  2019-09-01       Impact factor: 16.408

10.  Cell-type-specific transcriptional profiles of the dimorphic pathogen Penicillium marneffei reflect distinct reproductive, morphological, and environmental demands.

Authors:  Shivani Pasricha; Michael Payne; David Canovas; Luke Pase; Nathamon Ngaosuwankul; Sally Beard; Alicia Oshlack; Gordon K Smyth; Sansanee C Chaiyaroj; Kylie J Boyce; Alex Andrianopoulos
Journal:  G3 (Bethesda)       Date:  2013-11-06       Impact factor: 3.154

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.