Literature DB >> 16088840

A simple approach for estimating gene expression in Candida albicans directly from a systemic infection site.

D Andes1, A Lepak, A Pitula, K Marchillo, J Clark.   

Abstract

Gene expression analysis after the host-pathogen interaction is revolutionizing our understanding of the host response to infection. Numerous studies have utilized microarray analysis to follow host cell transcriptome alterations in response to interactions with infectious pathogens. However, similar analyses of pathogen transcriptional adaptation at the infection site have been limited. Understanding the nature of this interaction from the pathogen perspective at different sites and stages of infection is central to strategies for development of new anti-infective therapies. Toward this end, we developed a protocol to analyze changes in gene expression for a eukaryotic pathogen, Candida albicans, during systemic infection in mice. The experimental approach takes advantage of the resistance of the cell wall of many fungal pathogens to cell lysis, relative to mammalian cells. After lysis of mammalian cells, the tissue mixture containing fungal cells is depleted of mammalian RNA by centrifugation, followed by enzymatic digestion. RNA-digesting enzymes are then inhibited before eukaryotic cell lysis and RNA isolation. The protocol provides a reproducible quantity of RNA based on pathogen cell number. The quality of the RNA allowed reliable downstream transcriptional analysis using reverse-transcription polymerase chain reaction and microarrays. The in vivo gene expression data confirmed involvement of several putative pathogenesis genes. More importantly, the results provided a wealth of biologically interesting hypotheses to direct future investigation.

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Year:  2005        PMID: 16088840     DOI: 10.1086/432104

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  27 in total

1.  In vivo fluconazole pharmacodynamics and resistance development in a previously susceptible Candida albicans population examined by microbiologic and transcriptional profiling.

Authors:  D Andes; A Lepak; J Nett; L Lincoln; K Marchillo
Journal:  Antimicrob Agents Chemother       Date:  2006-07       Impact factor: 5.191

2.  Aneuploid chromosomes are highly unstable during DNA transformation of Candida albicans.

Authors:  Kelly Bouchonville; Anja Forche; Karen E S Tang; Anna Selmecki; Judith Berman
Journal:  Eukaryot Cell       Date:  2009-08-21

3.  Transcriptional Profiling of Candida albicans in the Host.

Authors:  Kearney T W Gunsalus; Carol A Kumamoto
Journal:  Methods Mol Biol       Date:  2016

4.  Time course of microbiologic outcome and gene expression in Candida albicans during and following in vitro and in vivo exposure to fluconazole.

Authors:  A Lepak; J Nett; L Lincoln; K Marchillo; D Andes
Journal:  Antimicrob Agents Chemother       Date:  2006-04       Impact factor: 5.191

Review 5.  Budding off: bringing functional genomics to Candida albicans.

Authors:  Matthew Z Anderson; Richard J Bennett
Journal:  Brief Funct Genomics       Date:  2015-09-30       Impact factor: 4.241

6.  Regulation of polysaccharide utilization contributes to the persistence of group a streptococcus in the oropharynx.

Authors:  Samuel A Shelburne; Nnaja Okorafor; Izabela Sitkiewicz; Paul Sumby; David Keith; Payal Patel; Celest Austin; Edward A Graviss; James M Musser
Journal:  Infect Immun       Date:  2007-04-02       Impact factor: 3.441

7.  Isolation of Blastomyces dermatitidis yeast from lung tissue during murine infection for in vivo transcriptional profiling.

Authors:  Amber J Marty; Marcel Wüthrich; John C Carmen; Thomas D Sullivan; Bruce S Klein; Christina A Cuomo; Gregory M Gauthier
Journal:  Fungal Genet Biol       Date:  2013-03-14       Impact factor: 3.495

8.  Molecular characterization of group A Streptococcus maltodextrin catabolism and its role in pharyngitis.

Authors:  Samuel A Shelburne; David B Keith; Michael T Davenport; Nicola Horstmann; Richard G Brennan; James M Musser
Journal:  Mol Microbiol       Date:  2008-07       Impact factor: 3.501

9.  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

10.  Genome-wide analysis of Candida albicans gene expression patterns during infection of the mammalian kidney.

Authors:  Louise A Walker; Donna M Maccallum; Gwyneth Bertram; Neil A R Gow; Frank C Odds; Alistair J P Brown
Journal:  Fungal Genet Biol       Date:  2008-11-06       Impact factor: 3.495

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