Literature DB >> 15006447

Use of a quantitative gene expression assay based on micro-array techniques and a mathematical model for the investigation of chlamydial generation time.

D P Wilson1, S Mathews, C Wan, A N Pettitt, D L S McElwain.   

Abstract

Chlamydia is an important pathogen which possesses a unique developmental cycle. We used real-time PCR technology to measure gene transcript levels in Chlamydia trachomatis strain L2. By measuring 16S rRNA transcript levels, and developing a mathematical model of the chlamydial developmental cycle fitting the data, we predict an average generation time of approximately 2.6 h. Additionally, potentially this modelling also provides the foundation for the application of emerging micro-array technology in which identification of the gene signals that trigger a chlamydial body to start replicating or transform to its infectious form can be made possible.

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Year:  2004        PMID: 15006447     DOI: 10.1016/j.bulm.2003.09.001

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  10 in total

1.  Novel Detection Strategy To Rapidly Evaluate the Efficacy of Antichlamydial Agents.

Authors:  Yan Zhang; Yuqi Xian; Leiqiong Gao; Hiba Elaasar; Yao Wang; Lamiya Tauhid; Ziyu Hua; Li Shen
Journal:  Antimicrob Agents Chemother       Date:  2017-01-24       Impact factor: 5.191

2.  Fitness cost due to mutations in the 16S rRNA associated with spectinomycin resistance in Chlamydia psittaci 6BC.

Authors:  Rachel Binet; Anthony T Maurelli
Journal:  Antimicrob Agents Chemother       Date:  2005-11       Impact factor: 5.191

3.  Fierce competition between Toxoplasma and Chlamydia for host cell structures in dually infected cells.

Authors:  Julia D Romano; Catherine de Beaumont; Jose A Carrasco; Karen Ehrenman; Patrik M Bavoil; Isabelle Coppens
Journal:  Eukaryot Cell       Date:  2012-12-14

4.  Chlamydial infection and spatial ascension of the female genital tract: a novel hybrid cellular automata and continuum mathematical model.

Authors:  Dann G Mallet; Kelly-Jean Heymer; Roger G Rank; David P Wilson
Journal:  FEMS Immunol Med Microbiol       Date:  2009-08-12

5.  A novel co-infection model with Toxoplasma and Chlamydia trachomatis highlights the importance of host cell manipulation for nutrient scavenging.

Authors:  Julia D Romano; Catherine de Beaumont; Jose A Carrasco; Karen Ehrenman; Patrik M Bavoil; Isabelle Coppens
Journal:  Cell Microbiol       Date:  2012-11-27       Impact factor: 3.715

6.  Conditional gene expression in Chlamydia trachomatis using the tet system.

Authors:  Jason Wickstrum; Lindsay R Sammons; Keasha N Restivo; P Scott Hefty
Journal:  PLoS One       Date:  2013-10-07       Impact factor: 3.240

7.  Early Transcriptional Landscapes of Chlamydia trachomatis-Infected Epithelial Cells at Single Cell Resolution.

Authors:  Regan J Hayward; James W Marsh; Michael S Humphrys; Wilhelmina M Huston; Garry S A Myers
Journal:  Front Cell Infect Microbiol       Date:  2019-11-19       Impact factor: 5.293

8.  A novel inhibitor of Chlamydophila pneumoniae protein kinase D (PknD) inhibits phosphorylation of CdsD and suppresses bacterial replication.

Authors:  Dustin L Johnson; Chris B Stone; David C Bulir; Brian K Coombes; James B Mahony
Journal:  BMC Microbiol       Date:  2009-10-14       Impact factor: 3.605

9.  Penicillin induced persistence in Chlamydia trachomatis: high quality time lapse video analysis of the developmental cycle.

Authors:  Rachel J Skilton; Lesley T Cutcliffen; David Barlow; Yibing Wang; Omar Salim; Paul R Lambden; Ian N Clarke
Journal:  PLoS One       Date:  2009-11-06       Impact factor: 3.240

10.  Spatial constraints within the chlamydial host cell inclusion predict interrupted development and persistence.

Authors:  Alexander Hoare; Peter Timms; Patrik M Bavoil; David P Wilson
Journal:  BMC Microbiol       Date:  2008-01-09       Impact factor: 3.605

  10 in total

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