Literature DB >> 17127270

Bacterial DNA microarrays for clinical microbiology: the early logarithmic phase.

Marco Cassone1, Antonio Giordano, Gianni Pozzi.   

Abstract

In this era of coexistence of high-throughput sequencing technologies and serious difficulties in the management of both common and novel infectious syndromes, new techniques which improve the study of micro-organisms is timely. In bacteriology, the most important subjects are bacterial pathogenicity, discovery of the genomic complexity of bacteria, and the epidemiology of antimicrobial resistance traits. From the clinical point of view, genetic testing is flanking phenotypic testing for the assessment of new, difficult to test antibiotic resistance traits, and for correlations with the microbial behaviour in vivo. The demand for faster, comprehensive and highly parallel microbial diagnostics is also cogent even at the basic laboratory level, where the ultimate objective is saving lives. In this setting, DNA microarrays offer a pivotal contribution by allowing performance of hybridization experiments in highly parallel formats, with an increasing reliability. Not only they are useful in deciphering host and microbial pathophysiology, they can also make the difference in the management of prognostic and therapeutic aspects of many diseases. Here, we provide an overview of the current use and the potential of DNA microarrays in clinical bacteriology, and several applications and technical solutions are discussed.

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Year:  2007        PMID: 17127270     DOI: 10.2741/2262

Source DB:  PubMed          Journal:  Front Biosci        ISSN: 1093-4715


  4 in total

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2.  Development of a DNA microarray to detect antimicrobial resistance genes identified in the National Center for Biotechnology Information database.

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Journal:  Microb Drug Resist       Date:  2010-03       Impact factor: 3.431

3.  Evaluation of the coverage and depth of transcriptome by RNA-Seq in chickens.

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Journal:  BMC Bioinformatics       Date:  2011-10-18       Impact factor: 3.169

4.  Transcriptomic profiling reveals gene expression in human peripheral blood after exposure to low-dose ionizing radiation.

Authors:  Fang Fang; Xiaoling Yu; Xiaochun Wang; Xiaojun Zhu; Lantao Liu; Li Rong; Dongsheng Niu; Jue Li
Journal:  J Radiat Res       Date:  2022-01-20       Impact factor: 2.724

  4 in total

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