Literature DB >> 14984776

Identification and characterization of Clostridium perfringens using single target DNA microarray chip.

Sufian F Al-Khaldi1, Doralis Villanueva, Vladimir Chizhikov.   

Abstract

A DNA microarray method was developed to identify the presence of toxin genes: encoding beta toxin (cpb), epsilon toxin (etx), enterotoxin (cpe), alpha toxin (cpa), and iota toxin (iA) in Clostridium perfringens. To build the DNA chip, each gene sequence was represented by one approximately 22-bp amino-modified oligonucleotide printed twice on aldehyde-coated slides. Multiplex PCR with Cy3 and Cy5-dCTP derivatized fluorescent nucleotides was used to label five genes and fluorescent probes were prepared. The PCR probes were denatured and single-strand-labeled DNAs were separated and purified using magnetic beads. The presence of toxin genes in C. perfringens was detected by hybridization of amplified ssDNA probes to oligonucleotides on the chip representing one target sequence of each toxin gene. The DNA chip was able to identify eight strains of C. perfringens.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 14984776     DOI: 10.1016/j.ijfoodmicro.2003.07.009

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  4 in total

1.  Food microbial pathogen detection and analysis using DNA microarray technologies.

Authors:  Avraham Rasooly; Keith E Herold
Journal:  Foodborne Pathog Dis       Date:  2008-08       Impact factor: 3.171

2.  Detection of Yersinia enterocolitica in alfalfa, mung bean, cilantro, and mamey sapote (Pouteria sapota) food matrices using DNA microarray chip hybridization.

Authors:  Nusrat Siddique; Devang Sharma; Sufian F Al-Khaldi
Journal:  Curr Microbiol       Date:  2009-06-06       Impact factor: 2.188

3.  DNA Microarray for Rapid Detection and Identification of Food and Water Borne Bacteria: From Dry to Wet Lab.

Authors:  Reza Ranjbar; Payam Behzadi; Ali Najafi; Raheleh Roudi
Journal:  Open Microbiol J       Date:  2017-11-30

Review 4.  Advanced biosensors for detection of pathogens related to livestock and poultry.

Authors:  Jasmina Vidic; Marisa Manzano; Chung-Ming Chang; Nicole Jaffrezic-Renault
Journal:  Vet Res       Date:  2017-02-21       Impact factor: 3.683

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.