Virulence signatures: microarray-based approaches to discovery and analysis

被引:8
|
作者
Pannucci, J [1 ]
Cai, H [1 ]
Pardington, PE [1 ]
Williams, E [1 ]
Okinaka, RT [1 ]
Kuske, CR [1 ]
Cary, RB [1 ]
机构
[1] Los Alamos Natl Lab, Biosci Div, Los Alamos, NM 87545 USA
来源
BIOSENSORS & BIOELECTRONICS | 2004年 / 20卷 / 04期
关键词
bacillus anthracis; virulence; pathogenesis microarray; detection; gene expression; polymorphism; biothreat;
D O I
10.1016/j.bios.2004.04.005
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Rapid, accurate, and sensitive detection of biothreat agents requires a broad-spectrum assay capable of discriminating between closely related microbial or viral pathogens. Moreover, in cases where a biological agent release has been identified, forensic analysis demands detailed genetic signature data for accurate strain identification and attribution. To date, nucleic acid sequences have provided the most robust and phylogentically illuminating signature information. Nucleic acid signature sequences are not often linked to genomic or extrachromosomal determinants of virulence, a link that would further facilitate discrimination between pathogens and closely related species. Inextricably coupling genetic determinants of virulence with highly informative nucleic acid signatures would provide a robust means of identifying human, livestock, and agricultural pathogens. By means of example, we present here an overview of two general applications of microarray-based methods for: (1) the identification of candidate virulence factors; and (2) the analysis of genetic polymorphisms that are coupled to Bacillus anthracis virulence factors using an accurate, low cost solid-phase mini-sequencing assay. We show that microarray-based analysis of gene expression can identify potential virulence associated genes for use as candidate signature targets, and, further, that microarray-based single nucleotide polymorphism assays provide a robust platform for the detection and identification of signature sequences in a manner independent of the genetic background in which the signature is embedded. We discuss the strategy as a general approach or pipeline for the discovery of virulence-linked nucleic acid signatures for biothreat agents. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:706 / 718
页数:13
相关论文
共 50 条
  • [1] Gene discovery and microarray-based transcriptome analysis in grass endophytes
    Felitti, S
    Shields, K
    Ramsperger, M
    Tian, P
    Webster, T
    Ong, B
    Sawbridge, T
    Spangenberg, G
    MOLECULAR BREEDING OF FORAGE AND TURF, PROCEEDINGS, 2004, 11 : 145 - 153
  • [2] Microarray-based analysis of the 'stress transcriptome': application to gene discovery and therapeutics
    Eiden, Lee E.
    Stroth, Nikolas
    Holighaus, Yvonne
    Samal, Babru
    Ait-Ali, Djida
    FASEB JOURNAL, 2011, 25
  • [3] Microarray-based Epitope Analysis
    Shimaoka, Hideyuki
    Takada, Wataru
    Matsushita, Takahiko
    GLYCOBIOLOGY, 2013, 23 (11) : 1363 - 1364
  • [4] Antibiotic discovery by microarray-based gene response profiling
    Schoolnik, GK
    Wilson, MA
    FIREPOWER IN THE LAB: AUTOMATION IN THE FIGHT AGAINST INFECTIOUS DISEASES AND BIOTERRORISM, 2001, : 113 - 121
  • [5] Microarray-Based Technology for Glycomics Analysis
    Gao, Jingqing
    Ma, Lina
    Liu, Dianjun
    Wang, Zhenxin
    COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2012, 15 (01) : 90 - 99
  • [6] Microarray-Based Class Discovery for Molecular Classification of Breast Cancer: Analysis of Interobserver Agreement
    Mackay, Alan
    Weigelt, Britta
    Grigoriadis, Anita
    Kreike, Bas
    Natrajan, Rachael
    A'Hern, Roger
    Tan, David S. P.
    Dowsett, Mitch
    Ashworth, Alan
    Reis-Filho, Jorge S.
    JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2011, 103 (08): : 662 - 673
  • [7] Gene discovery in the embryonic chick retina: A microarray-based approach
    Bradford, RL
    Hackam, AS
    Zack, DJ
    Adler, R
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2002, 43 : U627 - U627
  • [8] Microarray-based genetic analysis of synovial sarcomas
    Susanne Allander
    Yidong Chen
    Marc Ladanyi
    Paul Meltzer
    Nature Genetics, 2001, 27 (Suppl 4) : 38 - 38
  • [9] Systematic analysis of cDNA microarray-based CGH
    Park, CH
    Jeong, HJ
    Choi, YH
    Kim, SC
    Jeong, HC
    Park, KH
    Lee, GY
    Kim, TS
    Yang, SW
    Ahn, SW
    Kim, YS
    Rha, SY
    Chung, HC
    INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE, 2006, 17 (02) : 261 - 267
  • [10] Microarray-based immunoassays
    Chu, F
    Edwards, P
    Ekins, RP
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1996, 211 : 16 - ENVR