Diagnostic microarray for influenza B viruses.

The importance of global influenza surveillance using simple and rapid diagnostics has been frequently highlighted. For influenza type B, the need exists for discrimination between the two currently circulating major lineages, represented by virus strains B/Victoria/2/87 and B/Yamagata/16/88, as only one of these lineages is represented in seasonal influenza vaccines. Here, the development and characterization of a low-density DNA microarray (designated BChip) designed to detect and identify the two influenza B lineages is presented.

Comparison of the MChip to viral culture, reverse transcription-PCR, and the QuickVue influenza A+B test for rapid diagnosis of influenza.

The performance of a diagnostic microarray (the MChip assay) for influenza was compared in a blind study to that of viral culture, reverse transcription (RT)-PCR, and the QuickVue Influenza A+B test. The patient sample data set was composed of 102 respiratory secretion specimens collected between 29 December 2005 and 2 February 2006 at Scott & White Hospital and Clinic in Temple, Texas. Samples were collected from a wide range of age groups by using direct collection, nasal/nasopharyngeal swabs, or nasopharyngeal aspiration.

Identification of A/H5N1 influenza viruses using a single gene diagnostic microarray.

In previous work, a simple diagnostic DNA microarray that targeted only the matrix gene segment of influenza A (MChip) was developed and evaluated with patient samples. In this work, the analytical utility of the MChip for detection and subtyping of an emerging virus was evaluated with a diverse set of A/H5N1 influenza viruses. A total of 43 different highly pathogenic A/H5N1 viral isolates that were collected from diverse geographic locations, including Vietnam, Nigeria, Indonesia, and Kazakhstan, representing human, feline, and a variety of avian infections spanning the time period 2003-2006 were used in this study.

MChip: a tool for influenza surveillance.

The design and characterization of a low-density microarray for subtyping influenza A is presented. The microarray consisted of 15 distinct oligonucleotides designed to target only the matrix gene segment of influenza A. An artificial neural network was utilized to automate microarray image interpretation.

A study on photolinkers used for biomolecule attachment to polymer surfaces.

The use of photolinkers (photoactivatable heterobifunctional crosslinkers) is a popular method to attach biomolecules to polymer surfaces. This study addresses the selection of photolinker and the adjustment of reaction conditions, such as the concentration of biomolecule applied, and irradiation time. The influence of these variables are investigated for four prominent photolinkers: ketyl-reactive benzophenone (BP) and anthraquinone (AQ), nitrene-reactive nitrophenyl azide (NPA), and carbene-reactive phenyl-(trifluoromethyl)diazirine (PTD).

Experimental evaluation of the FluChip diagnostic microarray for influenza virus surveillance.

Global surveillance of influenza is critical for improvements in disease management and is especially important for early detection, rapid intervention, and a possible reduction of the impact of an influenza pandemic. Enhanced surveillance requires rapid, robust, and inexpensive analytical techniques capable of providing a detailed analysis of influenza virus strains. Low-density oligonucleotide microarrays with highly multiplexed "signatures" for influenza viruses offer many of the desired characteristics.

A miniaturized heterogeneous fluorescence immunoassay on gold-coated nano-titer plates.

A miniaturized heterogeneous fluorescence immunoassay utilizing radiationless energy transfer to gold surfaces for fluorescence quenching is described. The phase-separation fluorescence immunoassay (PSFIA), a competitive heterogeneous assay, is carried out in the nanowells of a gold-coated nano-titer plate (NTP). Small analytes such as atrazine and histamine can be detected in nanoliter volumes with low limits of detection, maintaining a high degree of parallelization and miniaturization.