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Dive into the research topics where Michael B. Townsend is active.

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Featured researches published by Michael B. Townsend.


Journal of Clinical Microbiology | 2006

Experimental Evaluation of the FluChip Diagnostic Microarray for Influenza Virus Surveillance

Michael B. Townsend; Erica D. Dawson; Martin Mehlmann; James A. Smagala; Daniela M. Dankbar; Chad L. Moore; Catherine B. Smith; Nancy J. Cox; Robert D. Kuchta; Kathy L. Rowlen

ABSTRACT 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. However, the high mutability of the influenza virus represents a design challenge. In order for an influenza virus microarray to be of utility, it must provide information for a wide range of viral strains and lineages. The design and characterization of an influenza microarray, the FluChip-55 microarray, for the relatively rapid identification of influenza A virus subtypes H1N1, H3N2, and H5N1 are described here. In this work, a small set of sequences was carefully selected to exhibit broad coverage for the influenza A and B viruses currently circulating in the human population as well as the avian A/H5N1 virus that has become enzootic in poultry in Southeast Asia and that has recently spread to Europe. A complete assay involving extraction and amplification of the viral RNA was developed and tested. In a blind study of 72 influenza virus isolates, RNA from a wide range of influenza A and B viruses was amplified, hybridized, labeled with a fluorophore, and imaged. The entire analysis time was less than 12 h. The combined results for two assays provided the absolutely correct types and subtypes for an average of 72% of the isolates, the correct type and partially correct subtype information for 13% of the isolates, the correct type only for 10% of the isolates, false-negative signals for 4% of the isolates, and false-positive signals for 1% of the isolates. In the overwhelming majority of cases in which incomplete subtyping was observed, the failure was due to the nucleic acid amplification step rather than limitations in the microarray.


Journal of Clinical Microbiology | 2006

Robust Sequence Selection Method Used To Develop the FluChip Diagnostic Microarray for Influenza Virus

Martin Mehlmann; Erica D. Dawson; Michael B. Townsend; James A. Smagala; Chad L. Moore; Catherine B. Smith; Nancy J. Cox; Robert D. Kuchta; Kathy L. Rowlen

ABSTRACT DNA microarrays have proven to be powerful tools for gene expression analyses and are becoming increasingly attractive for diagnostic applications, e.g., for virus identification and subtyping. The selection of appropriate sequences for use on a microarray poses a challenge, particularly for highly mutable organisms such as influenza viruses, human immunodeficiency viruses, and hepatitis C viruses. The goal of this work was to develop an efficient method for mining large databases in order to identify regions of conservation in the influenza virus genome. From these regions of conservation, capture and label sequences capable of discriminating between different viral types and subtypes were selected. The salient features of the method were the use of phylogenetic trees for data reduction and the selection of a relatively small number of capture and label sequences capable of identifying a broad spectrum of influenza viruses. A detailed experimental evaluation of the selected sequences is described in a companion paper. The software is freely available under the General Public License at http://www.colorado.edu/chemistry/RGHP/software/ .


Journal of Clinical Virology | 2008

Detection of Adamantane-Resistant Influenza on a Microarray

Michael B. Townsend; James A. Smagala; Erica D. Dawson; Varough Deyde; Larisa V. Gubareva; Alexander Klimov; Robert D. Kuchta; Kathy L. Rowlen

BACKGROUND Influenza A has the ability to rapidly mutate and become resistant to the commonly prescribed influenza therapeutics, thereby complicating treatment decisions. OBJECTIVE To design a cost-effective low-density microarray for use in detection of influenza resistance to the adamantanes. STUDY DESIGN We have taken advantage of functional genomics and microarray technology to design a DNA microarray that can detect the two most common mutations in the M2 protein associated with adamantane resistance, V27A and S31N. RESULTS In a blind study of 22 influenza isolates, the antiviral resistance-chip (AVR-Chip) had a success rate of 95% for detecting these mutations. Microarray data from a larger set of samples were further analyzed using an artificial neural network and resulted in a correct identification rate of 94% for influenza virus samples that had V27A and S31N mutations. CONCLUSIONS The AVR-Chip provided a method for rapidly screening influenza viruses for adamantane sensitivity, and the general approach could be easily extended to detect resistance to other chemotherapeutics.


Cell | 2016

Cross-Neutralizing and Protective Human Antibody Specificities to Poxvirus Infections

Iuliia Gilchuk; Pavlo Gilchuk; Gopal Sapparapu; Rebecca Lampley; Vidisha Singh; Nurgun Kose; David L. Blum; Laura J. Hughes; Panayampalli Subbian Satheshkumar; Michael B. Townsend; Ashley V. Kondas; Zachary Reed; Zachary P. Weiner; Victoria A. Olson; Erika Hammarlund; Hans Peter Raué; Mark K. Slifka; James C. Slaughter; Barney S. Graham; Kathryn M. Edwards; Roselyn J. Eisenberg; Gary H. Cohen; Sebastian Joyce; James E. Crowe

Monkeypox (MPXV) and cowpox (CPXV) are emerging agents that cause severe human infections on an intermittent basis, and variola virus (VARV) has potential for use as an agent of bioterror. Vaccinia immune globulin (VIG) has been used therapeutically to treat severe orthopoxvirus infections but is in short supply. We generated a large panel of orthopoxvirus-specific human monoclonal antibodies (Abs) from immune subjects to investigate the molecular basis of broadly neutralizing antibody responses for diverse orthopoxviruses. Detailed analysis revealed the principal neutralizing antibody specificities that are cross-reactive for VACV, CPXV, MPXV, and VARV and that are determinants of protection in murine challenge models. Optimal protection following respiratory or systemic infection required a mixture of Abs that targeted several membrane proteins, including proteins on enveloped and mature virion forms of virus. This work reveals orthopoxvirus targets for human Abs that mediate cross-protective immunity and identifies new candidate Ab therapeutic mixtures to replace VIG.


Journal of Virological Methods | 2013

Evaluation of the Tetracore Orthopox BioThreat® antigen detection assay using laboratory grown orthopoxviruses and rash illness clinical specimens.

Michael B. Townsend; Adam MacNeil; Mary G. Reynolds; Christine M. Hughes; Victoria A. Olson; Inger K. Damon; Kevin L. Karem

The commercially available Orthopox BioThreat® Alert assay for orthopoxvirus (OPV) detection is piloted. This antibody-based lateral-flow assay labels and captures OPV viral agents to detect their presence. Serial dilutions of cultured Vaccinia virus (VACV) and Monkeypox virus (MPXV) were used to evaluate the sensitivity of the Tetracore assay by visual and quantitative determinations; specificity was assessed using a small but diverse set of diagnostically relevant blinded samples from viral lesions submitted for routine OPV diagnostic testing. The BioThreat® Alert assay reproducibly detected samples at concentrations of 10(7)pfu/ml for VACV and MPXV and positively identified samples containing 10(6)pfu/ml in 4 of 7 independent experiments. The assay correctly identified 9 of 11 OPV clinical samples and had only one false positive when testing 11 non-OPV samples. Results suggest applicability for use of the BioThreat® Alert assay as a rapid screening assay and point of care diagnosis for suspect human monkeypox cases.


Virology | 2014

A highly specific monoclonal antibody against monkeypox virus detects the heparin binding domain of A27.

Laura J. Hughes; Jason Goldstein; Jan Pohl; Jay W. Hooper; R. Lee Pitts; Michael B. Townsend; Dennis Bagarozzi; Inger K. Damon; Kevin L. Karem

The eradication of smallpox and the cessation of global vaccination led to the increased prevalence of human infections in Central Africa. Serologic and protein-based diagnostic assay for MPXV detection is difficult due to cross-reactive antibodies that do not differentiate between diverse orthopoxvirus (OPXV) species. A previously characterized monoclonal antibody (mAb 69-126-3-7) against MPXV [1] was retested for cross-reactivity with various OPXVs. The 14.5 kDa band protein that reacted with mAb 69-126-3 was identified to be MPXV A29 protein (homolog of vaccinia virus Copenhagen A27). Amino acid sequence analysis of the MPXV A29 with other OPXV homologs identified four amino acid changes. Peptides corresponding to these regions were designed and evaluated for binding to mAb 69-126-3 by ELISA and BioLayer Interferometry (BLI). Further refinement and truncations mapped the specificity of this antibody to a single amino acid difference in a 30-mer peptide compared to other OPXV homologs. This particular residue is proposed to be essential for heparin binding by VACV A27 protein. Despite this substitution, MPXV A29 bound to heparin with similar affinity to that of VACV A27 protein, suggesting flexibility of this motif for heparin binding. Although binding of mAb 69-126-3-7 to MPXV A29 prevented interaction with heparin, it did not have any effect on the infectivity of MPXV. Characterization of 69-126-3-7 mAb antibody allows for the possibility of the generation of a serological based species-specific detection of OPXVs despite high proteomic homology.


The Journal of Infectious Diseases | 2017

Retrospective Proteomic Analysis of Serum After Akhmeta Virus Infection: New Suspect Case Identification and Insights Into Poxvirus Humoral Immunity

Michael B. Townsend; Nadia F. Gallardo-Romero; Ekaterine Khmaladze; Neil M. Vora; Giorgi Maghlakelidze; Marika Geleishvili; Darin S. Carroll; Ginny L. Emerson; Mary G. Reynolds; Panayampalli Subbian Satheshkumar

Serologic cross-reactivity, a hallmark of orthopoxvirus (OPXV) infection, makes species-specific diagnosis of infection difficult. In this study, we used a variola virus proteome microarray to characterize and differentiate antibody responses to nonvaccinia OPXV infections from smallpox vaccination. The profile of 2 case patients infected with newly discovered OPXV, Akhmeta virus, exhibited antibody responses of greater intensity and broader recognition of viral proteins and includes the B21/22 family glycoproteins not encoded by vaccinia virus strains used as vaccines. An additional case of Akhmeta virus, or nonvaccinia OPXV infection, was identified through community surveillance of individuals with no or uncertain history of vaccination and no recent infection. The results demonstrate the utility of microarrays for high-resolution mapping of antibody response to determine the nature of OPXV exposure.


Analytical Chemistry | 2007

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

Erica D. Dawson; Chad L. Moore; Daniela M. Dankbar; Martin Mehlmann; Michael B. Townsend; James A. Smagala; Catherine B. Smith; Nancy J. Cox; Robert D. Kuchta; Kathy L. Rowlen


Analytical Chemistry | 2006

MChip: a tool for influenza surveillance.

Erica D. Dawson; Chad L. Moore; James A. Smagala; Daniela M. Dankbar; Martin Mehlmann; Michael B. Townsend; Catherine B. Smith; Nancy J. Cox; Robert D. Kuchta; Kathy L. Rowlen


Analytical Biochemistry | 2005

Optimization of fragmentation conditions for microarray analysis of viral RNA.

Martin Mehlmann; Michael B. Townsend; Robin L. Stears; Robert D. Kuchta; Kathy L. Rowlen

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Kathy L. Rowlen

University of Colorado Boulder

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Erica D. Dawson

University of Colorado Boulder

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James A. Smagala

Centers for Disease Control and Prevention

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Martin Mehlmann

University of Colorado Boulder

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Robert D. Kuchta

University of Colorado Boulder

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Chad L. Moore

University of Tennessee Health Science Center

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Nancy J. Cox

National Center for Immunization and Respiratory Diseases

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Daniela M. Dankbar

Centers for Disease Control and Prevention

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Inger K. Damon

Centers for Disease Control and Prevention

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