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Featured researches published by Vivek Samant.


Proceedings of the National Academy of Sciences of the United States of America | 2005

Rapid identification and strain-typing of respiratory pathogens for epidemic surveillance

David J. Ecker; Rangarajan Sampath; Lawrence B. Blyn; Mark W. Eshoo; Cristina Ivy; Joseph A. Ecker; Brian Libby; Vivek Samant; Kristin A. Sannes-Lowery; Rachael Melton; Kevin L. Russell; Nikki E. Freed; Chris Barrozo; Jianguo Wu; Karl Rudnick; Anjali Desai; Emily Moradi; Duane Knize; David Robbins; James C. Hannis; Patina M. Harrell; Christian Massire; Thomas A. Hall; Yun Jiang; Raymond Ranken; Jared J. Drader; Neill White; John Mcneil; Stanley T. Crooke; Steven A. Hofstadler

Epidemic respiratory infections are responsible for extensive morbidity and mortality within both military and civilian populations. We describe a high-throughput method to simultaneously identify and genotype species of bacteria from complex mixtures in respiratory samples. The process uses electrospray ionization mass spectrometry and base composition analysis of PCR amplification products from highly conserved genomic regions to identify and determine the relative quantity of pathogenic bacteria present in the sample. High-resolution genotyping of specific species is achieved by using additional primers targeted to highly variable regions of specific bacterial genomes. This method was used to examine samples taken from military recruits during respiratory disease outbreaks and for follow up surveillance at several military training facilities. Analysis of respiratory samples revealed high concentrations of pathogenic respiratory species, including Haemophilus influenzae, Neisseria meningitidis, and Streptococcus pyogenes. When S. pyogenes was identified in samples from the epidemic site, the identical genotype was found in almost all recruits. This analysis method will provide information fundamental to understanding the polymicrobial nature of explosive epidemics of respiratory disease.


Journal of Laboratory Automation | 2006

The Ibis T5000 Universal Biosensor: An Automated Platform for Pathogen Identification and Strain Typing

David J. Ecker; Jared J. Drader; Jose R. Gutierrez; Abel Gutierrez; James C. Hannis; Amy Schink; Rangarajan Sampath; Lawrence B. Blyn; Mark W. Eshoo; Thomas A. Hall; Maria Tobarmosquera; Yun Jiang; Kristin A. Sannes-Lowery; Lendell L. Cummins; Brian Libby; Demetrius J. Walcott; Christian Massire; Raymond Ranken; Sheri Manalili; Cristina Ivy; Rachael Melton; Harold Levene; Vanessa Harpin; Feng Li; Neill White; Michael Pear; Joseph A. Ecker; Vivek Samant; Duane Knize; David Robbins

We describe a new approach to the sensitive and specific identification of bacteria, viruses, fungi, and protozoa based on broad-range PCR and high-performance mass spectrometry. The Ibis T5000 is based on technology developed for the Department of Defense known as T.I.G.E.R. (Triangulation Identification for the Genetic Evaluation of Risks) for pathogen surveillance. The technology uses mass spectrometry—derived base composition signatures obtained from PCR amplification of broadly conserved regions of the pathogen genomes to identify most organisms present in a sample. The process of sample analysis has been automated using a combination of commercially available and custom instrumentation. A software system known as T-Track manages the sample flow, signal analysis, and data interpretation and provides simplified result reports to the user. No specialized expertise is required to use the instrumentation. In addition to pathogen surveillance, the Ibis T5000 is being applied to reducing health care—associated infections (HAIs), emerging and pandemic disease surveillance, human forensics analysis, and pharmaceutical product and food safety, and will be used eventually in human infectious disease diagnosis. In this review, we describe the automated Ibis T5000 instrument and provide examples of how it is used in HAI control.


Emerging Infectious Diseases | 2005

Rapid Identification of Emerging Pathogens: Coronavirus

Rangarajan Sampath; Steven A. Hofstadler; Lawrence B. Blyn; Mark W. Eshoo; Thomas A. Hall; Christian Massire; Harold Levene; James C. Hannis; Patina M. Harrell; Benjamin W. Neuman; Michael J. Buchmeier; Yun Jiang; Raymond Ranken; Jared J. Drader; Vivek Samant; Richard H. Griffey; John Mcneil; Stanley T. Crooke; David J. Ecker

New surveillance approach can analyze >900 polymerase chain reactions per day.


BMC Microbiology | 2005

The Microbial Rosetta Stone Database: A compilation of global and emerging infectious microorganisms and bioterrorist threat agents

David J. Ecker; Rangarajan Sampath; Paul Willett; Jacqueline R. Wyatt; Vivek Samant; Christian Massire; Thomas A. Hall; Kumar Hari; John McNeil; Cornelia Büchen-Osmond; Bruce Budowle

BackgroundThousands of different microorganisms affect the health, safety, and economic stability of populations. Many different medical and governmental organizations have created lists of the pathogenic microorganisms relevant to their missions; however, the nomenclature for biological agents on these lists and pathogens described in the literature is inexact. This ambiguity can be a significant block to effective communication among the diverse communities that must deal with epidemics or bioterrorist attacks.ResultsWe have developed a database known as the Microbial Rosetta Stone. The database relates microorganism names, taxonomic classifications, diseases, specific detection and treatment protocols, and relevant literature. The database structure facilitates linkage to public genomic databases. This paper focuses on the information in the database for pathogens that impact global public health, emerging infectious organisms, and bioterrorist threat agents.ConclusionThe Microbial Rosetta Stone is available at http://www.microbialrosettastone.com/. The database provides public access to up-to-date taxonomic classifications of organisms that cause human diseases, improves the consistency of nomenclature in disease reporting, and provides useful links between different public genomic and public health databases.


Journal of Forensic Sciences | 2005

The Microbial Rosetta Stone database: A common structure for microbial biosecurity threat agents.

David J. Ecker; Rangarajan Sampath; Paul Willett; Vivek Samant; Christian Massire; Thomas A. Hall; Kumar Hari; John Mcneil; Cornelia Büchen-Osmond; Bruce Budowle

Infectious microorganisms are important to multiple communities engaged in biodefense and biosecurity, including the agencies responsible for health, defense, law enforcement, agriculture, and drug and food safety. Many agencies have created lists of high priority infectious microorganisms to prioritize research efforts or to formally control the possession and distribution of specific organisms or toxins. However, the biological classification of infectious microorganisms is often complex and ambiguous, leading to uncertainty and confusion for scientists involved in biosecurity work. To address this problem, we created a database, known as the Microbial Rosetta Stone, which resolves many of these ambiguities and includes links to additional information on the microbes, such as gene sequence data and scientific literature. Here we discuss the efforts to coordinate organism names from pathogen lists from various governmental agencies according to biological relatedness and show the overlap of high-priority organisms from multiple agencies. To our knowledge, this is the first comprehensive coordination of pathogens, synonyms, and correct taxonomic names. The organized tables and visual aids are freely available at http://www.microbialrosettastone.com. This website provides a single location where access to information on a broad range of disease-causing organisms and toxins is available to members of the biosecurity community.


International Journal of Legal Medicine | 2009

The Microbial Rosetta Stone: a database system for tracking infectious microorganisms

Kumar Hari; Alan Goates; Ravi Jain; Aaron Towers; Vanessa Harpin; James M. Robertson; Mark R. Wilson; Vivek Samant; David J. Ecker; John Mcneil; Bruce Budowle

The Microbial Rosetta Stone (MRS) database system was developed to support the law enforcement community by providing a comprehensive and connected microbial pathogen data–information repository. To handle the myriad types of pathogen information required to support law enforcement and intelligence community investigations, a data model previously developed for medical and epidemiological information was enhanced. The data contained in MRS are a broad collection of expert-curated microbial pathogen information, but given the multitude of potential microbes and toxins that may be used in a biocrime or bioterrorism act continual information collection and updating are required. The MRS currently relates governmental community-specific pathogen priority lists, sequence metadata, taxonomic classifications, and diseases to strain collections, specific detection and treatment protocols, and experimental results for biothreat agents. The system contains software tools that help to load, curate, and connect the data. A shared MRS database can be populated in real time by multiple users in multiple locations. Querying tools also provide simple and powerful means to access the data in any part of the database.


International Journal of Mass Spectrometry | 2005

TIGER: the universal biosensor

Steven A. Hofstadler; Rangarajan Sampath; Lawrence B. Blyn; Mark W. Eshoo; Thomas A. Hall; Yun Jiang; Jared J. Drader; James C. Hannis; Kristin A. Sannes-Lowery; Lendell L. Cummins; Brian Libby; Demetrius J. Walcott; Amy Schink; Christian Massire; Raymond Ranken; Jose R. Gutierrez; Sheri Manalili; Cristina Ivy; Rachael Melton; Harold Levene; Greg Barrett-Wilt; Feng Li; Vanessa Zapp; Neill White; Vivek Samant; John McNeil; Duane Knize; David Robbins; Karl Rudnick; Anjali Desai


Analytical Biochemistry | 2005

Base composition analysis of human mitochondrial DNA using electrospray ionization mass spectrometry: a novel tool for the identification and differentiation of humans.

Thomas A. Hall; Bruce Budowle; Yun Jiang; Lawrence B. Blyn; Mark W. Eshoo; Kristin A. Sannes-Lowery; Rangarajan Sampath; Jared J. Drader; James C. Hannis; Patina M. Harrell; Vivek Samant; Neill White; David J. Ecker; Steven A. Hofstadler


Archive | 2003

Methods for rapid forensic analysis of mitochondrial dna and characterization of mitochondrial dna heteroplasmy

David J. Ecker; Richard H. Griffey; Rangarajan Sampath; Steven A. Hofstadler; John Mcneil; Stanley T. Crooke; Lawrence B. Blyn; Thomas A. Hall; Yun Jiang; James C. Hannis; Neill White; Vivek Samant; Mark W. Eshoo; Jared J. Drader


Archive | 2005

Rapid identification of microbial agents

Rangarajan Sampath; Vivek Samant; Christian Massire; Harold B. Levene; David J. Ecker; John Mcneil

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John Mcneil

University of Massachusetts Medical School

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James C. Hannis

Virginia Commonwealth University

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Jared J. Drader

University of Texas at Austin

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