Literature DB >> 18521073

Ibis T5000: a universal biosensor approach for microbiology.

David J Ecker1, Rangarajan Sampath, Christian Massire, Lawrence B Blyn, Thomas A Hall, Mark W Eshoo, Steven A Hofstadler.   

Abstract

We describe a new technology, the Ibis T5000, for the identification of pathogens in clinical and environmental samples. The Ibis T5000 couples nucleic acid amplification to high-performance electrospray ionization mass spectrometry and base-composition analysis. The system enables the identification and quantification of a broad set of pathogens, including all known bacteria, all major groups of pathogenic fungi and the major families of viruses that cause disease in humans and animals, along with the detection of virulence factors and antibiotic resistance markers.

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Year:  2008        PMID: 18521073      PMCID: PMC7097577          DOI: 10.1038/nrmicro1918

Source DB:  PubMed          Journal:  Nat Rev Microbiol        ISSN: 1740-1526            Impact factor:   60.633


Main

A walk into a clinical microbiology laboratory today can be like taking a step back in time: culture plates, incubators and microscopes dominate the 'labscape'. It can take days to fully characterize the infectious agents in a patient's sample, beginning with culturing, followed by biochemical tests. Public-health laboratories also deal with the detection and management of infectious diseases, but from the perspective of benefiting society rather than the individual. Epidemiological investigations begin with laborious methods, such as culturing, followed by pulse-field gel electrophoresis (PFGE) or sequencing. Government biodefence and homeland-security agencies have a mandate to detect infectious disease agents to protect against, or respond to, acts of bioterrorism. The US government, for example, has built a large surveillance infrastructure to monitor the environment in major cities for the presence of biological weapons that might be released in an aerosol attack. In these cities, individuals with acute respiratory distress or fevers are treated in hospital emergency departments and doctors' offices. If an individual was infected with a microorganism of bioterrorism significance, it would not be discovered through the government's efforts, as the government's environmental surveillance programme is not integrated into the health-care system. The CDC's PulseNet programme (see Further information) for the comparison of PFGE patterns perhaps presages the future of tracing and following accidental or intentional outbreaks of infectious disease. However, PFGE is time consuming, requires a high level of skill and the pattern results can vary between laboratories. This demonstrates the primary hurdle that prevents rapid and reliable data sharing between clinical microbiology laboratories, public-health laboratories and biodefence agencies: the lack of a reproducible, high-throughput, cost-effective technology that provides digital signatures to detect and identify microorganisms. The development of this type of technology is a daunting proposition. According to literature reports, more than 1,400 species of microorganism are known to cause disease in humans[1]. Moreover, each of these species can have hundreds of strain or genotypic variations with different properties of virulence, transmissibility or drug resistance. The ideal diagnostic technology to serve individuals, broad public-health interests and biodefence should provide universal pathogen-identification capability; identify all organisms that are present in a quantitative manner; identify emerging, previously uncharacterized organisms and determine the most closely related species; facilitate outbreak investigations and forensic analysis; facilitate rapid information sharing through a centralized database; allow immediate testing of samples, as well as high-throughput testing; and have low per-sample analysis costs. The technology that we describe in this article was designed to meet these specifications. We have coupled broad amplification by PCR with electrospray ionization mass spectrometry (ESI–MS) in a system that we call the Ibis T5000. The basic principle of operation is shown in Fig. 1. In brief, multiple pairs of primers are used to amplify carefully selected regions of the genome of the microorganism of interest. Following amplification, a fully automated ESI–MS analysis is performed. The mass spectrometer effectively weighs the amplicons, or mixture of amplicons, with sufficient mass accuracy that the composition of nucleotides (A, G, C and T) can be deduced for each amplicon present. The base composition is compared with a database of calculated base compositions that is derived from the sequences of known organisms to determine the identities of any microorganisms that are present. Thus, analysis using the Ibis T5000 provides detailed information which is analogous to that obtained using a microarray or parallel DNA-sequencing instrument. The Ibis T5000 mass spectrometer analyses each PCR reaction in less than 1 minute, using no consumable products, and is completely automated. We have developed assays for use with the Ibis T5000 that enable the simultaneous identification and quantification of all known bacteria, all major groups of pathogenic fungi and the major families of viruses that cause disease in humans. Here, we describe how this technology can be used for pathogen detection for the benefit of individuals and society.
Figure 1

Flow scheme for Ibis T5000 analysis.

Like any other methodology that uses PCR, the nucleic acids must first be purified from the clinical or environmental sample. Target sites on microbial genomes that are common across broad groups of microorganisms and that flank regions of high information content are selected for primer design. Broad-range PCR is conducted and, following an automated desalting step, amplified nucleic acids are electrosprayed into a time-of-flight (TOF) mass spectrometer and the spectral signal is processed to identify the masses of the amplicons that are present with sufficient mass accuracy to unambiguously calculate the nucleotide base compositions present in each amplicon. The information from all wells is used in a mathematical process that is known as triangulation to convert the base-composition data to a list of the organisms that are present and their relative and absolute quantities. ESI–MS, electrospray ionization mass spectrometry.

Flow scheme for Ibis T5000 analysis.

Like any other methodology that uses PCR, the nucleic acids must first be purified from the clinical or environmental sample. Target sites on microbial genomes that are common across broad groups of microorganisms and that flank regions of high information content are selected for primer design. Broad-range PCR is conducted and, following an automated desalting step, amplified nucleic acids are electrosprayed into a time-of-flight (TOF) mass spectrometer and the spectral signal is processed to identify the masses of the amplicons that are present with sufficient mass accuracy to unambiguously calculate the nucleotide base compositions present in each amplicon. The information from all wells is used in a mathematical process that is known as triangulation to convert the base-composition data to a list of the organisms that are present and their relative and absolute quantities. ESI–MS, electrospray ionization mass spectrometry. The Ibis T5000 universal biosensor The mass spectrometer component of the Ibis T5000 enables more information to be extracted from PCR reactions than can be obtained with standard individual probes. This enriched information extraction occurs in two dimensions simultaneously. First, a large number of PCR amplicons can be analysed. This enables the use of PCR primers that amplify groups of organisms in mixed populations, rather than single species. For example, primers for viruses can be designed to encompass entire viral families that comprise hundreds of characterized species, and primers for bacteria can be designed that encompass the entire bacterial domain of life. Second, a large amount of information is obtained from each individual amplicon by mass spectrometry. The mass spectrometer weighs each amplicon with sufficient accuracy that the composition of nucleotides (As, Gs, Cs and Ts) can be unambiguously determined. Although not as information rich as the sequence (the linking order is not determined using ESI–MS), for many diagnostic purposes, the nucleotide composition of a nucleic acid can have the same practical value. For example, when a small set of primers is strategically chosen, approximately six PCR reactions can yield sufficient information to identify the bacteria that are present to the species level[2]. For viruses, primers can be designed to encompass broad genera, such as Alphaviruses[3] or Mastadenoviruses[4], or even whole virus families, such as the Orthomyxoviridae[5] or Coronaviridae[6]. When primers are designed to amplify all known members within a target group, previously uncharacterized members are also detected. This is a crucial advantage of the Ibis T5000 technology relative to probe-based molecular methods, for which anticipation of the target nucleic acid sequence is required to design the probe. Bacterial surveillance Detection and identification of multiple bacterial species in a clinical sample, such as blood, cerebrospinal fluid or sputum, is challenging. The conventional molecular approach is to design specific PCR primers that target specific pathogens. However, this quickly becomes unwieldy because of the large number of possible infecting pathogens. It is not possible to identify rare, emerging or unanticipated pathogens using this conventional method, because the organism's identity must be known in advance to design the test. In the Ibis T5000 system, broad-range primers that can hybridize to virtually all bacterial genomes, rather than specific primers, are used. Broad-range priming is possible because all bacteria share a number of common nucleic acid sequences that are of sufficient length to support the binding of PCR primers. These broad-range primers are used to amplify a product from all bacteria or groups of phylogenetically related bacteria (Fig. 2). The most notable region for broad priming is ribosomal DNA[7,8], but there are also broad-priming opportunities in genes that encode other structural RNAs, such as RNase P, and housekeeping proteins[9]. For this strategy, it is essential that the broad-range primers flank regions of variability such that the base composition of the resulting amplicon is information rich. It would be ideal if an amplicon from a single pair of broad-range primers would provide sufficient information to identify all bacteria and determine the species but, because some bacterial species have the same base composition in conserved primer regions, a number of amplicons from different regions of the microbial genome must be analysed. Primer choices are made based on their ability to provide maximal parsing using base composition as a metric. Microorganisms are distinguished using the aggregate information from the base composition of a number of amplicons; we refer to this as triangulation. The resolving power of base-composition analysis is compared with that of sequencing in Box 1.
Figure 2

The bacterial domain of life depicted using 373 sequenced species and the coverage of 16 primer pairs.

The colour coding depicts the specificity of the broad-range primers that are used in bacterial identification. All the species shown are amplified by the six ribosomal-DNA-targeted primers (346, 347, 348, 349, 360 and 361); exceptions are shown boxed by a red dashed line, along with an indication of the actual subset of primer pairs that is predicted to yield amplicons. Other colours depict coverage of the division- or group-specific primers that target genes which encode conserved housekeeping genes. For clarity, diverse branches that are covered by ribosomal primer pairs only (the Aquificae, Thermotogae and Chloroflexi phyla) are not represented.

The bacterial domain of life depicted using 373 sequenced species and the coverage of 16 primer pairs.

The colour coding depicts the specificity of the broad-range primers that are used in bacterial identification. All the species shown are amplified by the six ribosomal-DNA-targeted primers (346, 347, 348, 349, 360 and 361); exceptions are shown boxed by a red dashed line, along with an indication of the actual subset of primer pairs that is predicted to yield amplicons. Other colours depict coverage of the division- or group-specific primers that target genes which encode conserved housekeeping genes. For clarity, diverse branches that are covered by ribosomal primer pairs only (the Aquificae, Thermotogae and Chloroflexi phyla) are not represented. Analysis of a sample using multiple broad PCR reactions has several other important benefits. The first relates to coverage of diverse organisms. Broad-range primers designed to amplify DNA from all bacteria, even those targeted to ribosomal DNA, do not match all organisms perfectly and a certain number of mismatches between the PCR primers and some genomes is inevitable. This was considered in the development of PCR conditions for the Ibis T5000, and the conditions are permissive in the first few cycles to ensure hybridization of a partially mismatched oligonucleotide primer to the target. Great care is taken to match the 3′ ends of the primers to the targets; this region is the most sensitive to mispairings during PCR initiation. However, priming failures owing to mismatches between primers and targets will occur for some organisms for any given primer pair. The use of multiple PCR reactions that are targeted to different regions of the microbial genome provides an inherent redundancy that protects against some organisms being missed owing to mismatches from single primer pairs. Triangulation also increases the dynamic range of detection limits. With extremely broad coverage, such as that provided by the ribosomal-DNA-targeted primers, the microorganisms that are present in a sample compete during the amplification process. When organisms differ in concentration by a ratio of more than 100 to 1, the lower abundance microorganisms might not be detected because they exceed the dynamic range of the competitive PCR reactions. However, when two different microorganisms are individually amplified by non-overlapping division-wide primers, the microorganisms do not compete with each other, because they are amplified in different PCR reactions. The mass spectral information from several reactions is used to triangulate the identities of the organisms that are present. Notably, using the triangulation strategy, none of the primers is designed to be specific for any one microorganism, but instead the primers are designed to cover the bacterial tree of life using a redundant, nested-coverage approach. This enables identification of any bacterial species, even previously unknown organisms, with a single test. An example of a broad-range primer analysis of a complex mixture of microorganisms is shown in Fig. 3. The spectrum was obtained by using a ribosomal-DNA-targeted primer pair for PCR of a sputum sample from a patient with cystic fibrosis. Spectral signals from six distinct microorganisms were present and microorganism identification was based on triangulation of the signals from eight broad-range primers. Use of integrated information from multiple broad-range primers allows the identification of virtually all organisms that are present in a sample. Crucially, the time to identification is 4–6 hours, and therefore appropriate action can begin promptly.
Figure 3

The spectrum of amplicons obtained from a sputum sample from a patient with cystic fibrosis using a primer pair that targets ribosomal DNA.

a | Shows a broad mass range that includes each strand of the internal calibration standard. b | Shows an expanded view of the spectral region that excludes the calibration standard. Each amplified product has two peaks that correspond to the two strands of the amplicon. The organisms that are assigned to each peak are based on the collective interpretation from eight broad-range primers.

The spectrum of amplicons obtained from a sputum sample from a patient with cystic fibrosis using a primer pair that targets ribosomal DNA.

a | Shows a broad mass range that includes each strand of the internal calibration standard. b | Shows an expanded view of the spectral region that excludes the calibration standard. Each amplified product has two peaks that correspond to the two strands of the amplicon. The organisms that are assigned to each peak are based on the collective interpretation from eight broad-range primers. Bacterial genotyping The Ibis T5000 method identifies microorganisms by measuring the base composition of selected genomic regions and comparing these digital fingerprints with a database of microorganism signatures that are derived from known sequences. These digital signatures provide a powerful means to identify microorganisms; digitization also enables the technology to be applied to outbreak investigations, forensic analyses, epidemiological tracking and real-time integration of data from various locations. Because regions of high variability in the microbial genomes are amplified, a certain amount of intra-species variability is often observed. For example, primer pairs targeted to variable regions of housekeeping genes that are common to all bacteria will yield a set of base compositions that vary slightly — usually one or two mutations in a few of the target sites — in different strains of the same species. These variations provide distinguishing fingerprints that can be used to track the spread of microorganisms in a hospital setting or follow an epidemiological trail. However, to use the Ibis T5000 technology specifically for epidemiology, a set of genus- or species-specific primer pairs should be designed that target genomic regions that are optimized to distinguish strains within the same species. Genes are selected that provide two levels of evolutionary 'clock speed' for strain genotyping. The first are the housekeeping genes that are used in multilocus sequence typing (MLST)[10] and the second are species-specific variable number of tandem repeats (VNTRs)[11]. MLST and VNTR analyses are conventionally conducted using PCR, followed by sequencing or gel electrophoresis, but both types of targets can be analysed using the high-throughput Ibis T5000. This approach has been used successfully to track a group A Streptococcus outbreak in a military training camp[2] and to investigate the source of an outbreak of Acinetobacter spp. in hospital settings[12,13]. Virus identification and genotyping The Ibis T5000 is also useful for identifying and tracking viruses. Despite higher mutation rates and greater sequence variability than bacteria, conserved primer target sites can be identified that enable priming of entire genera or even complete virus families. RNA-dependent RNA polymerase is a housekeeping gene that is common to all RNA viruses and provides several target-site opportunities for developing primers that amplify multiple species within a virus family. This strategy is powerful because a single PCR reaction analysed by mass spectrometry can be used to detect and identify tens to hundreds of related viral species. As shown in Fig. 4, despite the inherent variation of base composition that is found in different flavivirus entries in GenBank, which generates a 'cloud' of base compositions for each species, each species can be distinguished. Because at least two sets of primer pairs targeted to different regions of the viral genome are generally used for each virus group, potential misclassification is avoided, as two regions taken together provide unambiguous species identification. This strategy has been used effectively for broad detection and strain typing of adenoviruses[4], influenza viruses[5], alphaviruses[3], coronaviruses[6] and orthopoxviruses[9].
Figure 4

Base-composition analysis of flaviviruses.

The base composition of a variable fragment of the RNA-dependent RNA polymerase gene flanked by conserved primer target sites is depicted in three dimensions for the flavivirus sequences in GenBank. The region depicted here corresponds to coordinates 9,050–9,150 of Dengue virus 1 (GenBank accession code DQ285559).

Base-composition analysis of flaviviruses.

The base composition of a variable fragment of the RNA-dependent RNA polymerase gene flanked by conserved primer target sites is depicted in three dimensions for the flavivirus sequences in GenBank. The region depicted here corresponds to coordinates 9,050–9,150 of Dengue virus 1 (GenBank accession code DQ285559). Microorganism quantitation Quantitation in the Ibis T5000 process is achieved by using an internal calibration standard. A nucleic acid with a target sequence that is similar to the primer target sites is added to each PCR reaction at a precisely known concentration. The calibration standard is amplified along with the microbial nucleic acids that are present. The amplicon that is generated from the calibration standard contains a small deletion that unambiguously distinguishes it from the amplified microorganism nucleic acid in the mass spectrum (Fig. 3a). Comparison of spectral peak heights from the calibration standard and the amplified microorganism nucleic acids enables determination of the concentration. This internal calibration method is accurate, within fourfold of the actual concentration, in part because each sample is analysed in multiple PCR reactions that are all independently calibrated and the average over all PCR reactions is reported for each sample[9]. The calibration standard also serves as an internal positive control. If the calibration standard is not amplified, something in the particular sample might be inhibitory or the PCR might have failed for some other reason. Thus, the calibration standard is valuable as a quality-control check for PCR inhibition and the subsequent steps in mass spectrometry and signal analysis. High-information-content diagnostics Key to the use of high-information-content tests in a diagnostic setting are practical considerations, such as the complexity and the skill set that are required to run the assay, costs, throughput and interpretation of complex data. Although several current technologies, including microarrays and parallel sequencing methods, can theoretically provide detailed information about the infectious disease agents that are present in a sample, these methods are currently too complex, slow and expensive for routine use in a diagnostic laboratory. The Ibis T5000 was designed for high-throughput operation in a clinical laboratory setting with consumable costs that are comparable to current PCR-based molecular diagnostic methods. The mass spectrometer uses no consumable products, and therefore the total costs per sample for Ibis T5000 analysis are comparable to the costs of standard molecular diagnostic tests. Samples are analysed at a rate of approximately 30 seconds for each PCR reaction, and the software interprets spectral results, matches signatures with a database and reports the bacterial, viral or fungal identification, along with accessory information, such as high-resolution genotype, virulence factors or antibiotic resistance markers, according to the selected assay configuration. The main drawback to the current Ibis T5000 instrument is its high capital cost, which is driven by the cost of a high-performance mass spectrometer. However, equipment costs can be recovered over time if large numbers of samples are evaluated, which would enable production-scale economy. Moreover, for high-throughput applications in a clinical laboratory, equipment costs are amortized over large numbers of samples, making PCR reagents the dominant cost driver. In addition, mass-spectrometry technology continues to evolve, with yearly performance increases and cost reductions. Applications and conclusions Infectious diseases are, by definition, communicable, and yet virtually all infections in individual patients are diagnosed and treated in isolation. What might be learned about the virulence of a microorganism or its response to selected therapies is not easily transferred to aid the treatment of patients who become sequentially infected with the same clonal strain. For example, two paediatricians who work in the same medical complex are likely to see children who have been infected by the same pathogen, but have no way of knowing it. The microorganism in question might be making its way across a country, having been treated successfully or unsuccessfully by other physicians weeks or months earlier in adjacent states, provinces or countries. The technology described here has the potential to integrate infectious disease identification and treatment across time and distance. As the Ibis T5000 provides digital signatures of identified microorganisms, this technology allows the collection and dissemination of epidemiological information in real time. The microbial signatures, along with previous treatment information on that pathogen, can be shared electronically. New signatures can be recorded in a central database and the appearance of those signatures in new locations will enable real-time epidemiological analysis by public-health officials. Likewise, integration of biodefence surveillance with routine clinical diagnostics is facilitated by the use of technology that identifies any organism that infects patients, including bioterrorist agents, rather than only routinely observed infectious agents. We suggest that the infectious disease community should consider the impact of integrating the various communities of stakeholders who are concerned with infectious microorganisms. The Ibis T5000 technology described here is one diagnostic method that has been designed to achieve this objective. We analysed the resolution of 405 unique bacterial species that was provided by the regions amplified by the 16 primer pairs that are used for bacterial surveillance[2] (see the figure). Six of these loci are found within the ribosomal subunits and are expected to yield amplicons from virtually all bacteria. By contrast, the ten primer pairs that target essential housekeeping genes typically cover distinct phyla (Fig. 2) and provide additional resolution within the densest parts of the bacterial tree. We first used a computational simulation of PCR to extract the representative sequence and base composition (if any) from each loci for each of the 405 unique, completely sequenced (by September 2007) bacterial species (see Further information for a link to complete microbial genomes from the NCBI database). Thus, we associated each species with a unique 16-loci signature. As the genomes of some species are not amplified by certain primer pairs, on average, there were 7.2 loci with base-composition and sequence signatures. We then determined the number of species that were unambiguously identified by either sequence or base-composition analysis using a variable number of these loci, starting with the six ribosomal loci and adding one locus at a time. Primer pairs were initially sorted by decreasing breadth of coverage, starting with the ribosomal primer pairs (in blue). The resolution of base-composition analysis approximates that of sequence analysis after the addition of the third primer pair, leaving only six extra pairs of closely related organisms that are not separated; this difference disappears after the addition of the ninth primer pair, and neither base-composition nor sequence analysis of the selected genomic regions distinguishes the remaining 19 closely related species.
  12 in total

1.  Bacterial diversity within the human subgingival crevice.

Authors:  I Kroes; P W Lepp; D A Relman
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2.  Rapid detection and molecular serotyping of adenovirus by use of PCR followed by electrospray ionization mass spectrometry.

Authors:  Lawrence B Blyn; Thomas A Hall; Brian Libby; Raymond Ranken; Rangarajan Sampath; Karl Rudnick; Emily Moradi; Anjali Desai; David Metzgar; Kevin L Russell; Nikki E Freed; Melinda Balansay; Michael P Broderick; Miguel A Osuna; Steven A Hofstadler; David J Ecker
Journal:  J Clin Microbiol       Date:  2007-12-19       Impact factor: 5.948

3.  Identification of Acinetobacter species and genotyping of Acinetobacter baumannii by multilocus PCR and mass spectrometry.

Authors:  Joseph A Ecker; Christian Massire; Thomas A Hall; Raymond Ranken; Thuy-Trang D Pennella; Cristina Agasino Ivy; Lawrence B Blyn; Steven A Hofstadler; Timothy P Endy; Paul T Scott; Luther Lindler; Tacita Hamilton; Charla Gaddy; Kerry Snow; Marie Pe; Joel Fishbain; David Craft; Gregory Deye; Scott Riddell; Eric Milstrey; Bruno Petruccelli; Sylvain Brisse; Vanessa Harpin; Amy Schink; David J Ecker; Rangarajan Sampath; Mark W Eshoo
Journal:  J Clin Microbiol       Date:  2006-08       Impact factor: 5.948

4.  Risk factors for human disease emergence.

Authors:  L H Taylor; S M Latham; M E Woolhouse
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2001-07-29       Impact factor: 6.237

5.  Analysis of antibiotic resistance genes in multidrug-resistant Acinetobacter sp. isolates from military and civilian patients treated at the Walter Reed Army Medical Center.

Authors:  Kristine M Hujer; Andrea M Hujer; Edward A Hulten; Saralee Bajaksouzian; Jennifer M Adams; Curtis J Donskey; David J Ecker; Christian Massire; Mark W Eshoo; Rangarajan Sampath; Jodi M Thomson; Philip N Rather; David W Craft; Joel T Fishbain; Allesa J Ewell; Michael R Jacobs; David L Paterson; Robert A Bonomo
Journal:  Antimicrob Agents Chemother       Date:  2006-09-25       Impact factor: 5.191

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

Authors:  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 E Melton; Kevin Russell; Nikki Freed; Chris Barrozo; Jianguo Wu; Karl Rudnick; Anjali Desai; Emily Moradi; Duane J Knize; David W Robbins; James C Hannis; Patina M Harrell; Christian Massire; Thomas A Hall; Yun Jiang; Raymond Ranken; Jared J Drader; Neill White; John A McNeil; Stanley T Crooke; Steven A Hofstadler
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-23       Impact factor: 11.205

7.  Broad-range bacterial detection and the analysis of unexplained death and critical illness.

Authors:  Simo Nikkari; Fred A Lopez; Paul W Lepp; Paul R Cieslak; Stephen Ladd-Wilson; Douglas Passaro; Richard Danila; David A Relman
Journal:  Emerg Infect Dis       Date:  2002-02       Impact factor: 6.883

8.  Worldwide genetic relationships among Francisella tularensis isolates determined by multiple-locus variable-number tandem repeat analysis.

Authors:  Anders Johansson; Jason Farlow; Pär Larsson; Meghan Dukerich; Elias Chambers; Mona Byström; James Fox; May Chu; Mats Forsman; Anders Sjöstedt; Paul Keim
Journal:  J Bacteriol       Date:  2004-09       Impact factor: 3.490

9.  Rapid identification of emerging pathogens: coronavirus.

Authors:  Rangarajan Sampath; Steven A Hofstadler; Lawrence B Blyn; Mark W Eshoo; Thomas A Hall; Christian Massire; Harold M Levene; James C Hannis; Patina M Harrell; Benjamin Neuman; Michael J Buchmeier; Yun Jiang; Raymond Ranken; Jared J Drader; Vivek Samant; Richard H Griffey; John A McNeil; Stanley T Crooke; David J Ecker
Journal:  Emerg Infect Dis       Date:  2005-03       Impact factor: 6.883

10.  Global surveillance of emerging Influenza virus genotypes by mass spectrometry.

Authors:  Rangarajan Sampath; Kevin L Russell; Christian Massire; Mark W Eshoo; Vanessa Harpin; Lawrence B Blyn; Rachael Melton; Cristina Ivy; Thuy Pennella; Feng Li; Harold Levene; Thomas A Hall; Brian Libby; Nancy Fan; Demetrius J Walcott; Raymond Ranken; Michael Pear; Amy Schink; Jose Gutierrez; Jared Drader; David Moore; David Metzgar; Lynda Addington; Richard Rothman; Charlotte A Gaydos; Samuel Yang; Kirsten St George; Meghan E Fuschino; Amy B Dean; David E Stallknecht; Ginger Goekjian; Samuel Yingst; Marshall Monteville; Magdi D Saad; Chris A Whitehouse; Carson Baldwin; Karl H Rudnick; Steven A Hofstadler; Stanley M Lemon; David J Ecker
Journal:  PLoS One       Date:  2007-05-30       Impact factor: 3.240

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  119 in total

1.  Identification of pathogenic Vibrio species by multilocus PCR-electrospray ionization mass spectrometry and its application to aquatic environments of the former soviet republic of Georgia.

Authors:  Chris A Whitehouse; Carson Baldwin; Rangarajan Sampath; Lawrence B Blyn; Rachael Melton; Feng Li; Thomas A Hall; Vanessa Harpin; Heather Matthews; Marina Tediashvili; Ekaterina Jaiani; Tamar Kokashvili; Nino Janelidze; Christopher Grim; Rita R Colwell; Anwar Huq
Journal:  Appl Environ Microbiol       Date:  2010-01-29       Impact factor: 4.792

2.  Rapid identification of bla KPC-possessing Enterobacteriaceae by PCR/electrospray ionization-mass spectrometry.

Authors:  Andrea Endimiani; Kristine M Hujer; Andrea M Hujer; Rangarajan Sampath; David J Ecker; Robert A Bonomo
Journal:  J Antimicrob Chemother       Date:  2010-06-10       Impact factor: 5.790

3.  Detection and typing of viruses using broadly sensitive cocktail-PCR and mass spectrometric cataloging: demonstration with dengue virus.

Authors:  Charul Gijavanekar; Rafal Drabek; Mithil Soni; George W Jackson; Ulrich Strych; George E Fox; Yuriy Fofanov; Richard C Willson
Journal:  J Mol Diagn       Date:  2012-05-09       Impact factor: 5.568

4.  Broad-spectrum biosensor capable of detecting and identifying diverse bacterial and Candida species in blood.

Authors:  David Metzgar; Mark Frinder; Robert Lovari; Donna Toleno; Christian Massire; Lawrence B Blyn; Raymond Ranken; Heather E Carolan; Thomas A Hall; David Moore; Christian J Hansen; Rangarajan Sampath; David J Ecker
Journal:  J Clin Microbiol       Date:  2013-06-12       Impact factor: 5.948

5.  Identification of Streptococcus intermedius central nervous system infection by use of PCR and electrospray ionization mass spectrometry.

Authors:  Nisha S Bhatia; John J Farrell; Rangarajan Sampath; Raymond Ranken; Megan A Rounds; David J Ecker; Robert A Bonomo
Journal:  J Clin Microbiol       Date:  2012-10-03       Impact factor: 5.948

Review 6.  Non-phenotypic tests to detect and characterize antibiotic resistance mechanisms in Enterobacteriaceae.

Authors:  Agnese Lupo; Krisztina M Papp-Wallace; Parham Sendi; Robert A Bonomo; Andrea Endimiani
Journal:  Diagn Microbiol Infect Dis       Date:  2013-10-03       Impact factor: 2.803

7.  Rapid determination of quinolone resistance in Acinetobacter spp.

Authors:  Kristine M Hujer; Andrea M Hujer; Andrea Endimiani; Jodi M Thomson; Mark D Adams; Karrie Goglin; Philip N Rather; Thuy-Trang D Pennella; Christian Massire; Mark W Eshoo; Rangarajan Sampath; Lawrence B Blyn; David J Ecker; Robert A Bonomo
Journal:  J Clin Microbiol       Date:  2009-03-18       Impact factor: 5.948

8.  Rapid molecular genotyping and clonal complex assignment of Staphylococcus aureus isolates by PCR coupled to electrospray ionization-mass spectrometry.

Authors:  Thomas A Hall; Rangarajan Sampath; Lawrence B Blyn; Raymond Ranken; Cristina Ivy; Rachael Melton; Heather Matthews; Neill White; Feng Li; Vanessa Harpin; David J Ecker; Linda K McDougal; Brandi Limbago; Tracy Ross; Donna M Wolk; Vicki Wysocki; Karen C Carroll
Journal:  J Clin Microbiol       Date:  2009-03-18       Impact factor: 5.948

9.  Determining cystic fibrosis-affected lung microbiology: comparison of spontaneous and serially induced sputum samples by use of terminal restriction fragment length polymorphism profiling.

Authors:  Geraint B Rogers; Stuart Skelton; David J Serisier; Christopher J van der Gast; Kenneth D Bruce
Journal:  J Clin Microbiol       Date:  2009-11-11       Impact factor: 5.948

10.  A case of an atypical femoral fracture associated with bacterial biofilm--pathogen or bystander?

Authors:  T S Howe; G D Ehrlich; G Erlich; J S B Koh; A C M Ng; W Costerton
Journal:  Osteoporos Int       Date:  2012-11-15       Impact factor: 4.507

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