Jared J. Drader
Isis Pharmaceuticals
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Publication
Featured researches published by Jared J. Drader.
Proceedings of the National Academy of Sciences of the United States of America | 2005
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.
PLOS ONE | 2007
Rangarajan Sampath; Kevin L. Russell; Christian Massire; Mark W. Eshoo; Vanessa Harpin; Lawrence B. Blyn; Rachael Melton; Cristina Ivy; Thuy Trang D Pennella; Feng Li; Harold Levene; Thomas A. Hall; Brian Libby; Nancy Fan; Demetrius J. Walcott; Raymond Ranken; Michael Pear; Amy Schink; Jose R. Gutierrez; Jared J. Drader; David Moore; David Metzgar; Lynda Addington; Richard E. Rothman; Charlotte A. Gaydos; Samuel Yang; Kirsten St. George; Meghan E. Fuschino; Amy B. Dean; David E. Stallknecht
Background Effective influenza surveillance requires new methods capable of rapid and inexpensive genomic analysis of evolving viral species for pandemic preparedness, to understand the evolution of circulating viral species, and for vaccine strain selection. We have developed one such approach based on previously described broad-range reverse transcription PCR/electrospray ionization mass spectrometry (RT-PCR/ESI-MS) technology. Methods and Principal Findings Analysis of base compositions of RT-PCR amplicons from influenza core gene segments (PB1, PB2, PA, M, NS, NP) are used to provide sub-species identification and infer influenza virus H and N subtypes. Using this approach, we detected and correctly identified 92 mammalian and avian influenza isolates, representing 30 different H and N types, including 29 avian H5N1 isolates. Further, direct analysis of 656 human clinical respiratory specimens collected over a seven-year period (1999–2006) showed correct identification of the viral species and subtypes with >97% sensitivity and specificity. Base composition derived clusters inferred from this analysis showed 100% concordance to previously established clades. Ongoing surveillance of samples from the recent influenza virus seasons (2005–2006) showed evidence for emergence and establishment of new genotypes of circulating H3N2 strains worldwide. Mixed viral quasispecies were found in approximately 1% of these recent samples providing a view into viral evolution. Conclusion/Significance Thus, rapid RT-PCR/ESI-MS analysis can be used to simultaneously identify all species of influenza viruses with clade-level resolution, identify mixed viral populations and monitor global spread and emergence of novel viral genotypes. This high-throughput method promises to become an integral component of influenza surveillance.
Emerging Infectious Diseases | 2005
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.
BioTechniques | 2004
Matthew N. Van Ert; Steven A. Hofstadler; Yun Jiang; Joseph D. Busch; David M. Wagner; Jared J. Drader; David J. Ecker; James C. Hannis; Lynn Y. Huynh; James M. Schupp; Tatum S. Simonson; Paul Keim
Epidemiological and forensic analyses of bioterrorism events involving Bacillus anthracis could be improved if both variable number tandem repeats (VNTRs) and single nucleotide polymorphisms (SNPs) could be combined on a single analysis platform. Here we present the use of electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry (ESI-FTICR-MS) to characterize 24 alleles from 6 VNTR loci and 11 alleles from 7 SNP loci in B. anthracis. The results obtained with ESI-FTICR-MS were consistent with independent results obtained from traditional approaches using electrophoretic detection of fluorescent products. However, ESI-FTICR-MS improves on the traditional approaches because it does not require fluorescent labeling of PCR products, minimizes post-PCR processing, obviates electrophoresis, and provides unambiguous base composition of both SNP and VNTR PCR products. In addition, ESI-FTICR-MS allows both marker types to be examined simultaneously and at a rate of approximately 1 sample per min. This technology represents a significant advance in our ability to rapidly characterize B. anthracis isolates using VNTR and SNP loci.
Diagnostic Microbiology and Infectious Disease | 2009
Carson Baldwin; Gerald B. Howe; Ranga Sampath; Larry B. Blyn; Heather Matthews; Vanessa Harpin; Thomas A. Hall; Jared J. Drader; Steve Hofstadler; Mark W. Eshoo; Karl Rudnick; Karen Studarus; David Moore; Sharon L. Abbott; J. Michael Janda; Chris A. Whitehouse
Polymerase chain reaction electrospray ionization mass spectrometry (PCR/ESI-MS) was tested for its ability to accurately identify a blinded panel of 156 diverse bacterial isolates, mostly human and/or animal pathogens. Here, 142/156 (91%) isolates were correctly identified to the genus level and 115/156 (74%) were correctly identified to the species level. Only 9% were misidentified. This study shows that multilocus PCR/ESI-MS has the potential to be a useful technique for identifying a broad range of bacteria.
International Journal of Mass Spectrometry | 2005
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
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
Journal of the American Chemical Society | 2000
Richard H. Griffey; Kristin A. Sannes-Lowery; Jared J. Drader; Venkatraman Mohan; Eric E. Swayze; Steven A. Hofstadler
Trends in Analytical Chemistry | 2000
Kristin A. Sannes-Lowery; Jared J. Drader; Richard H. Griffey; Steven A. Hofstadler
Journal of Natural Products | 2003
Lendell L. Cummins; Shuo Chen; Larry B. Blyn; Kristin A. Sannes-Lowery; Jared J. Drader; Richard H. Griffey; Steven A. Hofstadler