Yun Jiang
Isis Pharmaceuticals
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Publication
Featured researches published by Yun Jiang.
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.
Journal of Laboratory Automation | 2006
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
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.
Clinical Chemistry | 2006
Yun Jiang; Thomas A. Hall; Steven A. Hofstadler; Robert K. Naviaux
Abstract Background: Mitochondrial DNA (mtDNA) mutations cause a large spectrum of clinically important neurodegenerative, neuromuscular, cardiovascular, and endocrine disorders. We describe the novel application of electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry (ESI-FTICR MS) to the rapid and accurate identification of pathogenic mtDNA variants. Methods: In a blinded study, we used ESI-FTICR MS to analyze 24 unrelated samples of total cellular DNA containing 12 mtDNA variants and compared the results with those obtained by conventional PCR-restriction fragment length polymorphism (PCR-RFLP) analysis and gel electrophoresis. Results: From the 24-sample blinded panel, we correctly identified 12 of the samples as bearing an mtDNA variant and found the remaining 12 samples to have no pathogenic variants. The correlation coefficient between the 2 methods for mtDNA variant detection was 1.0; there were no false positives or false negatives in this sample set. In addition, the ESI-FTICR method identified 4 single-nucleotide polymorphisms (SNP) that had previously been missed by standard PCR-RFLP analysis. Conclusions: ESI-FTICR MS is a rapid, sensitive, and accurate method for the identification and quantification of mtDNA mutations and SNPs.
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 | 2003
Yun Jiang; Steven A. Hofstadler
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
Archive | 2003
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
Journal of the American Chemical Society | 2003
Xiaodong Shi; Katherine M. Mullaugh; James C. Fettinger; Yun Jiang; Steven A. Hofstadler; Jeffery T. Davis