Pejman Naraghi-Arani
Lawrence Livermore National Laboratory
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Publication
Featured researches published by Pejman Naraghi-Arani.
Journal of Clinical Microbiology | 2008
Benjamin J. Hindson; Scott M. Reid; Brian R. Baker; Katja Ebert; Nigel P. Ferris; Lance F. Bentley Tammero; Raymond J. Lenhoff; Pejman Naraghi-Arani; Thomas R. Slezak; Pamela J. Hullinger; Donald P. King
ABSTRACT A high-throughput multiplexed assay was developed for the differential laboratory detection of foot-and-mouth disease virus (FMDV) from viruses that cause clinically similar diseases of livestock. This assay simultaneously screens for five RNA and two DNA viruses by using multiplexed reverse transcription-PCR (mRT-PCR) amplification coupled with a microsphere hybridization array and flow-cytometric detection. Two of the 17 primer-probe sets included in this multiplex assay were adopted from previously characterized real-time RT-PCR (rRT-PCR) assays for FMDV. The diagnostic accuracy of the mRT-PCR assay was evaluated using 287 field samples, including 247 samples (213 true-positive samples and 35 true-negative samples) from suspected cases of foot-and-mouth disease collected from 65 countries between 1965 and 2006 and 39 true-negative samples collected from healthy animals. The mRT-PCR assay results were compared to those of two singleplex rRT-PCR assays, using virus isolation with antigen enzyme-linked immunosorbent assays as the reference method. The diagnostic sensitivity of the mRT-PCR assay for FMDV was 93.9% (95% confidence interval [CI], 89.8 to 96.4%), and the sensitivity was 98.1% (95% CI, 95.3 to 99.3%) for the two singleplex rRT-PCR assays used in combination. In addition, the assay could reliably differentiate between FMDV and other vesicular viruses, such as swine vesicular disease virus and vesicular exanthema of swine virus. Interestingly, the mRT-PCR detected parapoxvirus (n = 2) and bovine viral diarrhea virus (n = 2) in clinical samples, demonstrating the screening potential of this mRT-PCR assay to identify viruses in FMDV-negative material not previously recognized by using focused single-target rRT-PCR assays.
Journal of Veterinary Diagnostic Investigation | 2009
William C. Wilson; Benjamin J. Hindson; Emily S. O'Hearn; Sara B. Hall; Christian Tellgren-Roth; Clinton Torres; Pejman Naraghi-Arani; James O. Mecham; Raymond J. Lenhoff
Bluetongue virus (BTV) causes disease in domestic and wild ruminants and results in significant economic loss. The closely related Epizootic hemorrhagic disease virus (EHDV) has been associated with bluetongue-like disease in cattle. Although U.S. EHDV strains have not been experimentally proven to cause disease in cattle, there is serologic evidence of infection in cattle. Therefore, rapid diagnosis and differentiation of BTV and EHDV is required. The genetic sequence information and bioinformatic analysis necessary to design a real-time reverse transcription polymerase chain reaction (RT-PCR) assay for the early detection of indigenous and exotic BTV and EHDV is described. This sequence data foundation focused on 2 conserved target genes: one that is highly expressed in infected mammalian cells, and the other is highly expressed in infected insect cells. The analysis of all BTV and EHDV prototype strains indicated that a complex primer design was necessary for both a virus group-comprehensive and virus group-specific gene amplification diagnostic test. This information has been used as the basis for the development of a rapid multiplex BTV-EHDV real-time RT-PCR that detects all known serotypes of both viruses and distinguishes between BTV and EHDV serogroups. The sensitivity of this rapid, single-tube, real-time RT-PCR assay is sufficient for diagnostic application, without the contamination problems associated with standard gel-based RT-PCR, especially nested RT-PCR tests.
PLOS ONE | 2015
Benjamin A. Pinsky; Malaya K. Sahoo; Johanna Sandlund; Marika Kleman; Medha Kulkarni; Per Grufman; Malin Nygren; Robert Kwiatkowski; Ellen Jo Baron; Fred C. Tenover; Blake Denison; Russell Higuchi; Reuel Van Atta; Neil Reginald Beer; Alda Celena Carrillo; Pejman Naraghi-Arani; Chad E. Mire; Charlene Ranadheera; Allen Grolla; Nina Lagerqvist; David H. Persing
Background The recently developed Xpert® Ebola Assay is a novel nucleic acid amplification test for simplified detection of Ebola virus (EBOV) in whole blood and buccal swab samples. The assay targets sequences in two EBOV genes, lowering the risk for new variants to escape detection in the test. The objective of this report is to present analytical characteristics of the Xpert® Ebola Assay on whole blood samples. Methods and Findings This study evaluated the assay’s analytical sensitivity, analytical specificity, inclusivity and exclusivity performance in whole blood specimens. EBOV RNA, inactivated EBOV, and infectious EBOV were used as targets. The dynamic range of the assay, the inactivation of virus, and specimen stability were also evaluated. The lower limit of detection (LoD) for the assay using inactivated virus was estimated to be 73 copies/mL (95% CI: 51–97 copies/mL). The LoD for infectious virus was estimated to be 1 plaque-forming unit/mL, and for RNA to be 232 copies/mL (95% CI 163–302 copies/mL). The assay correctly identified five different Ebola viruses, Yambuku-Mayinga, Makona-C07, Yambuku-Ecran, Gabon-Ilembe, and Kikwit-956210, and correctly excluded all non-EBOV isolates tested. The conditions used by Xpert® Ebola for inactivation of infectious virus reduced EBOV titer by ≥6 logs. Conclusion In summary, we found the Xpert® Ebola Assay to have high analytical sensitivity and specificity for the detection of EBOV in whole blood. It offers ease of use, fast turnaround time, and remote monitoring. The test has an efficient viral inactivation protocol, fulfills inclusivity and exclusivity criteria, and has specimen stability characteristics consistent with the need for decentralized testing. The simplicity of the assay should enable testing in a wide variety of laboratory settings, including remote laboratories that are not capable of performing highly complex nucleic acid amplification tests, and during outbreaks where time to detection is critical.
PLOS ONE | 2012
David Hysom; Pejman Naraghi-Arani; Maher Elsheikh; A. Celena Carrillo; Peter Williams; Shea N. Gardner
PriMux is a new software package for selecting multiplex compatible, degenerate primers and probes to detect diverse targets such as viruses. It requires no multiple sequence alignment, instead applying k-mer algorithms, hence it scales well for large target sets and saves user effort from curating sequences into alignable groups. PriMux has the capability to predict degenerate primers as well as probes suitable for TaqMan or other primer/probe triplet assay formats, or simply probes for microarray or other single-oligo assay formats. PriMux employs suffix array methods for efficient calculations on oligos 10-∼100 nt in length. TaqMan® primers and probes for each segment of Rift Valley fever virus were designed using PriMux, and lab testing comparing signatures designed using PriMux versus those designed using traditional methods demonstrated equivalent or better sensitivity for the PriMux-designed signatures compared to traditional signatures. In addition, we used PriMux to design TaqMan® primers and probes for unalignable or poorly alignable groups of targets: that is, all segments of Rift Valley fever virus analyzed as a single target set of 198 sequences, or all 2863 Dengue virus genomes for all four serotypes available at the time of our analysis. The PriMux software is available as open source from http://sourceforge.net/projects/PriMux.
Biotechnology and Bioengineering | 2013
Dietrich Dehlinger; Lynn Suer; Maher Elsheikh; José Peña; Pejman Naraghi-Arani
We have developed an automated cell counting method that uses images obtained at multiple focal heights to enumerate cells in confluent culture. By taking the derivative of image intensity with respect to focal height using two complementary images, we are able to count high‐density monolayers of cells over a large image area. Our method resists errors arising from variability in the focal plane caused by flatness or tilt non‐uniformities with a minimal amount of focal plane alignment, allowing the automated collection of images across a large area. Biotechnol. Bioeng.
PLOS Neglected Tropical Diseases | 2014
José Peña; Jessica A. Plante; Alda Celena Carillo; Kimberly K. Roberts; Jennifer K. Smith; Terry L. Juelich; David W. C. Beasley; Alexander N. Freiberg; Montiago X. LaBute; Pejman Naraghi-Arani
Background and purpose The ability to track changes in gene expression following viral infection is paramount to understanding viral pathogenesis. This study was undertaken to evaluate the nCounter, a high throughput digital gene expression system, as a means to better understand West Nile virus (WNV) dissemination and the inflammatory response against WNV in the outbred Swiss Webster (SW) mouse model over the course of infection. Methodology The nCounter Mouse Inflammation gene expression kit containing 179 inflammation related genes was used to analyze gene expression changes in multiple tissues over a nine day course of infection in SW mice following intraperitoneal injection with WNV. Protein expression levels for a subset of these cytokine/chemokine genes were determined using a multiplex protein detection system (BioPlex) and comparisons of protein/RNA expression levels made. Results Expression analysis of spleen, lung, liver, kidney and brain of SW mice infected with WNV revealed that Cxcl10 and Il12b are differentially expressed in all tissues tested except kidney. Data stratification of positively confirmed infected (WNV (+)) versus non-infected (WNV (−) tissues allowed differentiation of the systemic inflammatory gene response from tissue-specific responses arising from WNV infection. Significant (p<0.05) decrease in C3ar1 was found in WNV (−) spleen. Il23a was significantly upregulated, while Il10rb was down-regulated in WNV (−) lung. Il3 and Mbl2 were down-regulated in WNV (−) liver. In WNV (+) livers, Stat1, Tlr2, chemokines Cxcl1, Cxcl3, Cxcl9, Cxcl10, cytokines Il6, Il18, cytokine-related gene Il1r and cytokine agonist Ilrn were significantly upregulated. In WNV (−) brain tissues, Csf2 and Cxcl10 were significantly upregulated. Similar gene and protein expression kinetics were found for Ccl2, Ccl3, Ccl4 and Ccl5 and correlated with the presence of infectious virus. In summary, the utility of the nCounter platform for rapid identification of gene expression changes in SW mice associated with WNV infection was demonstrated.
Bioinformatics and Biology Insights | 2014
Adam Zemla; Tanya Kostova; Rodion Gorchakov; Evgeniya Volkova; David W. C. Beasley; Jane Cardosa; Scott C. Weaver; Nikos Vasilakis; Pejman Naraghi-Arani
A computational approach for identification and assessment of genomic sequence variability (GeneSV) is described. For a given nucleotide sequence, GeneSV collects information about the permissible nucleotide variability (changes that potentially preserve function) observed in corresponding regions in genomic sequences, and combines it with conservation/variability results from protein sequence and structure-based analyses of evaluated protein coding regions. GeneSV was used to predict effects (functional vs. non-functional) of 37 amino acid substitutions on the NS5 polymerase (RdRp) of dengue virus type 2 (DENV-2), 36 of which are not observed in any publicly available DENV-2 sequence. 32 novel mutants with single amino acid substitutions in the RdRp were generated using a DENV-2 reverse genetics system. In 81% (26 of 32) of predictions tested, GeneSV correctly predicted viability of introduced mutations. In 4 of 5 (80%) mutants with double amino acid substitutions proximal in structure to one another GeneSV was also correct in its predictions. Predictive capabilities of the developed system were illustrated on dengue RNA virus, but described in the manuscript a general approach to characterize real or theoretically possible variations in genomic and protein sequences can be applied to any organism.
Nature Biotechnology | 2018
Arjang Hassibi; Arun Manickam; Rituraj Singh; Sara Bolouki; Ruma Sinha; Kshama Jirage; Mark W. McDermott; Babak Hassibi; Haris Vikalo; Gelareh Mazarei; Lei Pei; Luc Bousse; Mark A. Miller; Mehrdad Heshami; M. Savage; Michael T Taylor; Nader Gamini; Nicholas Wood; Pallavi Mantina; Patrick Grogan; Peter Kuimelis; Piyush Savalia; Scott Conradson; Yuan Li; Rich B Meyer; Edmond Ku; Jessica Ebert; Benjamin A. Pinsky; Gregory Dolganov; Tran Van
The emergence of pathogens resistant to existing antimicrobial drugs is a growing worldwide health crisis that threatens a return to the pre-antibiotic era. To decrease the overuse of antibiotics, molecular diagnostics systems are needed that can rapidly identify pathogens in a clinical sample and determine the presence of mutations that confer drug resistance at the point of care. We developed a fully integrated, miniaturized semiconductor biochip and closed-tube detection chemistry that performs multiplex nucleic acid amplification and sequence analysis. The approach had a high dynamic range of quantification of microbial load and was able to perform comprehensive mutation analysis on up to 1,000 sequences or strands simultaneously in <2 h. We detected and quantified multiple DNA and RNA respiratory viruses in clinical samples with complete concordance to a commercially available test. We also identified 54 drug-resistance-associated mutations that were present in six genes of Mycobacterium tuberculosis, all of which were confirmed by next-generation sequencing.
Biology Methods and Protocols | 2018
Arjang Hassibi; Jessica Ebert; Sara Bolouki; Alexander Anemogiannis; Gelareh Mazarei; Yuan Li; Kirsten A. Johnson; Tran Van; Pallavi Mantina; Taraneh Gharooni; Kshama Jirage; Lei Pei; Ruma Sinha; Arun Manickam; Amin Zia; Pejman Naraghi-Arani; Gary K. Schoolnik; Robert G. Kuimelis
Abstract PCR-based techniques are widely used to identify disease causing bacterial and viral pathogens, especially in point-of-care or near-patient clinical settings that require rapid results and sample-to-answer workflows. However, such techniques often fail to differentiate between closely related species that have highly variable genomes. Here, a homogenous (closed-tube) pathogen identification and classification method is described that combines PCR amplification, array-based amplicon sequence verification, and real-time detection using an inverse fluorescence fluorescence-resonance energy transfer technique. The amplification is designed to satisfy the inclusivity criteria and create ssDNA amplicons, bearing a nonradiating quencher moiety at the 5ʹ-terminus, for all the related species. The array includes fluorescent-labeled probes which preferentially capture the variants of the amplicons and classify them through solid-phase thermal denaturing (melt curve) analysis. Systematic primer and probe design algorithms and empirical validation methods are presented and successfully applied to the challenging example of identification of, and differentiation between, closely related human rhinovirus and human enterovirus strains.
international solid-state circuits conference | 2017
Arjang Hassibi; Rituraj Singh; Arun Manickam; Ruma Sinha; Bob Kuimelis; Sara Bolouki; Pejman Naraghi-Arani; Kirsten A. Johnson; Mark W. McDermott; Nicholas Wood; Piyush Savalia; Nader Gamini
Integration and miniaturization of bio-molecular detection systems into electronic biosensors and lab-on-chip platforms is of great importance. One widely recognized application area for such devices is nucleic acid (DNA and RNA) detection, specifically, nucleic acid amplification testing (NAAT), which relies on enzymatic processes such as polymerase chain reaction (PCR) to increase the copy number of target sequences and detecting them spectroscopically [1,2].