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Dive into the research topics where Jennifer L. Gardy is active.

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Featured researches published by Jennifer L. Gardy.


Bioinformatics | 2005

PSORTb v.2.0: Expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis

Jennifer L. Gardy; Matthew R. Laird; Fei Chen; Sébastien Rey; C. J. Walsh; Martin Ester; Fiona S. L. Brinkman

MOTIVATION PSORTb v.1.1 is the most precise bacterial localization prediction tool available. However, the programs predictive coverage and recall are low and the method is only applicable to Gram-negative bacteria. The goals of the present work are as follows: increase PSORTbs coverage while maintaining the existing precision level, expand it to include Gram-positive bacteria and then carry out a comparative analysis of localization. RESULTS An expanded database of proteins of known localization and new modules using frequent subsequence-based support vector machines was introduced into PSORTb v.2.0. The program attains a precision of 96% for Gram-positive and Gram-negative bacteria and predictive coverage comparable to other tools for whole proteome analysis. We show that the proportion of proteins at each localization is remarkably consistent across species, even in species with varying proteome size. AVAILABILITY Web-based version: http://www.psort.org/psortb. Standalone version: Available through the website under GNU General Public License. CONTACT [email protected], [email protected] SUPPLEMENTARY INFORMATION http://www.psort.org/psortb/supplementaryinfo.html.


Molecular Systems Biology | 2008

InnateDB: facilitating systems‐level analyses of the mammalian innate immune response

David J. Lynn; Geoffrey L. Winsor; Calvin Chan; Nicolas Richard; Matthew R. Laird; Aaron Barsky; Jennifer L. Gardy; Fiona M. Roche; Timothy H.W. Chan; Naisha Shah; Raymond Lo; Misbah Naseer; Jaimmie Que; Melissa Yau; Michael Acab; Dan Tulpan; Matthew D. Whiteside; Avinash Chikatamarla; Bernadette Mah; Tamara Munzner; Karsten Hokamp; Robert E. W. Hancock; Fiona S. L. Brinkman

Although considerable progress has been made in dissecting the signaling pathways involved in the innate immune response, it is now apparent that this response can no longer be productively thought of in terms of simple linear pathways. InnateDB (www.innatedb.ca) has been developed to facilitate systems‐level analyses that will provide better insight into the complex networks of pathways and interactions that govern the innate immune response. InnateDB is a publicly available, manually curated, integrative biology database of the human and mouse molecules, experimentally verified interactions and pathways involved in innate immunity, along with centralized annotation on the broader human and mouse interactomes. To date, more than 3500 innate immunity‐relevant interactions have been contextually annotated through the review of 1000 plus publications. Integrated into InnateDB are novel bioinformatics resources, including network visualization software, pathway analysis, orthologous interaction network construction and the ability to overlay user‐supplied gene expression data in an intuitively displayed molecular interaction network and pathway context, which will enable biologists without a computational background to explore their data in a more systems‐oriented manner.


PLOS Medicine | 2010

Association between the 2008-09 seasonal influenza vaccine and pandemic H1N1 illness during Spring-Summer 2009: four observational studies from Canada.

Danuta M. Skowronski; Gaston De Serres; Natasha S. Crowcroft; Naveed Z. Janjua; Nicole Boulianne; Travis Salway Hottes; Laura Rosella; James A. Dickinson; Rodica Gilca; Pam Sethi; Najwa Ouhoummane; Donald J. Willison; Isabelle Rouleau; Martin Petric; Kevin Fonseca; Steven J. Drews; Anuradha Rebbapragada; Hugues Charest; Marie-Ève Hamelin; Guy Boivin; Jennifer L. Gardy; Yan Li; Trijntje L. Kwindt; David M. Patrick; Robert C. Brunham

BACKGROUND In late spring 2009, concern was raised in Canada that prior vaccination with the 2008-09 trivalent inactivated influenza vaccine (TIV) was associated with increased risk of pandemic influenza A (H1N1) (pH1N1) illness. Several epidemiologic investigations were conducted through the summer to assess this putative association. METHODS AND FINDINGS STUDIES INCLUDED (1) test-negative case-control design based on Canadas sentinel vaccine effectiveness monitoring system in British Columbia, Alberta, Ontario, and Quebec; (2) conventional case-control design using population controls in Quebec; (3) test-negative case-control design in Ontario; and (4) prospective household transmission (cohort) study in Quebec. Logistic regression was used to estimate odds ratios for TIV effect on community- or hospital-based laboratory-confirmed seasonal or pH1N1 influenza cases compared to controls with restriction, stratification, and adjustment for covariates including combinations of age, sex, comorbidity, timeliness of medical visit, prior physician visits, and/or health care worker (HCW) status. For the prospective study risk ratios were computed. Based on the sentinel study of 672 cases and 857 controls, 2008-09 TIV was associated with statistically significant protection against seasonal influenza (odds ratio 0.44, 95% CI 0.33-0.59). In contrast, estimates from the sentinel and three other observational studies, involving a total of 1,226 laboratory-confirmed pH1N1 cases and 1,505 controls, indicated that prior receipt of 2008-09 TIV was associated with increased risk of medically attended pH1N1 illness during the spring-summer 2009, with estimated risk or odds ratios ranging from 1.4 to 2.5. Risk of pH1N1 hospitalization was not further increased among vaccinated people when comparing hospitalized to community cases. CONCLUSIONS Prior receipt of 2008-09 TIV was associated with increased risk of medically attended pH1N1 illness during the spring-summer 2009 in Canada. The occurrence of bias (selection, information) or confounding cannot be ruled out. Further experimental and epidemiological assessment is warranted. Possible biological mechanisms and immunoepidemiologic implications are considered.


Nature Genetics | 2013

Mycobacterium tuberculosis mutation rate estimates from different lineages predict substantial differences in the emergence of drug-resistant tuberculosis

Christopher B. Ford; Rupal R. Shah; Midori Kato Maeda; Sebastien Gagneux; Megan Murray; Ted Cohen; James C. Johnston; Jennifer L. Gardy; Marc Lipsitch; Sarah M. Fortune

A key question in tuberculosis control is why some strains of M. tuberculosis are preferentially associated with resistance to multiple drugs. We demonstrate that M. tuberculosis strains from lineage 2 (East Asian lineage and Beijing sublineage) acquire drug resistances in vitro more rapidly than M. tuberculosis strains from lineage 4 (Euro-American lineage) and that this higher rate can be attributed to a higher mutation rate. Moreover, the in vitro mutation rate correlates well with the bacterial mutation rate in humans as determined by whole-genome sequencing of clinical isolates. Finally, using a stochastic mathematical model, we demonstrate that the observed differences in mutation rate predict a substantially higher probability that patients infected with a drug-susceptible lineage 2 strain will harbor multidrug-resistant bacteria at the time of diagnosis. These data suggest that interventions to prevent the emergence of drug-resistant tuberculosis should target bacterial as well as treatment-related risk factors.


Nature Genetics | 2013

Genomic analysis identifies targets of convergent positive selection in drug-resistant Mycobacterium tuberculosis.

Maha R. Farhat; B. Jesse Shapiro; Karen J. Kieser; Razvan Sultana; Karen R. Jacobson; Thomas C. Victor; Robin M. Warren; Elizabeth M. Streicher; Alistair Calver; Alexander Sloutsky; Devinder Kaur; Jamie E. Posey; Bonnie B. Plikaytis; Marco R. Oggioni; Jennifer L. Gardy; James C. Johnston; Mabel Rodrigues; Patrick Tang; Midori Kato-Maeda; Mark L. Borowsky; Bhavana Muddukrishna; Barry N. Kreiswirth; Natalia Kurepina; James E. Galagan; Sebastien Gagneux; Bruce Birren; Eric J. Rubin; Eric S. Lander; Pardis C. Sabeti; Megan Murray

M. tuberculosis is evolving antibiotic resistance, threatening attempts at tuberculosis epidemic control. Mechanisms of resistance, including genetic changes favored by selection in resistant isolates, are incompletely understood. Using 116 newly sequenced and 7 previously sequenced M. tuberculosis whole genomes, we identified genome-wide signatures of positive selection specific to the 47 drug-resistant strains. By searching for convergent evolution—the independent fixation of mutations in the same nucleotide position or gene—we recovered 100% of a set of known resistance markers. We also found evidence of positive selection in an additional 39 genomic regions in resistant isolates. These regions encode components in cell wall biosynthesis, transcriptional regulation and DNA repair pathways. Mutations in these regions could directly confer resistance or compensate for fitness costs associated with resistance. Functional genetic analysis of mutations in one gene, ponA1, demonstrated an in vitro growth advantage in the presence of the drug rifampicin.


Bioinformatics | 2007

Cerebral: a Cytoscape plugin for layout of and interaction with biological networks using subcellular localization annotation

Aaron Barsky; Jennifer L. Gardy; Robert E. W. Hancock; Tamara Munzner

UNLABELLED Cerebral (Cell Region-Based Rendering And Layout) is an open-source Java plugin for the Cytoscape biomolecular interaction viewer. Given an interaction network and subcellular localization annotation, Cerebral automatically generates a view of the network in the style of traditional pathway diagrams, providing an intuitive interface for the exploration of a biological pathway or system. The molecules are separated into layers according to their subcellular localization. Potential products or outcomes of the pathway can be shown at the bottom of the view, clustered according to any molecular attribute data-protein function-for example. Cerebral scales well to networks containing thousands of nodes. AVAILABILITY http://www.pathogenomics.ca/cerebral


Infection and Immunity | 2008

The Commensal Streptococcus salivarius K12 Downregulates the Innate Immune Responses of Human Epithelial Cells and Promotes Host-Microbe Homeostasis

Celine Cosseau; Deirdre A. Devine; Edie Dullaghan; Jennifer L. Gardy; Avinash Chikatamarla; Shaan L. Gellatly; Lorraine L. Yu; Jelena Pistolic; Reza Falsafi; John R. Tagg; Robert E. W. Hancock

ABSTRACT Streptococcus salivarius is an early colonizer of human oral and nasopharyngeal epithelia, and strain K12 has reported probiotic effects. An emerging paradigm indicates that commensal bacteria downregulate immune responses through the action on NF-κB signaling pathways, but additional mechanisms underlying probiotic actions are not well understood. Our objective here was to identify host genes specifically targeted by K12 by comparing their responses with responses elicited by pathogens and to determine if S. salivarius modulates epithelial cell immune responses. RNA was extracted from human bronchial epithelial cells (16HBE14O- cells) cocultured with K12 or bacterial pathogens. cDNA was hybridized to a human 21K oligonucleotide-based array. Data were analyzed using ArrayPipe, InnateDB, PANTHER, and oPOSSUM. Interleukin 8 (IL-8) and growth-regulated oncogene alpha (Groα) secretion were determined by enzyme-linked immunosorbent assay. It was demonstrated that S. salivarius K12 specifically altered the expression of 565 host genes, particularly those involved in multiple innate defense pathways, general epithelial cell function and homeostasis, cytoskeletal remodeling, cell development and migration, and signaling pathways. It inhibited baseline IL-8 secretion and IL-8 responses to LL-37, Pseudomonas aeruginosa, and flagellin in epithelial cells and attenuated Groα secretion in response to flagellin. Immunosuppression was coincident with the inhibition of activation of the NF-κB pathway. Thus, the commensal and probiotic behaviors of S. salivarius K12 are proposed to be due to the organism (i) eliciting no proinflammatory response, (ii) stimulating an anti-inflammatory response, and (iii) modulating genes associated with adhesion to the epithelial layer and homeostasis. S. salivarius K12 might thereby ensure that it is tolerated by the host and maintained on the epithelial surface while actively protecting the host from inflammation and apoptosis induced by pathogens.


Nucleic Acids Research | 2004

PSORTdb: a protein subcellular localization database for bacteria

Sébastien Rey; Michael Acab; Jennifer L. Gardy; Matthew R. Laird; Katalin deFays; Christophe Lambert; Fiona S. L. Brinkman

Information about bacterial subcellular localization (SCL) is important for protein function prediction and identification of suitable drug/vaccine/diagnostic targets. PSORTdb (http://db.psort.org/) is a web-accessible database of SCL for bacteria that contains both information determined through laboratory experimentation and computational predictions. The dataset of experimentally verified information (∼2000 proteins) was manually curated by us and represents the largest dataset of its kind. Earlier versions have been used for training SCL predictors, and its incorporation now into this new PSORTdb resource, with its associated additional annotation information and dataset version control, should aid researchers in future development of improved SCL predictors. The second component of this database contains computational analyses of proteins deduced from the most recent NCBI dataset of completely sequenced genomes. Analyses are currently calculated using PSORTb, the most precise automated SCL predictor for bacterial proteins. Both datasets can be accessed through the web using a very flexible text search engine, a data browser, or using BLAST, and the entire database or search results may be downloaded in various formats. Features such as GO ontologies and multiple accession numbers are incorporated to facilitate integration with other bioinformatics resources. PSORTdb is freely available under GNU General Public License.


Journal of Immunology | 2009

Intracellular Receptor for Human Host Defense Peptide LL-37 in Monocytes

Neeloffer Mookherjee; Dustin Lippert; Pamela Hamill; Reza Falsafi; Anastasia Nijnik; Jason Kindrachuk; Jelena Pistolic; Jennifer L. Gardy; Pegah Miri; Misbah Naseer; Leonard J. Foster; Robert E. W. Hancock

The human cationic host defense peptide LL-37 has a broad range of immunomodulatory, anti-infective functions. A synthetic innate defense regulator peptide, innate defense regulator 1 (IDR-1), based conceptually on LL-37, was recently shown to selectively modulate innate immunity to protect against a wide range of bacterial infections. Using advanced proteomic techniques, ELISA, and Western blotting procedures, GAPDH was identified as a direct binding partner for LL-37 in monocytes. Enzyme kinetics and mobility shift studies also indicated LL-37 and IDR-1 binding to GAPDH. The functional relevance of GAPDH in peptide-induced responses was demonstrated by using gene silencing of GAPDH with small interfering RNA (siRNA). Previous studies have established that the induction of chemokines and the anti-inflammatory cytokine IL-10 are critical immunomodulatory functions in the anti-infective properties of LL-37 and IDR-1, and these functions are modulated by the MAPK p38 pathway. Consistent with that, this study demonstrated the importance of the GAPDH interactions with these peptides since gene silencing of GAPDH resulted in impaired p38 MAPK signaling, downstream chemokine and cytokine transcriptional responses induced by LL-37 and IDR-1, and LL-37-induced cytokine production. Bioinformatic analysis, using InnateDB, of the major interacting partners of GAPDH indicated the likelihood that this protein can impact on innate immune pathways including p38 MAPK. Thus, this study has demonstrated a novel function for GAPDH as a mononuclear cell receptor for human cathelicidin LL-37 and immunomodulatory IDR-1 and conclusively demonstrated its relevance in the functioning of cationic host defense peptides.


Trends in Immunology | 2009

Enabling a systems biology approach to immunology: focus on innate immunity

Jennifer L. Gardy; David J. Lynn; Fiona S. L. Brinkman; Robert E. W. Hancock

Immunity is not simply the product of a series of discrete linear signalling pathways; rather it is comprised of a complex set of integrated responses arising from a dynamic network of thousands of molecules subject to multiple influences. Its behaviour often cannot be explained or predicted solely by examining its components. Here, we review recently developed resources for the systems-level investigation of immunity. Although innate immunity is emphasized here, its considerable overlap with adaptive immunity makes many of these resources relevant to both arms of the immune response. We discuss recent studies implementing these approaches and illustrate the potential of systems biology to generate novel insights into the complexities of innate immunity.

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Robert E. W. Hancock

University of British Columbia

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David M. Patrick

University of British Columbia

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Ruth R. Miller

University of British Columbia

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Danuta M. Skowronski

BC Centre for Disease Control

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James C. Johnston

University of British Columbia

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Naveed Z. Janjua

University of British Columbia

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Tamara Munzner

University of British Columbia

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Anamaria Crisan

University of British Columbia

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Reza Falsafi

University of British Columbia

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