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Waldor, Matthew

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Waldor

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Matthew

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Waldor, Matthew

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Now showing 1 - 5 of 5
  • Publication

    ARTIST: High-Resolution Genome-Wide Assessment of Fitness Using Transposon-Insertion Sequencing

    (Public Library of Science, 2014) Pritchard, Justin R.; Chao, Michael C.; Abel, Sören; Davis, Brigid M.; Baranowski, Catherine; Zhang, Yanjia; Rubin, Eric; Waldor, Matthew

    Transposon-insertion sequencing (TIS) is a powerful approach for deciphering genetic requirements for bacterial growth in different conditions, as it enables simultaneous genome-wide analysis of the fitness of thousands of mutants. However, current methods for comparative analysis of TIS data do not adjust for stochastic experimental variation between datasets and are limited to interrogation of annotated genomic elements. Here, we present ARTIST, an accessible TIS analysis pipeline for identifying essential regions that are required for growth under optimal conditions as well as conditionally essential loci that participate in survival only under specific conditions. ARTIST uses simulation-based normalization to model and compensate for experimental noise, and thereby enhances the statistical power in conditional TIS analyses. ARTIST also employs a novel adaptation of the hidden Markov model to generate statistically robust, high-resolution, annotation-independent maps of fitness-linked loci across the entire genome. Using ARTIST, we sensitively and comprehensively define Mycobacterium tuberculosis and Vibrio cholerae loci required for host infection while limiting inclusion of false positive loci. ARTIST is applicable to a broad range of organisms and will facilitate TIS-based dissection of pathways required for microbial growth and survival under a multitude of conditions.

  • Publication

    Analysis of Bottlenecks in Experimental Models of Infection

    (Public Library of Science, 2015) Abel, Sören; Abel zur Wiesch, Pia; Davis, Brigid M.; Waldor, Matthew
  • Publication

    Chemoproteomic profiling of host and pathogen enzymes active in cholera

    (2016) Hatzios, Stavroula K.; Abel, Sören; Martell, Julianne; Hubbard, Troy P.; Sasabe, Jumpei; Munera, Diana; Clark, Lars; Bachovchin, Daniel A.; Qadri, Firdausi; Ryan, Edward; Davis, Brigid M.; Weerapana, Eranthie; Waldor, Matthew

    Activity-based protein profiling (ABPP) is a chemoproteomic tool for detecting active enzymes in complex biological systems. We used ABPP to identify secreted bacterial and host serine hydrolases that are active in animals infected with the cholera pathogen Vibrio cholerae. Four V. cholerae proteases were consistently active in infected rabbits, and one, VC0157 (renamed IvaP), was also active in human cholera stool. Inactivation of IvaP influenced the activity of other secreted V. cholerae and rabbit enzymes in vivo, while genetic disruption of all four proteases increased the abundance and binding of an intestinal lectin—intelectin—to V. cholerae in infected rabbits. Intelectin also bound to other enteric bacterial pathogens, suggesting it may constitute a previously unrecognized mechanism of bacterial surveillance in the intestine that is inhibited by pathogen-secreted proteases. Our work demonstrates the power of activity-based proteomics to reveal host-pathogen enzymatic dialogue in an animal model of infection.

  • Publication

    Sequence tag–based analysis of microbial population dynamics

    (Nature Publishing Group, 2015) Abel, Sören; Abel zur Wiesch, Pia; Chang, Hsiao-Han; Davis, Brigid M.; Lipsitch, Marc; Waldor, Matthew

    We describe sequence tag-based analysis of microbial populations (STAMP) for characterization of pathogen population dynamics during infection. STAMP analyzes the frequency changes of genetically 'barcoded' organisms to quantify population bottlenecks and infer the founding population size. Analyses of intraintestinal Vibrio cholerae revealed infection-stage and region-specific host barriers to infection and showed unexpected V. cholerae migration counter to intestinal flow. STAMP provides a robust, widely applicable analytical framework for high-confidence characterization of in vivo microbial dissemination.

  • Publication

    STAMP: Sequence tag-based analysis of microbial population dynamics

    (2014) Abel, Sören; zur Wiesch, Pia Abel; Chang, Hsiao-Han; Davis, Brigid M.; Lipsitch, Marc; Waldor, Matthew

    We describe a new method (STAMP) for characterization of pathogen population dynamics during infection. STAMP analyzes the frequency changes of genetically “barcoded” organisms to quantify population bottlenecks and infer the founding population size. Analyses of intra-intestinal Vibrio cholerae revealed infection-stage and region-specific host barriers to infection, and unexpectedly showed V. cholerae migration counter to intestinal flow. STAMP provides a robust, widely applicable analytical framework for high confidence characterization of in vivo microbial dissemination.