48 research outputs found

    DataSheet6.xls

    No full text
    <p>The development of antibiotic tolerance is believed to be a major factor in the lengthy duration of current tuberculosis therapies. In the current study, we have modeled antibiotic tolerance in vitro by exposing Mycobacterium tuberculosis to two distinct stress conditions: progressive hypoxia and nutrient starvation [phosphate-buffered saline (PBS)]. We then studied the bacterial transcriptional response using RNA-seq and employed a bioinformatics approach to identify important transcriptional regulators, which was facilitated by a novel Regulon Enrichment Test (RET). A total of 17 transcription factor (TF) regulons were enriched in the hypoxia gene set and 16 regulons were enriched in the nutrient starvation, with 12 regulons enriched in both conditions. Using the same approach to analyze previously published gene expression datasets, we found that three M. tuberculosis regulons (Rv0023, SigH, and Crp) were commonly induced in both stress conditions and were also among the regulons enriched in our data. These regulators are worthy of further study to determine their potential role in the development and maintenance of antibiotic tolerance in M. tuberculosis following stress exposure.</p

    Overexpression of <i>M</i>. <i>bovis</i> BCG lipoproteins increases HIV susceptibility of <i>M</i>. <i>smegmatis</i>-infected human CD4+ T cells.

    No full text
    <p>A. Levels of expression of <i>M</i>. <i>bovis</i> BCG lipoprotein genes in various <i>M</i>. <i>smegmatis</i> knock-in strains. Cycle threshold values were first normalized to the housekeeping gene, <i>sigA</i>, and expressed as fold increase relative to wild-type <i>M</i>. <i>bovis</i> BCG. Each cycle difference was assumed to represent a 2-fold difference in gene expression. The data are representative of three independent experiments. B. The percentage of X4-tropic, GFP-expressing pseudovirus-infected CD4+ cells without any stimulation (Unstim) or after infection with <i>M</i>. <i>bovis</i> BCG Copenhagen (BCG), <i>M</i>. <i>smegmatis</i> MC<sup>2</sup>155 containing empty vector (M. smeg), or <i>M</i>. <i>smegmatis</i> strains overexpressing BCG lipoproteins PhoS1, LprQ, LprD, LprI, LprH, LprF, LppX, LprP, or MPT83. C. The TLR2 agonist zymosan (Zym), TLR2 and TLR4 antagonist OxPAPC, or the TLR4-specific antagonist CLI-095 was added to PBMC prior to HIV infection. Results represent combined flow cytometric analysis of CD4+ cells after infection with an X4-tropic GFP+ pseudovirus, from three independent experiments. * p< 0.05; ** p< 0.005.</p

    Deficiency of LspA partially reverses <i>M</i>. <i>bovis</i> BCG-mediated induction of HIV infectivity of CD4+ T cells.

    No full text
    <p>The percentage of GFP+ CD4+ T cells following no stimulation (Unstim), or stimulation of PBMC with <i>M</i>. <i>bovis</i> BCG Copenhagen (BCG), <i>M</i>. <i>smegmatis</i> MC<sup>2</sup>155 containing empty vector (M. smeg), or a <i>M</i>. <i>bovis</i> BCG strain lacking lipoprotein signal peptidase A (BCGΔ<i>lspA</i>), which fails to produce mature lipoproteins. Results represent combined flow cytometric analysis of CD4+ cells after infection with an X4-tropic GFP+ pseudovirus, from 3 independent experiments. * p< 0.05</p

    DataSheet1.xls

    No full text
    <p>The development of antibiotic tolerance is believed to be a major factor in the lengthy duration of current tuberculosis therapies. In the current study, we have modeled antibiotic tolerance in vitro by exposing Mycobacterium tuberculosis to two distinct stress conditions: progressive hypoxia and nutrient starvation [phosphate-buffered saline (PBS)]. We then studied the bacterial transcriptional response using RNA-seq and employed a bioinformatics approach to identify important transcriptional regulators, which was facilitated by a novel Regulon Enrichment Test (RET). A total of 17 transcription factor (TF) regulons were enriched in the hypoxia gene set and 16 regulons were enriched in the nutrient starvation, with 12 regulons enriched in both conditions. Using the same approach to analyze previously published gene expression datasets, we found that three M. tuberculosis regulons (Rv0023, SigH, and Crp) were commonly induced in both stress conditions and were also among the regulons enriched in our data. These regulators are worthy of further study to determine their potential role in the development and maintenance of antibiotic tolerance in M. tuberculosis following stress exposure.</p

    DataSheet2.XLS

    No full text
    <p>The development of antibiotic tolerance is believed to be a major factor in the lengthy duration of current tuberculosis therapies. In the current study, we have modeled antibiotic tolerance in vitro by exposing Mycobacterium tuberculosis to two distinct stress conditions: progressive hypoxia and nutrient starvation [phosphate-buffered saline (PBS)]. We then studied the bacterial transcriptional response using RNA-seq and employed a bioinformatics approach to identify important transcriptional regulators, which was facilitated by a novel Regulon Enrichment Test (RET). A total of 17 transcription factor (TF) regulons were enriched in the hypoxia gene set and 16 regulons were enriched in the nutrient starvation, with 12 regulons enriched in both conditions. Using the same approach to analyze previously published gene expression datasets, we found that three M. tuberculosis regulons (Rv0023, SigH, and Crp) were commonly induced in both stress conditions and were also among the regulons enriched in our data. These regulators are worthy of further study to determine their potential role in the development and maintenance of antibiotic tolerance in M. tuberculosis following stress exposure.</p

    DataSheet5.XLS

    No full text
    <p>The development of antibiotic tolerance is believed to be a major factor in the lengthy duration of current tuberculosis therapies. In the current study, we have modeled antibiotic tolerance in vitro by exposing Mycobacterium tuberculosis to two distinct stress conditions: progressive hypoxia and nutrient starvation [phosphate-buffered saline (PBS)]. We then studied the bacterial transcriptional response using RNA-seq and employed a bioinformatics approach to identify important transcriptional regulators, which was facilitated by a novel Regulon Enrichment Test (RET). A total of 17 transcription factor (TF) regulons were enriched in the hypoxia gene set and 16 regulons were enriched in the nutrient starvation, with 12 regulons enriched in both conditions. Using the same approach to analyze previously published gene expression datasets, we found that three M. tuberculosis regulons (Rv0023, SigH, and Crp) were commonly induced in both stress conditions and were also among the regulons enriched in our data. These regulators are worthy of further study to determine their potential role in the development and maintenance of antibiotic tolerance in M. tuberculosis following stress exposure.</p

    DataSheet3.XLS

    No full text
    <p>The development of antibiotic tolerance is believed to be a major factor in the lengthy duration of current tuberculosis therapies. In the current study, we have modeled antibiotic tolerance in vitro by exposing Mycobacterium tuberculosis to two distinct stress conditions: progressive hypoxia and nutrient starvation [phosphate-buffered saline (PBS)]. We then studied the bacterial transcriptional response using RNA-seq and employed a bioinformatics approach to identify important transcriptional regulators, which was facilitated by a novel Regulon Enrichment Test (RET). A total of 17 transcription factor (TF) regulons were enriched in the hypoxia gene set and 16 regulons were enriched in the nutrient starvation, with 12 regulons enriched in both conditions. Using the same approach to analyze previously published gene expression datasets, we found that three M. tuberculosis regulons (Rv0023, SigH, and Crp) were commonly induced in both stress conditions and were also among the regulons enriched in our data. These regulators are worthy of further study to determine their potential role in the development and maintenance of antibiotic tolerance in M. tuberculosis following stress exposure.</p

    Complementation of transposon mutant MT0516::Tn.

    No full text
    <p>A. Diagram of expected recombination between integrating plasmid and genomic DNA. B. PCR analysis of genomic DNA. A list of relevant primers is included in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0028076#pone-0028076-t001" target="_blank">Table 1</a>. Lane 1: Molecular weight markers. Lanes 2-4: Amplification of the MT0516 gene from wild-type, MT0516::Tn, and MT0516::Tn Comp, respectively. The expected 1035-bp PCR product is present in Lanes 2 and 4 but absent in Lane 3. Lane 5: Molecular weight markers. Lanes 6-8: Amplification of the kanamycin resistance cassette from wild type, MT0516::Tn and MT0516::Tn Comp, respectively, yielding the expected 226-bp product only in Lanes 7 and 8. Lane 9: Molecular weight markers. Lanes 10-11: Amplification of the hygromycin resistance cassette from MT0516::Tn and MT0516::Tn Comp, respectively, yielding the expected 319-bp product only in Lane 11. C. Diagram of expected sizes of <i>EcoRI</i>-digested genomic fragments expected to hybridize to probe recognizing region of MT0516 coding sequence by Southern blot (D). Note that MT0516::Tn Comp is expected to have two different size fragments hybridizing to the MT0516 probe, including that found in MT0516::Tn (1.8 Kb) and a distinct fragment unique to the attB integration site (1.7 Kb). D. Southern blot detecting the presence of DNA fragments bound to the MT0516 hybridization probe. Lane 1: Molecular weight markers. Lane 2: Blank. Lanes 3-5: Wild type, MT0516::Tn, and MT:0516::Tn Comp, respectively.</p

    Protein modeling predicts that <i>M. tuberculosis</i> MT0516 is an exopolyphosphatase.

    No full text
    <p>The protein backbone ribbon structure was modeled by PHYRE <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0028076#pone.0028076-Kelley1" target="_blank">[23]</a>, showing the conserved hydrolase fold associated with exopolyphosphatases. Left-angled, top-down view of the interface canyon between domains I and II with the α helix 4 (within box) that houses the highly conserved active site E112 side chain opening into the canyon floor. The canyon walls are lined with β sheets.</p
    corecore