Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of Francisella tularensis mutants to identify gene required for Francisella virulence


ABSTRACT: pool 16 and pool 29 arrays represent the Francisella transposon insertion mutants isolated from the spleens of two separate groups of 5 intraperitoneally infected mice. skin arrays represent the Francisella transposon insertion mutants isolated from the skin of 5 individual, subcutaneously infected mice. input arrays represent Francisella transposon insertion mutants surviving after growth in TSB broth. Detailed Materials and Methods from Weiss et al, PNAS, 2007, In vivo negative selection screen identifies genes required for Francisella virulence: Mice and Francisella infections Female C57BL/6 mice (Jackson) between 7 and 10 wk of age were kept under specific pathogen-free conditions in filter-top cages at Stanford University and provided with sterile water and food ad libitum. Experimental studies were in accordance with IACUC Guidelines. Mice were inoculated with 2x105 cfu subcutaneously in 50 ul sterile PBS or intraperitoneally (IP) in 500 ul. Spleens were harvested 2 days post-infection, homogenized, and dilutions were plated on supplemented MH agar plates containing kanamycin (infections with library) or MH plates with and without the appropriate antibiotic (competition experiments). Plates were grown overnight at 37oC, 5% CO2 and colonies were enumerated. After infections with the library, approximately 10^5 cfu were collected in sterile PBS for isolation of DNA. Competitive Index (CI) values were calculated using the formula CI = (mutant cfu in output/wild-type cfu in output)/(mutant cfu in input/wild-type cfu in input). Microarrays Genomic DNA was purified from bacterial pellets by phenol-chloroform extraction. Each DNA sample was divided in two and digested separately with BfaI or RsaI (NEB). The digested DNA was used as the template for in vitro transcription with the AmpliScribe T7-Flash transcription kit (Epicentre) following the manufacturer's protocol, except that 2 ?g of digested DNA was used, and the reaction was allowed to proceed for 12 to 16 h. Purified RNA was used in a RT reaction using Superscript II(?) (Invitrogen) and random hexamers as primers. cDNA was labeled with amino-allyl dUTP using the Klenow (exo-) enzyme. The ssDNA containing amino-allyl dUTP from the mouse output or the library input pools were labeled with Cy3 and Cy5, respectively, prior to hybridization to our Francisella microarray as described previously. Data analysis Normalized data were downloaded from the Stanford Microarray Database according to the median log2 Cy5/Cy3 (logRAT2N). Filters for feature quality, including a Cy3 net median intensity of 150 and regression correlation of >0.6, were applied. To compare data from separate IP infection experiments, each experimental sample was zero-transformed to the input/input control. Features (spots) missing values for 40% of the arrays were removed from the data set. The data sets were analyzed with the SAM program, using the two-class analysis option to identify features that consistently deviated from the input and samples across all of the arrays with a false discovery rate of 1%.

ORGANISM(S): Francisella tularensis

SUBMITTER: Janos Demeter 

PROVIDER: E-SMDB-3978 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

In vivo negative selection screen identifies genes required for Francisella virulence.

Weiss David S DS   Brotcke Anna A   Henry Thomas T   Margolis Jeffrey J JJ   Chan Kaman K   Monack Denise M DM  

Proceedings of the National Academy of Sciences of the United States of America 20070326 14


Francisella tularensis subverts the immune system to rapidly grow within mammalian hosts, often causing tularemia, a fatal disease. This pathogen targets the cytosol of macrophages where it replicates by using the genes encoded in the Francisella pathogenicity island. However, the bacteria are recognized in the cytosol by the host's ASC/caspase-1 pathway, which is essential for host defense, and leads to macrophage cell death and proinflammatory cytokine production. We used a microarray-based ne  ...[more]

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