Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Streptococcus mutans UA159 vs. spx mutant strains

ABSTRACT: Transcriptional profiling to investigate the regulatory roles of SpxA and SpxB of S. mutans. RNA was extracted from four replicate samples of each strain of interest (spxA mutant, spxB mutant, spxAB double-mutant, UA159 wild type) and labeled with Cy3. For each replicate, labeled RNA was hybridized to slides along with Cy5-labeled reference RNA, extracted from S. mutans UA159 cells grown to mid-log.

ORGANISM(S): Streptococcus mutans

SUBMITTER: Jacqueline Abranches

PROVIDER: E-GEOD-19656 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Two Spx proteins modulate stress tolerance, survival, and virulence in Streptococcus mutans.

Kajfasz Jessica K JK Rivera-Ramos Isamar I Abranches Jacqueline J Martinez Alaina R AR Rosalen Pedro L PL Derr Adam M AM Quivey Robert G RG Lemos José A JA

Journal of bacteriology 20100316 10

Previous work suggested that the underlying mechanisms by which the Streptococcus mutans ClpXP protease affects virulence traits are associated with accumulation of two orthologues of the Spx regulator, named SpxA and SpxB. Here, a thorough characterization of strains lacking the spx genes (Delta spxA, Delta spxB, and Delta spxA Delta spxB) revealed that Spx, indeed, participates in the regulation of processes associated with S. mutans pathogenesis. The Delta spxA strain displayed impaired abili ...[more]

PMID: 20233935

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Project description:In this report, codY mutant strains were constructed and used to demonstrate the relationship of (p)ppGpp synthesized by RelP and RelQ with the activation of CodY. In addition, because CodY has not been studied in S. mutans, we used microarrays to demonstrate that this protein function as a global regulator of gene expression in S. mutans. Keywords: stress response, gene knockout analysis For microarray analysis, cells were grown in complete FMC to an optical density at 600 nm (OD600) of 0.3 collected by centrifugation, quick frozen in a dry-ice/ethanol bath, and stored at - 80â??C for RNA isolation. RNA was isolated from exponential phase (OD600 0.3), as described previously. All samples were digested with DNase I (Ambion, Austin, TX) and purified using the RNeasy mini kit column (Qiagen, Inc., Chatsworth, CA). RNA concentrations were determined spectrophotometrically in triplicate and one Âµg of RNA was run in a formaldehyde gel to verify RNA quality. Reverse transcription (RT) reaction was performed with 10 mg of RNA following the protocol provided by TIGR with minor modifications. Transcriptome analysis was performed using the S. mutans UA159 microarrays provided by The Institute for Genomic Research (TIGR). The microarrays consisted of 1,948 70-mer oligonucleotides representing 1,960 open reading frames printed four times on the surface of each microarray slide. Additional details regarding the arrays are available at http://pfgrc.tigr.org/descriptions/S_mutans.shtml. A reference RNA prepared from a large-scale culture of S. mutans UA159 cells that had been grown in BHI broth to an OD600 = 0.5 was used in every experiment. cDNA labeling was performed according to TIGR protocols with minor modifications as described elsewhere. Four cDNA samples originating from four independent cultures of UA159 and JLcodY strains were hybridized to the arrays along with the reference cDNA, generating a total of 16 slides. Hybridizations were performed in a Maui hybridization chamber (BioMicro Systems, Salt Lake City, UT). Additional details regarding array protocols are available at http://pfgrc.tigr.org/protocols/protocols.shtml. Data from all individual experiments were analyzed using Spotfinder software and normalized using Midas according to TIGR specifications (http://www.tigr.org/software/). Statistical analysis was carried out using BRB Arrays Tools (http://linus.nci.nih.gov/BRB-ArrayTools.html) with a P-value of 0.001.

Project description:CcpA is a global regulator of transcription in Gram-positive bacteria that controls gene expression in response to carbohydrate availability. Using the fructan hydrolase (fruA) gene of S. mutans as a model, we demonstrate that CcpA does indeed play a major role in carbohydrate catabolite repression. Using DNA microarrays, the expression of at least 170 genes differed in CcpA-deficient cells compared to the parental strains when cells are grown in the presence of glucose, but only 90 genes showed altered expression when cells were cultivated in the poorly-repressing substrate galactose. Interestingly, 90 genes were differently expressed in wild-type S. mutans in response to cultivation in glucose versus galactose, but the expression of over 500 genes was altered when growth in glucose and galactose were compared in the CcpA-deficient strain. The results support a major role for CcpA in regulation of gene expression, but reveal that a substantial CcpA-independent network exists in S. mutans to regulate gene expression in response to carbohydrate source. A reference RNA that had been isolated from 2 liters of UA159 cells grown in BHI broth to OD600 = 0.5 was used in every experiment. Our experimental conditions consisted of S. mutans UA159 and TW1 grown in TV supplemented with 0.5% glucose or 0.5% galactose and collected at the mid-exponential phase of growth (OD600 = 0.5). All RNAs were purified as described above and used to generate cDNA according to the protocol provided by TIGR with the following minor modifications. The amount of RNA in each reaction was increased to 10 ug and the molar ratio of dTTP:aa-dUTP was increased to 1:2. SuperscriptIII Reverse transcriptase (Invitrogen, Gaithersburg, MD) was used to increase cDNA yields. Purified cDNAs were coupled with indocarbocyanine (Cy3)-dUTP, while reference cDNA was coupled with indodicarbocyanine (Cy5)-dUTP (Amersham Biosciences, Piscataway, NJ). Four individual Cy3-labeled cDNA samples originating from four different cultures of UA159 or TW1, grown in each experimental condition, were hybridized to the arrays along with Cy5-labeled reference cDNA, generating a total of 16 slides. Hybridizations were carried out in a Maui 4-chamber hybridization system (BioMicro Systems, Salt Lake City, Utah) for 17 h at 42ºC. The slides were then washed according to TIGR protocols and scanned using a GenePix Scanner (Axon Instruments Inc., Union City, CA). After the slides were scanned, single-channel images were loaded into TIGR Spotfinder software and overlayed. A spot grid was created according to TIGR specifications and manually adjusted to fit all spots within the grid, then the intensity values of each spot were measured. Data was normalized using TIGR Microarray data analysis software (MIDAS), by using LOWESS and Iterative Log Mean Centering with default settings, followed by In-Slide Replicate Analysis. Statistical analysis was carried out using BRB Array Tools with a cutoff P value of 0.001 for class prediction and class comparison.

Dataset Information

Streptococcus mutans UA159 vs. spx mutant strains

Publications

Two Spx proteins modulate stress tolerance, survival, and virulence in Streptococcus mutans.

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