Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
|
PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
|
PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
|
PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
|
PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
|
PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
|
PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We propose a novel statistical model to augment protein-DNA-binding data with gene expression and DNA sequence data when available. We specify a hierarchical Bayes model and use Markov chain Monte Carlo simulations to draw inferences. Both simulation studies and an analysis of an experimental data s...
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PMID: 20049751
PDF is available here.
Abstract
We discuss the recent developments in our understanding of this important class of regulators....
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PMID: 21151646
PDF is available here.
Abstract
The present study revealed that Lrp, a leucine-responsive regulatory protein, is involved in the regulation of cadBA transcription through activation of PcadBA. The influence of Lrp on PcadBA was mediated by CadC, and thereby, CadC was able to compensate for the lack of Lrp in the activation of Pcad...
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PMID: 19047817
PDF is available here.
Abstract
We show that Lrp, in the presence and in the absence of PapI and nonspecific DNA, specifically protects pap regulatory GATC sites from Dam methylation when allowed to compete with Dam for assembly on unmethylated and hemimethylated pap DNA. The methylation protection is dependent upon the concentrat...
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PMID: 18706913
PDF is available here.
Abstract
We constructed two sets of promoter variants in which a synthetic DNA-bending module was fused at defined distances and angular orientations with respect to the transcription start sites. The distance between the synthetic binding site centre and the transcription start site of the different constru...
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PMID: 18757788
PDF is available here.
Abstract
We show that acdS is in the vicinity of acdR, a homolog to leucine-responsive regulator lrp, in A. lipoferum 4B and most other acdS+ Proteobacteria. Unlike in Beta- and Gammaproteobacteria, acdS (and acdR) is preferentially located on symbiotic islands and plasmids in Alphaproteobacteria. In A. lipo...
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PMID: 18400007
PDF is available here.
Abstract
We have cooverexpressed CbpA with CbpM in a DeltacbpAM DeltadnaJ strain and examined the resulting phenotypes. Under these conditions, sufficient free CbpA activity was present to support growth at low temperatures, but not at high temperatures. Defects in cell division and in lambda replication wer...
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PMID: 18502857
PDF is available here.
Abstract
I footprinting identified regions that were protected by the protein in vitro as well as bases that became hypersensitive to DNase I treatment following Lrp binding. A clear pattern of periodic hypersensitivity was detected between positions -130 and +15 that was consistent with wrapping of the DNA...
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PMID: 18599829
PDF is available here.
Abstract
We have studied the underlying mechanisms responsible for the growth phase-dependent differences in 6S RNA concentration. To this aim, we have analyzed the effects of the typical bacterial growth phase and stress regulators FIS, H-NS, LRP and StpA on 6S RNA expression. Measurements of 6S RNA accumul...
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PMID: 18177266
PDF is available here.
Abstract
One of the major mechanisms that plant growth-promoting bacteria use to facilitate plant growth is through the lowering of plant ethylene levels by the bacterial enzyme 1-aminocyclopropane-1-carboxylate (ACC) deaminase. Many of the bacterial ACC deaminase genes (acdS) that have been examined to date...
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PMID: 18388982
PDF is available here.
Abstract
We found that, in wild-type cells grown in LB medium at pH 7.0 or pH 5.5, repression of hdeAB by MarA occurred only in stationary phase and was reduced in the absence of H-NS and GadE, the main regulators of hdeAB. Moreover, repression of hdeAB by MarA was greater in the absence of GadX or Lrp in ex...
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PMID: 18083817
PDF is available here.
Abstract
Heterologous Lrp regulated gltB, livK and lrp transcriptional fusions in an E. coli background in the same general way as the native Lrp, though with significant differences in extent. Microarray analysis of these strains revealed that the heterologous Lrp proteins significantly influence only about...
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PMID: 18405378
PDF is available here.
Abstract
The bacterial leucine-responsive regulatory protein (Lrp) is a global transcriptional regulator that controls the expression of many genes during starvation and the transition to stationary phase. The Mycobacterium tuberculosis gene Rv3291c encodes a 150-amino acid protein (designated here as Mtb Lr...
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PMID: 18042675
PDF is available here.
Abstract
We discovered that a knockout mutation in lrp, the gene that codes for the leucine-responsive regulatory protein (Lrp), inhibited fim transcription. The loss of fim gene expression was accompanied by a corresponding loss of the mannose-sensitive hemagglutination that is a characteristic of type 1 fi...
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PMID: 17981960
PDF is available here.
Abstract
The Lrp/AsnC family of transcriptional regulators, also known as feast/famine transcriptional regulators, are widely distributed among bacteria and archaea. This family of proteins are likely to be involved in cellular metabolism, with exogenous amino acids functioning as effectors. Here, the crysta...
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PMID: 18007052
PDF is available here.
Abstract
We show that the bacterial leucine-responsive regulatory protein (Lrp) does not follow this trend and has a approximately 20-400-fold binding discrimination between specific and non-specific DNA sequences. We suggest that the dual function of Lrp to regulate genes and to organize DNA utilizes this u...
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PMID: 17498742
PDF is available here.
Abstract
These results suggest that an industrially competitive strain can be efficiently developed by metabolic engineering based on combined rational modification, transcriptome profiling, and systems-level in silico analysis....
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PMID: 17463081
PDF is available here.
Abstract
We show that NMB0573 binds to l-leucine and l-methionine and have solved the structure of the protein with and without bound amino acids. This has shown, for the first time that amino acid binding does not induce significant conformational changes in the structure of an AsnC/Lrp regulator although i...
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PMID: 17374605
PDF is available here.
Abstract
We examine the role of Lrp, the leucine-responsive regulatory protein, in regulating both of these lifestyles. lrp mutants have attenuated virulence towards Manduca sexta insects and are defective in suppression of both cellular and humoral insect immunity. In addition, an lrp mutant is deficient in...
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PMID: 17223926
PDF is available here.
Abstract
The structure of Escherichia coli leucine-responsive regulatory protein (Lrp) co-crystallized with a short duplex oligodeoxynucleotide reveals a novel quaternary assembly in which the protein octamer forms an open, linear array of four dimers. In contrast, structures of the Lrp homologs LrpA, LrpC a...
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PMID: 17223133
PDF is available here.
Abstract
We study details of the LRP-rDNA interaction by gel retardation and high-resolution footprinting techniques. We show that a second regulator for rRNA transcription, H-NS, facilitates the formation of a higher-order LRP-nucleoprotein complex, probably acting transiently as a DNA chaperone. The macrom...
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PMID: 17196617
PDF is available here.
Abstract
We have previously shown that the limitation of branched-chain amino acids (BCAAs) is a cue that induces the expression of a subset of A. pleuropneumoniae genes identified as specifically induced during infection of the natural host animal by using an in vivo expression technology screen. Leucine-re...
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PMID: 17060463
PDF is available here.
Abstract
Crp and a more local regulator, ArgR, directly control gltBDF transcription, both acting negatively. Crp-cAMP binds a sequence centered at -65.5 relative to the transcript start. Mutation of conserved nucleotides in the Crp binding site abolishes the Crp-dependent repression. ArgR also binds to the...
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PMID: 17233899
PDF is available here.
Abstract
To determine the sequence specificity of dimeric Ss-LrpB, a high resolution contact map was constructed and a saturation mutagenesis conducted on one half of the palindromic consensus box. Premodification binding interference indicates that Ss-LrpB establishes most of its tightest contacts with a si...
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PMID: 17178749
PDF is available here.
Abstract
Site-specific recombinases of the integrase family usually require cofactors to impart directionality in the recombination reactions that they catalyze. The FimB integrase inverts the Escherichia coli fim switch (fimS) in the on-to-off and off-to-on directions with approximately equal efficiency. In...
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PMID: 16855224
PDF is available here.
Abstract
We have used atomic force microscopy to analyze the architecture of Ss-LrpB.DNA complexes with a different stoichiometry formed with the wild type operator and with an operator mutant. Binding of dimeric Ss-LrpB to all three target sites is accompanied by the formation of globular complexes, in whic...
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PMID: 16522627
PDF is available here.
Abstract
Solid/solution partition coefficient (Kd) and speciation of soil heavy metals can be used for predicting their environmental risks. The Kd values and solution speciation of soil Cu, Cd and Zn were analyzed in 40 samples of contaminated agricultural soils around Jiuhua copper mine in eastern Nanjing...
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PMID: 16260085
PDF is available here.
Abstract
Feast/famine regulatory proteins comprise a diverse family of transcription factors, which have been referred to in various individual identifications, including Escherichia coli leucine-responsive regulatory protein and asparagine synthase C gene product. A full length feast/famine regulatory prote...
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PMID: 16438681
PDF is available here.