Promoter recognition and activation by the global response regulator CbrB in Pseudomonas aeruginosa

In Pseudomonas aeruginosa, the CbrA/CbrB two-component system is instrumental in the maintenance of the carbon-nitrogen balance and for growth on carbon sources that are energetically less favorable than the preferred dicarboxylate substrates. The CbrA/CbrB system drives the expression of the small RNA CrcZ, which antagonizes the repressing effects of the catabolite repression control protein Crc, an RNA-binding protein. Dicarboxylates appear to cause carbon catabolite repression by inhibiting the activity of the CbrA/CbrB system, resulting in reduced crcZ expression. Here we have identified a conserved palindromic nucleotide sequence that is present in upstream activating sequences (UASs) of promoters under positive control by CbrB and σ(54) RNA polymerase, especially in the UAS of the crcZ promoter. Evidence for recognition of this palindromic sequence by CbrB was obtained in vivo from mutational analysis of the crcZ promoter and in vitro from electrophoretic mobility shift assays using crcZ promoter fragments and purified CbrB protein truncated at the N terminus. Integration host factor (IHF) was required for crcZ expression. CbrB also activated the lipA (lipase) promoter, albeit less effectively, apparently by interacting with a similar but less conserved palindromic sequence in the UAS of lipA. As expected, succinate caused CbrB-dependent catabolite repression of the lipA promoter. Based on these results and previously published data, a consensus CbrB recognition sequence is proposed. This sequence has similarity to the consensus NtrC recognition sequence, which is relevant for nitrogen control.     

The molecular basis of glycogen storage disease type 1a: structure and function analysis of mutations in glucose-6-phosphatase.

Glycogen storage disease type 1a is caused by a deficiency in glucose-6-phosphatase (G6Pase), a nine-helical endoplasmic reticulum transmembrane protein required for maintenance of glucose homeostasis. To date, 75 G6Pase mutations have been identified, including 48 mutations resulting in single-amino acid substitutions. However, only 19 missense mutations have been functionally characterized. Here, we report the results of structure and function studies of the 48 missense mutations and the DeltaF327 codon deletion mutation, grouped as active site, helical, and nonhelical mutations. The 5 active site mutations and 22 of the 31 helical mutations completely abolished G6Pase activity, but only 5 of the 13 nonhelical mutants were devoid of activity. Whereas the active site and nonhelical mutants supported the synthesis of G6Pase protein in a manner similar to that of the wild-type enzyme, immunoblot analysis showed that the majority (64.5%) of helical mutations destabilized G6Pase. Furthermore, we show that degradation of both wild-type and mutant G6Pase is inhibited by lactacystin, a potent proteasome inhibitor. Taken together, we have generated a data base of residual G6Pase activity retained by G6Pase mutants, established the critical roles of transmembrane helices in the stability and activity of this phosphatase, and shown that G6Pase is a substrate for proteasome-mediated degradation.     

Classification and Prediction of β-Turn Types

Although a β-turn consists of only four amino acids, it assumes many different types in proteins. Is this basically dependent on the tetrapeptide sequence alone or is it due to a variety of interactions with the other part of a protein? To answer this question, a residue-coupled model is proposed that can reflect the sequence-coupling effect for a tetrapeptide in not only a β-turn or non-β-turn, but also different types of a β-turn. The predicted results by the model for 6022 tetrapeptides indicate that the rates of correct prediction for β-turn types I, I′, II, II′, VI, and VIII and non-β-turns are 68.54%, 93.60%, 85.19%, 97.75%, 100%, 88.75%, and 61.02%, respectively. Each of these seven rates is significantly higher than $\frac{1}{7}$ = 14.29%, the completely randomized rate, implying that the formation of different β-turn types or non-β-turns is considerably correlated with the sequences of a tetrapeptide.     

Purification and Characterization of a Bovine Cerebral Cortex Cell Surface Sialoglycopeptide that Inhibits Cell Proliferation and Metabolism

A sialoglycopeptide from bovine cerebral cortex cells was purified to apparent homogeneity by a procedure that included chloroform/methanol extraction, diethylaminoethyl ion exchange chromatography, wheat germ agglutinin affinity chromatography, size-exclusion HPLC, and hydrophobic interaction chromatography. The cell surface inhibitor had a molecular weight of approximately 18,000, no subunit composition was detectable on reduction and polyacrylamide gel electrophoresis analysis, and the glycopeptide apparently contained sialic acid, as illustrated by its ability to bind to Limulus polyhemus lectin. Deglycosylation of the molecule, however, did not reduce its protein synthesis inhibitory activity. As little as 20 ng of the sialoglycopeptide was capable of inhibiting protein synthesis in a wide variety of fibroblast cell lines but not in transformed cells. Mice immunized with the sialoglycopeptide produced antibodies that, when bound to protein A-agarose gel, removed the inhibitory activity from solution. The antibodies were used to identify a single isoelectric focused band and to establish the pI of 3.0 for the molecule.     

His-404 and His-405 are essential for enzyme catalytic activities of a bacterial indole-3-acetyl-L-aspartic acid hydrolase

Bacterial indole-3-acetyl-l-aspartic acid (IAA-Asp) hydrolase has shown very high substrate specificity compared with similar IAA-amino acid hydrolase enzymes found in Arabidopsis thaliana. The IAA-Asp hydrolase also exhibits, relative to the Arabidopsis thaliana-derived enzymes, a very high Vmax (fast reaction rate) and a higher Km (lower substrate affinity). These two characteristics indicate that there are fundamental differences in the catalytic activity between this bacterial enzyme and the Arabidopsis enzymes. By employing a computer simulation approach, a catalytic residue, His-385, from a non-sequence-related zinc-dependent exopeptidase of Pseudomonas was found to structurally match His-405 of IAA-Asp hydrolase. The His-405 residue is conserved in all related sequences of bacteria and Arabidopsis. Point mutation experiments of this His-405 to seven different amino acids resulted in complete elimination of enzyme activity. However, point mutation on the neighboring His-404 to eight other residues resulted in reduction, to various degrees, of enzyme activity. Amino acid substitutions for His-404 also showed that this residue influenced the minor activity of the IAA-Asp hydrolase for the substrates IAA-Gly, IAA-Ala, IAA-Ser, IAA-Glu and IAA-Asn. These results show the value and potential of structural modeling for predicting target residues for further study and for directing bioengineering of enzyme structure and function.     

Transforming growth factor-β1 suppresses hepatitis B virus replication by the reduction of hepatocyte nuclear factor-4α expression

Several studies have demonstrated that cytokine-mediated noncytopathic suppression of hepatitis B virus (HBV) replication may provide an alternative therapeutic strategy for the treatment of chronic hepatitis B infection. In our previous study, we showed that transforming growth factor-beta1 (TGF-β1) could effectively suppress HBV replication at physiological concentrations. Here, we provide more evidence that TGF-β1 specifically diminishes HBV core promoter activity, which subsequently results in a reduction in the level of viral pregenomic RNA (pgRNA), core protein (HBc), nucleocapsid, and consequently suppresses HBV replication. The hepatocyte nuclear factor 4alpha (HNF-4α) binding element(s) within the HBV core promoter region was characterized to be responsive for the inhibitory effect of TGF-β1 on HBV regulation. Furthermore, we found that TGF-β1 treatment significantly repressed HNF-4α expression at both mRNA and protein levels. We demonstrated that RNAi-mediated depletion of HNF-4α was sufficient to reduce HBc synthesis as TGF-β1 did. Prevention of HNF-4α degradation by treating with proteasome inhibitor MG132 also prevented the inhibitory effect of TGF-β1. Finally, we confirmed that HBV replication could be rescued by ectopic expression of HNF-4α in TGF-β1-treated cells. Our data clarify the mechanism by which TGF-β1 suppresses HBV replication, primarily through modulating the expression of HNF-4α gene.     

Using functional domain composition and support vector machines for prediction of protein subcellular location

Proteins are generally classified into the following 12 subcellular locations: 1) chloroplast, 2) cytoplasm, 3) cytoskeleton, 4) endoplasmic reticulum, 5) extracellular, 6) Golgi apparatus, 7) lysosome, 8) mitochondria, 9) nucleus, 10) peroxisome, 11) plasma membrane, and 12) vacuole. Because the function of a protein is closely correlated with its subcellular location, with the rapid increase in new protein sequences entering into databanks, it is vitally important for both basic research and pharmaceutical industry to establish a high throughput tool for predicting protein subcellular location. In this paper, a new concept, the so-called "functional domain composition" is introduced. Based on the novel concept, the representation for a protein can be defined as a vector in a high-dimensional space, where each of the clustered functional domains derived from the protein universe serves as a vector base. With such a novel representation for a protein, the support vector machine (SVM) algorithm is introduced for predicting protein subcellular location. High success rates are obtained by the self-consistency test, jackknife test, and independent dataset test, respectively. The current approach not only can play an important complementary role to the powerful covariant discriminant algorithm based on the pseudo amino acid composition representation (Chou, K. C. (2001) Proteins Struct. Funct. Genet. 43, 246-255; Correction (2001) Proteins Struct. Funct. Genet. 44, 60), but also may greatly stimulate the development of this area.     

Biochemical and genetic engineering strategies to enhance hydrogen production in photosynthetic algae and cyanobacteria

As an energy carrier, hydrogen gas is a promising substitute to carbonaceous fuels owing to its superb conversion efficiency, non-polluting nature, and high energy content. At present, hydrogen is predominately synthesized via chemical reformation of fossil fuels. While various biological methods have been extensively explored, none of them is justified as economically feasible. A sustainable platform for biological production of hydrogen will certainly impact the biofuel market. Among a selection of biological systems, algae and cyanobacteria have garnered major interests as potential cell factories for hydrogen production. In conjunction with photosynthesis, these organisms utilize inexpensive inorganic substrates and solar energy for simultaneous biosynthesis and hydrogen evolution. However, the hydrogen yield associated with these organisms remains far too low to compete with the existing chemical systems. This article reviews recent advances of biochemical, bioprocess, and genetic engineering strategies in circumventing technological limitations to hopefully improve the applicative potential of these photosynthetic hydrogen production systems.     

兴安薄荷挥发油的成分

兴安薄荷（Mentha dahurica Fisch.ex Benth.）为唇形科薄荷属（Mentha L.）多年生草本植物,产于我国黑龙江、吉林、内蒙古东北部。俄罗斯远东地区以及日本北方也有分布。在我国东北有作中药薄荷入药的。其化学成分研究甚少,仅俄国Pulatova报道其含有香豆素类成分。为开发利用我国薄荷植物资源,作者对全国薄荷属植物进行了野外调查,并对其资源、生物学性状、孢粉学和化学等进行了较系统的研究,现仅就兴安薄荷挥发油中化学成分分析结果作一报道。