16 research outputs found
Interface-Confined FeO<sub><i>x</i></sub> Adlayers Induced by Metal Support Interaction in Pt/FeO<sub><i>x</i></sub> Catalysts
Active
oxide nanolayers can be stabilized on noble metal surfaces
through interface confinement effect in oxide/metal inverse catalysts.
Here, using normal metal/oxide catalysts we show that Fe oxide nanolayers
can be confined on Pt nanoparticles (NPs) when treating a Pt/FeO<sub><i>x</i></sub> catalyst in Ar or H<sub>2</sub>/O<sub>2</sub> atmospheres at elevated temperatures. Pt NPs partially covered with
Fe oxide nanopatches are more active in CO oxidation than bare Pt
NPs, while those with fully encapsulated Fe oxide shells in strong
metalāsupport interaction (SMSI) state show much lower activity.
Characterization results indicate that three steps play an important
role in the formation of Fe oxide overlayers: Pt-aided reduction of
interfacial Fe oxide, Pt alloying of interfacial Fe atoms, and surface
segregation of alloyed Fe atoms onto surface of Pt NPs. Active surface
oxides in so-called supportāmetal interface confinement (SMIC)
state and fully encapsulated oxide layers in the SMSI state can be
sequentially produced which depend on the treatment conditions
Interface-Confined FeO<sub><i>x</i></sub> Adlayers Induced by Metal Support Interaction in Pt/FeO<sub><i>x</i></sub> Catalysts
Active
oxide nanolayers can be stabilized on noble metal surfaces
through interface confinement effect in oxide/metal inverse catalysts.
Here, using normal metal/oxide catalysts we show that Fe oxide nanolayers
can be confined on Pt nanoparticles (NPs) when treating a Pt/FeO<sub><i>x</i></sub> catalyst in Ar or H<sub>2</sub>/O<sub>2</sub> atmospheres at elevated temperatures. Pt NPs partially covered with
Fe oxide nanopatches are more active in CO oxidation than bare Pt
NPs, while those with fully encapsulated Fe oxide shells in strong
metalāsupport interaction (SMSI) state show much lower activity.
Characterization results indicate that three steps play an important
role in the formation of Fe oxide overlayers: Pt-aided reduction of
interfacial Fe oxide, Pt alloying of interfacial Fe atoms, and surface
segregation of alloyed Fe atoms onto surface of Pt NPs. Active surface
oxides in so-called supportāmetal interface confinement (SMIC)
state and fully encapsulated oxide layers in the SMSI state can be
sequentially produced which depend on the treatment conditions
Summary of activity of compounds in inhibiting Stat3 binding to pY peptide ligand in a surface plasmon resonance binding (SPR) assay, in inhibiting IL-6-mediated Stat3 phosphorylation (pStat3) and in inhibiting IL-6-mediated Stat3 nuclear translocation in a high-throughput fluorescence microscopy (HTFM) assay.
1<p>Data presented are IC<sub>50</sub> values (ĀµM) obtained using results summarized in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004783#pone-0004783-g001" target="_blank">Figures 1 (SPR)</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004783#pone-0004783-g002" target="_blank">Figure 2 (pStat3)</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004783#pone-0004783-g004" target="_blank">Figure 4 (HTFM)</a>.</p
Effect of compounds on ligand-mediated Stat3 and Stat1 phosphorylation.
<p>HepG2 cells were pretreated with DMSO alone or DMSO containing Cpd3 (panel A), Cpd188 (panel B), Cpd30 (panel C), Cpd3-2 (panel D), Cpd3-7 (panel E) or Cpd30-12 (panel F) at the indicated concentration for 60 min. Cells were then stimulated with IL-6 (30 ng/ml) for 30 min. Protein extracts of cells were separated by SDS-PAGE, blotted and developed serially with antibodies to pStat3, total Stat3 and Ī²-actin. Blots were stripped between each antibody probing. Band intensities were quantified by densitometry. The value of each pStat3 band was divided by its corresponding total Stat3 band intensity; the results were normalized to the DMSO-treated control value. This value was plotted as a function of the log compound concentration. The best-fitting curve was determined using 4-Parameter Logistic Model/Dose Response/XLfit 4.2, IDBS software and was used to calculate the IC<sub>50</sub> value (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004783#pone-0004783-t001" target="_blank">Table 1</a>). Each panel is representative of 3 or more experiments. In panel G, HepG2 cells were pretreated with DMSO alone or DMSO containing each of the compounds at a concentration of 300 ĀµM for 60 min. Cells were then stimulated with IFN-Ī³ (30 ng/ml) for 30 min. Protein extracts of cells were separated by SDS-PAGE and immunoblotted serially with antibodies to pStat1, total Stat1 and Ī²-actin. Blots were stripped between each immunoblotting. The results shown are representative of 2 or more experiments.</p
Computer modeling of each compound bound by the SH2 domain of Stat3 or Stat1.
<p>The 2-D structures and the results of computer docking of each compound to the Stat3 SH2 domain are shown in panels A through F. The left side of each panel shows the 2-D structure, the middle portion of each panel shows the compound binding to an electrostatic molecular surface model of the Stat3 SH2 domain in which blue represents areas of positive-charge and red represents areas of negative-charge. The right side of each panel is a closer view of this interaction with hydrogen bonds indicated by dotted lines. Stick models are used to depict critical residues in the general binding site (R609, K591, S611, E612 and S613), in the specific binding site (E638) and in the hydrophobic site (W623, Q635, V637, Y640 and Y657) with carbon, oxygen, nitrogen and hydrogen atoms represented by silver, red, blue and grey, respectively. Each compound is depicted using a ball-and-stick model with carbon, oxygen, nitrogen, sulfur, chlorine and hydrogen atoms represented by gold, red, blue, yellow and green, respectively. In panel A, the negatively charged benzoic acid moiety of Cpd3 has electrostatic interactions with the guanidinium cation group of R609 and the basic ammonium group of K591. There are double H-bonds that form between the carboxylic oxygen and the side chain terminus hydrogen of R609 and the amide hydrogen of E612 and H-bond formation between the benzoic acid carbonyl oxygen and the side chain hydroxyl hydrogen of S611. The oxygen atom of 1,4-benzodioxin forms a hydrogen bond with the amide hydrogen of E638. In addition, the double ring group of Cpd3 has hydrophobic interactions to the hydrophobic binding site, which consists of W623, Q635, V637, Y640, and Y657. In panel B, the carboxylic terminus of the benzoic acid moiety of Cpd30 has electrostatic interactions with the to guanidinium group of R609. There are two hydrogen bonds that form between the terminal hydrogen of R609 and carboxylic oxygen of Cpd30 and between the terminal hydrogen of S613 and carbonyl oxygen of Cpd30. In addition, the thiazolidin moiety of Cpd30 has hydrophobic interactions with the hydrophobic binding site. In panel C, the (carboxymethyl) thio moiety of Cpd188 has electrostatic interactions with R609 and K591. The terminal oxygen of the (carboxymethyl) thio group of Cpd188 forms three H-bonds: 1) with the guanidinium hydrogen of R609, 2) with the backbone amide hydrogen of E612 and 3) with the hydroxyl-hydrogen of S611. There is an H-bond formation between the hydroxyl-oxygen of the benzoic acid group of Cpd188 and the amide-hydrogen of E638. In addition, the benzoic acid group interacts with the hydrophobic binding site, particularly V637. In panel D, the benzoic acid group of Cpd3-2 has electrostatic interactions with R609 and K591. There are two H bonds between the carboxylic oxygen of the benzoic acid group and guanidinium hydrogen of R609 and between the carbonyl oxygen of the benzoic acid group and the hydroxyl hydrogen of S611. In addition, the 1,3-dihydro-2H-inden-2-ylidene group of Cpd30 has hydrophobic interactions with the hydrophobic binding site. In panel E, H-bond formation occurs between the carbonyl-oxygen of the benzoate moiety at the double-ring end of Cpd3-7 and the side chain hydroxyl hydrogen of S611 and the amide hydrogen of S613. H-bond formation also occurs the between the hydroxyl oxygen of Cpd3-7 and the guanidinium hydrogen of R609 and a hydrogen within the ammonium terminus of K591. In addition, the single ring group of Cpd3-7 has hydrophobic interactions with the hydrophobic binding site. In panel F, there are electrostatic interactions between the benzoic acid group of Cpd30-12 and R609 and K591. H-bond formation occurs between the carbonyl-oxygen of Cpd30-12 and the guanidinium-hydrogen of R609, between the carboxyl-oxygen of Cpd30-12 and the hydroxyl-hydrogen of S611 and between the furyl oxygen of Cpd30-12 and hydrogen within the ammonium terminus of K591. Panel G shows the sequence alignment of residues 585 to 688 of Stat3 and residues 578 to 682 of Stat1 each containing their respective SH2 domains. Residues K591, R609, S611, E612 and S613 that bind the pY residue are indicated in blue. Residue E638 that binds to the +3 residue is indicated in green. Residues W623, Q635, V637, Y640 and Y657 comprising the hydrophobic binding site are indicated in orange; the region within Stat3 and Stat1 that contains the hydrophobic binding site is boxed. Residues within Loop<sub>Ī²CāĪ²D</sub> and Loop<sub>Ī±CāĪ±D</sub> of Stat3 are each underlined. Residues identical between Stat3 and Stat1 are indicated by a dot. Panel H shows an overlay of tube-and-ribbon models of the SH2 domains of Stat3 (green) and Stat1 (gray). Residues within the hydrophobic binding surface of each are shown as stick models and Loop<sub>Ī²CāĪ²D</sub> and Loop<sub>Ī±BāĪ±C</sub> are indicated. The van der Waals energy of each compound bound to the Stat1 SH2 domain or the Stat3 SH2 domain was calculated, normalized to the value for Stat1 and shown in panel I.</p
Inhibition of Stat3 binding to immobilized phosphopeptide ligand by compounds.
<p>Binding of recombinant Stat3 (500 nM) to a BiaCore sensor chip coated with a phosphododecapeptide based on the amino acid sequence surrounding Y1068 within the EGFR was measured in real time by SPR in the absence (0 ĀµM) or presence of increasing concentrations (0.1 to 1,000 ĀµM) of Cpd3 (panel A), Cpd30 (panel B), Cpd188 (panel C), Cpd3-2 (panel D), Cpd3-7 (panel E) and Cpd30-12 (panel F). Data shown are response units as a function of time in seconds and are representative of 2 or more experiments. The equilibrium binding levels obtained in the absence or presence of compound were normalized (response obtained in the presence of compound Ć· the response obtained in the absence of compound Ć100) and plotted against the log concentration (nM) of the compound (panel G). The experimental points for each compound fit to a competitive binding curve that uses a four-parameter logistic equation (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004783#s2" target="_blank">Methods</a> for details). These curves were used to calculate the IC<sub>50</sub> value for each compound (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004783#pone-0004783-t002" target="_blank">Table 2</a>).</p
Summary of activity of compounds that are selective for Stat3 in inducing apoptosis of breast cancer cell lines.
1<p>CAM, camptothecin.</p>2<p>Data presented are EC<sub>50</sub> values (ĀµM) calculated from results summarized in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004783#pone-0004783-g005" target="_blank">Figure 5</a>.</p
Discovery of Potent and Selective Agonists of Ī“ Opioid Receptor by Revisiting the āMessage-Addressā Concept
The classic āmessage-addressā
concept was proposed
to address the binding of endogenous peptides to the opioid receptors
and was later successfully applied in the discovery of the first nonpeptide
Ī“ opioid receptor (DOR) antagonist naltrindole. By revisiting
this concept, and based on the structure of tramadol, we designed
a series of novel compounds that act as highly potent and selective
agonists of DOR among which (ā)-<b>6j</b> showed the
highest affinity (<i>K</i><sub>i</sub> = 2.7 nM), best agonistic
activity (EC<sub>50</sub> = 2.6 nM), and DOR selectivity (more than
1000-fold over the other two subtype opioid receptors). Molecular
docking studies suggest that the āmessageā part of (ā)-<b>6j</b> interacts with residue Asp128<sup>3.32</sup> and a neighboring
water molecule, and the āaddressā part of (ā)-<b>6j</b> packs with hydrophobic residues Leu300<sup>7.35</sup>,
Val281<sup>6.55</sup>, and Trp284<sup>6.58</sup>, rendering DOR selectivity.
The discovery of novel compound (ā)-<b>6j</b>, and the
obtained insights into DOR-agonist binding will help us design more
potent and selective DOR agonists
Correlation between tumor-infiltrating Tregs and CD4+ T cells or CD8+ T cells in PDA tissue.
<p>The correlation of the tumor-infiltrating Treg frequency with that of tumor-infiltrating CD4<sup>+</sup> T cells or tumor-infiltrating CD8<sup>+</sup> T cells was analyzed. Correlations between the parameters were assessed through Pearson correlation analysis.</p