Two-dimensional aperiodic nonlinear photonic crystal in a dual-wavelength Nd:YVO4 laser for pulsed orange generation.

We report the design and construction of a highly integrated two-dimensional (2D) aperiodic nonlinear photonic crystal (NPC) for working in a diode-pumped, dual-wavelength (1064 and 1342 nm) Nd:YVO4 laser to demonstrate a compact, high-peak-power intracavity sum-frequency generator (ISFG) radiating at orange 593.5 nm. The 2D aperiodic NPC was built in quasi-phase-matched LiNbO3whose crystal domain was structured based on the aperiodic optical superlattice technique to best achieve its simultaneous performance of a dual-wavelength electro-optic Bragg Q-switch and a SFG in the Nd:YVO4 laser. When the NPC device was driven with a 350-V Q-switching voltage and a 1-kHz switching rate, we measured pulse energy of ~4.3 µJ (or peak power of ~531 W) at orange 593.5 nm from the constructed ISFG with 5.28-W diode power.

Efficient delayed fluorescence via triplet-triplet annihilation for deep-blue electroluminescence.

Four 2-(styryl)triphenylene derivatives (TSs) were synthesized for deep-blue dopant materials. By using a pyrene-containing compound, DMPPP, as the host, the TS-doped devices exhibited significant delayed fluorescence via triplet-triplet annihilation, providing the highest quantum efficiency of 10.2% and a current efficiency of 12.3 cd A(-1).

TIAF1 self-aggregation in peritumor capsule formation, spontaneous activation of SMAD-responsive promoter in p53-deficient environment, and cell death.

Self-aggregation of transforming growth factor ß (TGF-ß)1-induced antiapoptotic factor (TIAF1) is known in the nondemented human hippocampus, and the aggregating process may lead to generation of amyloid ß (Aß) for causing neurodegeneration. Here, we determined that overexpressed TIAF1 exhibits as aggregates together with Smad4 and Aß in the cancer stroma and peritumor capsules of solid tumors. Also, TIAF1/Aß aggregates are shown on the interface between brain neural cells and the metastatic cancer cell mass. TIAF1 is upregulated in developing tumors, but may disappear in established metastatic cancer cells. Growing neuroblastoma cells on the extracellular matrices from other cancer cell types induced production of aggregated TIAF1 and Aß. In vitro induction of TIAF1 self-association upregulated the expression of tumor suppressors Smad4 and WW domain-containing oxidoreductase (WOX1 or WWOX), and WOX1 in turn increased the TIAF1 expression. TIAF1/Smad4 interaction further enhanced Aß formation. TIAF1 is known to suppress SMAD-regulated promoter activation. Intriguingly, without p53, self-aggregating TIAF1 spontaneously activated the SMAD-regulated promoter. TIAF1 was essential for p53-, WOX1- and dominant-negative JNK1-induced cell death. TIAF1, p53 and WOX1 acted synergistically in suppressing anchorage-independent growth, blocking cell migration and causing apoptosis. Together, TIAF1 shows an aggregation-dependent control of tumor progression and metastasis, and regulation of cell death.

Increased lymphocyte sister chromatid exchange frequency in workers with exposure to low level of ethylene dichloride.

The genotoxicity of low-level exposure to ethylene dichloride (EDC) and vinyl chloride monomer (VCM) in humans is not clear. We used lymphocyte sister chromatid exchange (SCE) frequency as a parameter to investigate the genotoxicity of low level EDC and VCM in VCM-manufacturing workers. The SCE frequency was determined for 51 male workers with exposure to VCM and/or EDC and for 20 male workers devoid of such exposure. Epidemiological data were obtained by questionnaire, and included history of smoking, drinking, and any medication taken, as well as a detailed occupational history. Personal- and area-sampling and analysis were conducted in order to calculate the time-weighted average (TWA) contaminant-exposure level corresponding to different job categories. Moderate EDC exposure around 1 ppm corresponded to a significantly greater SCE frequency than was the case for the low EDC exposure group (p<0.01). However, VCM exposure of similar level was not associated with increased SCE. We conclude that EDC may cause genotoxicity at a relatively low level of exposure.

Asparagine as a nitrogen source for improving the secretion of mouse alpha-amylase in Saccharomyces cerevisiae protease A-deficient strains.

A modified chemically defined medium was achieved by using asparagine as a nitrogen source to increase the production of secreted mouse alpha-amylase in several Saccharomyces cerevisiae protease A-deficient (pep4) strains. The specific productivity (quantity) and the 53 kDa non-glycosylated active form (quality) of mouse salivary alpha-amylase in liquid medium containing asparagine was remarkably improved compared to media containing other nitrogen sources, including ammonium sulphate, glutamic acid, arginine, casamino acids, yeast extract and peptone. Similar improvement was also observed on starch solid agar regarding the clarity and size of the halo zone formed by alpha-amylase activity. Compared with ammonium sulphate, advantages of using asparagine as the nitrogen source in liquid or solid medium included increasing the cell mass of test strains, recovering the viability of protease-deficient strains to levels similar to the wild-type strain, and increasing the copy number of the mouse alpha-amylase expression vector in test strains. In turn, these advantages apparently contributed to the increase of secretion of mouse alpha-amylase in several test strains and especially in the protease A-deficient strains. In addition to demonstrating the use of modified chemically defined medium to improve the quality and quantity of secreted mouse alpha-amylase, this study also provides a new strategy to improve the secretion of heterologous proteins in protease A deficient strains.

Prediction of beta-turns.

An automated computer prediction of the chain reversal regions of globular proteins is described herein using bend frequencies and beta-turn conformational parameters (Pt) determined from 408 beta-turns in 29 proteins calculated from x-ray atomic coordinates. The probability of bend occurrence at residue i is pt = fi X fi+1 X fi+2 X fi+3 with the average bend probability less than Pt greater than = 0.55 X 10(-4). Tetrapeptides with pt greater than 0.75 X 10(-4) ( approximately to 1.5 X less than pt greater than) as well as less than Pt greater than 1.00 and less than Pa greater than less than less than Pt greater than greater than less than P beta greater than are selected by the computer as probable bends. Adjacent probable bends (i.e., 11-14, 12-15, 13-16) are compared pairwise by the computer, and the tetrapeptide with the higher pt value is predicted as a beta-turn. The percentage of bend and nonbend residues predicted correctly for 29 proteins by this computer algorithm is %t+nt = 70%, whereas 78% of the beta-turns were localized correctly within +/- 2 residues. The average beta-turn content in the 29 proteins is 32%, with helical proteins having fewer bends (17%) than beta-sheet proteins (41%). Three proteins having iron-sulfur clusters were found with the highest percentages of beta-turns: Chromatium high potential iron protein (65%), ferredoxin (57%), and rubredoxin (65%). Finally, the bend frequencies at all 12 positions from 457 beta-turns in 29 proteins (Chou and Fasman, 1977) were used to test the effectiveness of predicting bends using 2, 4, 8, and 12 residues as well as different cut-off pt values. The computer analysis showed that 1.25 less than pt greater than to be the best cut-off yielding 70% accuracy in %t+nt for 4 residues and %t+nt = 73% for 12 residues in predicting the bend and nonbend regions of proteins.

Conservation of chain reversal regions in proteins.

Using the bend frequencies based on 29 proteins in the previous paper (Chou and Fasman, 1979), beta-turn probability profiles were calculated for the C-peptides of 10 mammalian proinsulins, for 7 proteinase inhibitors, and for 12 species of pancreatic ribonucleases. Beta-turn correlation coefficient matrix tables were also computed to obtain the statistical mean between 45 pairs of proinsulin C-peptides, less than Ct greater than = 0.57 +/- 0.31; 21 pairs of proteinase inhibitors, less than Ct greater than = 0.73 +/- 0.13; and 66 pairs of ribonucleases, less than Ct greater than = 0.83 +/- 0.08. Despite relatively low sequence conservation in these three sets of proteins, beta-turns were predicted to be highly conserved: 33% sequence vs. 78% bend for the proinsulins, 20% sequence vs. 85% bend for the proteinase inhibitors, and 65% sequence vs. 92% bend for the ribonucleases. These results suggest that chain reversal regions play an essential role in keeping the active structural domains in hormones and enzymes intact for their specific biological function.

Prediction of the conformation of the histones.

The secondary structures of the histones, H1, H2A, H2B, H3, and H4 have been predicted utilizing the predictive scheme of Chou and Fasman (Biochemistry 13:211, 222[1974]) and a new set of conformational parameters based on the X-ray data of 29 protein structures. The alpha-helical, beta-sheet, reverse beta-turns, and random coil regions of these proteins are carefully delineated. Structures are specified which are most probably under various environmental conditions, i.e., for changes in ionic strength, association between histones and in association with DNA. Potential conformational changes within these histones are also predicted.

The conformation of glucagon: predictions and consequences.

It is proposed that glucagon, a polypeptide hormone, is delicately balanced between two major conformational states. Utilizing a new predictive model [Chou, P.Y., and Fasman, G.D. (1974), Biochemistry 13, 222] which considers all the conformational states in proteins (helix, beta sheet, random coil, and beta turns), the secondary structural regions of glucagon are computed herein. The conformational sensitivity of glucagon may be due to residues 19-27 which have both alpha-helical potential (mean value of Palpha = 1.19) as well as beta-sheet potential (mean value of Pbeta = 1.25). Two conformational states are predicted for glucagon. In predicted form (a), residues 5-10 form a beta-sheet region while residues 19-27 form an alpha-helical region (31% alpha, 21% beta) agreeing well with the circular dichroism (CD) spectra of glucagon. The similarity in the CD spectra of glucagon and insulin further suggests the presence of beta structure in glucagon, since X-ray analysis of insulin showed 24% beta sheet. In predicted form (b), both regions, residues 5-10 and residues 19-27, are beta sheets sheets (0% alpha, 52% beta) in agreement with the infrared spectral evidence that glucagon gels and fibrils have a predominant beta-sheet conformation. Since three reverse beta turns are predicted at residues 2-5, 10-13, and 15-18, glucagon may possess tertiary structure in agreement with viscosity and tritium-hydrogen exchange experiments. A proposal is offered concerning an induced alpha yields beta transition at residues 22-27 in glucagon during receptor site binding. Amino acid substitutions are proposed which should disrupt the beta sheets of glucagon with concomitant loss of biological activity. The experimental findings that glucagon aggregates to form dimers, trimers, and hexamers can be explained in terms of beta-sheet interactions as outlined in the present predictive model. Thus the conflicting conclusions of previous workers, concerning the conformation of glucagon in different environments, can be rationalized by the suggested conformational transition occurring within the molecule.