Biofabrication of Anisotropic Gold Nanotriangles Using Extract of Endophytic Aspergillus clavatus as a Dual Functional Reductant and Stabilizer

Biosynthesis of metal and semiconductor nanoparticles using microorganisms has emerged as a more eco-friendly, simpler and reproducible alternative to the chemical synthesis, allowing the generation of rare forms such as nanotriangles and prisms. Here, we report the endophytic fungus Aspergillus clavatus, isolated from surface sterilized stem tissues of Azadirachta indica A. Juss., when incubated with an aqueous solution of chloroaurate ions produces a diverse mixture of intracellular gold nanoparticles (AuNPs), especially nanotriangles (GNT) in the size range from 20 to 35 nm. These structures (GNT) are of special interest since they possess distinct plasmonic features in the visible and IR regions, which equipped them with unique physical and optical properties exploitable in vital applications such as optics, electronics, catalysis and biomedicine. The reaction process was simple and convenient to handle and was monitored using ultraviolet–visible spectroscopy (UV–vis). The morphology and crystalline nature of the GNTs were determined from transmission electron microscopy (TEM), atomic force spectroscopy (AFM) and X-ray diffraction (XRD) spectroscopy. This proposed mechanistic principal might serve as a set of design rule for the synthesis of anisotropic nanostructures with desired architecture and can be amenable for the large scale commercial production and technical applications

Protein contact map prediction using committee machine approach

A protein contact map is a simplified representation of the protein's spatial structure. In recent years, contact map prediction has received a great deal of attention in Bioinformatics. Committee Machine is a machine learning method which shares the learning task among a number of learners and divides the input space into subspaces. Learners' responses to an input are combined to produce the system’s final response which is more accurate than any single individual’s response. In this paper a novel method called CMP_Model, for contact map prediction based on Committee Machine, is proposed. In this method, the learner group is a set of neural networks. To analyze the results of the proposed model, two other models are implemented and their results are compared and presented. The results show considerable gain (an accuracy improvement from 0.05 to 0.15) which is achievable by the Committee Machine approach in the contact map prediction problem

Silencing of Hsp70 Intensifies 6-OHDA-Induced Apoptosis and Hsp90 Upregulation in PC12 Cells

By the current study, we tried to find out the interactive mechanisms enrolled by Hsp70 and Hsp90 following the 6-hydroxydopamine (6-OHDA)-induced oxidative stress. Of heat shock protein (Hsp) family, we have previously evaluated the effects of Hsp90 gene silencing on in vitro model of Parkinson�s disease and its influence on controlling the mechanisms of cell survival. Here, we extended our study to Hsp70 silencing short interfering RNA (siRNA) oligonucleotides, transfected into Pheochromocytoma (PC12) cells with/without exposure to 6-OHDA stress. In order to determine the probable effects of Hsp70 silencing on apoptotic factors, we assessed Bcl2/Bax ratio, nuclear level of PARP, and cleavage of caspase-3 under 6-OHDA stress condition. The results showed deteriorated effect of Hsp70 siRNA on apoptosis in cells exposed to only 6-OHDA. This is, at least in part, in consequence of upregulation of Hsp90, both at messenger RNA (mRNA) and protein levels. These data highlight the critical role of Hsp70 for cell survival under 6-OHDA stress condition. It could be a suggestive issue for supervision of caspase cascades by survival roles of Hsps as Hsp70 silencing resulted in apoptosis phenomenon. Convergence of Hsp70 anti-apoptotic and 6-OHDA pro-apoptotic pathways may explain intensified apoptosis following Hsp70 silencing. In addition, nuclear factor erythroid-2-related factor 2 (Nrf2), a transcription factor, has been previously studied in detoxification of oxidative stress. For this issue, we tried to elucidate Hsp70 silencing impact on Nrf2, which has been shown to regulate the transcription of Hsp70, unspecifically. Besides, our investigations revealed that Hsp70 siRNA did not affect the level of Nrf2 during 6-OHDA exposure. But, it is still a dealing question and other investigations are needed to have a comprehensive perception of Hsp family signaling functions. © 2014, Springer Science+Business Media New York