Analysis of spectral shape in the barn owl auditory system

In a behavioral experiment, we investigated how efficiently barn owls (Tyto alba) could detect changes in the spectral profile of multi-component auditory signals with stochastic envelope patterns. Signals consisted of one or five bands of noise (bandwidth 4, 16, or 64 Hz each; center frequencies 1.02, 1.43, 2.0, 2.8, 3.92 kHz). We determined increment thresholds for the 2 kHz component for three conditions: single-band condition (only the 2 kHz component), all five noise bands with the envelope fluctuations of the bands being either correlated or uncorrelated. Noise bandwidth had no significant effect on increment detection. Increment thresholds for the different conditions, however, differed significantly. Thresholds in correlated conditions were generally the lowest of all conditions, whereas, thresholds in uncorrelated conditions mostly resulted in the highest thresholds. This can be interpreted as evidence for comodulation masking release in barn owls. If the increment in the 2 kHz component is balanced by decrementing the four flanking bands in amplitude, increment detection thresholds are not affected. The data suggest that the barn owls used information from simultaneous spectral comparison across different frequency channels to detect spectral changes in multi-component noise signals rather than sequential comparison of overall stimulus levels.     

Indole-3-piperazinyl derivatives: novel chemical class of 5-HT(6) receptor antagonists

N₁-Arylsulfonyl-3-piperazinyl indole derivatives were designed and identified as a novel class of 5-HT₆ receptors ligands. All the compounds have high affinity and antagonist activity towards 5-HT₆ receptor. The compound 7a (K_i = 3.4 nM, functional assay IC₅₀ = 310 nM) shows enhanced cognitive effect when tested in NORT and Morris water maze models. Synthesis, SAR and PK profile of these novel compounds constitute the subject matter of this Letter.     

The role of human ribosomal proteins in the maturation of rRNA and ribosome production

Production of ribosomes is a fundamental process that occurs in all dividing cells. It is a complex process consisting of the coordinated synthesis and assembly of four ribosomal RNAs (rRNA) with about 80 ribosomal proteins (r-proteins) involving more than 150 nonribosomal proteins and other factors. Diamond Blackfan anemia (DBA) is an inherited red cell aplasia caused by mutations in one of several r-proteins. How defects in r-proteins, essential for proliferation in all cells, lead to a human disease with a specific defect in red cell development is unknown. Here, we investigated the role of r-proteins in ribosome biogenesis in order to find out whether those mutated in DBA have any similarities. We depleted HeLa cells using siRNA for several individual r-proteins of the small (RPS6, RPS7, RPS15, RPS16, RPS17, RPS19, RPS24, RPS25, RPS28) or large subunit (RPL5, RPL7, RPL11, RPL14, RPL26, RPL35a) and studied the effect on rRNA processing and ribosome production. Depleting r-proteins in one of the subunits caused, with a few exceptions, a decrease in all r-proteins of the same subunit and a decrease in the corresponding subunit, fully assembled ribosomes, and polysomes. R-protein depletion, with a few exceptions, led to the accumulation of specific rRNA precursors, highlighting their individual roles in rRNA processing. Depletion of r-proteins mutated in DBA always compromised ribosome biogenesis while affecting either subunit and disturbing rRNA processing at different levels, indicating that the rate of ribosome production rather than a specific step in ribosome biogenesis is critical in patients with DBA.     

Discovering robust protein biomarkers for disease from relative expression reversals in 2-D DIGE data

This study assesses the ability of a novel family of machine learning algorithms to identify changes in relative protein expression levels, measured using 2-D DIGE data, which support accurate class prediction. The analysis was done using a training set of 36 total cellular lysates comprised of six normal and three cancer biological replicates (the remaining are technical replicates) and a validation set of four normal and two cancer samples. Protein samples were separated by 2-D DIGE and expression was quantified using DeCyder-2D Differential Analysis Software. The relative expression reversal (RER) classifier correctly classified 9/9 training biological samples (p<0.022) as estimated using a modified version of leave one out cross validation and 6/6 validation samples. The classification rule involved comparison of expression levels for a single pair of protein spots, tropomyosin isoforms and alpha-enolase, both of which have prior association as potential biomarkers in cancer. The data was also analyzed using algorithms similar to those found in the extended data analysis package of DeCyder software. We propose that by accounting for sources of within- and between-gel variation, RER classifiers applied to 2-D DIGE data provide a useful approach for identifying biomarkers that discriminate among protein samples of interest.     

Unveiling network-based functional features through integration of gene expression into protein networks

Decoding health and disease phenotypes is one of the fundamental objectives in biomedicine. Whereas high-throughput omics approaches are available, it is evident that any single omics approach might not be adequate to capture the complexity of phenotypes. Therefore, integrated multi-omics approaches have been used to unravel genotype–phenotype relationships such as global regulatory mechanisms and complex metabolic networks in different eukaryotic organisms. Some of the progress and challenges associated with integrated omics studies have been reviewed previously in comprehensive studies. In this work, we highlight and review the progress, challenges and advantages associated with emerging approaches, integrating gene expression and protein-protein interaction networks to unravel network-based functional features. This includes identifying disease related genes, gene prioritization, clustering protein interactions, developing the modules, extract active subnetworks and static protein complexes or dynamic/temporal protein complexes. We also discuss how these approaches contribute to our understanding of the biology of complex traits and diseases. This article is part of a Special Issue entitled: Cardiac adaptations to obesity, diabetes and insulin resistance, edited by Professors Jan F.C. Glatz, Jason R.B. Dyck and Christine Des Rosiers.     

Mixture design as a potential tool in modeling the effect of light wavelength on Dunaliella salina cultivation: an alternative solution to increase microalgae lipid productivity for biodiesel production

Abstract

For a feasible microalgae biodiesel, increasing lipid productivity is a key parameter. An important cultivation parameter is light wavelength (λ). It can affect microalgal growth, lipid yield, and fatty acid composition. In the current study, the mixture design was used as an alternative to model the influence of the λ on the Dunaliella salina lipid productivity. The illumination was considered to be the mixture of different λ (the light colors blue, red, and green). All experiments were performed with and without sodium acetate (4?g/L), as carbon source, allowing the identification of the impact of the cultivation regimen (autotrophic or mixotrophic). Without sodium acetate, the highest lipid productivity was obtained using blue and red light. The use of mixotrophic cultivations significantly enhanced the results. The optimum obtained result was mixotrophic cultivation under 65% blue and 35% green light, resulting in biomass productivity of 105.06 mgL^?1day^?1, a lipid productivity of 53.47 mgL^?1day^?1, and lipid content of 50.89%. The main fatty acids of the oil obtained in this cultivation were oleic acid (36.52%) and palmitic acid (18.31%).     

Plasma membrane display of anti-viral single chain Fv fragments confers resistance to tobacco mosaic virus

We tested the hypothesis that membrane-anchored anti-viral antibodies can confer viral resistance to transgenic plants. A heterologous expression system was developed for plasma membrane targeting of anti-viral antibodies using mammalian transmembrane domains. A tobacco mosaic virus (TMV) neutralizing single-chain Fv antibody fragment (scFv24) was targeted to the endoplasmic reticulum and integrated into the plasma membrane of tobacco cells, using mammalian signal peptides and membrane receptor transmembrane domains. The human platelet-derived growth factor receptor (PDGFR) transmembrane domain or the T-cell receptor -domain (TcR) transmembrane domain was fused to the C-terminus of TMV-specific scFv24 to target expression of scFv24 as an extracellularly facing plasma membrane protein. Western blot and ELISA analyses were carried out to confirm functional expression of the recombinant fusion proteins scFv24-PDGFR and scFv24-TcR in transgenic tobacco suspension cultures and transgenic plants. Immunofluorescence and electron microscopy showed that the TcR transmembrane domain targeted scFv24 to the tobacco plasma membrane. Bioassays of viral infection showed that transgenic tobacco plants expressing scFv24-TcR were resistant to TMV infection. These results demonstrated that membrane anchored anti-viral antibody fragments are functional, can be targeted to the plasma membrane in planta and are a novel approach for engineering disease-resistant crops.     

Synthesis and biological evaluation of new [1,2,4]triazolo[4,3-a]pyridine derivatives as potential c-Met inhibitors

A series of [1,2,4]triazolo[4,3-a]pyrazine derivatives (4a–4i) were designed, synthesized and evaluated for their c-Met kinase inhibition and antitumor activity against SNU5 gastric cell line in vitro. Among these compounds, 4d was found to show the highest activity against c-Met and high selectivity against the tumor cells which are believed to be dependent on the c-Met oncogene amplification, because 4d selectively inhibited c-Met while had no effect on other 59 kinases. In vivo efficacy study on human gastric (MKN-45) and human non-small cell lung (NCI-H1993) tumor xenograft in nude mouse demonstrated that 4d·CH₃SO₃H had a better inhibiting activity than SGX-523 in a dose-dependent manner. When tested in mice, compound 4d·CH₃SO₃H was found to have biological half-lives and plasma exposure values higher than those of JNJ-38877605, and its long-term toxicity and acute toxicity turned out to be acceptable, all of which indicates that 4d·CH₃SO₃H is a desirable drug candidate.     

特异腐质霉角质酶-锚定肽融合蛋白的特性及在处理再生纸胶黏物中的应用

随着森林木材资源的减少,废纸回收利用越来越受到人们的重视.然而,废纸回收利用过程中产生的胶黏物会对再生纸的生产造成严重影响.生物法控制胶黏物主要是通过酶断裂胶黏物组分之间的酯键,防止胶黏物的絮凝,具有高效、专一、无污染等优势.角质酶是一种丝氨酸酯酶,可降解胶黏物中的部分成分.相关研究表明,锚定肽tachystatin ...     

肿瘤相关基因表达检测寡核苷酸芯片的制备及其初步应用

为研制肿瘤相关寡核苷酸芯片,并实现其在抗肿瘤反义核酸“癌泰得”作用机理研究方面的初步应用,制备了包含近450种肿瘤相关基因特异寡核苷酸探针的寡核苷酸芯片,建立了相应的质控标准.“癌泰得”用脂质体转染HepG2肿瘤细胞,提取细胞总RNA反转录并荧光标记cDNA,用制备的寡核苷酸芯片检测肝癌细胞HepG2的肿瘤相关基因表达水平,用软件分析获得其差异基因表达谱.0.4 μmol/L的反义核酸“癌泰得”作用于HepG2细胞15 h后,MDNCF、DHS等基因mRNA表达下调,MUC2、MPP11、LAT、HRIF-B、JNK3A1等mRNA基因表达上调,初步检测到了“癌泰得”的抗肿瘤作用可能的相关基因,为进一步的分子作用机理的探讨奠定基础.结果表明,制备的肿瘤相关芯片敏感度高、特异性高、重复性均较好,可用于检测肿瘤相关基因的表达谱,为临床诊断和基础研究提供了技术平台.