Discovery of novel selective inhibitors for EGFR-T790M/L858R

Through a receptor-based and ligand-based combined virtual screening protocol, 21 novel compounds covering 15 scaffolds were identified as novel inhibitors for EGFR-T790M/L858R, among which, 12 of them were identified as selective inhibitors for EGFR-T790M/L858R to wild-type EGFR, and 5 of them exhibited 'dual-effective' to wild-type and mutant EGFR. Meanwhile, their antiproliferative effects toward EGFR high-expressing human lung cancer cell (A549), epidermoid carcinoma cell (A431), and the mutant EGFR-dependent cell (NCI-H1975) were also evaluated.     

Does follicle excision always result in enlargement of offspring size in lizards?

An experimental reduction of offspring number has been reported to result in enlargement of offspring size in lizards. We applied the “follicle excision” technique to a lacertid lizard (Takydromus septentrionalis) to examine whether this effect is generalisable to lizards. Of the 82 females that produced 3 successive clutches in the laboratory, 23 females underwent follicle excision after they oviposited the first clutch. Follicle excision reduced clutch size, but did not alter egg size. This result indicates that egg size is not altered during vitellogenesis in T. septentrionalis. Females undergoing follicle excision produced a third clutch (a second post-surgical clutch) as normally as did control females. Females switched from producing more but smaller eggs early in the breeding season to fewer but larger eggs later in the season. Our results indicate that female T. septentrionalis maximize reproductive success by diverting an optimal, rather than a higher, fraction of the available energy to individual offspring. This optimized allocation of the available energy to offspring production explains why follicle excision does not result in enlargement of egg size in this species. Our study provides evidence that an experimental reduction of offspring number does not always result in enlargement of offspring size in lizards.     

Molecular characterization and expression analysis of interferon- inducible protein 56 gene in large yellow croaker Pseudosciaena crocea

In mammals, interferon-inducible protein 56 (IFI56) has been considered to play a role in mediating inhibition of viral replication and cell growth, and possibly in mediating cell apoptosis. Here, we reported the cloning of an IFI56 homologue from the spleen of large yellow croaker, a marine fish (LycIFI56). The complete cDNA of LycIFI56 gene is 1628 nucleotides (nt) encoding a protein of 437 amino acids (aa), with a putative molecular weight of 50.8 kDa. The deduced LycIFI56 protein has a high-level homology with all members of IFIT (IFN-inducible proteins with TPR domain) family, and its 9 putative TPR motifs all locate the corresponding position of these IFIT proteins. Phylogenetic analysis showed that five fish IFIT members form a unique clad independent of mammalian homologues, reflecting a distant evolutionary relationship from mammals. LycIFI56 gene was constitutively expressed in various tissues examined, such as gills, intestine, liver, kidney, heart, spleen, muscle and blood. Upon induction with poly(I:C), LycIFI56 gene expression is obviously up-regulated in spleen, gills, intestine, liver and kidney at 24 h post-induction, suggesting that LycIFI56 may be involved in the immune response induced by poly(I:C). Analysis of the expression kinetics of LycIFI56 and IRF1 genes revealed that the up-regulation of LycIRF-1 expression by poly (I:C) was apparently earlier than that of LycIFI56. These results would facilitate a better understanding of the expression regulation of fish IFI56 gene, and of its roles in immunity of bony fish.     

Engineering microbes to sense and eradicate Pseudomonas aeruginosa,a human pathogen

Synthetic biology aims to systematically design and construct novel biological systems that address energy, environment, and health issues. Herein, we describe the development of a synthetic genetic system, which comprises quorum sensing, killing, and lysing devices, that enables Escherichia coli to sense and kill a pathogenic Pseudomonas aeruginosa strain through the production and release of pyocin. The sensing, killing, and lysing devices were characterized to elucidate their detection, antimicrobial and pyocin release functionalities, which subsequently aided in the construction of the final system and the verification of its designed behavior. We demonstrated that our engineered E. coli sensed and killed planktonic P. aeruginosa, evidenced by 99% reduction in the viable cells. Moreover, we showed that our engineered E. coli inhibited the formation of P. aeruginosa biofilm by close to 90%, leading to much sparser and thinner biofilm matrices. These results suggest that E. coli carrying our synthetic genetic system may provide a novel synthetic biology‐driven antimicrobial strategy that could potentially be applied to fighting P. aeruginosa and other infectious pathogens.     

Automated interpretation of subcellular patterns in fluorescence microscope images for location proteomics.

Proteomics, the large scale identification and characterization of many or all proteins expressed in a given cell type, has become a major area of biological research. In addition to information on protein sequence, structure and expression levels, knowledge of a protein's subcellular location is essential to a complete understanding of its functions. Currently, subcellular location patterns are routinely determined by visual inspection of fluorescence microscope images. We review here research aimed at creating systems for automated, systematic determination of location. These employ numerical feature extraction from images, feature reduction to identify the most useful features, and various supervised learning (classification) and unsupervised learning (clustering) methods. These methods have been shown to perform significantly better than human interpretation of the same images. When coupled with technologies for tagging large numbers of proteins and high-throughput microscope systems, the computational methods reviewed here enable the new subfield of location proteomics. This subfield will make critical contributions in two related areas. First, it will provide structured, high-resolution information on location to enable Systems Biology efforts to simulate cell behavior from the gene level on up. Second, it will provide tools for Cytomics projects aimed at characterizing the behaviors of all cell types before, during, and after the onset of various diseases.