Targeted inhibition of hantavirus replication and intracranial pathogenesis by a chimeric protein-delivered siRNA.

Hantavirus (HV) infection, which underlies hantavirus hemorrhagic fever with renal syndrome and hantavirus pulmonary syndrome, remains to be a severe clinical challenge. Here, we synthesized small interfering RNAs (siRNAs) that target the encoding sequences of HV strain 76-118, and validated their inhibitory role in virus replication in HV-infected monkey kidney Vero E6 cells. A chimeric protein, 3G1-Cκ-tP, consisting of a single-chain antibody fragment (3G1) against the HV surface envelop glycoprotein, the constant region of human immunoglobulin κ chain (Cκ), and truncated protamine (amino acids 8-29, tP), was further generated. The fusion protein showed high affinity to HV antigen on the infected cell membrane, and internalized through clathrin-mediated endocytosis; it bound to siRNAs via the basic nucleic acid-rich protamine fragment, leading to their specific delivery into HV-infected cells and efficient inhibition of virus replication. An encephalitis mouse model was established via intracranial HV administration. Intraperitoneal injection of siRNAs complexed with 3G1-Cκ-tP achieved specific distribution of siRNAs in HV-infected brain cells, significantly reduced HV antigen levels, and effective protection from HV infection-derived animal death. These results provide a compelling rationale for novel therapeutic protocols designed for HV infection and related disorders.

[Hyperspectral image compression technology research based on EZW].

Along with the development of hyperspectral remote sensing technology, hyperspectral imaging technology has been applied in the aspect of aviation and spaceflight, which is different from multispectral imaging, and with the band width of nanoscale spectral imaging the target continuously, the image resolution is very high. However, with the increasing number of band, spectral data quantity will be more and more, and these data storage and transmission is the problem that the authors must face. Along with the development of wavelet compression technology, in field of image compression, many people adopted and improved EZW, the present paper used the method in hyperspectral spatial dimension compression, but does not involved the spectrum dimension compression. From hyperspectral image compression reconstruction results, whether from the peak signal-to-noise ratio (PSNR) and spectral curve or from the subjective comparison of source and reconstruction image, the effect is well. If the first compression of image from spectrum dimension is made, then compression on space dimension, the authors believe the effect will be better.

[Research on endmember extraction algorithm based on spectral classification].

Spectral unmixing is an important task for data processing of hyperspectral remote sensing, which is comprised of extracting the pure spectra (endmember) and calculating the abundance value of pure spectra. The most efficient endmember extracting algorithms (EEAs) is designed based on convexity geometry such as pure pixel index (PPI), N-finder algorithm (N-FINDR). Most EEAs choose pure spectra from all pixels of an image so that they have disadvantages like slow processing speed and poor precision. Partial algorithms need reducing the spectral dimension, which results in the difficulty in small target identification. This paper proposed an algorithm that classifies the hyperspetral image into some classes with homogeneous spectra and considers the mean spectra of a class as standard spectra for the class, then extracts pure spectrum from all standard spectra of classes. It reduces computation and the effect of system error, enhancing the speed and precision of endmember extraction. Using the least squares with constraints on spectral extraction and spectral unmixing, by controlling the band average value of the maximum spectral redundant allowance to control the number of endmembers, does not need to reduce the spectral dimension and predetermine the number of endmembers, so compared to N-finder algorithm, such algorithm is more rational.

[The multi-spectra classification algorithm based on K-means clustering and spectral angle cosine].

The classification and de-aliasing methods with respect to multi-spectra and hyper-spectra have been widely studied in recent years. And both K-mean clustering algorithm and spectral similarity algorithm are familiar classification methods. The present paper improved the K-mean clustering algorithm by using spectral similarity match algorithm to perform a new spectral classification algorithm. Two spectra with the farthest distance first were chosen as reference spectra. The Euclidean distance method or spectral angle cosine method then were used to classify data cube on the basis of the two reference spectra, and delete the spectra which belongs to the two reference spectra. The rest data cube was used to perform new classification according to a third spectrum, which is the farthest distance or the biggest angle one corresponding to the two reference spectra. Multi-spectral data cube was applied in the experimental test. The results of K-mean clustering classification by ENVI, compared with simulation results of the improved K-mean algorithm and the spectral angle cosine method, demonstrated that the latter two classify two air bubbles explicitly and effectively, and the improved K-mean algorithm classifies backgrounds better, especially the Euclidean distance method can classify the backgrounds integrally.

Essential role of cell cycle regulatory genes p21 and p27 expression in inhibition of breast cancer cells by arsenic trioxide.

Arsenic trioxide (As2O3), a component of traditional Chinese medicine, has been used successfully for the treatment of acute promyelocytic leukemia (APL), and As2O3 is of potential therapeutic value for the treatment of other promyelocytic malignancies and some solid tumors including breast cancer. However, the precise molecular mechanisms through which As2O3 induces cell cycle arrest and apoptosis in solid tumors have not been clearly understood. The goal of our study is to gain insight into the general biological processes and molecular functions that are altered by As2O3 treatment in MCF-7 breast cancer cells and to identify the key signaling processes that are involved in the regulation of these physiological effects. In the present study, MCF-7 cells were treated with 5 µM As2O3, and the differential gene expression was then analyzed by DNA microarray. The results showed that As2O3 treatment changed the expression level of several genes that involved in cell cycle regulation, signal transduction, and apoptosis. Notably, As2O3 treatment increased the mRNA and protein levels of the cell cycle inhibitory proteins, p21 and p27. Interestingly, knocking down p21 or p27 individually did not alter As2O3-induced apoptosis and cell cycle arrest; however, the simultaneous down-regulation of both p21 and p27 resulted in attenuating of G1, G2/M arrest and reduction in apoptosis, thus indicating that p21 and p27 as the primary molecular targets of As2O3 against breast cancer. Overall, our results provide new insights into As2O3-related signaling activities, which may facilitate the development of As2O3-based anticancer strategies and/or combination therapies against solid tumors.

Synergistic tumor growth-inhibitory effect of the prostate-specific antigen-activated fusion peptide BSD352 for prostate cancer therapy.

Prostate-specific antigen (PSA), a serine protease, is a promising target for the development of prodrugs in prostate cancer treatment. In this study, we designed a novel fusion peptide, BSD352, containing three functional domains: a protein transduction domain from HIV transactivating regulatory protein (TAT) followed by the BH3 domain of the p53 upregulated modulator of apoptosis (TAT-BH3), an anti-vascular endothelial growth factor peptide (SP5.2), and an anti-basic fibroblast growth factor peptide (DG2). These different domains in BSD352 were linked together by a linker sequence corresponding to a PSA hydrolytic substrate peptide. The BSD352 fusion peptide could be selectively cleaved by PSA in PSA-producing LNCaP prostate cancer cells. Furthermore, the BSD352 fusion peptide was efficiently transduced into tumor cells both in vitro and in vivo, and the BH3 domain was found to induce tumor cell apoptosis by elevating the expression of Bax, cytochrome C release, and caspase-9 cleavage. Moreover, the SP5.2 and DG2 domains in the BSD352 fusion peptide also exhibited in-vitro endothelial cell growth inhibition and in-vivo antiangiogenic activities. Direct injection of BSD352 into an established LNCaP xenograft tumor in mice inhibited tumor growth, whereas a synergistic effect was observed with the combined use of wild-type BH3, SP5.2, and DG2 functional domains. These results suggest that BSD352 could be beneficial for the treatment of accessible prostate tumors and may provide a complementary strategy for prostate cancer therapy.

[Research on spectral classification algorithm based on spatial feature].

With the wide use of imaging spectroscopy, applying data cubes to classification and identification of materials has been developed to be an important research content. The classification algorithms play a vital role in accuracy and precision of object identification. The most common classification algorithms mainly make use of the information gained from spectral dimension and classify the materials based on spectral match. The material reflectance spectra collected by imaging spectroscopy is determined not only by the sorts, but also by the geometry structure and roughness of material surface, and so on. Then classification and identification algorithms only using the reflection spectra have errors to some extent. This paper puts forward an algorithm based on the common classification algorithms that controls the classification process by using the spatial feature of image to promote the correctness of classification. This algorithm was applied to identify the true leaves from the fake ones. The result shows preferable spatial continuity. To a great extent, the algorithm overcomes "ma pixel" domino effect, and is proved valid.

Stathmin is involved in arsenic trioxide-induced apoptosis in human cervical cancer cell lines via PI3K linked signal pathway.

Although the mechanisms of arsenic trioxide (As2O3)-induced apoptosis have been elucidated extensively in hematologic cancers, those in solid tumors have yet to be clearly defined. In the present study, we show that As2O3 triggers apoptosis through the intrinsic pathway and significantly downregulates stathmin expression. Decreased stathmin expression is necessary for the dissipation of mitochondrial membrane potential (Δ ψm), the translocation of cytochrome C from the mitochondria to the cytosol, and subsequent cell death. Overexpression of wild type stathmin effectively delays As2O3-mediated mitochondrial events. Conversely, expression of a small interfering RNA (siRNA) targeting stathmin enhances As2O3-triggered apoptosis in cell culture and in mouse models. Furthermore, we demonstrate that As2O3-induced stathmin downregulation is mediated through the phosphatidylinositol-3-kinase (PI3K) signaling pathway, and that a PI3K inhibitor effectively attenuated stathmin downregulation and cell apoptosis upon As2O3-treatment. These data support a stathmin-dependent pathway of As2O3-mediated cell death in solid tumor cells, and indicate that stathmin is a target of the PI3K/Akt pathway in cervical cancer cells. All these results may provide a rationale for improving the efficacy of As2O3 as a therapeutic agent through combination treatment with stathmin inhibition or PI3K/Akt inhibitors.

The proapoptotic activity of C-terminal domain of apoptosis-inducing factor (AIF) is separated from its N-terminal.

Apoptosis-inducing factor (AIF) is a mitochondrial flavoprotein that mediates both NADH-oxidizing and caspase-independent apoptosis. Further, the proapoptotic activity of AIF is located in the C-terminus of AIF, although the precise minimum sequence responsible for apoptosis induction remains to be investigated. In the present study, we generated two truncated AIFs, AIFDelta1-480-FLAG, which is a FLAG-tagged C-terminal peptide comprising amino acids from 481 to 613, and AIF360-480 containing amino acids from 360 to 480 of AIF. We used confocal microscopy to demonstrate that both the truncated proteins are expressed and located in the cytoplasm of transfected cells. AIFDelta1-480 but not AIF360-480 induces apoptosis in transfected cells. We also found that the expression of AIFDelta1-480 could initiate the release of cytochrome c from the mitochondria. The suppression of caspase-9 via siRNA blocked the proapoptotic activity of AIFDelta1-480. Therefore, AIFDelta1-480 is sufficient for inducing caspase-9-dependent apoptotic signaling, probably by promoting the release of cytochrome c. At last, we generated a chimeric immuno-AIFDelta1-480 protein, which comprised an HER2 antibody, a Pseudomonas exotoxin A translocation domain and AIFDelta1-480. Human Jurkat cells transfected with the immuno-AIFDeltal-480 gene could express and secrete the chimeric protein, which selectively recognize and kill HER2-overexpressing tumor cells. Our study demonstrates the feasibility of the immuno-AIFDeltal-480 gene as a novel approach to treating HER2-overexpressing cancers.

Synthesis of penetrable macroporous silica spheres for high-performance liquid chromatography.

Silica microspheres have been synthesized by phase separation and sol-gel transition coupled with emulsion method. The as-obtained material is characterized by scanning electron microscopy, nitrogen sorption, elemental analysis and particle size distribution measurements. The results demonstrated that the material featured with hierarchically porous structure, possessing both mesopores and penetrable macropores. The mesopores provide large surface area while the macropores traverse the silica particles, which may facilitate fast mass transfer as well as guarantee low backpressure when such materials are used for packed high-performance liquid chromatography (HPLC) column. Therefore, their preliminary applications as HPLC packings in fast separation and low-pressure separation have been attempted in the present study. Benzene, benzaldehyde and benzyl alcohol were separated within two minutes on the silica column at a flow rate of 7 mL min(-1). Vitamin E mixtures can also be baseline separated at a high flow rate of 8 mL min(-1). In addition, thirteen aromatic hydrocarbons were well separated on the octadecyl-bonded silica (ODS) column. In comparison with a commercial Kromasil ODS column, the pressure of the proposed column is much lower (<1/2) under the same chromatographic conditions, while comparable separation efficiency can be achieved.

Both strands of siRNA have potential to guide posttranscriptional gene silencing in mammalian cells.

Despite the widespread application of RNA interference (RNAi) as a research tool for diverse purposes, the key step of strand selection of siRNAs during the formation of RNA-induced silencing complex (RISC) remains poorly understood. Here, using siRNAs targeted to the complementary region of Survivin and the effector protease receptor 1 (EPR-1), we show that both strands of the siRNA duplex can find their target mRNA and are equally eligible for assembly into Argonaute 2 (Ago2) of RISC in HEK293 cells. Transfection of the synthetic siRNA duplexes with different thermodynamic profiles or short hairpin RNA (shRNA) vectors that generate double-stranded RNAs (dsRNAs), permitting processing specifically from either the 5' or 3' end of the incipient siRNA, results in the degradation of the respective target mRNAs of either strand of the siRNA duplex with comparable efficiencies. Thus, while most RNAi reactions may follow the thermodynamic asymmetry rule in strand selection, our study suggests an exceptional mode for certain siRNAs in which both strands of the duplex are competent in sponsoring RNAi, and implies additional factors that might dictate the RNAi targets.

The proapoptotic activity of C-terminal domain of apoptosis-inducing factor (AIF) is separated from its N-terminal

Apoptosis-inducing factor (AIF) is a mitochondrial flavoprotein that mediates both NADH-oxidizing and caspase-independent apoptosis. Further, the proapoptotic activity of AIF is located in the C-terminus of AIF, although the precise minimum sequence responsible for apoptosis induction remains to be investigated. In the present study, we generated two truncated AIFs, AIFΔ1-480-FLAG, which is a FLAG-tagged C-terminal peptide comprising amino acids from 481 to 613, and AIF360-480 containing amino acids from 360 to 480 of AIF. We used confocal microscopy to demonstrate that both the truncated proteins are expressed and located in the cytoplasm of transfected cells. AIFΔ1-480 but not AIF360-480 induces apoptosis in transfected cells. We also found that the expression of AIFΔ1-480 could initiate the release of cytochrome c from the mitochondria. The suppression of caspase-9 via siRNA blocked the proapoptotic activity of AIFΔ1-480. Therefore, AIFΔ 1-480 is sufficient for inducing caspase-9-dependent apoptotic signaling, probably by promoting the release of cytochrome c. At last, we generated a chimeric immuno-AIFΔ 1-480 protein, which comprised an HER2 antibody, a Pseudomonas exotoxin A translocation domain and AIFΔ 1-480. Human Jurkat cells transfected with the immuno-AIFΔl-480 gene could express and secrete the chimeric protein, which selectively recognize and kill HER2-overexpressing tumor cells. Our study demonstrates the feasibility of the immuno-AIFΔl-480 gene as a novel approach to treating HER2-overexpressing cancers.