Group Of Vectors Research Articles

Odorant Receptor Desensitization in Insects.

Insects and other arthropods transmit devastating human diseases, and these vectors use chemical senses to target humans. Understanding how these animals detect, respond, and adapt to volatile odorants may lead to novel ways to disrupt host localization or mate recognition in these pests. The past decade has led to remarkable progress in understanding odorant detection in arthropods. Insects use odorant-gated ion channels, first discovered in Drosophila melanogaster, to detect volatile chemicals. In flies, 60 “tuning” receptor subunits combine with a common subunit, Orco (odorant receptor coreceptor) to form ligand-gated ion channels. The mechanisms underlying odorant receptor desensitization in insects are largely unknown. Recent work reveals that dephosphorylation of serine 289 on the shared Orco subunit is responsible for slow, odor-induced receptor desensitization. Dephosphorylation has no effect on the localization of the receptor protein, and activation of the olfactory neurons in the absence of odor is sufficient to induce dephosphorylation and desensitization. These findings reveal a major component of receptor modulation in this important group of disease vectors, and implicate a second messenger feedback mechanism in this process.

Householder QR Factorization With Randomization for Column Pivoting (HQRRP)

A fundamental problem when adding column pivoting to the Householder QR factorization is that only about half of the computation can be cast in terms of high performing matrix-matrix multiplications, which greatly limits the benefits that can be derived from so-called blocking of algorithms. This paper describes a technique for selecting groups of pivot vectors by means of randomized projections. It is demonstrated that the asymptotic flop count for the proposed method is $2mn^2 - (2/3)n^3$ for an $m\times n$ matrix, identical to that of the best classical unblocked Householder QR factorization algorithm (with or without pivoting). Experiments demonstrate acceleration in speed of close to an order of magnitude relative to the geqp3 function in LAPACK, when executed on a modern CPU with multiple cores. Further, experiments demonstrate that the quality of the randomized pivot selection strategy is roughly the same as that of classical column pivoting. The described algorithm is made available under open sou...

MiR-31 Regulates Rho-Associated Kinase-Myosin Light Chain (ROCK-MLC) Pathway and Inhibits Gastric Cancer Invasion: Roles of RhoA.

BackgroundThis study evaluated how the expression of miR-31 can be used to detect gastric cancer (GC) to help illuminate the role of miR-31 and RhoA in GC cells.Material/MethodsWe carried out our experiments using tissue specimens from 70 GC patients. The relative expression of miR-31 and RhoA mRNA in tissues and cells was detected by RT-PCR. The expression level of RhoA protein was detected by immunohistochemistry. GC cell line BGC-823 was transfected with six groups of vectors: blank group, NC (negative control) group, miR-31 mimics group, miR-31 mimics + RhoA group, miR-31 mimics + ROCK group, and miR-31 mimics + MLCK agonist group. AGS cells were also transfected with six groups of vectors: blank group, NC group, miR-31 inhibitor group, miR-31 inhibitor + RhoA siRNA group, miR-31 inhibitor + ROCK siRNA group, and miR-31 inhibitor + MLCK inhibitor group. Transwell assay was performed to detect the invasion and migration of cells. The protein expression in different transfected groups was detected using Western blotting.ResultsGC tissues exhibited significantly lower levels of miR-31 expression compared to pericarcinous tissues (p<0.01). Moreover, a significantly higher expression of RhoA in GC tissues was observed (p<0.05). MiR-31 inhibited RhoA expression by binding to 3′UTR of mRNA, whereas miR-31 mimics significantly decreased the number of invaded and migrated cells (p<0.05). The activation of RhoA, ROCK, and phosphorylation of MLC remarkably exacerbate the invasion and migration ability of GC cells (p<0.05).ConclusionsWe found miR-31 could downregulate the ROCK/MLC pathway by inhibiting the expression of RhoA in order to suppress the invasion and migration of GC cells.

Patch Autocorrelation Features: a translation and rotation invariant approach for image classification

The autocorrelation is often used in signal processing as a tool for finding repeating patterns in a signal. In image processing, there are various image analysis techniques that use the autocorrelation of an image in a broad range of applications from texture analysis to grain density estimation. This paper provides an extensive review of two recently introduced and related frameworks for image representation based on autocorrelation, namely Patch Autocorrelation Features (PAF) and Translation and Rotation Invariant Patch Autocorrelation Features (TRIPAF). The PAF approach stores a set of features obtained by comparing pairs of patches from an image. More precisely, each feature is the euclidean distance between a particular pair of patches. The proposed approach is successfully evaluated in a series of handwritten digit recognition experiments on the popular MNIST data set. However, the PAF approach has limited applications, because it is not invariant to affine transformations. More recently, the PAF approach was extended to become invariant to image transformations, including (but not limited to) translation and rotation changes. In the TRIPAF framework, several features are extracted from each image patch. Based on these features, a vector of similarity values is computed between each pair of patches. Then, the similarity vectors are clustered together such that the spatial offset between the patches of each pair is roughly the same. Finally, the mean and the standard deviation of each similarity value are computed for each group of similarity vectors. These statistics are concatenated to obtain the TRIPAF feature vector. The TRIPAF vector essentially records information about the repeating patterns within an image at various spatial offsets. After presenting the two approaches, several optical character recognition and texture classification experiments are conducted to evaluate the two approaches. Results are reported on the MNIST (98.93%), the Brodatz (96.51%), and the UIUCTex (98.31%) data sets. Both PAF and TRIPAF are fast to compute and produce compact representations in practice, while reaching accuracy levels similar to other state-of-the-art methods.

Chromosomal inversions and ecotypic differentiation in Anopheles gambiae: the perspective from whole-genome sequencing.

The molecular mechanisms and genetic architecture that facilitate adaptive radiation of lineages remain elusive. Polymorphic chromosomal inversions, due to their recombination-reducing effect, are proposed instruments of ecotypic differentiation. Here, we study an ecologically diversifying lineage of Anopheles gambiae, known as the Bamako chromosomal form based on its unique complement of three chromosomal inversions, to explore the impact of these inversions on ecotypic differentiation. We used pooled and individual genome sequencing of Bamako, typical (non-Bamako) An.gambiae and the sister species Anopheles coluzzii to investigate evolutionary relationships and genomewide patterns of nucleotide diversity and differentiation among lineages. Despite extensive shared polymorphism and limited differentiation from the other taxa, Bamako clusters apart from the other taxa, and forms a maximally supported clade in neighbour-joining trees based on whole-genome data (including inversions) or solely on collinear regions. Nevertheless, FST outlier analysis reveals that the majority of differentiated regions between Bamako and typical An.gambiae are located inside chromosomal inversions, consistent with their role in the ecological isolation of Bamako. Exceptionally differentiated genomic regions were enriched for genes implicated in nervous system development and signalling. Candidate genes associated with a selective sweep unique to Bamako contain substitutions not observed in sympatric samples of the other taxa, and several insecticide resistance gene alleles shared between Bamako and other taxa segregate at sharply different frequencies in these samples. Bamako represents a useful window into the initial stages of ecological and genomic differentiation from sympatric populations in this important group of malaria vectors.

Cartier theory with coefficients

We develop a Cartier theory to describe formal groups with an action of a number ring A. Such formal groups are called formal A-modules. An important example of a formal A-module is the formal group of A-typical Witt vectors that generalize the big Witt vectors: instead of indexing over the non-zero natural numbers, we index over a subset of non-zero ideals of A. Using a variant of the A-typical Witt vectors, we define the A-typical Cartier ring $$\mathbb {E}_{A}$$ and prove that the category of formal A-modules is equivalent to the category of $$\mathbb {E}_{A}(R)$$ -modules under the assumption that the tangent space is finitely generated and projective.

Transmission of Xylella fastidiosa to Grapevine by the Meadow Spittlebug.

There is little information available on Xylella fastidiosa transmission by spittlebugs (Hemiptera, Cercopoidea). This group of insect vectors may be of epidemiological relevance in certain diseases, so it is important to better understand the basic parameters of X. fastidiosa transmission by spittlebugs. We used grapevines as a host plant and the aphrophorid Philaenus spumarius as a vector to estimate the effect of plant access time on X. fastidiosa transmission to plants; in addition, bacterial population estimates in the heads of vectors were determined and correlated with plant infection status. Results show that transmission efficiency of X. fastidiosa by P. spumarius increased with plant access time, similarly to insect vectors in another family (Hemiptera, Cicadellidae). Furthermore, a positive correlation between pathogen populations in P. spumarius and transmission to plants was observed. Bacterial populations in insects were one to two orders of magnitude lower than those observed in leafhopper vectors, and population size peaked within 3 days of plant access period. These results suggest that P. spumarius has either a limited number of sites in the foregut that may be colonized, or that fluid dynamics in the mouthparts of these insects is different from that in leafhoppers. Altogether our results indicate that X. fastidiosa transmission by spittlebugs is similar to that by leafhoppers. In addition, the relationship between cell numbers in vectors and plant infection may have under-appreciated consequences to pathogen spread.

Development of a computer system for generating semantic template of a group of documents by using latent semantic analysis

The CS was developed by means of the Python programming language to generate a semantic template of a group of documents by the LSA method. The system contains eight software modules, each performs one stage of the LSA. The control module of the frequency word-document matrix and the measuring module of semantic distance between the template documents are unique. Adjustment of CS to the contents and structure of the document templates is performed by changing a set of modules. According to the research, the frequency matrix normalization enhances the resolution of the semantic template generated by using the LSA. It is proved that the removal of individual words improves the resolution of the generated semantic template and does not affect the semantic content. Application of semantic proximity of documents, the cosine of the difference of angles between the vector of a group of basic words and vectors of documents for evaluation allows increasing the resolution of the generated semantic template. To ensure the continuity of the LSA, the module of the frequency matrix analysis for compliance of excess (or equality) of the number of words over the number of documents was introduced in the CS. In the event of a mismatch, the module starts over the LSA process with a new set of words and documents after removal of the inappropriate document and related words.

Ecological differentiation of members of the Culex pipiens complex, potential vectors of West Nile virus and Rift Valley fever virus in Algeria.

BackgroundWe investigated the ecological differentiation of two members of the Culex pipiens complex, Cx. p. pipiens form pipiens and Cx. p. pipiens form molestus in three sites, El-Kala, M'Sila and Tinerkouk in Algeria. These two forms are the most widespread mosquito vectors in temperate regions exhibiting important behavioural and physiological differences. Nevertheless, this group of potential vectors has been poorly studied, particularly in North Africa.MethodsTen larval populations of Cx. p. pipiens were sampled from various above- and underground habitats in three zones representing the three bioclimatic regions in Algeria. The reproduction characteristics were also investigated in the laboratory to define the rates of autogeny and stenogamy. Identification of Cx. p. pipiens members present in Algeria was achieved using a molecular analysis with the microsatellite CQ11 locus.ResultsWe detected larvae of Cx. p. pipiens in all areas suggesting that the species is a ubiquitous mosquito well adapted to various environments. To our knowledge, this study provides the first molecular evidence of the presence of the Cx. p. pipiens form molestus and hybrids (molestus/pipiens) in Algeria with a high proportion of molestus form (48.3 %) in comparison with hybrids (36.8 %) and pipiens form (14.9 %).ConclusionsSome unexpected correlations between the proportion of forms pipiens, molestus and hybrids, and mosquito biological characteristics were observed suggesting some epigenetic effects controlling Cx. p. pipiens mating and reproduction. Consequences for pathogen transmission are discussed.Electronic supplementary materialThe online version of this article (doi:10.1186/s13071-016-1725-9) contains supplementary material, which is available to authorized users.

SAR Images Change Detection Based on Spatial Coding and Nonlocal Similarity Pooling

Accurate detection of the changed areas and effective speckle suppression are the main difficulties in synthetic aperture radar (SAR) image change detection (CD). The available feature extraction techniques for CD always ignore the spatial context correlation and are not robust to speckle noise. To overcome these drawbacks, we present a novel feature extraction technique that takes full advantage of sparse representation (SR) and nonlocal similarity of SAR images. First, each pixel in the difference image is represented by a feature vector, which is extracted using the sparse coding with a constructed robust discriminative dictionary. Next, a group of related feature vectors for each pixel can be generated according to the nonlocal similarity of SAR image. Finally, the discriminative change feature is obtained by means of the pooling, which can extract significant change information from the feature group. This method not only suppresses the speckle noise effectively but also improves the discrimination of the extracted features. The experimental results verify the superior performance of the proposed method on several real SAR image data sets and simulated image pairs.

D2 Region of the 28S RNA Gene: A Too-Conserved Fragment for Inferences on Phylogeny of South American Triatomines.

The brasiliensis complex is composed of five triatomine species, and different approaches suggest that Triatoma lenti and Triatoma petrochiae may be the new members. Therefore, this study sought to analyze the phylogenetic relationships within this complex by means of the D2 region of the 28S RNA gene, and to analyze the degree of polymorphism and phylogenetic significance of this gene for South American triatomines. Phylogenetic analysis by using sequence fragments of the D2 domain did not allow to perform phylogenetic inferences on species within the brasiliensis complex, because the gene alignment composed of a matrix with 37 specimens exhibited only two variable sites along the 567 base pairs used. Furthermore, if all South American species are included, only four variable sites were detected, reflecting the high degree of gene conservation. Therefore, we do not recommend the use of this gene for phylogenetic reconstruction for this group of Chagas disease vectors.

Graphene oxide–cationic polymer conjugates: Synthesis and application as gene delivery vectors

Nanomedicine as the interface between nanotechnology and medical sciences is a new area that has attracted the attention of vast groups of researchers. Carbon nanomaterials are common platform for synthesis of nanoparticles for biomedical applications due to their low cytotoxicity and feasible internalization into mammalian cell lines (Yang et al., 2007; Arora et al., 2014; Oh and Park, 2014). Synthesis of vectors based on various cationic polymers polyethylenimine (PEI), polypropylenimine (PPI) and polyamidoamine (PAMAM) and their derivatives were considered as a strategy for transferring plasmid DNA and treatment of genetic diseases. Considering the low cytotoxicity of graphene, chemical modification of its surface has led to fabrication of novel gene delivery systems based on graphene and graphene oxide. Herein we report the synthesis of three groups of vectors based on conjugation of graphene oxide (GO) with alkylated derivatives of three different cationic polymers (polyethylenimine (PEI), polypropylenimine (PPI) and polyamidoamine (PAMAM)) through different linkers including surface carboxyl group, glycine and spermidine. Two main challenges in design of gene delivery vectors is decreasing cytotoxicity while improving the transfection efficiency. All synthesized vectors showed significantly lower cellular toxicity compared to bare polymer. A plasmid encoding green fluorescent protein (GFP) was used to evaluate the transfection efficiency of nanoparticles both qualitatively using live cell fluorescent imaging and quantitatively using flow cytometry and each vector was compared to its polymer base. Most successful conjugation strategy was observed in the case of PEI conjugates among which most efficient vector was PEI–GO conjugate bearing glycine linker. This vector was 9 fold more effective in terms of the percent of EGFP transfected cells.

Characterization of basic amino acids-conjugated PAMAM dendrimers as gene carriers for human adipose-derived mesenchymal stem cells

Since mesenchymal stem cells (MSCs) can self-renew and differentiate into multiple cell types, the delivery of genes to this type of cell can be an important tool in the emerging field of tissue regeneration and engineering. However, development of more efficient and safe nonviral vectors for gene delivery to stem cells in particular still remains a great challenge. In this study, we describe a group of nonviral gene delivery vectors, conjugated PAMAM derivatives (PAMAM-H-R, PAMAM-H-K, and PAMAM-H-O), displaying affinity toward human adipose-derived mesenchymal stem cells (AD-MSCs). Transfection efficiency using pDNA encoding for luciferase (Luc) and enhanced green fluorescent protein (EGFP), and cytotoxicity assays were performed in human AD-MSCs. The results show that transfection efficiencies of conjugated PAMAM derivatives are improved significantly compared to native PAMAM dendrimer, and that among PAMAM derivatives, cytotoxicity of PAMAM-H-K and PAMAM-H-O were very low. Also, treatment of human AD-MSCs to polyplex formation in conjugated PAMAM derivatives, their cellular uptake and localization were analyzed by flow cytometry and confocal microscopy.

Optimization on Extraction Engineering of the Anti - inflammatory Bioactive Materials from Ainsliaea Fragrans Champ

Ainsliaea fragrans Champ.(A.fragrans) is a traditional Chinese herbal, phenolic compounds was the major anti - inflammatory bioactive constituents. To improve the bioavailability and enhanced the curative effect of A.fragrans, the anti - inflammatory effect of phenolic acids and the “non-active” group of control vectors constitute a new biomedical material, which is of great significance to the treatment of diseases inflammation. Hence, in this thesis, regarding the total phenolic acid transfer rate as the indicator, L 9 (3 4 ) orthogonal design was used to optimize the extraction process of total Phenolic acid from A.fragrans by reflux extraction method on solvent dosage, extraction times and extraction time．The optimal extraction technology was as follows: 15 times of water volume, reflux extraction 3 times, extraction time 60 min. The result of pharmacological activity indicated anti-inflammatory effect: 95% ethanol extraction > water extraction > 30% ethanol extraction > 60% ethanol extraction.

Altering Entry Site Preference of Lentiviral Vectors into Neuronal Cells by Pseudotyping with Envelope Glycoproteins.

A lentiviral vector system provides a powerful strategy for gene therapy trials against a variety of neurological and neurodegenerative disorders. Pseudotyping of lentiviral vectors with different envelope glycoproteins not only confers the neurotropism to the vectors, but also alters the preference of sites of vector entry into neuronal cells. One major group of lentiviral vectors is a pseudotype with vesicular stomatitis virus glycoprotein (VSV-G) that enters preferentially cell body areas (somata/dendrites) of neurons and transduces them. Another group contains lentiviral vectors pseudotyped with fusion envelope glycoproteins composed of different sets of rabies virus glycoprotein and VSV-G segments that enter predominantly axon terminals of neurons and are transported through axons retrogradely to their cell bodies, resulting in enhanced retrograde gene transfer. This retrograde gene transfer takes a considerable advantage of delivering the transgene into neuronal cell bodies situated in regions distant from the injection site of the vectors. The rational use of these two vector groups characterized by different entry mechanisms will further extend the strategy for gene therapy of neurological and neurodegenerative disorders.

Les insectes comme vecteurs : systématique et biologie

Among the many complex relationships between insects and microorganisms such as viruses, bacteria and parasites, some have resulted in the establishment of biological systems within which the insects act as a biological vector for infectious agents. It is therefore advisable to understand the identity and biology of these vectors in depth, in order to define procedures for epidemiological surveillance and anti-vector control. The following are successively reviewed in this article: Anoplura (lice), Siphonaptera (fleas), Heteroptera (bugs: Cimicidae, Triatoma, Belostomatidae), Psychodidae (sandflies), Simuliidae (black flies), Ceratopogonidae (biting midges), Culicidae (mosquitoes), Tabanidae (horseflies) and Muscidae (tsetse flies, stable flies and pupipara). The authors provide a rapid overview of the morphology, systematics, development cycle and bio-ecology of each of these groups of vectors. Finally, their medical and veterinary importance is briefly reviewed.

Proliferation and differentiation of Trypanosoma cruzi inside its vector have a new trigger: redox status.

Trypanosoma cruzi proliferate and differentiate inside different compartments of triatomines gut that is the first environment encountered by T. cruzi. Due to its complex life cycle, the parasite is constantly exposed to reactive oxygen species (ROS). We tested the influence of the pro-oxidant molecules H2O2 and the superoxide generator, Paraquat, as well as, metabolism products of the vector, with distinct redox status, in the proliferation and metacyclogenesis. These molecules are heme, hemozoin and urate. We also tested the antioxidants NAC and GSH. Heme induced the proliferation of epimastigotes and impaired the metacyclogenesis. β-hematin, did not affect epimastigote proliferation but decreased parasite differentiation. Conversely, we show that urate, GSH and NAC dramatically impaired epimastigote proliferation and during metacyclogenesis, NAC and urate induced a significant increment of trypomastigotes and decreased the percentage of epimastigotes. We also quantified the parasite loads in the anterior and posterior midguts and in the rectum of the vector by qPCR. The treatment with the antioxidants increased the parasite loads in all midgut sections analyzed. In vivo, the group of vectors fed with reduced molecules showed an increment of trypomastigotes and decreased epimastigotes when analyzed by differential counting. Heme stimulated proliferation by increasing the cell number in the S and G2/M phases, whereas NAC arrested epimastigotes in G1 phase. NAC greatly increased the percentage of trypomastigotes. Taken together, these data show a shift in the triatomine gut microenvironment caused by the redox status may also influence T. cruzi biology inside the vector. In this scenario, oxidants act to turn on epimastigote proliferation while antioxidants seem to switch the cycle towards metacyclogenesis. This is a new insight that defines a key role for redox metabolism in governing the parasitic life cycle.

모바일 멀티모달 센서 정보의 앙상블 학습을 이용한 장소 인식

Place awareness is an essential for location-based services that are widely provided to smartphone users. However, traditional GPS-based methods are only valid outdoors where the GPS signal is strong and also require symbolic place information of the physical location. In this paper, environmental sounds and images are used to recognize important aspects of each place. The proposed method extracts feature vectors from visual, auditory and location data recorded by a smartphone with built-in camera, microphone and GPS sensors modules. The heterogeneous feature vectors were then learned by an ensemble learning method that learns each group of feature vectors for each classifier respectively and votes to produce the highest weighted result. The proposed method is evaluated for place recognition using a data group of 3000 samples in six places and the experimental results show a remarkably improved recognition accuracy when using all kinds of sensory data comparing to results using data from a single sensor or audio-visual integrated data only.

Laplace Group Sensing for Acoustic Models

This paper presents the group sparse learning for acoustic models where a sequence of acoustic features is driven by Markov chain and each feature vector is represented by groups of basis vectors. The group of common bases represents the features across Markov states within a regression class. The group of individual basis compensates the intra-state residual information. Laplace distribution is used as the sparse prior of sensing weights for group basis representation. Laplace parameter serves as regularization parameter or automatic relevance determination which controls the selection of relevant bases for acoustic modeling. The groups of regularization parameters and basis vectors are estimated from training data by maximizing the marginal likelihood over sensing weights which is implemented by Laplace approximation using the Hessian matrix and the maximum a posteriori parameters. Model uncertainty is compensated through full Bayesian treatment. The connection of Laplace group sensing to lasso regularization is illustrated. Experiments on noisy speech recognition show the robustness of group sparse acoustic models in presence of different noise types and SNRs.

Insect vectors of plant pathogenic Mollicutes in the Euro-Mediterranean region

This paper embeds a review of insect vectors of Mollicutes plant pathogens in Europe and Middle East. A dissertation on systematic and phylogeny introduces the two groups of vectors: Auchenorrhyncha and Sternorrhyncha (Psyllidae). Aspects involving the differences in the transmission process of pathogens and the relationships of insect vectors and host plants have been considered. From an environmental point of view, flight activity, dispersal and spatial distribution have been dealt with in relationship with plant disease epidemiology. Finally, the main control and monitoring strategies have been discussed, along with the problem concerning alien species and quarantine regulations.