Artykuły w czasopismach: „Mlp84B”

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Clark, Kathleen A., Heather Lesage-Horton, Cuiping Zhao, Mary C. Beckerle i Douglas M. Swank. "Deletion of Drosophila muscle LIM protein decreases flight muscle stiffness and power generation". American Journal of Physiology-Cell Physiology 301, nr 2 (sierpień 2011): C373—C382. http://dx.doi.org/10.1152/ajpcell.00206.2010.

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Muscle LIM protein (MLP) can be found at the Z-disk of sarcomeres where it is hypothesized to be involved in sensing muscle stretch. Loss of murine MLP results in dilated cardiomyopathy, and mutations in human MLP lead to cardiac hypertrophy, indicating a critical role for MLP in maintaining normal cardiac function. Loss of MLP in Drosophila ( mlp84B) also leads to muscle dysfunction, providing a model system to examine MLP's mechanism of action. Mlp84B-null flies that survive to adulthood are not able to fly or beat their wings. Transgenic expression of the mlp84B gene in the Mlp84B-null background rescues flight ability and restores wing beating ability. Mechanical analysis of skinned flight muscle fibers showed a 30% decrease in oscillatory power production and a slight increase in the frequency at which maximum power is generated for fibers lacking Mlp84B compared with rescued fibers. Mlp84B-null muscle fibers displayed a 25% decrease in passive, active, and rigor stiffness compared with rescued fibers, but no significant decrease in isometric tension generation was observed. Muscle ultrastructure of Mlp84B-null muscle fibers is grossly normal; however, the null fibers have a slight decrease, 11%, in thick filament number per unit cross-sectional area. Our data indicate that MLP contributes to muscle stiffness and is necessary for maximum work and power generation.

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Stronach, B. E., S. E. Siegrist i M. C. Beckerle. "Two muscle-specific LIM proteins in Drosophila." Journal of Cell Biology 134, nr 5 (1.09.1996): 1179–95. http://dx.doi.org/10.1083/jcb.134.5.1179.

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The LIM domain defines a zinc-binding motif found in a growing number of eukaryotic proteins that regulate cell growth and differentiation during development. Members of the cysteine-rich protein (CRP) family of LIM proteins have been implicated in muscle differentiation in vertebrates. Here we report the identification and characterization of cDNA clones encoding two members of the CRP family in Drosophila, referred to as muscle LIM proteins (Mlp). Mlp60A encodes a protein with a single LIM domain linked to a glycine-rich region. Mlp84B encodes a protein with five tandem LIM-glycine modules. In the embryo, Mlp gene expression is spatially restricted to somatic, visceral, and pharyngeal muscles. Within the somatic musculature, Mlp84B transcripts are enriched at the terminal ends of muscle fibers, whereas Mlp60A transcripts are found throughout the muscle fibers. The distributions of the Mlp60A and Mlp84B proteins mirror their respective mRNA localizations, with Mlp84B enrichment occurring at sites of muscle attachment. Northern blot analysis revealed that Mlp gene expression is developmentally regulated, showing a biphasic pattern over the course of the Drosophila life cycle. Peaks of expression occur late in embryogenesis and during metamorphosis, when the musculature is differentiating. Drosophila Mlp60A and Mlp84B, like vertebrate members of the CRP family, have the ability to associate with the actin cytoskeleton when expressed in rat fibroblast cells. The temporal expression and spatial distribution of muscle LIM proteins in Drosophila are consistent with a role for Mlps in myogenesis, late in the differentiation pathway.

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Stronach, Beth E., Patricia J. Renfranz, Brenda Lilly i Mary C. Beckerle. "Muscle LIM Proteins Are Associated with Muscle Sarcomeres and Require dMEF2 for Their Expression during DrosophilaMyogenesis". Molecular Biology of the Cell 10, nr 7 (lipiec 1999): 2329–42. http://dx.doi.org/10.1091/mbc.10.7.2329.

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A genetic hierarchy of interactions, involving myogenic regulatory factors of the MyoD and myocyte enhancer-binding 2 (MEF2) families, serves to elaborate and maintain the differentiated muscle phenotype through transcriptional regulation of muscle-specific target genes. Much work suggests that members of the cysteine-rich protein (CRP) family of LIM domain proteins also play a role in muscle differentiation; however, the specific functions of CRPs in this process remain undefined. Previously, we characterized two members of the Drosophila CRP family, the muscle LIM proteins Mlp60A and Mlp84B, which show restricted expression in differentiating muscle lineages. To extend our analysis ofDrosophila Mlps, we characterized the expression of Mlps in mutant backgrounds that disrupt specific aspects of muscle development. We show a genetic requirement for the transcription factor dMEF2 in regulating Mlp expression and an ability of dMEF2 to bind, in vitro, to consensus MEF2 sites derived from those present inMlp genomic sequences. These data suggest that theMlp genes may be direct targets of dMEF2 within the genetic hierarchy controlling muscle differentiation. Mutations that disrupt myoblast fusion fail to affect Mlp expression. In later stages of myogenic differentiation, which are dedicated primarily to assembly of the contractile apparatus, we analyzed the subcellular distribution of Mlp84B in detail. Immunofluorescent studies revealed the localization of Mlp84B to muscle attachment sites and the periphery of Z-bands of striated muscle. Analysis of mutations that affect expression of integrins and α-actinin, key components of these structures, also failed to perturb Mlp84B distribution. In conclusion, we have used molecular epistasis analysis to position Mlp function downstream of events involving mesoderm specification and patterning and concomitant with terminal muscle differentiation. Furthermore, our results are consistent with a structural role for Mlps as components of muscle cytoarchitecture.

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Mery, A., O. Taghli-Lamallem, K. A. Clark, M. C. Beckerle, X. Wu, K. Ocorr i R. Bodmer. "The Drosophila muscle LIM protein, Mlp84B, is essential for cardiac function". Journal of Experimental Biology 211, nr 1 (1.01.2008): 15–23. http://dx.doi.org/10.1242/jeb.012435.

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Clark, K. A., J. M. Bland i M. C. Beckerle. "The Drosophila muscle LIM protein, Mlp84B, cooperates with D-titin to maintain muscle structural integrity". Journal of Cell Science 120, nr 12 (22.05.2007): 2066–77. http://dx.doi.org/10.1242/jcs.000695.

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Clark, Kathleen A., i Julie L. Kadrmas. "Drosophila melanogastermuscle LIM protein and alpha-actinin function together to stabilize muscle cytoarchitecture: A potential role for Mlp84B in actin-crosslinking". Cytoskeleton 70, nr 6 (18.04.2013): 304–16. http://dx.doi.org/10.1002/cm.21106.

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Nishiyama, So-ichiro, Daisuke Suzuki, Yasuaki Itoh, Kazuho Suzuki, Hirotaka Tajima, Akihiro Hyakutake, Michio Homma, Susan M. Butler-Wu, Andrew Camilli i Ikuro Kawagishi. "Mlp24 (McpX) of Vibrio cholerae Implicated in Pathogenicity Functions as a Chemoreceptor for Multiple Amino Acids". Infection and Immunity 80, nr 9 (2.07.2012): 3170–78. http://dx.doi.org/10.1128/iai.00039-12.

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ABSTRACTThe chemotaxis ofVibrio cholerae, the causative agent of cholera, has been implicated in pathogenicity. The bacterium has more than 40 genes for methyl-accepting chemotaxis protein (MCP)-like proteins (MLPs). In this study, we found that glycine and at least 18l-amino acids, including serine, arginine, asparagine, and proline, serve as attractants to the classical biotype strain O395N1. Based on the sequence comparison withVibrio parahaemolyticus, we speculated that at least 17 MLPs ofV. choleraemay mediate chemotactic responses. Among them, Mlp24 (previously named McpX) is required for the production of cholera toxin upon mouse infection.mlp24deletion strains of both classical and El Tor biotypes showed defects in taxis toward several amino acids, which were complemented by the expression of Mlp24. These amino acids enhanced methylation of Mlp24. Serine, arginine, asparagine, and proline were shown to bind directly to the periplasmic fragment of Mlp24. The structural information of its closest homolog, Mlp37, predicts that Mlp24 has two potential ligand-binding pockets per subunit, the membrane distal of which was suggested, by mutational analyses, to be involved in sensing of amino acids. These results suggest that Mlp24 is a chemoreceptor for multiple amino acids, including serine, arginine, and asparagine, which were previously shown to stimulate the expression of several virulence factors, implying that taxis toward a set of amino acids plays critical roles in pathogenicity ofV. cholerae.

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PIASECKI, Adam, Jakub JURASZ i Rajmund SKOWRON. "FORECASTING SURFACE WATER LEVEL FLUCTUATIONS OF LAKE SERWY (NORTHEASTERN POLAND) BY ARTIFICIAL NEURAL NETWORKS AND MULTIPLE LINEAR REGRESSION". Journal of Environmental Engineering and Landscape Management 25, nr 4 (21.12.2017): 379–88. http://dx.doi.org/10.3846/16486897.2017.1303498.

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The aim of this study is to assess the possibility of forecasting water level fluctuations in a relatively small (<100 km2), post-glacial lake located in a temperate climate zone by means of artificial neural networks and multiple linear regression. The area of study was Lake Serwy, located in northeastern Poland. Two artificial neural network (ANN) multilayer perceptron (MLP) and multiple linear regression (MLR) models were built. The following explanatory variables were considered: maximal and minimal temperature (Tmax, Tmin) wind speed (WS), vertical circulation (VC) and water level from previous periods (WL). Additionally, a binary variable describing the period of the year (winter, summer) has been considered in one of the two MLP and MLR models. The forecasting models have been assessed based on selected criteria: mean absolute percentage error (MAPE), root mean squared error (RMSE), coefficient of determination (R2) and mean biased error. Considering their values and absolute deviations from observed values it was concluded that the ANN model using an additional binary variable (MLP_B+) has the best forecasting performance. Absolute deviations from observed values were the determining factor which made this model the most efficient. In the case of the MLP_B+ model, those values were about 10% lower than in other models. The conducted analyses indicated good performance of ANN networks as a forecasting tool for relatively small lakes located in temperate climate zones. It is acknowledged that they enable water level forecasting with greater precision and lower absolute deviations than the use of multiple linear regression models.

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Filatov, P. V., A. E. Kalinina, T. R. Kudryashova, A. O. Gorbunova, A. A. Kryukov, O. B. Ivanchenko, E. B. Aronova i A. P. Yurkov. "The effect of inoculation with Rhizophagus irregularis on the expression level of phosphate transporter genes in the roots of Medicago lupulina under conditions of low phosphorus level in the substrate". IOP Conference Series: Earth and Environmental Science 1096, nr 1 (1.10.2022): 012004. http://dx.doi.org/10.1088/1755-1315/1096/1/012004.

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Abstract The dynamics of expression of some genes responsible for phosphorus transport (PT1, PT2, PT4, ATP1) at different developmental stages of Medicago lupulina in roots inoculated and uninoculated with AM fungus were analyzed. The levels of MtPT1 and MtPT2 transcripts were decreased under condition of AM symbiosis development. For the first time it is in M. lupulina AM roots that MlATP1 expression has been analyzed. The dynamics of AM-specific MlPT4 and MlATP1 expression depended on developmental stage of the host plant. The key changes in gene expression were observed at the stemming stage of M. lupulina plants.

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Modarres, R. "Multi-criteria validation of artificial neural network rainfall-runoff modeling". Hydrology and Earth System Sciences Discussions 5, nr 6 (2.12.2008): 3449–77. http://dx.doi.org/10.5194/hessd-5-3449-2008.

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Abstract. In this study we propose a comprehensive multi-criteria validation test for rainfall-runoff modeling by artificial neural networks. This study applies 17 global statistics and 3 additional non-parametric tests to evaluate the ANNs. The weakness of global statistics for validation of ANN is demonstrated by rainfall-runoff modeling of the Plasjan Basin in the western region of the Zayandehrud watershed, Iran. Although the global statistics showed that the multi layer perceptron with 4 hidden layers (MLP4) is the best ANN for the basin comparing with other MLP networks and empirical regression model, but the non-parametric tests illustrate that neither the ANNs nor the regression model are able to reproduce the probability distribution of observed runoff in validation phase. However, the MLP4 network is the best network to reproduce the mean and variance of the observed runoff based on non-parametric tests. The performance of ANNs and empirical model was also demonstrated for low-medium and high flows. Although the MLP4 network gives the best performance among ANNs for low-medium and high flows based on different statistics but the empirical model shows better results. However, none of the models is able to simulate the frequency distribution of low-medium and high flows according to non-parametric tests. This study illustrates that the modelers should select appropriate and relevant evaluation measures from the set of existing metrics based on the particular requirements of each individual applications.

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Modarres, R. "Multi-criteria validation of artificial neural network rainfall-runoff modeling". Hydrology and Earth System Sciences 13, nr 3 (19.03.2009): 411–21. http://dx.doi.org/10.5194/hess-13-411-2009.

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Abstract. In this study we propose a comprehensive multi-criteria validation test for rainfall-runoff modeling by artificial neural networks. This study applies 17 global statistics and 3 additional non-parametric tests to evaluate the ANNs. The weakness of global statistics for validation of ANN is demonstrated by rainfall-runoff modeling of the Plasjan Basin in the western region of the Zayandehrud watershed, Iran. Although the global statistics showed that the multi layer perceptron with 4 hidden layers (MLP4) is the best ANN for the basin comparing with other MLP networks and empirical regression model, the non-parametric tests illustrate that neither the ANNs nor the regression model are able to reproduce the probability distribution of observed runoff in validation phase. However, the MLP4 network is the best network to reproduce the mean and variance of the observed runoff based on non-parametric tests. The performance of ANNs and empirical model was also demonstrated for low, medium and high flows. Although the MLP4 network gives the best performance among ANNs for low, medium and high flows based on different statistics, the empirical model shows better results. However, none of the models is able to simulate the frequency distribution of low, medium and high flows according to non-parametric tests. This study illustrates that the modelers should select appropriate and relevant evaluation measures from the set of existing metrics based on the particular requirements of each individual applications.

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Takahashi, Yohei, So-ichiro Nishiyama, Ikuro Kawagishi i Katsumi Imada. "Structural basis of the binding affinity of chemoreceptors Mlp24p and Mlp37p for various amino acids". Biochemical and Biophysical Research Communications 523, nr 1 (luty 2020): 233–38. http://dx.doi.org/10.1016/j.bbrc.2019.12.055.

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Niso, Mauro, Joanna Kopecka, Francesca Serena Abatematteo, Francesco Berardi, Chiara Riganti i Carmen Abate. "Multifunctional thiosemicarbazones targeting sigma receptors: in vitro and in vivo antitumor activities in pancreatic cancer models". Cellular Oncology 44, nr 6 (29.09.2021): 1307–23. http://dx.doi.org/10.1007/s13402-021-00638-5.

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Abstract Purpose Association of the metal chelating portion of thiosemicarbazone with the cytotoxic activity of sigma-2 receptors appears a promising strategy for the treatment of pancreatic tumors. Here, we developed a novel sigma-2 receptor targeting thiosemicarbazone (FA4) that incorporates a moiety associated with lysosome destabilization and ROS increase in order to design more efficient antitumor agents. Methods The density of sigma receptors in pancreatic cancer cells was evaluated by flow cytometry. In these cells, cytotoxicity (MTT assay) and activation of ER- and mitochondria-dependent cell death pathways (mRNA expression of GRP78, ATF6, IRE1, PERK; ROS levels by MitoSOX and DCFDA-AM; JC-1 staining) induced by the thiosemicarbazones FA4, MLP44, PS3 and ACthio-1, were evaluated. The expression of autophagic proteins (ATG5, ATG7, ATG12, beclin, p62 and LC3-I) was also studied. In addition, the in vivo effect of FA4 in xenograft models with and without gemcitabine challenge was investigated. Results We found that FA4 exerted a more potent cytotoxicity than previously studied thiosemicarbazones (MLP44, PS3 and ACthio-1), which were found to display variable effects on the ER or the mitochondria-dependent pro-apoptotic axis. By contrast, FA4 activated pro-apoptotic pathways and decreased autophagy, except in MiaPaCa2 cells, in which autophagic proteins were expressed at lower levels and remained unmodified by FA4. FA4 treatment of PANC-1 xenografted mouse models, poorly responsive to conventional chemotherapy, significantly reduced tumor volumes and increased intratumor apoptosis compared to gemcitabine, with no signs of toxicity. Conclusions Our data indicate that FA4 exhibits encouraging activity in pancreatic cancer cells unresponsive to gemcitabine. These results warrant further investigation in patient-derived pancreatic cancers, and hold promise for the development of therapies that can more efficiently target the specific characteristics of individual tumor types.

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Yurkov, Andrey, Alexey Kryukov, Anastasia Gorbunova, Andrey Sherbakov, Ksenia Dobryakova, Yulia Mikhaylova, Alexey Afonin i Maria Shishova. "AM-Induced Alteration in the Expression of Genes, Encoding Phosphorus Transporters and Enzymes of Carbohydrate Metabolism in Medicago lupulina". Plants 9, nr 4 (10.04.2020): 486. http://dx.doi.org/10.3390/plants9040486.

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Plant–microbe interactions, including those of arbuscular mycorrhiza (AM), have been investigated for a wide spectrum of model plants. The present study focuses on an analysis of gene expression that encodes phosphate and sugar transporters and carbohydrate metabolic enzymes in a new model plant, the highly mycotrophic Medicago lupulina MLS-1 line under conditions of phosphorus deficiency and inoculation with Rhizophagus irregularis. Expression profiles were detected by RT-PCR at six plant stages of development (second leaf, third leaf, shooting, axillary shoot branching initiation, axillary shoot branching, flowering initiation). In comparison to control (without AM), the variant with AM inoculation exhibited a significant elevation of transcription levels of carbohydrate metabolic enzymes (MlSUS, MlHXK1) and sucrose transporters (MlSUC4) in M. lupulina leaves at the shooting stage. We suggest that this leads to a significant increase in the frequency of AM infection, an abundance of mycelium in roots and an increase in AM efficiency (which is calculated by the fresh weight of aerial parts and roots at the axillary shoot branching initiation stage). In roots, the specificity of MlPT4 and MlATP1 gene expressions were revealed for effective AM symbiosis. The level of MlPT4 transcripts in AM roots increased more than tenfold in comparison to that of non-specific MlPT1 and MlPT2. For the first time, MlPT1 expression was shown to increase sharply against MlPT2 in M. lupulina roots without AM at the shooting initiation stage. A significant increase in MlRUB expression was revealed at late stages in the host plant’s development, during axillary shoot branching and flowering initiation. The opposite changes characterized MlHXK1 expression. Alteration in MlHXK1 gene transcription was the same, but was more pronounced in roots. The obtained results indicate the importance of genes that encode phosphate transporters and the enzymes of carbohydrate metabolism for effective AM development at the shooting stage in the host plant.

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Martinez-Canamero, M., C. Ortiz-Codorniu, A. L. Extremera, J. Munoz-Dorado i J. M. Arias. "mlpB, a gene encoding a new lipoprotein in Myxococcus xanthus". Journal of Applied Microbiology 92, nr 1 (styczeń 2002): 134–39. http://dx.doi.org/10.1046/j.1365-2672.2002.01517.x.

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Takahashi, Yohei, Kazuma Sumita, Yumiko Uchida, So-ichiro Nishiyama, Ikuro Kawagishi i Katsumi Imada. "2P004 Structure of a chemoreceptor protein of Vibrio cholerae, Mlp24, and its ligand complex(01A. Protein: Structure,Poster)". Seibutsu Butsuri 53, supplement1-2 (2013): S159. http://dx.doi.org/10.2142/biophys.53.s159_4.

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Ito, Y., A. Hyakutake, N. Nishioka, M. Homma i I. Kawagishi. "2P242 Identification of a Vibrio cholerae chemoreceptor-like protein Mlp24 involved in taxis to serine and other amino acids". Seibutsu Butsuri 44, supplement (2004): S170. http://dx.doi.org/10.2142/biophys.44.s170_2.

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Xu, Wenqiang, Haoran Bi, Hong Peng, Ling Yang, Hongwei He, Guiming Fu, Yuhuan Liu i Yin Wan. "Fermentative Production of Diacylglycerol by Endophytic Fungi Screened from Taxus chinensis var. mairei". Foods 12, nr 2 (14.01.2023): 399. http://dx.doi.org/10.3390/foods12020399.

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Diacylglycerol (DAG) production by microbial fermentation has broad development prospects. In the present study, five endophytic fungi which could accumulate DAG were screened from Taxus chinensis var. mairei by using potato dextrose agar plate and flask cultivation in potato dextrose broth culture medium. The strains were biologically identified based on morphological features and semi-quantitative PCR. The identification results indicated that the five strains belonged to different genera: Fusarium annulatum (F. annulatum, coded as MLP41), Trichoderma dorotheae (T. dorotheae, coded as MLG23), Colletotrichum aeschynomenes (C. aeschynomenes, coded as MLY23), Pestalotiopsis scoparia (P. scoparia, coded as MLY31W), and Penicillium cataractarum (P. cataractarum, coded as MLGP11). The crude lipids from the strains and their corresponding triacylglycerol, 1,2-DAG, and 1,3-DAG fractions separated via thin-layer chromatography were mainly composed of palmitic acid, stearic acid, oleic acid, and linoleic acid, which in total accounted for higher than 94% of the content. The effects of fermentation conditions on the DAG productivity were discussed, and the yields of DAG were determined based on the 1H NMR spectra of crude lipids. The highest total DAG yields of F. annulatum, T. dorotheae, C. aeschynomenes, P. scoparia, and P. cataractarum were 112.28, 126.42, 189.87, 105.61, and 135.56 mg/L, respectively. C. aeschynomenes had the strongest potential to produce DAG. The results showed that this may be a new promising route for the production of DAG via fermentation by specific endophytic fungi, such as C. aeschynomenes.

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Wang, Yanping, Li Yang, Xi Chen, Tiantian Ye, Bao Zhong, Ruijie Liu, Yan Wu i Zhulong Chan. "Major latex protein-like protein 43(MLP43) functions as a positive regulator during abscisic acid responses and confers drought tolerance inArabidopsis thaliana". Journal of Experimental Botany 67, nr 1 (27.10.2015): 421–34. http://dx.doi.org/10.1093/jxb/erv477.

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Haliloglu, G., I. Celik, K. K. Oguz, B. Anlar, P. Ozisik, N. Akalan, F. Soylemezoglu i in. "MLP04 Is there a link betweeen L-2-hydroxyglutaric aciduria and brain tumors? – report of two patients with medulloblastoma and glioblastoma multiforme". European Journal of Paediatric Neurology 11 (wrzesień 2007): 68. http://dx.doi.org/10.1016/s1090-3798(08)70504-x.

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Sumita, Kazumasa, Yumiko Utida, So-ichiro Nishiyama, Ikuro Kawagishi i Katsumi Imada. "1PT121 X-ray crystallographic analysis of a chemoreceptor protein of Vibrio cholerae, Mlp24(The 50th Annual Meeting of the Biophysical Society of Japan)". Seibutsu Butsuri 52, supplement (2012): S89. http://dx.doi.org/10.2142/biophys.52.s89_2.

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Rauf, Mamoona, Asim Ur-Rahman, Muhammad Arif, Humaira Gul, Aziz Ud-Din, Muhammad Hamayun i In-Jung Lee. "Immunomodulatory Molecular Mechanisms of Luffa cylindrica for Downy Mildews Resistance Induced by Growth-Promoting Endophytic Fungi". Journal of Fungi 8, nr 7 (29.06.2022): 689. http://dx.doi.org/10.3390/jof8070689.

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Downy mildew (DM), caused by P. cubensis, is harmful to cucurbits including luffa, with increased shortcomings associated with its control through cultural practices, chemical fungicides, and resistant cultivars; there is a prompt need for an effective, eco-friendly, economical, and safe biocontrol approach. Current research is therefore dealt with the biocontrol of luffa DM1 through the endophytic fungi (EF) consortium. Results revealed that T. harzianum (ThM9) and T. virens (TvA1) showed pathogen-dependent inducible metabolic production of squalene and gliotoxins by higher gene expression induction of SQS1/ERG9 (squalene synthase) and GliP (non-ribosomal peptide synthetase). Gene expression of lytic enzymes of EF was also induced with subsequently higher enzyme activities upon confrontation with P. cubensis. EF-inoculated luffa seeds showed efficient germination with enhanced growth potential and vigor of seedlings. EF-inoculated plants showed an increased level of growth-promoting hormone GA with higher gene expression of GA2OX8. EF-pre-inoculated seedlings were resistant to DM and showed an increased GSH content and antioxidant enzyme activities (SOD, CAT, POD). The level of MDA, H2O2, REL, and disease severity was reduced by EF. ACC, JA, ABA, and SA were overproduced along with higher gene expression of LOX, ERF, NCED2, and PAL. Expression of defense-marker genes (PPO, CAT2, SOD, APX, PER5, LOX, NBS-LRR, PSY, CAS, Ubi, MLP43) was also modulated in EF-inoculated infected plants. Current research supported the use of EF inoculation to effectively escalate the systemic immunity against DM corresponding to the significant promotion of induced systemic resistance (ISR) and systemic acquired resistance (SAR) responses through initiating the defense mechanism by SA, ABA, ET, and JA biosynthesis and signaling pathways in luffa.

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Monteiro, Rubens Teles, Rayany Magali da Rocha Santana, Ana Maria Ribeiro Bastos da Silva, Alex Leandro Andrade de Lucena, Léa Elias Mendes Carneiro Zaidan, Valdinete Lins da Silva i Daniella Carla Napoleão. "Degradation of the pharmaceuticals nimesulide and ibuprofen using photo-Fenton process: toxicity studies, kinetic modeling and use of artificial neural networks". Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental 22 (23.08.2018): 3. http://dx.doi.org/10.5902/2236117031563.

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The growth of pollution in aquatic environments increases every day, causing compounds like pharmaceuticas to be detected in surface waters. Thus, tecniques such as advanced oxidation processes (AOP) have been used to degrade this compounds. In this work, the efficiency of AOP in the degradation of nimesulide and ibuprofen pharmaceuticals was evaluated through chromatographic analysis as well as organic matter through the levels of chemical oxygen demand (COD) and total organic carbon (TOC). It was verified that the photo-Fenton process presented the bests results, degrading 89.70% of nimesulide and 93.35% of ibuprofen. This same process managed to reduce COD by 91.60% and mineralize 90.04% of the TOC. The kinetic study showed a good linear fit (R2=0.993) for the clustered kinetic model, as well as a good fit to the mathematical model of artificial neural networks (ANNs), with a value of R2=1.000 for the MLP4-4-1 BFGS 4567 model. Finally, the toxicity of the solution after treatment was verified against the seeds of Lactuta sativa, Cichorium endívia, Ocimum basilicum and American Hard grain. It was found that the seeds that received the solution before treatment had a lower germination amount than the ones where the post AOP treatment solution was added. Then, the root growth was evaluated, in which a relative toxic effect was observed.

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Takhashi, Yohei, Kazumasa Sumita, Yumiko Uchida, So-ichiro Nishiyama, Ikuro Kawagishi i Katsumi Imada. "3P015 Ligand recognition mechanism of Mlp24 and Mlp37, chemoreceptor proteins of Vibrio cholerae(01A. Protein: Structure,Poster,The 52nd Annual Meeting of the Biophysical Society of Japan(BSJ2014))". Seibutsu Butsuri 54, supplement1-2 (2014): S251. http://dx.doi.org/10.2142/biophys.54.s251_3.

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Ma, Zongyuan, Jialin C. Zheng, Tianzuo Li, Zhongcong Xie i Le Kang. "Janus Kinase Mediates Faster Recovery From Sevoflurane Anesthesia Than Isoflurane Anesthesia in the Migratory Locusts". Frontiers in Physiology 13 (30.03.2022). http://dx.doi.org/10.3389/fphys.2022.806746.

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Inhalation anesthetics isoflurane and sevoflurane have been widely used in clinical practice for anesthesia. However, the molecular mechanisms underlying the faster recovery from sevoflurane anesthesia than isoflurane anesthesia remain largely undetermined. Herein, we use RNA-seq, RNA interference, quantitative real-time PCR and western blotting to explore the mechanisms of recovery from isoflurane and sevoflurane anesthesia in the migratory locusts. Although the migratory locusts show similar anesthetic responses to these two chemicals in corresponding half-maximal effective concentrations (EC50s), the recovery from sevoflurane anesthesia is significantly faster than that for isoflurane anesthesia after 30 min of anesthetic exposure. Transcriptome analysis shows that those transcripts involved in cytoskeletal components, Janus kinase (JAK) pathway and cuticle protein are differentially expressed in locust brains in response to isoflurane and sevoflurane. RNAi knockdown confirms that Actin, Myosin-like protein 84B (Mlp84B), JAK and cuticle protein NCP56 do not affect anesthetic response of the locusts to these two chemical anesthetics. Moreover, actin, Mlp84B and NCP56 do not affect differential recovery from isoflurane and sevoflurane anesthesia, whereas RNAi knockdown of JAK and its partner STAT5B does not affect anesthetic recovery from isoflurane but elongates recovery duration from sevoflurane anesthesia. Thus, JAK may mediate faster recovery from sevoflurane anesthesia than from isoflurane anesthesia in the migratory locust. This finding provides novel insights into the molecular mechanism underlying faster recovery from sevoflurane anesthesia than isoflurane anesthesia.

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Takahashi, Yohei, So-ichiro Nishiyama, Kazumasa Sumita, Ikuro Kawagishi i Katsumi Imada. "Calcium Ions Modulate Amino Acid Sensing of the Chemoreceptor Mlp24 ofVibrio cholerae". Journal of Bacteriology 201, nr 9 (11.02.2019). http://dx.doi.org/10.1128/jb.00779-18.

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ABSTRACTBacteria sense environmental chemicals using chemosensor proteins, most of which are present in the cytoplasmic membrane. Canonical chemoreceptors bind their specific ligands in their periplasmic domain, and the ligand binding creates a molecular stimulus that is transmitted into the cytoplasm, leading to various cellular responses, such as chemotaxis and specific gene expression.Vibrio cholerae, the causative agent of cholera, contains about 44 putative sensor proteins, which are homologous to methyl-accepting chemotaxis proteins involved in chemotaxis. Two of them, Mlp24 and Mlp37, have been identified as chemoreceptors that mediate chemotactic responses to various amino acids. Although most of the residues of Mlp37 involved in ligand binding are conserved in Mlp24, these chemoreceptors bind the same ligands with different affinities. Moreover, they have distinct cellular roles. Here we determined a series of ligand complex structures of the periplasmic domains of Mlp24 (Mlp24p). The structures revealed that Ca2+binds to the loop that forms the upper wall of the ligand-binding pocket. Ca2+does not bind to the corresponding loop of Mlp37, implying that the structural difference of the loop may cause the ligand affinity difference. Isothermal titration calorimetry (ITC) measurements indicated that Ca2+changes the ligand binding affinity of Mlp24p. Furthermore, Ca2+affected chemotactic behaviors to various amino acids mediated by Mlp24. Thus, Ca2+is suggested to serve as a cosignal for the primary signal mediated by Mlp24p, andV. choleraefine-tunes its chemotactic behavior depending on the Ca2+concentration by modulating the ligand sensitivity of Mlp24.IMPORTANCEMlp24 and Mlp37 are homologous chemoreceptors ofVibrio choleraethat bind various amino acids. Although most of the residues involved in ligand interaction are conserved, these chemoreceptors show different affinities for the same ligand and play different cellular roles. A series of ligand complex structures of the periplasmic region of Mlp24 (Mlp24p) and following ITC analysis revealed that Ca2+binds to the loop of Mlp24p and modulates the ligand binding affinity of Mlp24p. Moreover, Ca2+changes the chemotactic behaviors mediated by Mlp24. We propose that Ca2+acts as a cosignal that modulates the affinity of Mlp24 for the primary signal, thereby changing the chemotactic behavior ofV. cholerae.

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Borz, S. A., M. Cheta, M. Birda i A. R. Proto. "Classifying Operational Events in Cable Yarding by a Machine Learning Application to GNSS-Collected Data: A Case Study on Gravity-Assisted Downhill Yarding". Series II: Forestry Wood Industry Agricultural Food Engineering, 28.06.2022, 13–32. http://dx.doi.org/10.31926/but.fwiafe.2022.15.64.1.2.

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Cable yarding remains an important option in steep terrain timber harvesting, a reason for which new or improved operational efficiency models are required to support science and practice. Developed traditionally, these models are known to require many resources, a reason for which new approaches to the problem were researched lately, mainly by the use of Global Navigation Satellite System (GNSS) data, and spatial and statistical inference systems. This study evaluates the possibility of using GNSS data and machine learning techniques to classify important cable yarding events in the time domain. Three classes were assumed by the study as being relevant for cable yarding operational setup, namely carriage moving in the uphill (MU) and downhill (MD) directions, as well as carriage stopped (S). Data collected by a consumer-grade GNSS unit was processed to extract some differential parameters which were coupled with GNSS motorial and geometric features to feed a Multi-Layer Perceptron Neural Network with Back propagation (MLPNNB) in a pre-evaluation phase which aimed at mining the data structure as a strategy to develop the best MLPNNB configuration for training and testing. Leg distance, difference in elevation, speed of the carriage, and difference in heading were used together and interchangeably in this phase, based on logical assumptions. As a result of pre-evaluation, a MLPNNB using all these datasets was found to be the best scenario. Based on this outcome, the data was split into a training (70%) and a testing (30%) subset, then the MLPNNB was used to learn and generalize on these subsets. The main results indicate that the MLPNNB had an excellent performance, with a classification accuracy of 98.7, 98.4, and 98.8% in the pre-evaluation, training, and testing phases, respectively. Log-loss errors were also found to be very low (5, 5.9, and 4.1%, respectively), indicating a high generalization capability of the MLPNNB model. Based on the results, the main conclusion of the study is that original and derived GNSS data coupled with machine learning techniques could prove to be an important tool for operational monitoring and cable yarding efficiency model development, mainly due to the possibility of working with large amounts of data.

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Grjibovski, A. M., A. A. Usynina, V. A. Postoev, O. A. Kharkova i JØ Odland. "Social variations in pregnancy outcomes in Murmansk county-one of the Northernmost European provinces". European Journal of Public Health 30, Supplement_5 (1.09.2020). http://dx.doi.org/10.1093/eurpub/ckaa165.1042.

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Abstract Background Pregnancy outcomes are widely used indicators of population wellbeing varying both between and within countries. The aim of this study was to assess social variations in preterm births and term small-for-gestation-age (SGA) infants in the Northernmost provinces of Europe - the Murmansk region - using the data from the first Russian population-based birth registry. Methods A registry-based study of 52 806 births in the Murmansk region for a 5-year period was performed. We studied the prevalence and social determinants of moderate-to-late preterm births (MLPTB, 224-258 days of gestation), very preterm births (VPTB, 196-223 days) and extremely preterm births (EPTB, 154-195 days) and term SGA for both weight and length births (SGAWL). Associations between social factors and pregnancy outcomes were studied by multivariable logistic regression. Results The prevalence of PTB was 6.9 with EPTB, VPTB and MLPTB constituting 0.3%, 0.6% and 6.0%, respectively. A total of 4.1% of infants were SGAWL. Women with primary, secondary and vocational education were 1.59 (95%CI:1.22-1.85), 1.33 (95%CI:1.20-1.48), 1.19 (95%CI:1.22-1.85) times more likely to have MLPTB than women with higher education. Corresponding values for VPTB were 1.65 (95%CI:0.88-3.08), 1.41 (95%CI:1.02-1.95) and 1.27 (95%CI:0.92-1.75), respectively. Single and cohabiting women had significantly elevated risk for MLPTB (ORs=1.47 (95%CI:1.30-1.66) and 1.39 (95%CI:1.26-1.44)) and VLPTB (ORs=2.00, 95% CI: 1.42-2.81 and 1.32, 95% CI: 0.97-1.79) compared to married women. Unmarried mothers were more likely to have SGAWL boys (OR = 1.60, 95% CI: 1.38-1.86) and SGAWL girls (OR = 1.51, 95%CI:1.31-1.76) compared to married women. Conclusions We observed significant social variations in pregnancy outcomes by maternal education and marital status in the Murmansk region. Registry data can be used as an effective tool for monitoring inequalities in pregnancy outcomes as indicators of social inequalities. Key messages We found significant social variations in pregnancy outcomes in the Northernmost province of Europe - the Murmansk county (Russia). Birth registry data can be used for monitoring of health inequalities in Russia.

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"Professional Baseball Players’ Knowledge and Attitudes about the Dental Screening Component of Spring Training Physicals". International Journal on Oral Health 2, nr 1 (20.06.2022). http://dx.doi.org/10.51626/ijoh.2022.02.00012.

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Objectives: Professional athletes have a high prevalence of dental pathology, a low rate of routine dental visits, and a poor understanding of how these factors can affect athletic performance. The purpose of this study is to assess perceptions and behaviors of professional baseball players, specifically minor league professional baseball players (MLPB), in taking care of their oral health. Methods: Spring Training physicals were performed for MLPB players; a dental screening examination component was included. Following the dental screening, each MLPB player was asked to complete a 9-question survey anonymously and voluntarily. These questions included: (1) demographics, (2) attitude/history regarding dental exams and cleanings, and (3) the player’s perception of the dental screening program. An oral health prevention component was also incorporated, in which MLPB players were given plaque disclosing tablets, educated verbally and provided a written explanation on their purpose and usage. Data were analyzed using descriptive statistics and Chi-square tests. Results: A total of 80 MLPB players received dental screening examinations and 42 completed the survey. Players completing the survey were equally represented between Hispanic and non-Hispanic. A significant relationship existed between whether the spring training physical was the main dentist visit and the length of time since last dental exam. Whether the spring training physical was the main dentist visit was also significantly associated with the length of time since last dental cleaning. A significant relationship existed between Hispanic players and Non-Hispanic players as to a belief that preventive education was a beneficial part of the pre-participation dental screening examination. Additionally, a significant relationship was found between Hispanic players and Non-Hispanic players as to having received dental disclosing tablets for take home use (a preventive measure) following a pre-participation dental screening examination. Conclusion: The results of this study suggest that oral health professionals and professional baseball organizations should consider implementing practices whereby they can modify perceptions and activities that contribute to good oral health, especially among Hispanic minor league professional baseball players. One sentence summary: Oral disease prevention education is important for professional athletes, especially among Hispanic minor league professional baseball players.

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Gang, Wang, Song Jin Ling, Feng Jia Yin, Jia Dong Yan i Zhao Yan. "Developing of neuro-swarm system to estimate the undrained shear strength of soil by CPT data". Journal of Intelligent & Fuzzy Systems, 21.12.2022, 1–12. http://dx.doi.org/10.3233/jifs-221058.

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In this study, a novel hybrid metaheuristic model was developed to forecast the undrained soil shear (USS) property from cone penetration test (CPT) data (data from bore log sample from 70 different sites in Louisiana). This algorithm produced with the integration of grey wolf optimization (GWO) and multilayer perceptron neural network (MLP), named GWO - MLP, where different numbers of hidden layers were tested (1 to 4). The duty of optimization algorithm was to determine the optimal number of neurons in each hidden layer. To this objective, the system comprised five inputs entitled sleeve friction, cone tip persistence, liquid limit, plastic limitation, too much weight, and USS as outcome. The developed models for forecasting the USS of soil show the proposed best models have R2 at 0.9134 and 0.9236 in the training and predicting stage. Although the total ranking score of GWO-MLP2 and GWO-MLP4 is equal, the OBJ value shows that GWO-MLP4 has better performance than GWO-MLP2. In this case, considering the time of model running and a greater number of hidden layers suggests that GWO-MLP2 could be most appropriate. Therefore, the GWO-MLP3 model outperforms other GWO-MLP networks in the training and testing phase.

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Wette, Stefan G., Nigel P. Birch, Matthias Soop, Martina Zügel, Robyn M. Murphy, Graham D. Lamb i Heather K. Smith. "Expression of titin-linked putative mechanosensing proteins in skeletal muscle after power resistance exercise in resistance-trained men". Journal of Applied Physiology, 24.12.2020. http://dx.doi.org/10.1152/japplphysiol.00711.2020.

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Little is known about the molecular responses to power resistance exercise that lead to skeletal muscle remodeling and enhanced athletic performance. We assessed the expression of titin-linked putative mechanosensing proteins implicated in muscle remodeling: muscle ankyrin repeat proteins (Ankrd1, Ankrd2 and Ankrd23), muscle-LIM proteins (MLP), muscle RING-finger protein-1 (MuRF-1), and associated myogenic proteins (MyoD1, myogenin, and myostatin) in skeletal muscle in response to power resistance exercise with or without a post-exercise meal, in fed, resistance-trained men. A muscle sample was obtained from the vastus lateralis of seven healthy men on separate days, 3h after 90 min of rest (Rest) or power resistance exercise with (Ex+Meal) or without (Ex) a post-exercise meal, to quantify mRNA and protein levels. The levels of phosphorylated HSP27 (pHSP27-Ser15) and cytoskeletal proteins in muscle and creatine kinase activity in serum were also assessed. The exercise increased (P≤0.05) pHSP27-Ser15 (~6-fold) and creatine kinase (~50%), whereas cytoskeletal protein levels were unchanged (P>0.05). Ankrd1 (~15-fold) and MLP (~2-fold) mRNA increased, whereas Ankrd2, Ankrd23, MuRF-1, MyoD1, and myostatin mRNA were unchanged. Ankrd1 (~3-fold, Ex) and MLPb (~20-fold, Ex+Meal) protein increased, but MLPa, Ankrd2, Ankrd23, and the myogenic proteins were unchanged. The post-exercise meal did not affect the responses observed. Power resistance exercise, as performed in practice, induced subtle early responses in the expression of MLP and Ankrd1, yet had little effect on the other proteins investigated. These findings suggest possible roles for MLP and Ankrd1 in the remodeling of skeletal muscle in individuals who regularly perform this type of exercise.

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