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Nazanin Haghighat Parviz Abdolmaleki Faezeh Ghanati Mehrdad Behmanesh Atefeh Payez 《Journal of plant physiology》2014
The effects of a static magnetic field (SMF) and high natural radioactivity (HR) on catalase and MAPK genes in Vicia faba were investigated. Soil samples with high natural radioactivity were collected from Ramsar in north Iran where the annual radiation absorbed dose from background radiation is higher than 20 mSv/year. The specific activity of the radionuclides of 232Th, 236Ra, and 40K was measured using gamma spectrometry. The seeds were planted either in the soil with high natural radioactivity or in the control soils and were then exposed to a SMF of 30 mT for 8 days; 8 h/day. Levels of expression of catalase and MAPK genes, catalase activity and H2O2 content were evaluated. The results demonstrated significant differences in the expression of catalase and MAPK genes in SMF- and HR-treated plants compared to the controls. An increase in catalase activity was accompanied by increased expression of its gene and accumulation of H2O2. Relative expression of the MAPK gene in treated plants, however, was lower than those of the controls. The results suggest that the response of V. faba plants to SMF and HR may be mediated by modification of catalase and MAPK. 相似文献
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Zeynab Roein Moazzam Hassanpour Asil Atefeh Sabouri Ahmad Reza Dadras 《Plant Systematics and Evolution》2014,300(3):493-503
Chrysanthemum is popular worldwide as cut flower, potted plant and perennial garden plant. This study used amplified fragment length polymorphism and phenotypic traits to assess genetic diversity and population structure in Chrysanthemum. Results for the phenotypic traits of ray floret number, tubular floret number, flower number, pedicel length, leaflet number on pedicel and days to visible flower bud had high level (i.e., >30 %) evaluations for genotypic coefficient of variation and phenotypic coefficient of variation; thus, heritability for various phenotypic traits ranged from 45.30 to 94.55 %. Phenotypic data clustered the genotypes into four separate groups. Twenty-five primer combinations were used for molecular analysis. On average, each primer combination produced 83.96 polymorphic DNA bands, ranging from 33 to 122 bands. Polymorphic percentage (99.3 %), polymorphism information content (0.43) and Shannon’s information index (0.45) evaluated high levels of genetic variation in the tested genotypes. The Neighbor-Joining (NJ) method grouped genotypes into six clusters, which were in part confirmed by principal coordinate analysis. A Bayesian structure analysis identified four clusters, in which 30 individuals were maintained within the admixed clusters. Results from this study provide appropriate information applicable to designing effective breeding programs and other analyses associated with future studies of Chrysanthemum. 相似文献
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Toru Hiratsuka Kalle H Sipilä Julio M Belmonte Seyedeh Atefeh Mobasseri Christina Philippeos Rui Dilão Fiona M Watt 《Molecular systems biology》2018,14(8)
Murine dermis contains functionally and spatially distinct fibroblast lineages that cease to proliferate in early postnatal life. Here, we propose a model in which a negative feedback loop between extracellular matrix (ECM) deposition and fibroblast proliferation determines dermal architecture. Virtual‐tissue simulations of our model faithfully recapitulate dermal maturation, predicting a loss of spatial segregation of fibroblast lineages and dictating that fibroblast migration is only required for wound healing. To test this, we performed in vivo live imaging of dermal fibroblasts, which revealed that homeostatic tissue architecture is achieved without active cell migration. In contrast, both fibroblast proliferation and migration are key determinants of tissue repair following wounding. The results show that tissue‐scale coordination is driven by the interdependence of cell proliferation and ECM deposition, paving the way for identifying new therapeutic strategies to enhance skin regeneration. 相似文献
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Atefeh Abdolmanafi Farida Cheriet Luc Duong Ragui Ibrahim Nagib Dahdah 《Journal of biophotonics》2020,13(1)
Intravascular optical coherence tomography (IV‐OCT) is a light‐based imaging modality with high resolution, which employs near‐infrared light to provide tomographic intracoronary images. Morbidity caused by coronary heart disease is a substantial cause of acute coronary syndrome and sudden cardiac death. The most common intracoronay complications caused by coronary artery disease are intimal hyperplasia, calcification, fibrosis, neovascularization and macrophage accumulation, which require efficient prevention strategies. OCT can provide discriminative information of the intracoronary tissues, which can be used to train a robust fully automatic tissue characterization model based on deep learning. In this study, we aimed to design a diagnostic model of coronary artery lesions. Particularly, we trained a random forest using convolutional neural network features to distinguish between normal and diseased arterial wall structure. Then, based on the arterial wall structure, fully convolutional network is designed to extract the tissue layers in normal cases, and pathological tissues regardless of lesion type in pathological cases. Then, the type of the lesions can be characterized with high precision using our previous model. The results demonstrate the robustness of the model with the approximate overall accuracy up to 90%. 相似文献
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Mohammad Momen Gharibvand Mina Mounesi Arman Shahriari Asghar Sharif Najafi Azim Motamed far Atefeh Roumi 《生物学前沿》2018,13(6):458-463