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Ma Xiaowen,Gu Jinbao,Luo Qingwen,Wen Mingfu,Li Hua,Wang Zhen-Yu 한국식물생명공학회 2022 Plant biotechnology reports Vol.16 No.1
β-Aminobutyric acid (BABA) and γ-aminobutyrate (GABA) had a positive role in alleviating the damage when plants were exposed to abiotic and biotic stresses. However, it is not known whether exogenous of GABA and BABA could improve the tolerance of cassava plants, and their synergistic benefits. In the current study, we found that the cassava seedling improved the tolerance by exogenous of BABA and GABA under salt and drought stress condition, as reflected by reducing the accu- mulation of hydrogen peroxide and increasing the activities of antioxidant enzymes. Meanwhile, the expression of genes encoding antioxidant enzymes was significantly unregulated by salt or drought stress after application of BABA and GABA, separately. Moreover, the transcript levels of DREB2A and SOS2 were significantly unregulated by salt after application of BABA and GABA, separately, and expression of DREB2A, NCED3, and CBF3 was significantly unregulated by drought stress after application of BABA and GABA, separately. Interestingly, there was a synergistic benefit on improving the plant stress tolerance by combining the application of BABA and GABA. Therefore, our study provides new insights into maintaining the high yield by combining use of the chemical compounds in cassava which is relatively hard to be genetically modified.
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PSMD12 promotes non-small cell lung cancer progression through activating the Nrf2/TrxR1 pathway
Lv Junqi,Ma Shengmao,Wang Xiaowen,Dang Jifang,Ma Fuchun 한국유전학회 2024 Genes & Genomics Vol.46 No.3
Background Non-small cell lung cancer (NSCLC) contributes to the vast majority of cancer-related deaths. Proteasome 26S subunit, non-ATPase 12 (PSMD12), a subunit of 26S proteasome complex, is known to play the tumor-promoting role in several types of cancer but its function in NSCLC remains elusive. Objective To explore the role and underlying mechanisms of PSMD12 in NSCLC. Methods The PSMD12 expression in human normal lung epithelial cell line (BEAS-2B) and four NSCLC cell lines (A549, NCI-H1299, NCI-H1975, Calu-1) were determined by qRT-PCR and western blot. Malignant phenotypes of NSCLC cells were detected by CCK-8, EdU staining, immunofluorescence staining for E-cadherin, flow cytometry, and Transwell assays to assess cell viability, proliferation, epithelial-mesenchymal transition (EMT), apoptosis, migration and invasion. Dual luciferase assay was used to verify the regulatory role of transcription factor on the promoter. Results We identified the upregulation of PSMD12 in NSCLC tissues based on the GEO datasets, which further verified in NSCLC and BEAS-2B cell lines. PSMD12 knockdown significantly suppressed malignant behaviors of NSCLC cells, including cell growth, invasion, and migration, while PSMD12 overexpression presented the opposite effects. Interestingly, we found that PSMD12 upregulated the tumor-promoting factor TrxR1 mRNA expression. For its potential mechanisms, we demonstrated that PSMD12 elevated transcription factor Nrf2 protein level and promoted Nrf2 nuclear translocation. And Nrf2 further increased TrxR1 promoter activity and enhanced TrxR1 transcription. Meanwhile, we proved that TrxR1 overexpression erased the inhibitory effect of PSMD12 knockdown. Conclusion PSMD12 promotes NSCLC progression by activating the Nrf2/TrxR1 pathway, providing a novel prognostic and therapeutic target for NSCLC treatment.
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A new hybrid method for bearing fault diagnosis based on CEEMDAN and ACPSO-BP neural network
Shanshan Song,Shuqing Zhang,Wei Dong,Xiaowen Zhang,Wei Ma 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.11
As an important part of rotating machinery, the failure of bearings will cause serious vibration and noise of mechanical equipment, which will affect the normal operation of the equipment and even lead to economic losses and casualties. To accurately and efficiently diagnose the working state and fault category of bearings, a new fault diagnosis method for rolling bearings based on the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), weighted permutation entropy (WPE) and adaptive chaotic particle swarm optimization back propagation (BP) neural network (ACPSO-BP) was proposed. CEEMDAN and WPE were used to extract fault features and optimize the feature vector by mean domain specification principles. ACPSO optimizes the convergence speed and recognition accuracy of the BP neural network by introducing an adaptive tent mapping interval. The experimental results on bearing data from Western Reserve University and actual wind turbine data show that the proposed diagnosis method can achieve high fault recognition accuracy with a small number of training samples.
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antiSMASH 4.0—improvements in chemistry prediction and gene cluster boundary identification
Blin, Kai,Wolf, Thomas,Chevrette, Marc G.,Lu, Xiaowen,Schwalen, Christopher J.,Kautsar, Satria A.,Suarez ,Duran, Hernando G.,de ,los ,Santos, Emmanuel ,L. ,C.,Kim, Hyun Uk,Nave, Ma Oxford University Press 2017 Nucleic acids research Vol.45 No.w1
<P><B>Abstract</B></P><P>Many antibiotics, chemotherapeutics, crop protection agents and food preservatives originate from molecules produced by bacteria, fungi or plants. In recent years, genome mining methodologies have been widely adopted to identify and characterize the biosynthetic gene clusters encoding the production of such compounds. Since 2011, the ‘antibiotics and secondary metabolite analysis shell—antiSMASH’ has assisted researchers in efficiently performing this, both as a web server and a standalone tool. Here, we present the thoroughly updated antiSMASH version 4, which adds several novel features, including prediction of gene cluster boundaries using the ClusterFinder method or the newly integrated CASSIS algorithm, improved substrate specificity prediction for non-ribosomal peptide synthetase adenylation domains based on the new SANDPUMA algorithm, improved predictions for terpene and ribosomally synthesized and post-translationally modified peptides cluster products, reporting of sequence similarity to proteins encoded in experimentally characterized gene clusters on a per-protein basis and a domain-level alignment tool for comparative analysis of <I>trans</I>-AT polyketide synthase assembly line architectures. Additionally, several usability features have been updated and improved. Together, these improvements make antiSMASH up-to-date with the latest developments in natural product research and will further facilitate computational genome mining for the discovery of novel bioactive molecules.</P>
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