A5048134638- Machine Fault Diagnosis Techniques
- Plant Virus Research Studies
- Gear and Bearing Dynamics Analysis
- Antibiotic Resistance in Bacteria
- Fault Detection and Control Systems
- Anomaly Detection Techniques and Applications
- Plant Molecular Biology Research
- Engineering Diagnostics and Reliability
- Animal Virus Infections Studies
- Plant and Fungal Interactions Research
- Antibiotics Pharmacokinetics and Efficacy
- Artificial Intelligence in Games
- Non-Destructive Testing Techniques
- Bacterial Identification and Susceptibility Testing
- Advanced machining processes and optimization
- RNA Interference and Gene Delivery
- Bacterial biofilms and quorum sensing
- Chromosomal and Genetic Variations
- Occupational Health and Safety Research
- Industrial Technology and Control Systems
- Agriculture, Soil, Plant Science
- RNA Research and Splicing
- Pharmaceutical and Antibiotic Environmental Impacts
- Viral Infections and Immunology Research
- Domain Adaptation and Few-Shot Learning
Tianjin Special Equipment Supervision and Inspection Technology Research Institute
2021-2024
Weifang People's Hospital
2020-2024
University of California, Riverside
2008-2024
Tiangong University
2020-2024
Shanghai Jiao Tong University
2023
Japan Advanced Institute of Science and Technology
2019-2022
Plant (United States)
2014-2019
Zhejiang Provincial People's Hospital
2015-2018
Northeastern University
2018
Zhejiang Chinese Medical University
2015
Abstract Arabidopsis thaliana defense against distinct positive-strand RNA viruses requires production of virus-derived secondary small interfering RNAs (siRNAs) by multiple RNA-dependent polymerases. However, little is known about the biogenesis pathway and effector mechanism viral siRNAs. Here, we describe a mutant Cucumber mosaic virus (CMV-Δ2b) that silenced predominantly RNA-DEPENDENT POLYMERASE6 (RDR6)-dependent siRNA pathway. We show siRNAs targeting CMV-Δ2b SUPPRESSOR OF GENE...
Proteins containing the forkhead-associated domain (FHA) are known to act in biological processes such as DNA damage repair, protein degradation, and signal transduction. Here we report that DAWDLE (DDL), an FHA domain-containing Arabidopsis, acts biogenesis of miRNAs endogenous siRNAs. Unlike mutants genes participate processing miRNA precursors, dcl1, hyponastic leaves1, serrate, ddl show reduced levels pri-miRNAs well mature miRNAs. Promoter activity MIR genes, however, is not affected by...
Significance RNAi-mediated antiviral immunity directs specific virus resistance by virus-derived siRNAs in contrast to broad-spectrum triggered innate host pattern recognition receptors. Here we show that induction of RNAi Arabidopsis is associated with production a genetically distinct class virus-activated (vasiRNAs) RNA-dependent RNA polymerase-1 target hundreds genes for silencing Argonaute-2. Production vasiRNAs induced viruses from two different supergroups families, targeted...
Replication of viral RNA genomes in fruit flies and mosquitoes induces the production virus-derived small interfering RNAs (siRNAs) to specifically reduce virus accumulation by interference (RNAi). However, it is unknown whether RNA-based antiviral immunity (RVI) sufficiently potent terminate infection adult insects as occurs cell culture. We show here that, contrast robust Flock house (FHV), with an FHV mutant (FHVΔB2) unable express its RNAi suppressor protein B2 was rapidly terminated...
Significance Forward genetics as an unbiased approach for the genetic dissection of cellular pathways has not been widely used to identify host genes essential antiviral RNAi. Here we report identification a phospholipid flippase component RNAi from forward screen developed in Arabidopsis thaliana . We also describe versatile computational pipeline capable identifying different types causal mutation, including deletion, insertion, and single-nucleotide whole-genome sequencing. show that...
Abstract Virus-host coevolution often drives virus immune escape. However, it remains unknown whether natural variations of plant resistance are enriched in genes RNA interference (RNAi) pathway known to confer essential antiviral defense plants. Here, we report two genome-wide association study screens interrogate variation among wild-collected Arabidopsis thaliana accessions quantitative the endemic cucumber mosaic (CMV). We demonstrate that highest-ranked gene significantly associated...
Global control of infectious diseases depends on the continuous development and deployment diverse vaccination strategies. Currently available live-attenuated killed virus vaccines typically take a week or longer to activate specific protection by adaptive immunity. The mosquito-transmitted Nodamura (NoV) is attenuated in mice mutations that prevent expression B2 viral suppressor RNA interference (VSR) consequently, drastically enhance vivo production virus-targeting small-interfering RNAs....
Small interfering RNAs (siRNAs) are processed from virus-specific dsRNA to direct antiviral RNA interference (RNAi) in diverse eukaryotic hosts. We have recently performed a sensitized genetic screen Arabidopsis (Arabidopsis thaliana) and identified two related phospholipid flippases required for RNAi the amplification of virus-derived siRNAs by plant RNA-dependent polymerase1 (RDR1) RDR6. Here we report identification cloning ANTIVIRAL RNAI-DEFECTIVE2 (AVI2) same screen. AVI2 encodes...
Abstract For a single-structure deep learning fault diagnosis model, its disadvantages are an insufficient feature extraction and weak classification capability. This paper proposes multi-scale fusion intelligent method based on information entropy. First, normal autoencoder, denoising sparse contractive autoencoder used in parallel to construct neural network structure. A strategy entropy is proposed obtain low-dimensional features ensure the robustness of model quality features. Finally,...
Distinct mammalian RNA viruses trigger Dicer-mediated production of virus-derived small-interfering RNAs (vsiRNA) and encode unrelated proteins to suppress vsiRNA biogenesis. However, the mechanism function interference (RNAi) response are poorly understood. Here, we characterized antiviral RNAi in a mouse model infection with Nodamura virus (NoV), mosquito-transmissible positive-strand encoding known double-stranded (dsRNA)-binding viral suppressor (VSR), B2 protein. We show that inhibition...
Abstract Convolution neural network (CNN) has been widely used in the field of remaining useful life (RUL) prediction. However, CNN-based RUL prediction methods have some limitations. The receptive CNN is limited and easy to happen gradient vanishing problem when too deep. contribution differences different channels time steps are not considered, only use deep learning features or handcrafted statistical for These limitations can lead inaccurate results. To solve these problems, this paper...
Abstract For bearing fault diagnosis at time-varying speed with tachometer-free and non-resampling, the crucial process is to obtain a high-resolution time-frequency representation extract features. However, current multi-component non-stationary signal feature extraction methods based on transform suffer from fixed parameter settings insufficient resolution for low signal-to-noise ratio signals. To address these issues, novel adaptive clustered fractional Gabor proposed applied features...