Abundance of Transgene Transcript Variants Associated with Somatically Active Transgenic from Multiple T-DNA Integration Sites in Maize.

, a novel type of mysterious DNA transposons discovered computationally prior to bench work confirmation, are components ubiquitous in most sequenced genomes of various eukaryotes, including plants, animals, and fungi. There is a paucity of empirical evidence to elucidate the mechanism of transposition in plants. Here, by constructing several artificial defective () reporter systems, we aim to identify the autonomous () in maize genetically and to demonstrate the transposition and repair mechanisms of upon the excision in maize.

Cloning of Maize Transposon into Reveals the Polychromatic Sequence Landscape of Refractorily Propagated Plasmids.

, the founder member of the superfamily and its MURA transcripts, has been identified as toxic sequences to (), which heavily hindered the elucidation of the biochemical features of MURA transposase and confined the broader application of the system in other organisms. To harness less constrained systems as alternatives, we attempted to clone and two recently isolated autonomous -like elements () from maize, respectively. Their full-length transcripts and genomic copies are successfully cloned when the incubation time for bacteria to recover from heat shock is extended appropriately prior to plating.

A Heterogeneous RISC-V Processor for Efficient DNN Application in Smart Sensing System.

Extracting features from sensing data on edge devices is a challenging application for which deep neural networks (DNN) have shown promising results. Unfortunately, the general micro-controller-class processors which are widely used in sensing system fail to achieve real-time inference. Accelerating the compute-intensive DNN inference is, therefore, of utmost importance.

Efficient Resource-Aware Convolutional Neural Architecture Search for Edge Computing with Pareto-Bayesian Optimization.

With the development of deep learning technologies and edge computing, the combination of them can make artificial intelligence ubiquitous. Due to the constrained computation resources of the edge device, the research in the field of on-device deep learning not only focuses on the model accuracy but also on the model efficiency, for example, inference latency. There are many attempts to optimize the existing deep learning models for the purpose of deploying them on the edge devices that meet specific application requirements while maintaining high accuracy.

Evaluation of LL-37 antimicrobial peptide derivatives alone and in combination with vancomycin against S. aureus.

Treatment of Staphylococcus aureus infections continues to be a challenge due to antimicrobial resistance. Endogenous antimicrobial peptides may offer a new option for treating S. aureus infections but several factors limit their clinical utility.

Intranasal immunization with recombinant chlamydial protease-like activity factor attenuates atherosclerotic pathology following Chlamydia pneumoniae infection in mice.

We have shown previously that intranasal vaccination with recombinant chlamydial protease-like activity factor (rCPAF: antigen) and interleukin-12 (IL-12) as an adjuvant induces robust protection against pathological consequences of female genital tract infection with Chlamydia muridarum, a closely related species and a rodent model for the human pathogen Chlamydia trachomatis. Another related species Chlamydia pneumoniae, a human respiratory pathogen, has been associated with exacerbation of atherosclerotic pathology. CPAF is highly conserved among Chlamydia spp.

RNA-guided Cas9 as an in vivo desired-target mutator in maize.

The RNA-guided Cas9 system is a versatile tool for genome editing. Here, we established a RNA-guided endonuclease (RGEN) system as an in vivo desired-target mutator (DTM) in maize to reduce the linkage drag during breeding procedure, using the LIGULELESS1 (LG1) locus as a proof-of-concept. Our system showed 51.