Amifostine-loaded Prussian blue nanoparticles for simultaneous efficient radioprotection and deep decorporation of radiocesium.

Radiocesium is highly water-soluble and easily accumulates in agricultural products and seafood. Ingestion of radiocesium results in internal irradiation, significantly increasing the risk of tissue and organ damage as well as carcinogenesis. In this paper, we develop a strategy for simultaneous radioprotection and decorporation of radiocesium by amifostine-loaded Prussian blue (Am@PB) nanoparticles.

DNA aptasensor based electrochemiluminescence device for visualized detection of trace arsenite in high-salinity water samples.

Background: Current available detection methods can not afford the direct and precise detection of trace arsenite (As(III)) in high-salinity water bodies. Therefore, the development of device with low limit of detection (LOD) for the early detection of As(III) in high-salinity water samples is of vital importance to secure environment and food safety.

Results: Herein, we report a rapid and visualized device for trace As(III) determination in practical water samples by DNA aptasensor based electrochemiluminescence (ECL) method.

Regulatory networks of bZIPs in drought, salt and cold stress response and signaling.

Abiotic stresses adversely impact plants survival and growth, which in turn affect plants especially crop yields worldwide. To cope with these stresses, plant responses depend on the activation of molecular networks cascades, including stress perception, signal transduction, and the expression of specific stress-related genes. Plant bZIP (basic leucine zipper) transcription factors are important regulators that respond to diverse abiotic stresses.

An electrochemiluminescence device for visualized detection of lead in practical samples.

Lead (Pb) pollution poses a significant threat to human health due to its potential accumulation through the food chain. In response to this challenge, an array of electrochemiluminescence (ECL) devices has been developed for the accurate and visualized detection of trace Pb, achieving an ultra-low limit of detection (LOD) of 9.8 pg L.

Dual-Enhancement Electrochemiluminescence Device for Ultratrace Uranium Visualized Monitoring in Fish, Hair, and Nail Samples.

Uranium is a nuclear fuel but also a hazardous contaminant due to its radioactivity and chemical toxicity. To prevent and mitigate its potential threat, the accurate monitoring of ultratrace uranium (orders of magnitude of pg g) in practical environmental samples has become an important scientific problem. To meet this challenge, we developed an efficient electrochemiluminescence (ECL) UO detection device by a novel dual-enhancement mechanism.

Automatic rehabilitation exercise task assessment of stroke patients based on wearable sensors with a lightweight multichannel 1D-CNN model.

Approximately 75% of stroke survivors have movement dysfunction. Rehabilitation exercises are capable of improving physical coordination. They are mostly conducted in the home environment without guidance from therapists.

Recent progress in atomically precise metal nanoclusters for photocatalytic application.

Photocatalysis is a widely recognized green and sustainable technology that can harness inexhaustible solar energy to carry out chemical reactions, offering the opportunity to mitigate environmental issues and the energy crisis. Photocatalysts with wide spectral response and rapid charge transfer capability are crucial for highly efficient photocatalytic activity. Atomically precise metal nanoclusters (NCs), an emerging atomic-level material, have attracted great interests owing to their ultrasmall size, unique atomic stacking, abundant surface active sites, and quantum confinement effect.

Visualized electrochemiluminescence detection of trace copper in practical food samples.

Copper as a widely applied element in food supply chain can cause serious contamination issues that threats food safety. In this research, we present a quick and visible method for trace copper ion (Cu) quantification in practical food samples. Polymer dots (Pdots) were firstly conjugated with a copper-specific DNA aptamer and then tailored with rhodamine B (RhB) to extinguish the electrochemiluminescence (ECL) signal through a resonance energy transfer process.

Genetic dissection of lint percentage in short-season cotton using combined QTL mapping and RNA-seq.

In total, 17 QTLs for lint percentage in short-season cotton, including three stable QTLs, were detected. Twenty-eight differentially expressed genes located within the stable QTLs were identified, and two genes were validated by qRT-PCR. The breeding and use of short-season cotton have significant values in addressing the question of occupying farmlands with either cotton or cereals.

Identification of superior parents with high fiber quality using molecular markers and phenotypes based on a core collection of upland cotton ( L.).

Unlabelled: The combination of molecular markers and phenotypes to select superior parents has become the goal of modern breeders. In this study, 491 upland cotton ( L.) accessions were genotyped using the CottonSNP80K array and then a core collection (CC) was constructed.

Physiological and Transcriptomic Comparison of Two Sunflower ( L.) Cultivars With High/Low Cadmium Accumulation.

The toxic heavy metal cadmium (Cd) is easily absorbed and accumulated in crops and affects human health through the food chains. Sunflower ( L.) is a globally important oil crop.

Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations.

We propose a novel weakly supervised approach for 3D semantic segmentation on volumetric images. Unlike most existing methods that require voxel-wise densely labeled training data, our weakly-supervised CIVA-Net is the first model that only needs image-level class labels as guidance to learn accurate volumetric segmentation. Our model learns from cross-image co-occurrence for integral region generation, and explores inter-voxel affinity relations to predict segmentation with accurate boundaries.

Dissecting the genetic architecture of seed-cotton and lint yields in Upland cotton using genome-wide association mapping.

Seed-cotton yield (SY) and lint yield (LY) are the most important yield traits of cotton. Thus, it is critical to dissect their genetic architecture. Upland cotton () is widely grown worldwide.

Simple sequence repeat markers associated/linked with agronomic traits, as core primers, are eminently suitable for DNA fingerprinting in Upland cotton.

Analyzing the genetic differences among crop germplasm resources scientifically and accurately is very important for the selection of core accessions, the identification of new cultivars, and the determination of seed purity. However, phenotypic selection is not sufficient to identify genetically distinct accessions. In this study, 26 out of 83 simple sequence repeat markers associated/linked with cotton important agronomic traits derived from our previous and other published research, corresponding to the 26 chromosomes of Upland cotton ( L.

Single-Locus and Multi-Locus Genome-Wide Association Studies in the Genetic Dissection of Fiber Quality Traits in Upland Cotton ( L.).

A major breeding target in Upland cotton ( L.) is to improve the fiber quality. To address this issue, 169 diverse accessions, genotyped by 53,848 high-quality single-nucleotide polymorphisms (SNPs) and phenotyped in four environments, were used to conduct genome-wide association studies (GWASs) for fiber quality traits using three single-locus and three multi-locus models.

A genome-wide association study of early-maturation traits in upland cotton based on the CottonSNP80K array.

Genome-wide association studies (GWASs) efficiently identify genetic loci controlling traits at a relatively high resolution. In this study, variations in major early-maturation traits, including seedling period (SP), bud period (BP), flower and boll period (FBP), and growth period (GP), of 169 upland cotton accessions were investigated, and a GWAS of early maturation was performed based on a CottonSNP80K array. A total of 49,650 high-quality single-nucleotide polymorphisms (SNPs) were screened, and 29 significant SNPs located on chromosomes A6, A7, A8, D1, D2, and D9, were repeatedly identified as associated with early-maturation traits, in at least two environments or two algorithms.

Differential expression of microRNAs during fiber development between fuzzless-lintless mutant and its wild-type allotetraploid cotton.

Cotton is one of the most important textile crops but little is known how microRNAs regulate cotton fiber development. Using a well-studied cotton fiberless mutant Xu-142-fl, we compared 54 miRNAs for their expression between fiberless mutant and its wildtype. In wildtype Xu-142, 26 miRNAs are involved in cotton fiber initiation and 48 miRNAs are related to primary wall synthesis and secondary wall thickening.

Chemical shift MR imaging in the lumbar vertebra: the effect of field strength, scanner vendors and flip angles in repeatability of signal intensity index measurement.

Background: To evaluate the reproducibility of signal intensity index (SII) measurements with MRI systems from different vendors and with different field strengths, and to test the effectiveness of flip angle.

Methods: Thirty-two healthy volunteers (mean age 35.3 ± 9.

Quantitative trait loci mapping and genetic dissection for lint percentage in upland cotton (Gossypium hirsutum).

Lint percentage is an important character of cotton yield components and it is also correlated with cotton fibre development. In this study, we used a high lint percentage variety, Baimian1, and a low lint percentage, TM-1 genetic standard for Gossypium hirsutum, as parents to construct a mapping populations in upland cotton (G. hirsutum).

QTL analysis for early-maturing traits in cotton using two upland cotton (Gossypium hirsutum L.) crosses.

Making use of the markers linked closely to QTL for early-maturing traits for MAS (Marker-assisted selection) is an effective method for the simultaneous improvement of early maturity and other properties in cotton. In this study, two F2 populations and their F2:3 families were generated from the two upland cotton (Gossypium hirsutum L.) crosses, Baimian2 × TM-1 and Baimian2 × CIR12.

Overexpression of miR 156 in cotton via Agrobacterium-mediated transformation.

microRNAs (miRNAs) are an extensive class of newly identified endogenous small regulatory molecules. Many studies show that miRNAs play a critical role in almost all biological and metabolic progresses through targeting protein-coding genes for mRNA cleavage or translation inhibition. Many miRNAs are also identified from cotton using computational and/or experimental approaches, including the next generation deep sequencing technology.

[QTL mapping for "pre-summer boll, summer boll and autumn boll" traits in cotton].

"Pre-summer boll, summer boll and autumn boll" have long been regarded as an important index for prematurity and high-yield in cotton. In this study, the prematurity and high-yield cotton cultivar, Baimian 2, was used as the central parent to cross separately with the middle-late-matury lines TM-1 and CIR12, and then two populations of F2 and F2:3 family lines were obtained, which was used to construct two genetic linkage maps. These maps were comprised of 269 and 127 marker loci with the total length 1837.