Pomiferin targeting SLC9A9 based on histone acetylation modification pattern is a potential therapeutical option for gastric cancer with high malignancy.

Changes in histone acetylation status are associated with gastric cancer (GC) progression. Pomiferin is a natural flavonoid, however, the specific role of pomiferin in the treatment of GC is still unclear, and its targets are not well clarified. In this work, the prognostic genes related with histone acetylation in GC were screened by univariate Cox analysis.

Developmental normalization of phenomics data generated by high throughput plant phenotyping systems.

Background: Sowing time is commonly used as the temporal reference for (Arabidopsis) experiments in high throughput plant phenotyping (HTPP) systems. This relies on the assumption that germination and seedling establishment are uniform across the population. However, individual seeds have different development trajectories even under uniform environmental conditions.

Renal-clearable zwitterionic conjugated hollow ultrasmall FeO nanoparticles for T-weighted MR imaging in vivo.

Monodispersed hollow FeO nanoparticles with the diameters of 7 and 10 nm were prepared via a high-temperature pyrolysis method and the Kirkendall effect by regulating the ratio of oleylamine to oleic acid. The water solubility was studied by zwitterionic dopamine sulfonate (ZDS) to obtain ZDS-conjugated FeO nanoparticles (FeO@ZDS NPs). The 7 nm FeO@ZDS NPs exhibited a good T positive contrast with a longitudinal relaxivity (r) of 0.

Nanozyme-Augmented Tumor Catalytic Therapy by Self-Supplied HO Generation.

Nanozyme with the "dual identity" of enzymes and nanomaterials is an emerging strategy to mimic natural enzymes in bio-nanotechnology. However, how to improve the nanozyme-based therapeutic efficiency in vivo still remains a challenge. Herein, we fabricated a nanozyme platform (Fe@FeO@CuS, named as MNPs) possessing peroxidase enzyme-like activity and then introduced β-lapachone (La) to assemble an effective nanozyme (LaMNPs) to boost the production of reactive oxygen species and upregulate the level of HO by the released La in an acidic tumor microenvironment.

Ultrasound-Enhanced Generation of Reactive Oxygen Species for MRI-Guided Tumor Therapy by the Fe@FeO-Based Peroxidase-Mimicking Nanozyme.

Reactive oxygen species (ROS)-based tumor therapy is still challenging due to limited ROS-generating efficacy. Herein, we constructed heparin-conjugated Fe@FeO NPs (Fe@FeO@heparin, denoted as MNPs) as a peroxidase-mimicking nanozyme to generate ROS for tumor therapy through the combination of the ultrasound-stimulated Fenton reaction and the increased concentration of HO by β-lapachone (La) in a tumor. La was first intraperitoneally injected into mice and induced to generate a considerable quantity of HO through a specific tumor reaction, which was catalyzed by MNPs to produce highly hydroxyl radicals (•OH).

Iridium complex nanoparticle mediated radiopharmaceutical-excited phosphorescence imaging.

We firstly perpared liposome coated [Ir(pq)2(bpy)]Cl (Ir@liposome) as a transducer for radiopharmaceutical (18F-FDG) excited phosphorescence imaging (REPI). Ir@liposome-based REPI exhibited deep tissue penetration and high signal-to-noise ratio in the tumor.

Fe@FeGe nanoparticles for MR imaging-guided NIR-driven photodynamic therapy in vivo.

Photodynamic therapy (PDT) has attracted much attention as a useful technique for disease therapy, considering its minimum invasiveness, high spatial-temporal control, and specific lesion destruction. However, the limited generation of singlet oxygen (1O2) in PDT has restricted the practical biomedical applications of photosensitizers. To overcome this issue, we first developed iron nanoparticles as an Fe nanotemplate to synthesize iron germanium nanoalloy coated iron nanoparticles (Fe@Fe3Ge2 NPs), which possess strong near-infrared (NIR) absorption, as a highly stable photosensitizer and to generate 1O2 effectively under irradiation by an 808 nm laser for NIR-PDT via the mitochondrial apoptotic pathway.

Facile one-step dialysis strategy for fabrication of hollow complex nanoparticles.

We developed a facile one-step dialysis method to prepare a series of hollow iridium complexes and their rare-earth hybrid complex nanoparticles (NPs). The resulting Ir-Dy hybrid NPs exhibited an excellent transverse relaxivity (r) value of ∼194.5 mM s (7.

Amplifying Apoptosis Homing Nanoplatform for Tumor Theranostics.

Nanomedicine has significantly impacted cancer theranostics. However, its efficiency is restricted by the limited enhanced permeability and retention effect of nanomaterials and insufficient density/specificity of receptors of tumor cells. Herein, an apoptosis-homing nanoplatform based on zinc(II) dipicolylamine (ZnDPA) conjugated Fe/Fe O nanoparticles (MNPs/ZnDPA), which demonstrates amplified magnetic resonance signal and photothermal therapy, is developed.

Photoacoustic-Enabled Self-Guidance in Magnetic-Hyperthermia Fe@Fe O Nanoparticles for Theranostics In Vivo.

Magnetic nanoparticles have gained much interest for theranostics benefited from their intrinsic integration of imaging and therapeutic abilities. Herein, c(RGDyK) peptide PEGylated Fe@Fe O nanoparticles (RGD-PEG-MNPs) are developed for photoacoustic (PA)-enabled self-guidance in tumor-targeting magnetic hyperthermia therapy in vivo. In the α β -positive U87MG glioblastoma xenograft model, the PA signal of RGD-PEG-MNPs reaches its maximum in the tumor at 6 h after intravenous administration.

Gastric cancer-derived exosomes promote peritoneal metastasis by destroying the mesothelial barrier.

An intact mesothelium serves as a protective barrier to inhibit peritoneal carcinomatosis. Cancer-derived exosomes can mediate directional tumor metastasis; however, little is known about whether gastric cancer-derived exosomes will destroy the mesothelial barrier and promote peritoneal dissemination. Here, we demonstrate that gastric cancer-derived exosomes facilitate peritoneal metastasis by causing mesothelial barrier disruption and peritoneal fibrosis.

Bayesian predictor combination for lossless image compression.

Adaptive predictor combination (APC) is a framework for combining multiple predictors for lossless image compression and is often at the core of state-of-the-art algorithms. In this paper, a Bayesian parameter estimation scheme is proposed for APC. Extensive experiments using natural, medical, and remote sensing images of 8–16 bit/pixel have confirmed that the predictive performance is consistently better than that of APC for any combination of fixed predictors and with only a marginal increase in computational complexity.

A wavelet-based noise reduction algorithm and its clinical evaluation in cochlear implants.

Noise reduction is often essential for cochlear implant (CI) recipients to achieve acceptable speech perception in noisy environments. Most noise reduction algorithms applied to audio signals are based on time-frequency representations of the input, such as the Fourier transform. Algorithms based on other representations may also be able to provide comparable or improved speech perception and listening quality improvements.

Kernel methods and haplotypes used in selection of sparse DNA markers for protein yield in dairy cattle.

Recently, genome wide DNA markers have been used in breeding value estimation of livestock species. The computational technique is known as genomic selection. Typically, a large number of marker effects are estimated from a small number of animals, which presents an under-determined problem.

Parametric generalized linear system based on the notion of the t-norm.

By using the triangular norm, we propose two methods for the construction of generalized linear systems, and show new insights into the relationship between typical systems. Using the Hamacher and Frank t-norm, we propose a parametric log-ratio model, which is a generalization of the log-ratio model and is more flexible in algorithmic development. We develop a generalized linear contrast enhancement algorithm based on the proposed parametric log-ratio model.

Molecular cloning, characterization and expression of the phenylalanine ammonia-lyase gene from Juglans regia.

Phenylalanine ammonia-lyase (PAL) is the first key enzyme of the phenypropanoid pathway. A full-length cDNA of PAL gene was isolated from Juglans regia for the first time, and designated as JrPAL. The full-length cDNA of the JrPAL gene contained a 1935bp open reading frame encoding a 645-amino-acid protein with a calculated molecular weight of about 70.

A generalized logarithmic image processing model based on the gigavision sensor model.

The logarithmic image processing (LIP) model is a mathematical theory providing generalized linear operations for image processing. The gigavision sensor (GVS) is a new imaging device that can be described by a statistical model. In this paper, by studying these two seemingly unrelated models, we develop a generalized LIP (GLIP) model.

Immunohistochemical demonstration of airway epithelial cell markers of guinea pig.

The guinea pig (Cavea porcellus) is a mammalian non-rodent species in the Caviidae family. The sensitivity of the respiratory system and the susceptibility to infectious diseases allows the guinea pig to be a useful model for both infectious and non-infectious lung diseases such as asthma and tuberculosis. In this report, we demonstrated for the first time, the major cell types and composition in the guinea pig airway epithelium, using cell type-specific markers by immunohistochemical staining using the commercial available immunological reagents that cross-react with guinea pig.

A generalized unsharp masking algorithm.

Enhancement of contrast and sharpness of an image is required in many applications. Unsharp masking is a classical tool for sharpness enhancement. We propose a generalized unsharp masking algorithm using the exploratory data model as a unified framework.

An entropy interpretation of the logarithmic image processing model with application to contrast enhancement.

The logarithmic image processing (LIP) model is a mathematical theory that provides new operations for image processing. The contrast definition has been shown to be consistent with some important physical laws and characteristics of human visual system. In this paper, we establish an information-theoretic interpretation of the contrast definition.