Sp1 and KLF15 regulate basal transcription of the human LRP5 gene

<p>Abstract</p> <p>Background</p> <p>LRP5, a member of the low density lipoprotein receptor superfamily, regulates diverse developmental processes in embryogenesis and maintains physiological homeostasis in adult organisms. However, how the expression of human <it>LRP5 </it>gene is regulated remains unclear.</p> <p>Results</p> <p>In order to characterize the transcriptional regulation of human <it>LRP5 </it>gene, we cloned the 5' flanking region and evaluated its transcriptional activity in a luciferase reporter system. We demonstrated that both KLF15 and Sp1 binding sites between -72 bp and -53 bp contribute to the transcriptional activation of human <it>LRP5 </it>promoter. Chromatin immunoprecipitation assay demonstrated that the ubiquitous transcription factors KLF15 and Sp1 bind to this region. Using <it>Drosophila </it>SL2 cells, we showed that KLF15 and Sp1 trans-activated the <it>LRP5 </it>promoter in a manner dependent on the presence of Sp1-binding and KLF15-binding motifs.</p> <p>Conclusions</p> <p>Both KLF15 and Sp1 binding sites contribute to the basal activity of human <it>LRP5 </it>promoter. This study provides the first insight into the mechanisms by which transcription of human <it>LRP5 </it>gene is regulated.</p

Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck

This paper studies the multimodal named entity recognition (MNER) and multimodal relation extraction (MRE), which are important for multimedia social platform analysis. The core of MNER and MRE lies in incorporating evident visual information to enhance textual semantics, where two issues inherently demand investigations. The first issue is modality-noise, where the task-irrelevant information in each modality may be noises misleading the task prediction. The second issue is modality-gap, where representations from different modalities are inconsistent, preventing from building the semantic alignment between the text and image. To address these issues, we propose a novel method for MNER and MRE by Multi-Modal representation learning with Information Bottleneck (MMIB). For the first issue, a refinement-regularizer probes the information-bottleneck principle to balance the predictive evidence and noisy information, yielding expressive representations for prediction. For the second issue, an alignment-regularizer is proposed, where a mutual information-based item works in a contrastive manner to regularize the consistent text-image representations. To our best knowledge, we are the first to explore variational IB estimation for MNER and MRE. Experiments show that MMIB achieves the state-of-the-art performances on three public benchmarks

The performance of the copulas in estimating the joint probability of extreme waves and surges along east coasts of the mainland China

In designing coastal and nearshore structures, the joint probability of the wave heights and storm surges is essential in determining the possible highest total water level. The key elements to accurately estimate the joint probability are the appropriate sampling of the extreme values and selection of probability functions for the analysis. This study is to provide a full assessment of the performance of the different methods employed in the joint probability analysis. The bivariate extreme wave height and surge samples are analysed using 2 different probability distributions and the performance of 4 copulas, namely: Gumbel–Hougaard copula, Clayton copula, Frank copula and Galambos copula, is assessed. The possible highest total water levels for 100-year return period along the coastline of the mainland China are estimated by the joint probability method with the Gumbel–Hougaard copula. The results show that the wave heights and surges are highly correlated in the areas of dense typhoon paths. The distributions of the possible highest total water levels show a higher value in the southeast coast and lower value in the north. The results also indicate that at the locations where the sea states are energetic, the joint probability approach can improve the accuracy of design

A Genome-Wide SNP Scan Reveals Novel Loci for Egg Production and Quality Traits in White Leghorn and Brown-Egg Dwarf Layers

Availability of the complete genome sequence as well as high-density SNP genotyping platforms allows genome-wide association studies (GWAS) in chickens. A high-density SNP array containing 57,636 markers was employed herein to identify associated variants underlying egg production and quality traits within two lines of chickens, i.e., White Leghorn and brown-egg dwarf layers. For each individual, age at first egg (AFE), first egg weight (FEW), and number of eggs (EN) from 21 to 56 weeks of age were recorded, and egg quality traits including egg weight (EW), eggshell weight (ESW), yolk weight (YW), eggshell thickness (EST), eggshell strength (ESS), albumen height(AH) and Haugh unit(HU) were measured at 40 and 60 weeks of age. A total of 385 White Leghorn females and 361 brown-egg dwarf dams were selected to be genotyped. The genome-wide scan revealed 8 SNPs showing genome-wise significant (P<1.51E-06, Bonferroni correction) association with egg production and quality traits under the Fisher's combined probability method. Some significant SNPs are located in known genes including GRB14 and GALNT1 that can impact development and function of ovary, but more are located in genes with unclear functions in layers, and need to be studied further. Many chromosome-wise significant SNPs were also detected in this study and some of them are located in previously reported QTL regions. Most of loci detected in this study are novel and the follow-up replication studies may be needed to further confirm the functional significance for these newly identified SNPs

Relevance research on carotid atherosclerosis and levels of serum cathepsin K and cystatin C on patients with ischemic cerebral vascular disease

The relationship between carotid atherosclerosis (AS) and levels of serum cathepsin K (CatK) and cystatin C (CysC) on patients with ischemic cerebral vascular disease (ICVD) was explored. In total, 266 patients with ICVD who were admitted in our hospital were enrolled. According to the results of carotid ultrasound, they were randomly divided into plaque group (n = 133) and control group (n = 133). According to atherosclerotic plaque type distribution, the plaque group was divided into stable plaque group and unstable group. The relationship between levels of serum CatK and CysC of two groups and carotid AS indicator (such as intima-media thickness (IMT)) were analyzed with Spearman’s correlation. Spearman’s correlation analysis showed that IMT level was positively correlated with stability of carotid atherosclerotic plaque ( P  < 0.05). The level of serum CatK in plaque group was significantly higher than control group, and the level of serum CysC in plaque group was significantly lower than control group ( P  < 0.05); the level of serum CatK in unstable plaque group was significantly higher than stable plaque group, and the level of serum CysC in unstable plaque group was significantly lower than stable plaque group ( P  < 0.05). Serum CatK and IMT levels were positively correlated, and serum CysC and CatK levels were negatively correlated ( P  < 0.05). CatK and CysC levels may be used as serum markers for predicting carotid AS plaque instability, providing a new observational index for prevention and treatment of ICVD caused by carotid AS plaque

Modelling of extreme wave climate in China Seas

Accurately estimating the extreme wave climate is important to the ocean and coastal engineering design. In this study, the long-term wave climate from 1979 to 2013 over the northwest Pacific Ocean, centred at the China Seas (including the East China Seas and the South China Sea), is hindcasted by using the spectral wave model WAMC4. The model is driven by the wind forcing obtained from the recently released 6 hourly ECMWF (European Centre for Medium-range Weather Forecasts) reanalysis data, with the spatial resolution of 0.125°×0.125°. For the typhoon events, the parametric typhoon wind fields are generated and blended in the typhoon affected area. The statistical analysis of the extreme waves with 100-year return period at several observation stations are carried out. The results show a good agreement with the observation data, indicating that using the blended wind field for the modelling of extreme wave climate in China Seas can considerably improve the accuracy of the predicted wave heights

Cadmium Absorption in Various Genotypes of Rice under Cadmium Stress

Cadmium (Cd) is a kind of heavy metal. Cadmium pollution in paddy fields will accumulate a large amount of cadmium in rice, which will affect the growth and development of rice. In addition, long-term consumption of rice contaminated with Cd can harm human health. In this study, four rice varieties with high Cd accumulation (S4699, TLY619, JHY1586, QLY155) and four varieties with low Cd accumulation (YY4949, CYJ-7, G8YXSM, MXZ-2) were screened through field experiments for two consecutive years (2021 and 2022) and differences in antioxidant enzyme systems and expression of genes in their organs were analyzed. The total Cd content showed as follows: indica rice > japonica rice, high-Cd-accumulation variety > low-Cd-accumulation variety, and the total Cd content of each organ of rice showed root > stem > leaf > grain. The results of the antioxidant enzyme system showed that the contents of malondialdehyde (MAD), reduced glutathione (GSH), oxidized glutathione (GSSH), and peroxidase (POD) were positively correlated with the total Cd content in rice, and superoxide dismutase (SOD) showed the opposite performance in the leaves. There was no correlation between catalase (CAT) and Cd content, but CAT content decreased in leaves and grains and increased in roots and stems with increasing fertility. Based on this study, RT-qPCR was used to further validate the expression of Cd-uptake-related genes in different rice varieties. It was found that high expression of OsHMA3, OsCCX2, OsNRAMP5, and OsHMA9 genes promoted Cd uptake and translocation in rice, especially in rice varieties with high Cd accumulation. The high expression of OslRT1, OsPCR1, and OsMTP1 genes hindered Cd uptake by rice plants, which was especially evident in low-accumulating Cd rice varieties. These results provide an important theoretical reference and scientific basis for our in-depth study and understanding of the mechanism of cadmium stress tolerance in rice