A5100657513- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Face and Expression Recognition
- Cancer-related molecular mechanisms research
- Adaptive Control of Nonlinear Systems
- Machine Learning in Bioinformatics
- Molecular Biology Techniques and Applications
- Circular RNAs in diseases
- MicroRNA in disease regulation
- Advanced Algorithms and Applications
- Stability and Control of Uncertain Systems
- Genomics and Chromatin Dynamics
- Stability and Controllability of Differential Equations
- RNA modifications and cancer
- Invertebrate Immune Response Mechanisms
- RNA Research and Splicing
- Machine Learning and ELM
- Neural Networks and Applications
- Advanced Mathematical Physics Problems
- Aquaculture disease management and microbiota
- Computational Drug Discovery Methods
- RNA and protein synthesis mechanisms
- Radiomics and Machine Learning in Medical Imaging
- Advanced Mathematical Modeling in Engineering
- Fungal and yeast genetics research
Shanghai University of Electric Power
2025
Henan Provincial People's Hospital
2022-2025
China Academy of Engineering Physics
2018-2025
Chengdu University
2024-2025
Beijing Institute of Technology
2025
Institute of Electronics
2025
Henan Normal University
2015-2024
Chinese Academy of Tropical Agricultural Sciences
2017-2024
Beijing Wuzi University
2016-2024
China Three Gorges University
2024
Abstract Long noncoding RNAs (lncRNAs) have been investigated in multiple human cancers including gastric cancer (GC). Our research aims to explore the role of H19 aerobic glycolysis, proliferation, and immune escape GC cells. The expression samples was analyzed using Gene Expression Profiling Interactive Analysis, Omnibus data, real‐time quantitative PCR analysis. Relative quantification glucose consumption lactate production from cell supernatant were applied assess glycolysis Subcellular...
In the past few years, cross-modal image-text retrieval (ITR) has experienced increased interest in research community due to its excellent value and broad real-world application. It is designed for scenarios where queries are from one modality galleries another modality. This paper presents a comprehensive up-to-date survey on ITR approaches four perspectives. By dissecting an system into two processes: feature extraction alignment, we summarize recent advance of these On top this,...
CyTOF enables the study of immune system with a complexity, depth, and multidimensionality never achieved before. However, full potential using can be limited by scarce cell samples. Barcoding strategies developed based on direct labeling cells maleimido-monoamide-DOTA (m-DOTA) provide very useful tool. m-DOTA has some inherent problems, mainly associated signal intensity. This may source uncertainty when samples are multiplexed. As an alternative or complementary approach to m-DOTA,...
Abstract Combination therapy has exhibited substantial potential compared to monotherapy. However, due the explosive growth in number of cancer drugs, screening synergistic drug combinations become both expensive and time-consuming. Synergistic refer concurrent use two or more drugs enhance treatment efficacy. Currently, numerous computational methods have been developed predict effects anticancer drugs. there insufficient exploration how mine cell line data at different granularity levels...
Efforts to improve the clinical outcome of highly aggressive triple-negative breast cancer (TNBC) have been hindered by lack effective targeted therapies. Thus, it is important identify specific gene targets/pathways driving invasive phenotype develop more therapeutics. Here we show that ubiquitin-associated and SH3 domain-containing B (UBASH3B), a protein tyrosine phosphatase, overexpressed in TNBC, where supports malignant growth, invasion, metastasis largely through modulating epidermal...
This paper deals with the problems of cancer classification and grouped gene selection. The weighted co-expression network on microarray data is employed to identify modules corresponding biological pathways, based which a strategy dividing genes into groups presented. Using conditional mutual information within each divided group, an integrated criterion proposed data-driven weights are constructed. They shown ability evaluate both individual significance influence improve correlation all...
Summary Gut microbiota contributes positively to the physiology of their host. Some feed additives have been suggested improve livestock health and stimulate growth performance by modulating gut bacteria species. Here, we fed grass carp with 0 (control), 8% (Treat1), 10% (Treat2), 12% (Treat3) 16% (Treat4) yeast culture (YC) for 10 weeks. The was analysed 16S rRNA gene V3‐4 region via an Illumina MiSeq platform. PCoA test showed that bacterial communities in control Treat3 formed distinctly...
Up to accomplishment of this study, the role long non-coding RNAs (lncRNAs) in breast cancer has been investigated several researches. Nevertheless, its association with chemosensitivity was little known. Therefore, study is focused on lncRNA GAS5 and influence triple-negative (TNBC).Expression TNBC tissues cells detected by reverse transcription quantitative polymerase chain reaction (RT-qPCR) methylation evaluated using methylation-specific (MSP). Moreover, order define contributory TNBC,...
Cyanobacteria blooms in aquaculture ponds harm the harvesting of aquatic animals and threaten human health. Therefore, it is crucial to identify key drivers develop methods predict cyanobacteria water management. In this study, we analyzed monitoring data from 331 central China developed two machine learning models - least absolute shrinkage selection operator (LASSO) regression model random forest (RF) cyanobacterial abundance by identifying drivers. Simulation results demonstrated that...
Background The evolutionally conserved MAPK Sty1 and bZIP transcriptional activator Atf1 are known to play a pivotal role in response the reactive oxygen species S. pombe. However, it is unclear whether all of H2O2-induced genes directly regulated by Sty1-Atf1 pathway involved growth fitness under stress conditions. Methodology/Principal Findings Here we present study on ChIP-chip mapping genomic binding sites for Sty1, Atf1, Atf1's partner Pcr1; genome-wide profiling atf1 pcr1 strains H2O2;...
Cyclin-dependent kinase 5 (Cdk5) and its activator p35 are critical for radial migration lamination of cortical neurons. However, how this is regulated by extracellular intracellular signals during morphogenesis remains unclear. Here, we show that PKCdelta, a member novel PKC expressing in neurons, could stabilize direct phosphorylation. PKCdelta attenuated the degradation but not mutant derivative, which be phosphorylated PKCdelta. Down-regulation utero electroporation specific small...
Long treatment with paclitaxel (PTX) might increase resistance and side-effects causing a failure in cancer chemotherapy. Here we uncovered that either sulforaphane-cysteine (SFN-Cys) or sulforaphane-N-acetyl-cysteine (SFN-NAC) induced apoptosis via phosphorylated ERK1/2-mediated upregulation of 26 S proteasome Hsp70, downregulation βIII-tubulin, XIAP, Tau, Stathmin1 α-tubulin microtubule disruption human PTX-resistant non-small cell lung (NSCLC) cells. Knockdown βIII-tubulin siRNA increased...
// Wen-Xue Li 1 , Li-Ping Chen 2 Min-Ying Sun Jun-Tao Hua-Zhang Liu Wei Zhu Dearpartmant of Toxicology, Guangzhou Center for Disease Control and Prevention, Guangzhou, China Faculty School Public Health, Yet-sen University, Correspondence to: Zhu, e-mail: zhuyc126@126.com Keywords: hepatocellular carcinoma, focal adhesion kinase (FAK), diindolylmethane (DIM), MMP2/9, pTEN Received: September 03, 2014 Accepted: May 21, 2015 ...
We previously demonstrated that sulforaphane (SFN) inhibited autophagy leading to apoptosis in human non-small cell lung cancer (NSCLC) cells, but the underlying subcellular mechanisms were unknown. Hereby, high-performance liquid chromatography-tandem mass spectrometry uncovered SFN regulated production of lipoproteins, and microtubule- autophagy-associated proteins. Further, highly expressed fatty acid synthase (FASN) contributed malignancy poor prognosis. Results showed depolymerized...
Abstract Prostate cancer (PCa) is the most common malignant tumor in males, which frequently develops into castration‐resistant prostate (CRPC) with limited therapies. Gambogenic acid (GNA), a flavonoids compound isolated from Gamboge, exhibits anti‐tumor capacity various cancers. Our results showed that GNA revealed not only antiproliferative and pro‐apoptotic activities but also induction of autophagy PCa cells. In addition, inhibitor chloroquine enhanced pro‐apoptosis effect GNA....
In patients undergoing mechanical thrombectomy (MT), adjunctive antithrombotic might improve angiographic reperfusion, reduce the risk of distal emboli and reocclusion but possibly expose to a higher intracranial hemorrhage risk. This study evaluated safety efficacy combined MT plus eptifibatide for acute ischemic stroke. was propensity-matched analysis data from 2 prospective trials in Chinese populations: ANGEL-ACT trial (Endovascular Treatment Key Technique Emergency Workflow Improvement...
Background/Objectives: Bisphenol A (BPA) is a pervasive environmental endocrine disruptor, and the lifestyle associated with high-fat diet becoming increasingly common. The precise relationship between these factors high incidence of insulin resistance type 2 diabetes worldwide in recent years remains unclear. Given critical role skeletal muscle maintaining systemic glucose metabolism, this study aimed to explore potential effects co-exposure BPA on signaling molecules GLUT4 translocation...
Abstract Snapshot hyperspectral imaging (SHI) is increasing demand for various applications in dynamic scenes. Current mainstream solutions rely on machine learning with open‐source datasets to acquire fixed compression encoder and reconstruction decoder, which limits their generalizability across diverse real‐world scenarios. Herein, these challenges are addressed by a tunable optimally‐coded SHI (TOSHI) system that allows optimization of optical encoding elements software decoding...