A5013167713- Nanoplatforms for cancer theranostics
- RNA Interference and Gene Delivery
- Cancer Research and Treatments
- Nanoparticle-Based Drug Delivery
- Advanced biosensing and bioanalysis techniques
- Virus-based gene therapy research
- RNA modifications and cancer
- Advanced Battery Technologies Research
- Radiomics and Machine Learning in Medical Imaging
- Electric and Hybrid Vehicle Technologies
- Cancer, Hypoxia, and Metabolism
- Seaweed-derived Bioactive Compounds
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Electric Vehicles and Infrastructure
- Cancer-related gene regulation
- Medical Imaging Techniques and Applications
- Remote Sensing and LiDAR Applications
- MicroRNA in disease regulation
- Protein Structure and Dynamics
- Computational Drug Discovery Methods
- Marine and coastal plant biology
- Marine Biology and Ecology Research
- Hepatocellular Carcinoma Treatment and Prognosis
- Neural Networks and Applications
- Biochemical and Molecular Research
Fudan University
2023-2024
Shanghai Micro Satellite Engineering Center
2022-2023
Zhongnan Hospital of Wuhan University
2023
Wuhan University
2023
Johns Hopkins University
2012-2022
The First Affiliated Hospital, Sun Yat-sen University
2019-2022
Sun Yat-sen University
2019-2022
Jiangxi University of Science and Technology
2022
University of Baltimore
2013-2022
Morgan State University
2015-2022
Abstract Background N 7 ‐methylguanosine (m G) modification is one of the most common transfer RNA (tRNA) modifications in humans. The precise function and molecular mechanism m G tRNA hepatocellular carcinoma (HCC) remain poorly understood. Methods prognostic value expression level methyltransferase complex components methyltransferase‐like protein‐1 (METTL1) WD repeat domain 4 (WDR4) HCC were evaluated using clinical samples TCGA data. biological functions mechanisms progression studied...
Radiofrequency ablation (RFA) is an important curative therapy in hepatocellular carcinoma (HCC), but recurrence rate remains as high all the other HCC therapeutic modalities. Methyltransferase 1 (METTL1), enzyme for m 7 G tRNA modification, was reported to promote development. Here, we assessed role of METTL1 shaping immunosuppressive tumor microenvironment after insufficient RFA (iRFA).By immunohistochemistry and multiplex immunofluorescence (mIF) staining, showed that expression enhanced...
Predicting protein–ligand binding affinity is a central issue in drug design. Various deep learning models have been published recent years, where many of them rely on 3D complex structures as input and tend to focus the single task reproducing affinity. In this study, we developed graph neural network model called PLANET (Protein–Ligand Affinity prediction NETwork). This takes graph-represented structure pocket target protein 2D chemical ligand molecule input. It was trained through...
Intrahepatic cholangiocarcinoma (ICC) is a deadly cancer with rapid tumor progression. While hyperactive mRNA translation caused by mis-regulated or tRNA modifications promotes ICC development, the role of rRNA remains elusive. Here, we found that 18S m
Theranostic imaging, where diagnosis is combined with therapy, particularly suitable for a disease that as complex cancer, especially now genomic and proteomic profiling can provide an extensive "fingerprint" of each tumor. With such information, theranostic agents be designed to personalize treatment minimize damage normal tissue. Here we have developed nanoplex platform imaging prostate cancer (PCa). In these proof-of-principle studies, therapeutic containing multimodal reporters was...
This paper presents our research in battery State of Charge (SOC) estimation for intelligent management. Our focus is to investigate online dynamic SOC using a combination Kalman filtering and neural network. First, we developed method model hysteresis effects Extended Filter (EKF). Secondly, designed model, NN-EKF that incorporates the made by EKF into The proposed methods have been evaluated real data acquired from two different batteries, lithium-ion U1-12XP NiMH with 1.2 V 3.4 Ah....
Three triazine-based europium(III) complexes were synthesized that demonstrated strong two-photon induced europium emission with a high absorption cross-section. The modified triazine ligand of complex 3 initiated over 100% enhancement the cross-section (σ2: 320 GM) when compared 1 128 in solution DMSO. Europium is also stable vitro, and power-dependence curves obtained vitro to confirm two-photon-induced f–f HeLa cells.
The ability to destroy cancer cells while sparing normal tissue is highly sought after in therapy. Small interfering RNA (siRNA)-mediated silencing of cancer-cell-specific targets and the use a prodrug enzyme delivered tumor convert nontoxic an active drug are two promising approaches achieving this goal. Combining both into single treatment strategy can amplify selective targeting tissue. Noninvasive imaging assist optimizing such by determining effective delivery siRNA time administration...
Purpose: Effective in vivo delivery of siRNA to silence genes is a highly sought-after goal the treatment multiple diseases. Cyclooxygenase-2 (COX-2) major mediator inflammation and its effective specific downregulation has been interest treat conditions ranging from auto-immune diseases gastric cancer. Here we developed novel efficient method produce imaging reporter labeled cationic dextran nanopolymer with cleavable positive charge groups for COX-2 delivery. Methods: Small molecules...
The inhibition of immune checkpoints such as programmed cell death ligand-1 (PD-L1/CD274) with antibodies is providing novel opportunities to expose cancer cells the system. Antibody based checkpoint blockade can, however, result in serious autoimmune complications because normal tissues also express checkpoints. As sequence-specific gene-silencing agents, availability siRNA has significantly expanded specificity and range "druggable" targets making them promising agents for precision...
This paper presents our research in battery SOC estimation for intelligent management. We developed a algorithm based on Extended Kalman Filter to model hysteresis effects. The proposed method has been evaluated using data acquired from two different batteries, lithium-ion U1-12XP and NiMH with 1.2V 3.4 Ah. Our experiments show that method, which models separated charge discharge OCV curves gave the top performances estimating both batteries when compared other advanced methods.
Although small interfering RNA (siRNA) therapy has proven to be a specific and effective treatment in cells, the delivery of siRNA is challenge for applications therapy. We present degradable dextran with amine groups as an nano-carrier. In our nano-carrier, are conjugated platform through acetal bonds, which acid sensitive. Therefore this carrier stable neutral basic conditions, while can cleaved released from under weak conditions (such endosomes). The cleavage release reduce toxicity...
Abstract Microbubbles (MB) are widely used as contrast agents to perform contrast-enhanced ultrasound (CEUS) imaging and acoustic amplifiers of mechanical bioeffects incited by therapeutic-level ultrasound. The distribution MBs in the brain is not yet fully understood, thereby limiting intra-operative CEUS guidance or MB-based FUS treatments. In this paper we describe a robust platform for quantification MB human brain, allowing quantitatively discriminate between tumoral normal tissues...
Preoperative evaluation of microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC) is important for surgical strategy determination. We aimed to develop and establish a preoperative predictive model MVI status based on DNA methylation markers.A total 35 HCC tissues the matched peritumoral normal liver as well corresponding patients' plasma samples 24 healthy were used genome-wide sequencing subsequent haplotype block (MHB) analysis. Predictive models constructed selected...
Abstract Predicting protein-ligand binding affinity is a central issue in drug design. Various deep learning models have been developed recent years to tackle this issue, but many of them merely focus on reproducing the known binders. In study, we graph neural network model called PLANET (Protein-Ligand Affinity prediction NETwork). This takes graph-represented 3D structure pocket target protein and 2D chemical ligand molecule as input, it was trained through multi-objective process with...