A5100773985- Advanced biosensing and bioanalysis techniques
- Geochemistry and Geochronology of Asian Mineral Deposits
- Geological and Geochemical Analysis
- Cancer-related molecular mechanisms research
- Advanced Nanomaterials in Catalysis
- Machine Learning in Bioinformatics
- Lanthanide and Transition Metal Complexes
- Nanoplatforms for cancer theranostics
- Adipose Tissue and Metabolism
- Anesthesia and Neurotoxicity Research
- Machine Learning in Materials Science
- Circular RNAs in diseases
- Extracellular vesicles in disease
- Inflammation biomarkers and pathways
- Regulation of Appetite and Obesity
- COVID-19 epidemiological studies
- Advanced Biosensing Techniques and Applications
- Bone health and osteoporosis research
- Single-cell and spatial transcriptomics
- Biosensors and Analytical Detection
- Complex Network Analysis Techniques
- Congenital heart defects research
- Nanopore and Nanochannel Transport Studies
- Bone health and treatments
- MicroRNA in disease regulation
First Affiliated Hospital of Wenzhou Medical University
2025
Wenzhou Medical University
2025
University of Science and Technology of China
2023-2024
Beijing Institute of Technology
2015-2024
Shandong Normal University
2021-2023
Shanghai Normal University
2020
Nanjing Drum Tower Hospital
2019
Yale University
2019
National Center for Nanoscience and Technology
2015
Center for NanoScience
2015
Multifunctional aptamer–ZnO–Dox nanoconjugates have been successfully constructed for targeted photocatalytic and chemotherapy against cancer cells.
Lgr5+ cochlear supporting cells (SCs) have been reported to be hair cell (HC) progenitor that the ability regenerate HCs in neonatal mouse cochlea, and these are regulated by Wnt signaling. Frizzled-9 (Fzd9), one of receptors, has used mark neuronal stem brain together with other markers mesenchymal from human placenta bone marrow. Here we Fzd9-CreER mice lineage label trace Fzd9+ postnatal cochlea order investigate characteristic cells. Lineage labeling showed inner phalangeal (IPhCs),...
Abstract Reperfusion therapy, employed in the treatment of acute stroke, frequently proves to be inadequate addressing primary brain tissue injury and may even give rise secondary damage. The study introduces a satellite nanoparticle platform named MEps, which combine neural repair properties bone marrow mesenchymal stem cell exosomes (Exos) with inflammatory site‐targeting abilities macrophage membranes (MMs). MMs Exos MEps act like satellites, ensuring precise positioning information...
Densitometric analysis is often used to quantify NaV1.1 protein on immunoblots, although the sensitivity and dilution linearity of method are usually poor. Here we present a protocol for quantification in mouse brain tissues using Meso Scale Discovery-Electrochemiluminescence (MSD-ECL) method. MSD-ECL based ELISA (enzyme-linked immunosorbent assay) uses electrochemiluminescence produce measurable signals. Two different antibodies this assay capture detect respectively tissue lysate. The...
Single-cell omics techniques have made it possible to analyze individual cells in biological samples, providing us with a more detailed understanding of cellular heterogeneity and systems. Accurate identification cell types is critical for single-cell RNA sequencing (scRNA-seq) analysis. However, scRNA-seq data are usually high dimensional sparse, posing great challenge data. Existing cell-type annotation methods either constrained modeling or lack consideration long-term dependencies...
The ability of compounds to pass through the blood-brain barrier is an important factor in drug development related central nervous system. Therefore, predicting permeability at high throughput and providing appropriate candidate are crucial for drugs. Although traditional experimental methods can also predict compounds, they costly have long time cycle. To assist research, this article proposes a neural network model using deep learning algorithm complete task names it DL_BBBP. In DL_BBBP,...
The majority of proteins in organisms function through protein-protein interactions (PPIs). Moreover, specific amino acid mutations on these may alter their functionality, which turn impact with other proteins. investigation the effect protein can be possible by using numerical index change binding affinity (ΔΔG). conventional lab experiments to determine ΔΔG values are both inefficient and costly. In recent years, machine learning deep techniques have been developed for rapid prediction...