A5040143925- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Nanoplatforms for cancer theranostics
- Machine Learning in Materials Science
- Machine Learning in Bioinformatics
- Innovative Microfluidic and Catalytic Techniques Innovation
- Computational Drug Discovery Methods
- Extracellular vesicles in disease
- Cancer Research and Treatments
- Nanowire Synthesis and Applications
- Microfluidic and Capillary Electrophoresis Applications
- DNA and Nucleic Acid Chemistry
- CRISPR and Genetic Engineering
- Nanopore and Nanochannel Transport Studies
- Single-cell and spatial transcriptomics
- Cancer Cells and Metastasis
- Microfluidic and Bio-sensing Technologies
- Glioma Diagnosis and Treatment
- Pancreatic and Hepatic Oncology Research
- Photoacoustic and Ultrasonic Imaging
- Cell Image Analysis Techniques
- Liver Disease Diagnosis and Treatment
- Scientific Computing and Data Management
- Mesenchymal stem cell research
- Biomedical Text Mining and Ontologies
National Center for Nanoscience and Technology
2023-2025
University of Chinese Academy of Sciences
2023-2025
Qingdao University
2025
Affiliated Hospital of Qingdao University
2025
Beijing Academy of Artificial Intelligence
2025
Center for NanoScience
2025
Tsinghua University
2018-2024
Rockefeller University
2015-2022
Abstract DNA nanostructures have played an important role in the development of novel drug delivery systems. Herein, we report a origami‐based CRISPR/Cas9 gene editing system for efficient therapy vivo. In our design, PAM‐rich region precisely organized on surface origami can easily recruit and load sgRNA/Cas9 complex by PAM‐guided assembly pre‐designed DNA/RNA hybridization. After loading complex, be further rolled up locking strands with disulfide bond. With incorporation aptamer influenza...
Chemodynamic therapy (CDT) is a promising and potent therapeutic strategy for the treatment of cancer. We developed DNA origami–based enzymatic cascade nanoreactor (DOECN) containing spatially well-organized Au nanoparticles ferric oxide (Fe 2 O 3 ) nanoclusters targeted delivery inhibition tumor cell growth. The DOECN can synergistically promote generation hydrogen peroxide (H ), consumption glutathione, creation an acidic environment, thereby amplifying Fenton-type reaction producing...
Background: In real-world drug discovery, human experts typically grasp molecular knowledge of drugs and proteins from multimodal sources including structures, structured bases, unstructured biomedical literature. Existing approaches in AI discovery integrate either or independently, which compromises the holistic understanding biomolecules. Besides, they fail to address missing modality problem, where information is for novel proteins. Methods: this work, we present KEDD, a unified,...
Foundation models (FMs) have exhibited remarkable performance across a wide range of downstream tasks in many domains. Nevertheless, general-purpose FMs often face challenges when confronted with domain-specific problems, due to their limited access the proprietary training data particular domain. In biomedicine, there are various biological modalities, such as molecules, proteins, and cells, which encoded by language life exhibit significant modality gaps human natural language. this paper,...
Recent advances in large language models (LLMs) like ChatGPT have shed light on the development of knowledgeable and versatile AI research assistants various scientific domains. However, they fall short biomedical applications due to a lack proprietary knowledge deficiencies handling biological sequences for molecules proteins. To address these issues, we present BioMedGPT, multimodal model assisting research. We first incorporate domain expertise into LLMs by incremental pre-training...
Integrating multimodal data can uncover causal features hidden in single-modality analyses, offering a comprehensive understanding of disease complexity. This study introduces fusion subtyping (MOFS) framework that integrates radiological, pathological, genomic, transcriptomic, and proteomic from 122 patients with IDH-wildtype adult glioma, identifying three subtypes: MOFS1 (proneural) favorable prognosis, elevated neurodevelopmental activity, abundant neurocyte infiltration; MOFS2...
We presented an engineered DNA origami nanodrill that is capable of controlled attachment and penetration the plasma membrane, thereby inducing cell damage lytic death. The cap-and-stem-like nanodrills were constructed, equipping them with addressable cholesterol tags on their caps for adherence to lipid bilayers. subsequent insertion stems was initiated, enabling generation distinct transmembrane channels in various artificial biological membranes. These plasma-membrane-disrupting functions...
The fat-to-muscle mass ratio (FMR) has served as a marker for various diseases. This study aimed to explore sex-specific associations between FMR in different body regions (whole body, trunk, arm, and leg) cancer incidence. We included 435,986 cancer-free participants (203,133 men 232,853 women) from the UK Biobank at baseline. was calculated of fat muscle each region. Multivariable Cox proportional hazards models, along with models incorporating restricted cubic splines (RCS) function, were...
Abstract Patient-derived tumor organoids (PDOs) have emerged as a reliable in vitro model for drug discovery. However, RNA sequencing-based analysis of PDOs treated with drugs has not been realized high-throughput format due to the limited quantity organoids. Here, we translated newly developed pooled RNA-seq methodology onto superhydrophobic microwell array chip realize an assay genome-wide output unified phenotypic data (Grouped-seq). Over 10-fold reduction sample and reagent consumption...
Abstract Precise design and control of molecular self‐assembly as living creatures are exciting ideas in the field nanotechnology. Characterized with predesigned geometries accurate spatial addressability, programmable DNA origami nanostructures have been recognized optimized tools for assembling multiple functional components. A variety biomolecules can be attached to nanoscale drawing boards a site‐specific fashion, thus facilitating precise construction origami‐based materials studies on...
Cell identity encompasses various semantic aspects of a cell, including cell type, pathway information, disease and more, which are essential for biologists to gain insights into its biological characteristics. Understanding from the transcriptomic data, such as annotating types, have become an important task in bioinformatics. As these determined by human experts, it is impossible AI models effectively carry out understanding tasks without supervision signals provided single-cell label...
A major challenge for stem cell therapies, such as using mesenchymal cells to treat skin injuries, is the stable engraftment of exogenous and maintenance their regenerative capacities in wound areas. DNA-based self-assembly strategies can be used artificial multifunctional surface engineering stabilize enhance functions therapeutic applications. Here, we developed DNA nanofiber-decorated cells, which DNA-based, multivalent fiber-like structures were self-assembled situ on surfaces. These...
Microfluidic systems have been regarded as a potential platform for high-throughput screening technology in drug discovery due to their low sample consumption, high integration, and easy operation. The handling of small-volume liquid is an essential operation microfluidic systems, especially investigating large-scale combination conditions. Here, we develop nanoliter centrifugal dispenser (NanoCLD) coupled with superhydrophobic microwell array chips cell-based assays the scale. NanoCLD...
Abstract DNA nanostructures have played an important role in the development of novel drug delivery systems. Herein, we report a origami‐based CRISPR/Cas9 gene editing system for efficient therapy vivo. In our design, PAM‐rich region precisely organized on surface origami can easily recruit and load sgRNA/Cas9 complex by PAM‐guided assembly pre‐designed DNA/RNA hybridization. After loading complex, be further rolled up locking strands with disulfide bond. With incorporation aptamer influenza...
In recent years, AI models that mine intrinsic patterns from molecular structures and protein sequences have shown promise in accelerating drug discovery. However, these methods partly lag behind real-world pharmaceutical approaches of human experts additionally grasp structured knowledge bases unstructured biomedical literature. To bridge this gap, we propose KEDD, a unified, end-to-end, multimodal deep learning framework optimally incorporates both for vast discovery tasks. The first...
The field of pharmaceutical development and therapeutic application both face substantial challenges. Therapeutic domain calls for more treatment alternatives while numerous promising pre-clinical drugs fail in clinical trails. One the reasons is inadequacy Cross-drug Response Evaluation (CRE) during late stage drug development. Although in-silico CRE models offer a solution to this problem, existing methodologies are either limited early stages or lack capacity comprehensive analysis....