A5023142373- Genetic Associations and Epidemiology
- Nanoplatforms for cancer theranostics
- Gene expression and cancer classification
- Genetic Mapping and Diversity in Plants and Animals
- Advanced Nanomaterials in Catalysis
- Immunotherapy and Immune Responses
- Genetics and Plant Breeding
- Advanced Drug Delivery Systems
- Synthesis of Organic Compounds
- Genomics and Chromatin Dynamics
- Nanoparticle-Based Drug Delivery
- Advancements in Transdermal Drug Delivery
- Single-cell and spatial transcriptomics
- RNA and protein synthesis mechanisms
- Phagocytosis and Immune Regulation
- Genomic variations and chromosomal abnormalities
- RNA Interference and Gene Delivery
- Genetic and phenotypic traits in livestock
- Chemokine receptors and signaling
- Immune Cell Function and Interaction
- Virus-based gene therapy research
- Immune cells in cancer
- Lipid Membrane Structure and Behavior
- Bioinformatics and Genomic Networks
- Gold and Silver Nanoparticles Synthesis and Applications
China Pharmaceutical University
2020-2024
State Key Laboratory of Natural Medicine
2023-2024
University of Calgary
2023-2024
Nanjing University
2023
Natural killer (NK) cell therapies, primarily based on chimeric antigen receptor NK cells (CAR-NK), have been developed and applied clinically for therapeutic treatment of patients with mid-to-late-stage tumors. However, therapy has limited efficacy due to insufficient expression the tumor surface. Here, a universal "illuminate homogenization properties" (ITHAP) strategy achieve stable controlled surface using nanomedicine, thus significantly enhancing immune recognizability cells, is...
Accurate imaging and precise treatment are critical to controlling the progression of pancreatic cancer. However, current approaches for cancer theranostics suffer from limitations in tumor specificity invasive surgery. Herein, a cancer-specific phototheranostic modulator (AuHQ) dominated by aggregation-induced emission (AIE) luminogens-tethered gold nanoparticles is meticulously designed facilitate prominent fluorescence-photoacoustic bimodal imaging-guided photothermal immunotherapy. Once...
Genetic interactions play critical roles in genotype-phenotype associations. We developed a novel interaction-integrated linear mixed model (ILMM) that integrates priori knowledge into models. ILMM enables statistical integration of genetic upfront and overcomes the problems searching for combinations. To demonstrate its utility, with 3D genomic (assessed by Hi-C experiments) as priori, we applied to whole-genome sequencing data Autism Spectrum Disorders (ASD) brain transcriptome data,...
As a novel painless and minimally invasive transdermal drug delivery method, microneedles have solved the challenges of microbial infection tissue necrosis associated with multiple subcutaneous injections in patients diabetes. However, traditional soluble cannot switch release on off according to patient's needs during long-term use, which is one most critical elements diabetes treatment. Herein, an insoluble thermosensitive microneedle (ITMN) that can control insulin by adjusting...
In genetic studies, permutation tests serve as a cornerstone to estimate P-values. This is because researchers may design new test statistics without known closed-form distribution, or the assumption of well-established not hold. However, require vast number permutations which proportional magnitude actual When it comes genome-wide association studies where multiple-test corrections are routinely conducted, P-values extremely small, requiring daunting that be beyond available computational...
Detecting genetic variants with low-effect sizes using a moderate sample size is difficult, hindering downstream efforts to learn pathology and estimating heritability. In this work, by utilizing informative weights learned from training genetically predicted gene expression models, we formed an alternative approach estimate the polygenic term in linear mixed model. Our model estimates background incorporating their relevance expression. protocol, expression-directed model, enables discovery...
Abstract Transcriptome-wide association study (TWAS) is an emerging model leveraging gene expressions to direct genotype-phenotype mapping. A key component in TWAS the prediction of expressions; and many statistical approaches have been developed along this line. However, a problem that genes low expression heritability, limiting performance any predictive model. In work, hypothesizing appropriate denoising may improve quality data (including heritability), we propose AE-TWAS, which adds...
Abstract Detecting genetic variants with low effect sizes using a moderate sample size is difficult, hindering downstream efforts to learn pathology and estimating heritability. In this work, by utilizing informative weights learned from training genetically predicted gene expression models, we formed an alternative approach estimate the polygenic term in linear mixed model (LMM). Our LMM estimates background incorporating their relevance expression. protocol, expression-directed (edLMM),...