A5014266970- CAR-T cell therapy research
- CRISPR and Genetic Engineering
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Single-cell and spatial transcriptomics
- Circular RNAs in diseases
- Cytomegalovirus and herpesvirus research
- Advancements in Semiconductor Devices and Circuit Design
- Cancer Immunotherapy and Biomarkers
- Nanowire Synthesis and Applications
- Angiogenesis and VEGF in Cancer
- Evaluation and Optimization Models
- Vehicle Routing Optimization Methods
- Urban and Freight Transport Logistics
- MicroRNA in disease regulation
- Virus-based gene therapy research
- Advanced Manufacturing and Logistics Optimization
University of California, San Francisco
2021-2024
Gladstone Institutes
2021-2024
University of California, Davis
2019
Wuhan University of Technology
2014
The efficacy of adoptive T cell therapies for cancer treatment can be limited by suppressive signals from both extrinsic factors and intrinsic inhibitory checkpoints1,2. Targeted gene editing has the potential to overcome these limitations enhance therapeutic function3-10. Here we performed multiple genome-wide CRISPR knock-out screens under different immunosuppressive conditions identify genes that targeted prevent dysfunction. These converged on RASA2, a RAS GTPase-activating protein...
Chronic stimulation can cause T cell dysfunction and limit the efficacy of cellular immunotherapies. Improved methods are required to compare large numbers synthetic knockin (KI) sequences reprogram functions. Here, we developed modular pooled KI screening (ModPoKI), an adaptable platform for construction DNA libraries using barcoded multicistronic adaptors. We built two ModPoKI 100 transcription factors (TFs) 129 natural surface receptors (SRs). Over 30 screens across human TCR- CAR-T cells...
The ability of cells to maintain distinct identities and respond transient environmental signals requires tightly controlled regulation gene networks
Abstract The ability of individual cells to maintain a distinct identity and respond transient environmental signals requires tightly controlled regulation gene networks. However, how discrete sets regulators coordinate dynamic circuits remains poorly defined. need for context-dependent is prominent in human CD4+ T cells, where cell lineages must diverse orchestrate effective adaptive immune responses homeostasis. We performed CRISPR screens multiple primary contexts identify that control...
Abstract CRISPR-Cas9 offers unprecedented opportunities to modify genome sequences in primary human cells study disease variants and reprogram cell functions for next-generation cellular therapies. CRISPR has several potential advantages over widely used retroviral vectors including: 1) site-specific transgene insertion via homology directed repair (HDR), 2) reductions the cost complexity of modification. Despite rapid progress with ex vivo engineering, many novel research clinical...
SUMMARY Chronic stimulation can cause T cell dysfunction and limit efficacy of cellular immunotherapies. CRISPR screens have nominated gene targets for engineered cells, but improved methods are required to compare large numbers synthetic knockin sequences reprogram functions. Here, we developed Modular Pooled Knockin Screening (ModPoKI), an adaptable platform modular construction DNA libraries using barcoded multicistronic adaptors. We built two ModPoKI 100 transcription factors (TFs) 129...
According to the coupling relationship of goods transport attributes (goods value, transportation forms, batch, volume and weight, distance, risk, container suitability timeliness) services (transportation costs, time, punctuality, quality, security frequency ), are divided into six categories by Quantitative Theory III: time-sensitive goods, containerized general break-bulk hazardous long heavy , bulk goods. It provides new idea way classification which can give reference for other similar...
Applying transportation planning theory and operations research method , this paper proposes the layout model of integrated freight hub with two-stage which first builds a to predict attributes aiming for optimization regional organization then works out way classify district based on Hierarchical cluster. Eventually, take specific example empirical study.