Dynamic single-cell analysis instrument to evaluate immune cell function

动态单细胞分析仪评估免疫细胞功能

基本信息

批准号：
10699036
负责人：
Laurence J.N. Cooper
金额：
$ 32.43万
依托单位：
CELLCHORUS INC.
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-05-01 至 2024-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10699036
关键词：
Academia Adoption Algorithms Antibodies Apoptosis Area Artificial Intelligence Basic Science Behavior Biological Assay Biological Products Biology Cell Communication Cell Therapy Cell physiology Cells Cellular Morphology Cellular biology Characteristics Classification Communicable Diseases Computer software Cytometry Data Analyses Detection Development Discipline Disease Effector Cell Elements Flow Cytometry Frequencies Genomics Heterogeneity Image Immune Individual Industry Institution Label Laboratories Letters Link Manufacturer Measures Medical Microscopy Modality Modeling Molecular Profiling Movement Network-based Noise Nuclear Translocation Oncology Organelles Output Peer Review Performance Pharmaceutical Preparations Phase Property Protein Analysis Protein Secretion Protein translocation Proteins Publications Reagent Research Research Contracts Research Personnel Resolution Science Scientist Service delivery model Signal Transduction Software Tools Supervision Synapses T-Lymphocyte Techniques Technology Testing Therapeutic Therapeutic antibodies Time Training Tube Vaccines artificial intelligence algorithm biopharmaceutical industry cell behavior cell motility cell type clinical biomarkers clinical development cluster computing commercial application commercialization cytokine cytotoxicity design experimental study flexibility image processing improved individual variation instrument instrumentation interest live cell imaging manufacture manufacturing facility microscopic imaging migration nano neural network novel therapeutics preclinical development programs prototype single cell analysis single cell sequencing single-cell RNA sequencing spatiotemporal success technology development transcriptomics trend user-friendly

项目摘要

7. Project Summary/Abstract Recent decades have been marked by a revolution in single-cell analytical techniques, instruments and software tools that have markedly improved our understanding of biology. A high-profile example has been the emergence of single-cell sequencing to move from bulk genomic and transcriptomic analysis to single-cell resolution that reveals the heterogeneity of individual cells. Similar trends have been observed in protein analysis, spatial transcriptomics, and other disciplines. However, there remains a critical unmet need in understanding individual cellular function, movement, interactions, and other measures of performance. The genesis of cells as living drugs requires the development of technologies that can characterize the function and performance of massive numbers of cells at single-cell resolution to support development of new therapies and clinical biomarkers. Unfortunately, existing technologies are either not scalable, are cell-destructive and so cannot evaluate cells and their interactions over time, or do not provide single-cell resolution. CellChorus® evaluates the performance and interactions of thousands of individual cells by applying Time- lapse Imaging Microscopy in Nanowell Grids (TIMING™) with neural network-based artificial intelligence (AI) to identify, track, and characterize behaviors and interactions of disease cells together with T-cells and other effector cells. The platform has been validated technically and commercially in an academic setting and an early access laboratory, but this model does not scale. We will develop and rigorously validate a Chronos™ instrument that delivers dynamic single-cell analysis based on the TIMING platform and applying our existing AI software and algorithms. The Chronos instrument will allow scientists, researchers, and manufacturing experts to apply dynamic single-cell analysis to catalyze development and manufacture of novel therapies in infectious diseases, oncology, and other medical sciences.

7. 项目总结/摘要近几十年来，单细胞分析技术、仪器和技术发生了革命。软件工具显着提高了我们对生物学的理解。单细胞测序的出现从批量基因组和转录组分析转向单细胞分析揭示单个细胞异质性的分辨率在蛋白质中也观察到了类似的趋势。分析、空间转录组学和其他学科。然而，在了解个体细胞功能、运动、相互作用和其他性能衡量标准细胞作为活药物的起源需要开发能够表征大量细胞功能和性能的技术不幸的是，以单细胞分辨率支持新疗法和临床生物标志物的开发。现有技术要么不可扩展，要么具有细胞破坏性，因此无法评估细胞及其随着时间的推移相互作用，或不提供单细胞分辨率。 CellChorus® 通过应用时间评估数千个单个细胞的性能和相互作用纳米孔网格中的成像显微镜 (TIMING™) 与基于神经网络的人工智能 (AI) 识别、跟踪和表征疾病细胞与 T 细胞和其他细胞的行为和相互作用该平台已在学术环境和商业环境中得到了技术和商业验证。早期访问实验室，但此模型无法扩展。我们将开发并严格验证可提供动态单细胞分析的 Chronos™ 仪器基于TIMING平台并应用我们现有的AI软件和算法。将使科学家、研究人员和制造专家能够应用动态单细胞分析来催化传染病、肿瘤学和其他医学领域的新疗法的开发和制造。