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

• 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
• 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

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。项目摘要/摘要 近几十年来，单细胞分析技术，工具和工具的革命标志着 已经显着提高了我们对生物学的理解的软件工具。一个引人注目的例子是 单细胞测序的出现，从散装基因组和转录组分析转变为单细胞 揭示单个细胞异质性的分辨率。在蛋白质中观察到了类似的趋势 分析，空间转录组学和其他学科。 但是，在理解单个细胞功能，运动， 互动和其他绩效衡量标准。细胞作为活力的生成需要 能够表征大量细胞功能和性能的技术的开发 单细胞分辨率以支持新疗法和临床生物标志物的开发。很遗憾， 现有技术要么是不可伸缩的，要么是细胞破坏性的，因此无法评估细胞及其 随着时间的流逝，或不提供单细胞分辨率。 CellChorus®通过应用时间来评估数千个单个细胞的性能和相互作用 带有神经网络的人工智能（AI）的纳米维尔网格（Timing™）中的衰减成像显微镜 识别，跟踪和表征疾病细胞与T细胞和其他疾病细胞的相互作用 效应细胞。该平台在学术环境中在技术和商业上得到了验证， 早期访问实验室，但该模型没有扩展。 我们将开发并严格验证Chronos™仪器，该仪器提供动态单细胞分析 基于定时平台并应用我们现有的AI软件和算法。计时仪器 将允许科学家，研究人员和制造专家应用动态的单细胞分析来催化 在传染病，肿瘤学和其他医学科学方面的新疗法的开发和制造。