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.项目总结/摘要 近几十年来，单细胞分析技术、仪器和方法发生了革命性的变化。 这些软件工具显著提高了我们对生物学的理解。一个引人注目的例子是， 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测序 分辨率显示单个细胞的异质性。在蛋白质中也观察到类似的趋势 分析，空间转录组学和其他学科。 然而，在理解个体细胞功能、运动、 互动，以及其他绩效指标。细胞作为活体药物的起源需要 开发能够表征大量细胞的功能和性能的技术 以单细胞分辨率支持新疗法和临床生物标志物的开发。不幸的是， 现有的技术要么是不可扩展的，要么是细胞破坏性的，因此不能评估细胞及其 随着时间的推移的相互作用，或不提供单细胞分辨率。 CellChorus®通过应用Time- 基于神经网络的人工智能（AI）的纳米网格（TIMING™）中的延时成像显微镜， 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 效应细胞该平台已在学术环境中进行了技术和商业验证， 抢先体验实验室，但这种模式不成规模。 我们将开发并严格验证Chronos™仪器，该仪器可提供动态单细胞分析 基于TIMING平台，应用我们现有的AI软件和算法。Chronos仪器 将允许科学家，研究人员和制造专家应用动态单细胞分析来催化 开发和制造传染病、肿瘤学和其他医学科学的新型疗法。