Multi-color laser particles for high-throughput pooled analysis

用于高通量混合分析的多色激光颗粒

基本信息

批准号：
10713533
负责人：
Seok-Hyun Andy Yun
金额：
$ 56.14万
依托单位：
MASSACHUSETTS GENERAL HOSPITAL
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：
2023-06-01 至 2027-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10713533
关键词：
Antibodies Bar Codes Binding Biological Biological Assay Cell Survival Cell surface Cells Characteristics Color DNA Data Development Disease Event Flow Cytometry Fluorescence Future Genes Goals Hydrogels Immunoassay Immunotherapy Industry Standard Investigation Knowledge Lasers Lead Libraries Light Measures Methods Microfluidics Microspheres Optics Outcome Pathway interactions Peptide Hydrolases Pharmaceutical Preparations Phenotype Polystyrenes Probability Process Readability Reagent Research Resort Sampling Semiconductors Sorting Speed Surface Technology Time Toxic effect combinatorial cost cytokine data acquisition drug candidate drug development drug discovery efficacy evaluation high throughput analysis high throughput screening high throughput technology meter new technology novel novel therapeutics particle screening screening program tool

项目摘要

Abstract High-throughput analysis of a large number of samples can greatly benefit from sampling barcoding as it can significantly reduce reagent costs and batch error as well as increasing the acquisition speed. Optical barcoding with its readout compatible with fluorescence analysis offers compelling advantages over DNA barcoding because it allows rapid multiparameter analysis of each sample and does not rely on a binary ‘hit’ or ‘miss’ criterion. However, current fluorescence- based barcoding does not meet the current and future needs of massive-scale multiplexing. The goal of this project is to develop novel, highly scalable, optical multiplexing technology based on multi-color laser particles. A combination of several discoidal microparticles, each emitting a narrowband laser spectrum, can be tagged on the surface of cells or microbeads and serve as the unique identifiers of the objects. The first specific aim is to develop 50 color sets of semiconductor laser particles across a spectral range of 1150 to 1600 nm via microfluidic particle sorting. The second specific aim develops applications of this new tool in three major high- throughput analysis platforms: first, multiparameter flow cytometry of 384-pooled cell samples; second, 3840-plex bead immunoassays; and third, all-optical multiparameter screening of combinatorial one-bead-one-compound libraries. The breakthroughs in these high-throughput technologies are expected to facilitate numerous biological discovery applications including drug development.

抽象的大量样品的高通量分析可以极大地受益于采样条形码，因为它可以显着降低试剂成本和批次错误，并提高光学条形码的读取速度与荧光分析兼容。与 DNA 条形码相比具有显着优势，因为它可以快速进行多参数分析每个样本并不依赖于二元“命中”或“未命中”标准。基于条形码的技术不能满足当前和未来大规模复用的需求。该项目的目标是开发基于多色激光粒子。由多个盘状微粒组成，每个微粒发射一种光。窄带激光光谱，可以标记在细胞或微珠表面，作为第一个具体目标是开发 50 组颜色。通过微流体颗粒产生光谱范围为 1150 至 1600 nm 的半导体激光颗粒第二个具体目标是开发这种新工具在三个主要高端领域的应用。通量分析平台：一是384个混合细胞样本的多参数流式细胞仪；第二，3840 重微珠免疫分析；第三，全光学多参数筛选；这些高通量的组合一珠一化合物库的突破。预计技术将促进许多生物发现应用，包括药物发展。