Abstract A073: CODEXTM: A novel platform for spatially resolved deep antigen profiling of single cells in tissue samples

M. Gallina, Atri Choksi, N. Nikulina, Jaskirat Singh, G. Dakshinamoorthy, Joseph Kim, S. Mistry, J. Kennedy‐Darling
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引用次数: 1

Abstract

The tumor microenvironment (TME) comprises a multitude of cell types that collectively create an immunosuppressive environment, enabling tumor growth. Understanding the spatial organization of these tissues requires a technology that can identify the presence of multiple markers and correlate it to their specific spatial location within the same tissue. Characteristics of the TME including infiltrating immune cells, angiogenesis and the presence of other nonmalignant cells influence important phenomena like drug delivery, treatment effectiveness and, ultimately, clinical outcomes. Current methodologies for analyzing the spatial dimension of tissues, e.g., traditional immunofluorescence (IF) and immunohistochemistry (IHC), are limited to measuring a few parameters simultaneously, thereby restricting the number of phenotypes that can be identified. Conversely, single-cell technologies like mass cytometry and next-generation sequencing-based tools provide multiplexing capabilities, but at the expense of the associated spatial information. Akoya Biosciences, Inc., is commercializing CODEXTM (CO-Detection by indEXing), a multiparameteric imaging platform that allows the simultaneous detection and quantification of dozens of target epitopes in single cells within a single tissue section. This innovative platform is an end-to-end solution that comprises three components: 1) the CODEX fluidics instrument, 2) a suite of specialized CODEX reagents, and 3) an analysis pipeline. The CODEX workflow involves a barcoding system such that each antibody moiety is conjugated to a proprietary tag. Panels of CODEX antibodies are used to stain tissue specimens en masse in a single step. Staining data for sets of antibodies are revealed across iterative cycles using corresponding dye-labeled barcodes. The CODEX fluidics instrument integrates with existing microscope units for a fully automated data collection process. CODEX data are processed to achieve noise reduction and analyzed at the single-cell level through a segmentation algorithm based on nuclear staining.More than 80 antibodies have been validated on the CODEX platform for analysis of human and mouse fresh-frozen and FFPE tissues. Preliminary studies on fresh-frozen tissues with developed antibodies demonstrate an unprecedented capability for revealing the spatial correlation between a variety of target epitopes. These results demonstrate the enormous potential of the CODEX technology to identify spatial correlations in the TME through highly multiplexed detection with single-cell resolution. Citation Format: Maria Elena Gallina, Atri Choksi, Nadya Nikulina, Jaskirat Singh, Gajalakshmi Dakshinamoorthy, Joseph Kim, Sejal Mistry, Julia Kennedy-Darling. CODEXTM: A novel platform for spatially resolved deep antigen profiling of single cells in tissue samples [abstract]. In: Proceedings of the Fourth CRI-CIMT-EATI-AACR International Cancer Immunotherapy Conference: Translating Science into Survival; Sept 30-Oct 3, 2018; New York, NY. Philadelphia (PA): AACR; Cancer Immunol Res 2019;7(2 Suppl):Abstract nr A073.
摘要:CODEXTM:一种用于组织样本中单细胞的空间分辨深度抗原谱分析的新平台
肿瘤微环境(TME)包括多种细胞类型,它们共同创造免疫抑制环境,使肿瘤生长。了解这些组织的空间组织需要一种技术,可以识别多个标记的存在,并将其与同一组织中特定的空间位置相关联。TME的特征包括浸润性免疫细胞、血管生成和其他非恶性细胞的存在,影响药物输送、治疗效果以及最终的临床结果等重要现象。目前用于分析组织空间维度的方法,例如传统的免疫荧光(IF)和免疫组织化学(IHC),仅限于同时测量几个参数,从而限制了可以识别的表型的数量。相反,单细胞技术,如大规模细胞术和下一代基于测序的工具提供了多路复用功能,但以牺牲相关的空间信息为代价。Akoya Biosciences, Inc.正在商业化CODEXTM (CO-Detection by indEXing),这是一种多参数成像平台,可以同时检测和定量单个组织切片内单个细胞中的数十个目标表位。这一创新平台是一个端到端解决方案,由三个部分组成:1)CODEX流体仪器,2)一套专门的CODEX试剂,以及3)分析管道。CODEX工作流程涉及条形码系统,使每个抗体片段与专有标签结合。CODEX抗体组用于一次性对组织标本进行染色。通过使用相应的染料标记条形码,揭示了抗体组的染色数据。CODEX流体仪器与现有的显微镜单元集成,实现全自动数据收集过程。对CODEX数据进行处理以实现降噪,并通过基于核染色的分割算法在单细胞水平上进行分析。已有80多种抗体在CODEX平台上得到验证,用于分析人和小鼠新鲜冷冻组织和FFPE组织。对已开发抗体的新鲜冷冻组织的初步研究表明,在揭示各种靶表位之间的空间相关性方面具有前所未有的能力。这些结果证明了CODEX技术通过单细胞分辨率的高复用检测来识别TME中的空间相关性的巨大潜力。引文格式:Maria Elena Gallina, Atri Choksi, Nadya Nikulina, Jaskirat Singh, Gajalakshmi Dakshinamoorthy, Joseph Kim, Sejal Mistry, Julia Kennedy-Darling。CODEXTM:用于组织样本中单细胞的空间分解深度抗原谱分析的新平台[摘要]。第四届CRI-CIMT-EATI-AACR国际癌症免疫治疗会议:将科学转化为生存;2018年9月30日至10月3日;纽约,纽约。费城(PA): AACR;癌症免疫学杂志2019;7(2增刊):摘要nr A073。
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