Spatial genomics analysis of tumor samples

肿瘤样本的空间基因组学分析

基本信息

批准号：
10761582
负责人：
Kirsten Frieda
金额：
$ 99.85万
依托单位：
SPATIAL GENOMICS, 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：
2023-09-01 至 2025-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10761582
关键词：
Acceleration Address Adoption Antibodies Bar Codes Biological Markers Biopsy Specimen CTLA4 gene Cancer Diagnostics Cell Communication Cells Clinical Complement Complex Computer software Data Development Diagnostic Diagnostics Research Disease Progression Epidermal Growth Factor Receptor Fibroblasts Fluorescent in Situ Hybridization Gene Order Genes Genomics Geographic Distribution Geography Glioblastoma Hypoxia Image Immune Immune Targeting Immunofluorescence Immunologic In Situ Mammary Neoplasms Maps Marketing Medical Research Messenger RNA Methods Molecular Molecular Profiling Neighborhoods Neuroblastoma Nucleic Acids Oligonucleotides Pathology Phase Population Population Heterogeneity Post-Translational Protein Processing Process Processed Genes Proliferating Proteins RNA Reagent Research Research Personnel Resolution Sampling Scanning Signal Pathway Signal Transduction Slice Slide Spatial Distribution System Technology Testing Time Tissues Transcript Tumor Subtype Tumor Tissue Validation Visualization antibody conjugate cancer biomarkers cancer imaging cell type clinical diagnostics commercialization cytokine exhaustion experimental study flexibility human imaging in-vitro diagnostics instrument instrumentation malignant breast neoplasm molecular marker multiple omics neoplastic cell programmed cell death protein 1 ratiometric receptor single molecule tool tumor tumor growth tumor microenvironment

项目摘要

SUMMARY Imaging the tumor microenvironment (TME) is key to understanding tumor growth, disease progression and therapy options. The TME often consists of a complex neighborhood of diverse populations of immune cells, fibroblasts, and tumors cells. Little is known about the “geography” of the tumors and the spatial organization of the distinct cell types. The ability to rapidly identify different cell types and tumor subtypes using molecular markers will be transformative for cancer diagnostics. At Spatial Genomics, we are commercializing technology that allows transcript profiling in tumor samples. With this technology, cell types in situ and spatial organizations can be directly identified and visualized in tumor tissue slices. These capabilities provide a powerful tool for examining the different cell types and their interactions in the tumor microenvironment. In this proposal, we will develop the reagents, instrumentation, and the associated software that will allow researchers to perform spatial mapping experiments in tumor slices.

概括肿瘤微环境 (TME) 成像是了解肿瘤生长、疾病的关键 TME 通常由不同的复杂区域组成。人们对免疫细胞、成纤维细胞和肿瘤细胞的“地理”知之甚少。肿瘤和不同细胞类型的空间组织的快速识别能力。使用分子标记的不同细胞类型和肿瘤亚型将为癌症带来变革诊断。在 Spatial Genomics，我们正在将允许肿瘤转录谱分析的技术商业化通过该技术，可以直接识别原位细胞类型和空间组织。并在肿瘤组织切片中可视化，这些功能为检查肿瘤提供了强大的工具。不同的细胞类型及其在肿瘤微环境中的相互作用。开发试剂、仪器和相关软件，使研究人员能够在肿瘤切片中进行空间绘图实验。