Shared Resource Core: Computational and technology development for spatial expression analysis.

共享资源核心：空间表达分析的计算和技术开发。

• 批准号: 10525196
• 负责人: Dana Pe'er
• 金额: $ 33.93万
• 依托单位: SLOAN-KETTERING INST CAN RESEARCH
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-16 至 2027-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10525196
• 关键词: Address; Architecture; Bayesian Analysis; Bayesian Method; Benchmarking; Biological; Cell Communication; Cells; Communities; Complex; Computing Methodologies; Custom; Data; Data Analyses; Emerging Technologies; Functional disorder; Generations; Genetic Transcription; Genomics; Goals; Image; Immune; Immune system; Measurement; Memorial Sloan-Kettering Cancer Center; Methods; Modeling; Molecular; Morphologic artifacts; Neighborhoods; Phenotype; Play; Population; Proteins; RNA; Research; Resolution; Resource Sharing; Role; System; Systems Biology; Technology; Tissues; Transcript; Ursidae Family; Work; cell type; computerized data processing; data analysis pipeline; data integration; deep learning; denoising; digital; genome-wide; genomic data; improved; intercellular communication; learning strategy; method development; multiplexed imaging; new technology; protein profiling; success; technology development; tissue mapping; tool; transcriptome; transcriptomics; tumor; tumor microenvironment; tumor-immune system interactions

Shared Resource Core. Computational and technology development for spatial expression analysis SUMMARY The Shared Resource Core will support the CSBC Research Center for Tumor-Immune Systems Biology by bringing the latest generation of profiling technologies to bear on all three scientific Projects. Emerging spatial technologies are providing powerful means of interrogating the cancer microenvironment and assessing tumor- immune interactions in tissue context. The Shared Core will deliver a set of key technologies, including targeted methods for multiplexed protein and RNA transcript measurement at subcellular spatial resolution, and lower- resolution transcriptome-scale approaches. These platforms have already been established in-house and will be further optimized for the contexts contained in this proposal. The Shared Resource Core will make these approaches available across Projects and work to optimize and customize for each tissue and biological question, in addition to disseminating tools broadly in the community.

共享资源核心。空间表达的计算和技术开发 分析 概括 共享资源核心将通过以下方式支持 CSBC 肿瘤免疫系统生物学研究中心 将最新一代的分析技术应用于所有三个科学项目。新兴空间 技术正在提供强大的手段来探究癌症微环境和评估肿瘤 组织环境中的免疫相互作用。共享核心将提供一系列关键技术，包括有针对性的 在亚细胞空间分辨率下进行多重蛋白质和 RNA 转录测量的方法，以及较低的 分辨率转录组规模的方法。这些平台已经在内部建立，并将 针对该提案中包含的背景进行了进一步优化。共享资源核心将使这些 跨项目可用的方法，并致力于针对每个组织和生物进行优化和定制 除了在社区中广泛传播工具之外，还应解决这个问题。