Data Analysis, Integration, and Sharing Core

项目总结-数据分析核心

Project Summary - Data Analysis Core In close collaboration with the bone marrow Tissue Mapping Core Organ Specific Project (OSP), the data analysis core (DAC) will oversee sample metadata curation, low level data processing and quality control, spatial feature extraction, cross-assay integration, tissue atlas construction, and HIVE data delivery. We will leverage vetted, peer-reviewed data pipelines for scalable processing and analysis of multiplexed tissue imaging data previously that adhere to FAIR data sharing standards and have been constructed to prioritize interoperability and transparency. The DAC will use these tools to construct a multiscale, multimodal atlas of human bone marrow that is contextualized by age, gender, race, and anatomic site. Highly multiplexed subcellular imaging using MIBI-TOF will provide a comprehensive census of bone marrow structure, cell types, and functional states that will be coregistered with de novo spatial glycan imaging and tissue transcriptomics performed on adjacent serial sections using MALDI and Nanostring DSP, respectively. Whole cell segmentation together with single channel protein expression data will be leveraged for cell clustering and annotation in high resolution MIBI-TOF images. Meanwhile, pixel-based approaches will be employed to identify complex phenotypic features in a cell- agnostic manner that can be readily deployed on both MIBI-TOF and MALDI data. These data will be interrogated with respect to cell or pixel-based features to identify composite tissue neighborhoods consisting of recurring combinations of either feature type. Lastly, image co-registration across each modality will permit the spatial distributions of cell subsets characterized by MIBI to be correlated with local glycan composition and transcriptional programs.