Supplement to AMP-AD Brain Proteomic Network Enhancement, Validation and Translation into CSF Biomarkers

母体AMP-AD项目的目标是鉴定皮层组织的蛋白质组学网络并鉴定

The goal of the parent AMP-AD project is to identify proteomic networks from cortical tissue and identify protein co-expression modules that are strongly associated with diagnosis, cognition and neuropathology. These studies hinge on accurate neuropathologic diagnosis and staging of the brain tissue. These assessments typically involve semi-quantitative evaluation of tissues and there is a need for robust, reliable, and scalable deeper phenotyping to provide a firmer foundation for precision medicine approaches. We have developed the Digital Slide Archive (DSA) platform at Emory, which has been funded through a U24 and U01 grants from the NCI/NIH and has primarily been optimized for Cancer related image analysis workflows. In this project, we propose to deploy and customize a web-based instance of our open source management and visualization platform, the Digital Slide Archive (DSA). Ultimately, we will enable collaborative team science and adapt the existing DSA platform for a neuropathologist’s workflow. This will directly enhance the value of our proteomic work by allowing us to better annotate our brain/proteomic samples. In this proposal, we propose enhancing the user interface of the DSA to better accommodate a neuropathologist’s workflow for reviewing brain tissue, and develop an easily installable Neuropath plugin for the DSA. We will also benchmark and optimize our analysis suite (HistomicsTK) on NP slide sides on local and cloud-based computational resources, and prepare tutorials demonstrating how our tools can be used for ADRD related image analysis tasks. These aims paired with the complementary and synergistic expertise of our informatics, pathology, and engineering will aid in development of robust, scalable, reliable, and sharable platforms to provide a foundation for innovative transformative science addressing a critical unmet need in neurodegenerative disease research.