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NOBEL PRIZE 2026

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NIHNATIONAL INSTITUTE ON AGING

Bioinformatics and Data Management Core

Active
Institution
INDIANA UNIVERSITY INDIANAPOLIS, IN
Principal investigator
Gregory W Carter
Funding
$1.7M
Duration
2016–2027
Open portfolio

Moonbase score

Still being scored

Abstract

PROJECT SUMMARY BIOINFORMATICS AND DATA MANAGEMENT (BDMC) CORE Creating and establishing the translational relevance of mouse models of late-onset Alzheimer’s disease requires a centralized data management and analysis platform interacting with all Center components. To this end, the Bioinformatics and Data Management Core (BDMC) will: combine human and mouse data to predict combinations of genetic factors in polygenic models of LOAD; jointly analyze multi-omics, biomarker, and imaging data to characterize new mouse models of LOAD; systematically align multimodal mouse data to analogous human study data to determine the precise disease relevance of each mouse models; identify mouse models with alterations in pathways targeted by precision therapeutics for preclinical testing; expand, maintain, and further populate a data-sharing platform for broad and FAIR access of all data and protocols. This core will address this goal through the following aims: (1) Iteratively analyze human and mouse data to prioritize multi- factorial mouse models of LOAD; (2) Determine translational relevance of mouse models through alignment with human LOAD and identification of therapeutically-relevant alterations; (3) Enable open science practices for all Center mouse models through data dissemination and an interactive web platform. The BDMC will build upon existing resources such as the AD Knowledge Portal, the MODEL-AD Explorer, the Agora platform, Alz-PED, and the workflows from existing NIA-funded consortia, including AMP-AD, TREAT-AD, MODEL-AD, MOVE-AD, and Resilience-AD. We will add the outcomes of this mouse-centered project to this foundation to optimize translational relevance and responsible data reuse. Internal and external researchers will be positioned to efficiently and reliably assess the disease relevance of mouse models. Finally, the broader research community will be empowered to use responsibly use mouse models to understand and guide their research into therapeutics for Alzheimer’s disease.

LOADING MOONBASE SCORE

NATIONAL INSTITUTE ON AGINGU54ZAG1-ZIJ-6mouserelevancedata managementmouse modelstranslational relevancehuman mousebioinformatics dataload

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