# Core D: Integrated Computational Analysis Core

> **NIH NIH U19** · COLUMBIA UNIVERSITY HEALTH SCIENCES · 2024 · $906,089

## Abstract

INTEGRATED COMPUTATIONAL ANALYSIS CORE: PROJECT SUMMARY/ABSTRACT
To investigate how disease relevant changes, such as Alzheimer’s disease, are linked to specific risk factors
(e.g., age-related changes, protein aggregates, vascular pathologies, etc.) to alter the spatial arrangement
of cell types in the brain and their gene expression profiles, we need to build high-resolution maps of brain
tissue at the cellular level in individuals with and without pathology. Building these maps requires proper
characterization of the pathological features, as well as a reproducible workflow for data generation and
imaging. To this end, the Integrated Computational Analysis Core will work closely with the Spatial Multiomics
Core, the Biospecimen Core, and the four Projects on all aspects of imaging and genomics data analysis.
This includes the following: 1) Primary analysis, comprising image registration, segmentation, and gene
expression quantification, 2) Secondary analysis, comprising cross-sample registration and cell type
assignment using multiplexed protein expression and genome-wide transcriptomics data, and 3) Tertiary
analysis, involving the derivation of discrete measurable attributes summarizing key aspects of cell type,
gene expression, and pathological composition and distribution in space. By scaling up and adapting existing
workflows to address these data analysis needs, this Core is centrally involved in all analysis aims of each
Project, as well as being engaged in continuous feedback with the Spatial Multiomics Core to optimize data
generation workflows. An additional goal of this core is to integrate the raw and processed data, as well as
the spatial attribute models, into a queryable, interactive portal called the Multidimensional Atlas of Aging and
Pathology in the Brain (MAAP-Brain) visualizer. This publicly accessible portal, along with dissemination of
workflows through the educational component of this overall U19 proposal, will provide the brain aging and
AD scientific community with an interface to engage with the large-scale data generated by the Projects and
other Cores. Ultimately, we aim for this dissemination effort to allow external researchers to generate or
validate their own hypotheses about changes in cellular composition and arrangement associated with aging
and human brain pathology.

## Key facts

- **NIH application ID:** 10935937
- **Project number:** 5U19AG074862-02
- **Recipient organization:** COLUMBIA UNIVERSITY HEALTH SCIENCES
- **Principal Investigator:** Vilas Menon
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $906,089
- **Award type:** 5
- **Project period:** 2023-09-30 → 2028-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10935937

## Citation

> US National Institutes of Health, RePORTER application 10935937, Core D: Integrated Computational Analysis Core (5U19AG074862-02). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10935937. Licensed CC0.

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