# Functional Analytics Core

> **NIH NIH P30** · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2024 · $266,977

## Abstract

PROJECT SUMMARY – Functional Analytics Core (FAC)
The University of Michigan Skin Biology and Diseases Resource-based Center (UM-SBDRC) Functional
Analytics Core (FAC) is a Resource Core that was designed to respond to the cutaneous research community’s
increased requests for innovative and state-of-the-art systems biology tools and resources, consultation, training,
and genomic editing tools. In the last four years, the FAC has been heavily utilized by the research community
and has helped to both accelerate and broaden access to resources and approaches that have helped to provide
multiple novel insights into a broad array of immune-mediated and non-neoplastic cutaneous disorders. Building
on our experience and our expanding infrastructure, the FAC will continue to provide and expand the UM-SBDRC
state-of-the-art infrastructure, resources, expertise, and training opportunities. The FAC is in line with the NIAMS
mission to provide needed infrastructure, pooled facilities, services, and resources to groups of investigators
conducting research on skin biology and diseases. The goal of the FAC is to enhance, accelerate, and enrich
the effectiveness of ongoing basic and translational research, and to help bring outside investigators into the
field of cutaneous biology. This will be achieved through the two aims of the FAC: In Aim 1, where we provide
CRISPR/Cas9 genome and epigenome editing services for the generation of knockout, knock-in, and
epigenome-modified keratinocytes, as well as functional characterization of these lines, and Aim 2, where we
provide access to state-of-the-art systems biology analyses, tools, training, and resources, including searchable
extensive disease- and cytokine-specific gene datasets. These services are not widely available for the
cutaneous research community, and the services, resources, and techniques made available through this Core
will provide UM-SBDRC Members with highly innovative approaches that will promote and accelerate ongoing
research and help attract new research teams into the fold of cutaneous research.

## Key facts

- **NIH application ID:** 10844249
- **Project number:** 2P30AR075043-06
- **Recipient organization:** UNIVERSITY OF MICHIGAN AT ANN ARBOR
- **Principal Investigator:** Johann Eli Gudjonsson
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $266,977
- **Award type:** 2
- **Project period:** 2024-08-15 → 2029-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10844249

## Citation

> US National Institutes of Health, RePORTER application 10844249, Functional Analytics Core (2P30AR075043-06). Retrieved via AI Analytics 2026-05-29 from https://api.ai-analytics.org/grant/nih/10844249. Licensed CC0.

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