# Functional Analytics Core

> **NIH NIH P30** · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2020 · $246,266

## Abstract

PROJECT SUMMARY
In recent years our abilities to manipulate the genetic code of individual cells, through CRISPR/Cas9 induced
mutagenesis, and generation of high-throughput data have rapidly advanced. However, major bottlenecks
remain; the use of CRISPR/Cas9 remains technically challenging, particularly in keratinocytes, which are much
more challenging to transfect than other cell-types. Furthermore, the ability of most research groups to
analyze high-throughput data and incorporate it into a meaningful biologic and pathologic context remains
limited. Therefore, there is an enormous need for expertise and capabilities both for CRISPR/Cas9 services as
well as bioinformatic resources to translate the vast information and connect it with relevant biological or
disease-specific situation. To fill this critical gap, the University of Michigan Skin Biology and Resource-based
Center (UM-SBDRC) Functional Analytics Core (FAC) will provide sophisticated infrastructure, resources,
expertise, and training opportunities at the University of Michigan under the UM-SBDRC. The FAC is in line
with the NIAMS mission to provide needed research infrastructure, pooled facilities, services, and resources to
groups of investigators conducting research on skin biology and diseases. The goal of the FAC is to
accelerate, enhance, 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 editing services in keratinocytes for generation of
both knock-out and knock-in keratinocytes as well as functional characterization of mutant keratinocyte lines,
and Aim 2, where we provide access to systems biology analyses, disease- and cytokine-specific gene
expression profiling, and training. 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:** 9932936
- **Project number:** 5P30AR075043-02
- **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:** 2020
- **Award amount:** $246,266
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9932936

## Citation

> US National Institutes of Health, RePORTER application 9932936, Functional Analytics Core (5P30AR075043-02). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9932936. Licensed CC0.

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