
Providing innovative, state-of-the art services
The Functional Analytics Core (FAC) provides support and services to accelerate and enhance the effectiveness of basic and translational research in the field of cutaneous biology.
Services
We provide systems biology analyses, disease- and cytokine-specific gene expression profiling, and bioinformatics training to support skin-related research:
- Service 1: Disease case/comparison of repository genomics (Single cell RNA-seq) to aid in creating disease mouse models with bioinformatics analysis
- Service 2: Disease case/comparison of genomics in Rodent vs repository human genomics (single cell RNA-seq) to aid in creating disease mouse models with bioinformatics analysis
- Service 3: Disease case/comparison of genomics (Spatial RNA-seq) in human tissue with bioinformatics analysis
- Service 4: Disease case/comparison of genomics (Single cell RNA-seq) in human tissue and blood with bioinformatics analysis
- Service 5: Consultation with UM-SRC Functional Analytics Core
- Service 6: Protocol Development UM-SRC Functional Analytics Core
CRISPR/Cas9 Genome Editing
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.
Knockout (KO) Keratinocytes Lines Available
Skin Genes Query
The U-M SRC Skin Genes Query supports comparison of normal and disease gene expression in human and mouse skin utilizing datasets supplied by SRC members. This tool is available to all UM-SRC members and requires University of Michigan level-1 account verification. If you are unable to access this tool and are a current UM SBDRC member, please email Carmel McKeon ([email protected]) for assistance.
Skin Genes Query (SRC Members Only)
Contact Us:
If you are interested in the FAC bioinformatics services, please email [email protected].
If you are interested in the FAC cell line services, please email [email protected].

Professor of Dermatology
Professor of Internal Medicine and Research Professor
Mary H Weiser Food Allergy

Assistant Professor of Computational Medicine and Bioinformatics
Research Assistant Professor, Mary H Weiser Food Allergy
Research Assistant Professor, Biostatistics

Dermatology
It is extremely important that our grant is cited in all publications resulting from the use of UM-SBDRC services and funding. Our productivity and effectiveness as a center are measured in part by the citation of the grant in published work. Please use the following acknowledgement in your publications:
This work utilized Core Services and Pilot or Feasibility project funding supported by grant UM-SBDRC 1P30AR075043 of NIH/NIAMS to the University of Michigan