Genomics Research Center
The Genomics Research Center (GRC), located at the James P. Wilmot Cancer Institute, provides core laboratory support, technical consultation, assistance with experimental design and data analysis for investigators using high-throughput genomic sequencing, genotyping and gene expression in their research programs.
GRC Hosted Webinar:
Advanced Cell Diagnostics - Bio-Techne
Learn more about the RNAscope technology as a validation method for 10X and GeoMx Spatial platforms
June 8th, 1pm
Please register here: https://info.acdbio.com/ishani-spatial-sc-transcriptomics.html
10X Genomics - Visium Spatial Gene Expression Technology.
At the Genomics Research Center, we have utilized the Fresh Frozen Visium technology for many tissue types.
Pair histological spatial information with whole transcriptome data to better understand many research questions such as the spatial organization of cells and disease complexity. Visium Spatial Gene Expression technology is available with H&E for morphological context as well as with Immunofluorescence to co-detect proteins and gene expression from the same tissue section.
10X Genomics has announced the release of Visium FFPE that is compatible with FFPE tissues. Contact us for more information on this approach and how it compares to the Fresh Frozen Visium workflow.
Contact us to learn more about the technology and scheduling a consultation for a spatial gene expression study.
Learn About 10X Spatial
Recent publication of spatial transcriptomics work of Dr. Eric Small and the GRC:
The Genomics Research Center is officially launching the NanoString GeoMx platform at the University of Rochester!
The NanoString GeoMx Digital Spatial Profiler is available for researchers who are interested in the spatial context of their tissue.
If you are interested in this platform, please click here to email the GRC for more information.
The GRC has a faculty-level Director, a Lab Manager, one Technical Scientist, one Senior Technician, two Technical Associates, two Technicians and two Bioinformaticians/data analysts. In addition, GRC staff lead collaborative projects with URMC investigators to develop new methodologies and incorporate emerging genomic technologies into faculty research programs and the GRC workflow. Dedicated computational support for hardware, data analysis and storage of high-throughput sequence data is provided by the Center for Integrated Research Computing (CIRC) with 37 24-core compute nodes and 300TB of space dedicated solely for GRC analyses.