State-of-the-Art Support

Shared Resources for Investigators

The UNM Cancer Center supports eight shared resources to provide its members with cost-effective access to technologies and services. The shared resources have been developed to complement but not overlap with other UNM cores. They are managed by the [UNM] Cancer Center Research Administration (CCRA) and the Associate Director for Shared Resources, Sabrina Samudio-Ruiz, PhD.

Sabrina Samudio-Ruiz, PhD, UNM Cancer Center Associate Director | 505-272-5652

Please acknowledge use of these shared resources by including the following in your publications:

This research was partially supported by UNM Comprehensive Cancer Center Support Grant NCI P30CA118100.

Shared Resources

The UNM Cancer Center offers eight shared resources to promote high-quality basic, population-based, and translational cancer research. These shared resources have been developed to complement but not overlap with other cores or shared resources at UNM and to provide UNMCCC members access to cutting-edge technologies and expertise. The shared resources advance cancer research excellence and educate and engage users on innovative technologies and services.

Advanced Light Microscopy

State-of-the-art instrumentation and software for quantitative, multi-scale, and multi-modal fluorescence imaging

Analytical / Translational Genomics

Cost-effective and comprehensive genomic analysis services, including next-generation sequencing (NGS)

Animal Models

Guidance, collaboration, and services in animal models and in vivo imaging

Behavioral Measurement & Population Science

A continuum of services for basic and translational population science cancer research

Bioinformatics & Data Science

A comprehensive suite of computational and analytic services for basic, translational, and clinical cancer research

Biostatistics

An array of statistical support for basic, clinical, population- and community-based, and translational cancer research

Flow Cytometry

State-of-the-art flow cytometric analysis and high-speed cell sorting through a repertoire of scalable service models

Human Tissue Repository & Tissue Analysis

Tumor and matched normal tissues provided as either frozen or formalin-fixed, paraffin-embedded (FFPE) samples