Tools for Clinical Research

Clinical samples vary – your controls don’t have to!

Clinical research is vital in the development of new and better ways to accurately detect genetic, hereditary, and infectious diseases. To aid in this endeavor, ATCC offers a number of reference materials that can be used to determine the sensitivity and specificity of molecular- and culture-based diagnostic tools.

ATCC microbial strains, cell lines, and nucleic acids provide you with the reliability of fully authenticated and characterized reference materials for the development and evaluation of dependable tools for clinical research. Let ATCC help you strengthen your clinical research today!


Use the links below to find the resources you need. Or, contact the ATCC Sales Team.

Microbiome Research Solutions

ATCC® Microbiome Standards allow you to optimize your metagenomics research applications with confidence, and improve the consistency and reproducibility of your data run after run. From sample collection to data analysis, ATCC offers the resources you need to optimize your microbiome research and applications, including mock microbial communities, environmental and pathogen mixtures, site-specific standards, microbiome spike-in controls, and state-of-the-art bioinformatics.

Discover more

Tumor Cell Panels

ATCC® Tumor Cell Panels comprise authenticated, well-characterized cell lines annotated with details regarding known mutations, enabling intelligent choices when selecting cell-based research models. Each panel is carefully designed based on the tissue of tumor origin or by the genetic mutation, creating a powerful tool for cancer research and drug discovery.

Browse now

ATCC® Genuine Nucleics

ATCC® Genuine Nucleics represent the largest and most diverse collection of fully authenticated genomic, synthetic, and certified reference materials for use in molecular-based assays, quality control, and assay development. Each preparation is supported by stringent quality control analyses to ensure product identity, stability, quantity, and functionality.

Learn more