Targeted genome editing, a method used to alter the DNA of living cells at desired locations, is poised to revolutionize science and medicine. To fight diseases, novel genome edited therapeutics, including those for use in regenerative medicine and infectious diseases, are being developed. Many commercial applications including agriculture and chemical production, are also leveraging this technology. Whether genome editing will be used in healthcare, agriculture or basic research, robust quantitative measurements are needed to enable high confidence characterization of DNA alterations. NIST has brought together experts across the genome editing field including stakeholders in industry, academia and government to assess their measurement needs. These discussions have identified common pre-competitive measurements and standards needed to establish greater confidence in the characterization of genome editing outputs. The NIST-led Genome Editing Consortium has been established to address these needs.
UPDATES:
Lexicon Public Feedback: Our goal is to provide a forum for public comment on version 1 of the genome editing lexicon developed by Working Group 3 Consortium members to ensure the definitions are appropriate across the genome editing sectors. To participate, visit the NIST Genome Editing Consortium Lexicon Version 1.
CONSORTIUM GOALS
- Evaluate genome editing assay pipelines
- Develop benchmark materials
- Generate benchmark data
- Develop suggested minimal information reporting for public studies
- Generate a common lexicon for genome editing studies
CONSORTIUM ORGANIZATION
Three working groups with the following responsibilities:
Working Group 1: Specificity Measurements
- Design, generate, and evaluate a set of purified DNA spike-in control materials that can be used to mimic both induced on-target and off-target variants at known frequencies in a background of human genomic DNA. The DNA spike-in control materials will be used as a benchmark for validation of next-generation sequencing (NGS) pipelines and other platforms intended to identify induced genome editing events.
- Design and conduct controlled evaluations of existing assays for quantifying on- and off-target genome editing, with a robust and optimal experimental design aimed at assessing the sources of variability, repeatability, and reproducibility within an assay.
Working Group 2: Data and Metadata
- Identify community norms for data formats and tools for benchmarking data analysis including in silico and experimental data sets.
- Determine the type of metadata that would be needed to be shared, housed, and interrogated from genome editing experiments.
Working Group 3: Lexicon
- Identify terms and related definitions to form a common genome editing community lexicon.
CONSORTIUM IMPACT
- Shared genome editing physical benchmark materials for assay validation
- Community norms for minimum data reporting and tools for supporting data analysis
- Improved understanding of and confidence in detecting and quantifying on- and off-target genome editing
- Harmonized genome editing lexicon
CONSORTIUM MODEL
- Convenes industry, academia, and government to identify and address measurement and standards needs across the genome editing field
- Enables members to work with NIST to develop measurement solutions and standards
- Leverages NIST expertise in measurement science, standards development, reference materials, technology development, and basic research
- Collaborates with related programs at other federal agencies
WHY NIST
- Cross-disciplinary expertise in engineering, and the physical, information, chemical, and biological sciences
- As a non-regulatory agency of the U.S. Department of Commerce, NIST does not impose standards; standards are accepted by consensus
- Neutral convener for industry consortia, standards development organizations, federal labs, universities, public workshops, and interlaboratory comparability testing