Plant STARR-seq is a modular assay platform that evaluates the activity of regulatory elements in crops, enabling precise gene expression engineering. It leverages high-throughput sequencing and machine learning to design condition-specific elements, validated in transgenic plants.
Plant STARR-seq is a sophisticated platform designed to revolutionize the understanding and engineering of crop gene expression by assaying the activity of vast numbers of regulatory elements. This high-throughput method allows researchers to evaluate promoters, enhancers, repressors, and terminators in both dicots and monocots. By employing a barcode-based sequencing readout, Plant STARR-seq ensures high replicability and dynamic range, facilitating precise measurements of gene expression variations due to nucleotide changes. The platform's extensive data output supports machine learning approaches for designing species- and condition-specific genetic elements, which have been validated in stable transgenic crops.
This innovative platform is currently at Technology Readiness Level 4, indicating that it has been validated in laboratory environments and is poised for further development through partnerships and sponsored research.
The University of Washington is a large public research university with campuses in Seattle, Bothell, and Tacoma, known for a broad portfolio from fundamental discovery to applied innovation. Industry partners engage through a South Lake Union research campus adjacent to a major life sciences district and through collaboration programs that place faculty and students alongside corporate R&D. The university’s integration with a major academic health system enables clinical translation and large-scale trials. Research is supported by competitive federal funding from NIH, NSF, DOE, and DoD. A dedicated technology transfer office manages IP, licensing, and startup incubation with prototyping resources.