Expression is not set by the promoter alone. The 5′ and 3′ UTRs, introns and terminators shape how much mRNA is made, how stable it is, and how efficiently it is translated. In crops, they can change translation several fold, something a promoter swap or a knock-out may not achieve.
SuRE™ screens these elements in parallel, directly in cells from your crop: transcript and stability effects read by RNA, translation effects such as a 5′ UTR uORF by protein. You get a ranked shortlist of elements with a real, measured effect, yours to take forward.
A GWAS points to a region linked to a trait, not to a cause. Dozens of non-coding variants can sit in linkage together, and sequence alone will not tell you which one actually changes gene regulation. Chasing the wrong one into the field is slow and expensive.
SuRE™ resolves that empirically. We measure thousands of the associated variants in parallel, directly in cells from your crop, and return a ranked shortlist of the ones with a real, quantified effect on expression. Measured, not predicted, so you take only the causal candidates forward.
An EMS population carries thousands of point mutations, many of them in regulatory DNA and most of unknown effect. Finding which ones retune a pathway gene by growing out and phenotyping the whole population is slow and coarse.
SuRE™ measures those non-coding variants in parallel, directly in cells from your crop, and ranks the ones that actually shift expression of the target gene. You then select the right line straight from existing germplasm, no transgene required. Measured, not predicted, so screening replaces guesswork before you go to the field.
Genome editing limits you to changes within reach of a PAM, and even there the options, deletions, substitutions and their combinations, are many. Which edit will raise expression, or deliver the gain-of-function you are after, is hard to read from sequence alone.
SuRE™ tests those candidate edits in parallel, directly in cells from your crop, and ranks the ones that produce the intended effect, whether up, down or gain-of-function. The result is an editing blueprint: measured, not predicted, so only the edits that work go into transformation.
Let’s start with your crop.
Tell us the trait, the gene and the improvement you are chasing, and we will show you how SuRE™ can de-risk the regulatory decisions ahead, before they reach a plant.
