SuRE™

for crop developers

Functional annotation of regulatory variants for accelerated breeding.

Introduction

In crop development, the question is often not which gene to target, but which regulatory edits are worth making.

Your team knows the crop, the trait and the target gene. The hard part is knowing which change to make: which promoter, enhancer or variant will actually shift expression of that gene in the right direction, and which will not. Regulatory DNA is hard to read from sequence, and testing every option in planta is slow and expensive.

SuRE™ answers that question through empirical testing, not prediction. Our plant-optimized platform tests promoters, enhancers and their variants at scale, directly in cells from your crop, with each element read by dozens to hundreds of barcodes for the sensitivity to catch even small effects. The result is a ranked shortlist of the candidates most worth taking into plant validation, before you commit to the slow and costly transformation step. SuRE™ is species-agnostic and already relied on by leading crop developers, proven in crops from corn to sugar beet to tomato, and beyond plants in mammalian and livestock systems.

How SuRE™ works

1. Start from your trait hypothesis
2. Screen regulatory sequences at scale
3. Prioritize candidates worth validating in planta

The SuRE™ platform is a massively parallel reporter assay empirically screening millions of regulatory sequences in vitro and in vivo

Genome-wide SuRE™ profile generated in corn protoplasts, with/without stimulus

What makes SuRE™ different

High-throughput screening

Screen thousands of promoters, enhancers and their variants, or candidate edits, in one experiment, before committing to slow, resource-intensive plant validation.

Sensitive, reproducible readouts

Measure each element directly, tracked by dozens to hundreds of barcodes, with the sensitivity to separate real regulatory effects from screening noise. Measured, not predicted.

Screened in your own crop

Test how regulatory DNA behaves in protoplasts from your crop, closer to real plant biology than a generic model organism or a computational model.

Applications

Regulatory edit prioritization

Identify the promoter edits most likely to shift endogenous gene expression toward the desired trait effect.

Functional annotation of regulatory sequences

Genome-wide mapping of promoters enhancers active in specific tissues and conditions

Datasets for predictive models

Generate large-scale regulatory activity data to support AI and computational models for crop development.

Plant-relevant screening

Narrow the design space before plant validation. 

Testing hundreds or thousands of promoters, enhancers, variants or edits directly in plants is rarely practical. SuRE™ gives crop developers an experimental funnel: screen them at scale first, measured directly in cells from your crop, then take only the strongest candidates into plant testing.

This lets your team spend slow, resource-intensive plant validation where the measured evidence is strongest, rather than on candidates a model only predicted.

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What our clients say

Related expertise

Agri

Explore how tailored gene expression systems support crop trait development and regulatory edit prioritization.

SuRE™ for advanced therapies

Develop promoters and enhancers when therapeutic expression requires cell-specific control.

Custom regulatory variant projects

Discuss crop-specific screening questions around promoters, pathways, variants or predictive datasets.

What is Annogen's SuRE platform and what does it do?
Is this real wet-lab screening or in-silico / AI prediction?
How many sequences can you test in a single experiment?
Is the readout transcriptional (RNA) or protein-level?
What is the maximum sequence length you can screen?

Frequently Asked Questions

We imagine there could be some questions you want to ask us. Discover the most frequently asked questions about this subject right here. 

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