Ag-tech startup / public-sector agricultural research program
The client was running a multi-season crop evaluation program to understand stress tolerance and yield-associated traits across multiple genotypes. The program generated bulk RNA-seq and microRNA sequencing data across environments and treatments, but lacked internal capacity to integrate regulatory RNA signals at scale.
Bulk RNA-seq: ~240 samples across genotypes and conditions
microRNA / small RNA-seq: ~120 samples
Plant host system with trait-linked phenotypes
Zynt Bio served as the external RNA analytics engine for the program.
Key contributions included:
End-to-end processing of bulk RNA-seq and miRNA datasets
Differential expression analysis across stress conditions
Integrated miRNA–mRNA analysis to identify regulatory relationships
Functional and pathway-level interpretation focused on trait relevance
Standardized reporting across experimental batches
Reproducible analysis outputs (tables, normalized matrices, contrasts)
miRNA–target interaction summaries prioritized by regulatory impact
Pathway and regulatory modules aligned to stress and productivity traits
Documentation enabling reuse across future growing seasons
Enabled the program to prioritize candidate regulatory pathways for downstream validation
Reduced internal analysis burden while maintaining biological rigor
Established a scalable RNA analysis framework reusable across future cohorts
Government-funded agricultural disease management program / biotech innovation group
The client was evaluating RNA-based disease control strategies targeting a fungal pathogen in a major crop system. The program generated host–pathogen transcriptomic datasets to assess pathogen response, host defense activation, and treatment specificity.
Dual RNA-seq (host + pathogen): ~180 samples
Multiple treatment conditions (including dsRNA-based interventions)
Time-course experimental design
Zynt Bio provided integrated host–pathogen RNA analysis aligned with RNAi program objectives.
Key contributions included:
Dual RNA-seq processing and species-level read separation
Pathogen gene expression profiling under dsRNA treatment
Host defense and stress-response expression analysis
Comparative analysis across treatments and timepoints
Assessment of target specificity and downstream transcriptional effects
Host and pathogen differential expression summaries
Pathway-level insights into defense and virulence mechanisms
Comparative treatment response matrices
Documented workflows suitable for regulatory or program review
Supported data-driven evaluation of RNAi target effectiveness
Informed refinement of treatment strategies
Provided reproducible analytical evidence for program continuation and funding decisions