Source 1primary paper2025MED
Toolkit/DECCODE
DECCODE
Also known as: Drug Enhanced Cell COnversion using Differential Expression
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
To find drugs that mimic this effect, we use DECCODE (Drug Enhanced Cell COnversion using Differential Expression), an unbiased method that matches our transcriptional data with thousands of drug-induced profiles.
Usefulness & Problems
No literature-backed usefulness or problem-fit explainer has been materialized for this record yet.
Published Workflows
Objective: Identify small molecules that increase productivity and gene expression in engineered mammalian cells without additional genetic modifications.
Why it works: The workflow uses the transcriptional state associated with an iFFL that enhances operational capacity as a reference, then searches for drugs whose induced profiles mimic that state, with candidate compounds subsequently tested for expression enhancement.
mimicking the transcriptional effect of an iFFL genetic circuitRNA-sequencingtranscriptional signature matchingcompound prioritizationexperimental validation across expression and transduction scenarios
Stages
- 1.Transcriptomic profiling of iFFL-expressing cells(functional_characterization)
This stage creates the transcriptional reference used for downstream drug matching.
Selection: Generate a transcriptional signature from cells expressing the iFFL genetic circuit.
- 2.Computational drug-signature matching(in_silico_filter)
This stage narrows the search space from many possible compounds to candidates predicted to reproduce the beneficial iFFL-associated state.
Selection: Match the iFFL-derived transcriptional data with thousands of drug-induced profiles to find compounds that mimic the iFFL effect.
- 3.Candidate selection and expression testing(confirmatory_validation)
This stage confirms whether a computationally prioritized compound produces the desired productivity benefit in engineered-cell experiments.
Selection: Test a selected compound candidate for enhancement of payload expression across scenarios and cell lines.
Steps
- 1.Perform RNA-seq on iFFL-expressing cellsengineered reference circuit
Generate the transcriptional signature associated with the iFFL state.
The workflow first needs a reference transcriptional state before computational matching can be performed.
- 2.Match the iFFL transcriptional signature to drug-induced profiles using DECCODEcomputational prioritization method
Identify compounds predicted to mimic the iFFL effect.
This analysis uses the RNA-seq output from the previous step to prioritize candidate compounds before experimental testing.
- 3.Select Filgotinib from compound candidates and test expression enhancement across scenariosselected compound candidate
Confirm that a prioritized compound improves payload expression in practical engineered-cell settings.
Experimental testing follows computational prioritization to verify that a selected candidate produces the desired phenotype.
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete computational method used to design, rank, or analyze an engineered system.
Mechanisms
transcriptional signature matchingTechniques
Computational DesignTarget processes
transcriptionInput: Chemical
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Ranked Claims
The incoherent feed-forward loop is a genetic circuit that enhances operational capacity.
an incoherent feed-forward loop (iFFL), a genetic circuit that enhances operational capacity
DECCODE was used to match the transcriptional signature from iFFL-expressing cells to thousands of drug-induced profiles to identify drugs that mimic the iFFL effect.
To find drugs that mimic this effect, we use DECCODE ... that matches our transcriptional data with thousands of drug-induced profiles.
reference profile count thousands of drug-induced profiles
Approval Evidence
1 source1 linked approval claimfirst-pass slug deccode
To find drugs that mimic this effect, we use DECCODE (Drug Enhanced Cell COnversion using Differential Expression), an unbiased method that matches our transcriptional data with thousands of drug-induced profiles.
Source:
method capabilitysupports
DECCODE was used to match the transcriptional signature from iFFL-expressing cells to thousands of drug-induced profiles to identify drugs that mimic the iFFL effect.
To find drugs that mimic this effect, we use DECCODE ... that matches our transcriptional data with thousands of drug-induced profiles.
Source:
Comparisons
No literature-backed comparison notes have been materialized for this record yet.
Ranked Citations
- 1.