Phenotype and groups
Define the reliable functional phenotype, then group by response, model feature, dose or time.
Application
Compare tissue images, functional assays and molecular results across models or treatments to identify biomarker candidates for follow-up validation.
Two separate studies
An HCC study shows source-tissue and PDO histology and marker staining; a separate kidney organoid study shows molecular changes after cisplatin exposure. A candidate marker can then be tested in additional samples relevant to your program.
View imageHCC tissue and model profiling: H&E histology and figure-labelled CD31 and HEP-1 immunohistochemistry in source tissue and PDO provide tissue-architecture and marker-staining context for subsequent target and mechanism studies.
Model & assay data
View imageCisplatin-associated molecular changes: RT-qPCR compares KIM-1, H2AFX and inflammation- and stress-related gene expression in H9-derived kidney organoids.
TRiCBIO H9-derived kidney organoid cisplatin studyContinue to the related case for model context, experimental setup and interpretation.
Study focus
Study workflow
Define the reliable functional phenotype, then group by response, model feature, dose or time.
Select histology, imaging, flow, qPCR, protein or secreted readouts around the hypothesis.
Compare baseline, treatment response and mechanism readouts to identify reproducible candidate markers.
Validate in additional samples or with orthogonal methods, strengthening the evidence from initial observation through independent confirmation.
Model options
Identify candidate signals associated with treatment response or mechanism, then build a validation plan using additional samples, prespecified analyses and orthogonal methods.
PROJECT DISCUSSION
Disease context, existing phenotypes and data, comparison groups and the mechanism hypothesis shape the models, assays and complementary confirmation plan.