Find the protocol that fits your program.
Humaniche models are validated across four primary research areas. Each application maps to published endpoint readouts so your assay development starts from characterized biology, not from scratch.
Match your question to a characterized readout.
All four applications share the same lot-release criteria and characterization package, so switching between research areas within a program does not require re-qualification of the biological substrate.
Hemato-Oncology Drug Screening
Bone Marrow Toxicity Prediction
Disease-Microenvironment Biology
Combination Therapy Profiling
Dose-response profiling of small molecules and biologics in disease-specific stromal microenvironments. Lot-characterized models enable direct compound comparisons across independent runs.
Multiplex secretion panels measure synergistic or antagonistic cytokine responses when two agents are co-administered, supporting rational schedule optimization before in vivo studies.
Hematopoietic progenitor colony assays within intact stromal architecture identify myelosuppressive liability earlier than 2D culture or animal-derived data alone.
Immunophenotyping and stromal crosstalk studies in AML and MDS niche architectures, with cell-population readouts traceable to primary patient sample profiles.
Translational relevance is demonstrated by concordance between model-derived compound responses and primary patient sample responses across published compound sets. Sensitivity and resistance patterns observed in the niche models track with ex vivo patient data, not just cell-line benchmarks.
Responses that hold against primary tissue.
Each application note includes the concordance analysis, endpoint definitions, and assay conditions so your team can assess fit before committing to a protocol.
Validation data, available now.
Application notes, peer-reviewed publications, and protocol datasheets are available in the Resources section. Each document covers endpoint definitions, assay conditions, and lot-characterization criteria so your team can assess translational relevance without additional qualification work.
