Custom Epithelial Organoid Services

Make the Apical Surface Accessible and the Barrier Measurable

A conventional epithelial organoid encloses the surface that many experiments need to reach. That geometry can be valuable for three-dimensional tissue organization, yet it complicates luminal exposure, directional transport, microbial contact, and barrier measurements. CD Genomics coordinates model conversion, epithelial-interface qualification, functional perturbation, imaging, and sequencing in one research program. We help select a basal-out organoid, apical-out organoid, microinjected lumen, or organoid-derived monolayer according to the question—then define what evidence must be collected before the model is used.

  • Convert or establish an epithelial model around direct apical access, compartmentalized exposure, or preservation of three-dimensional architecture.
  • Pair polarity and lineage evidence with barrier, permeability, inflammatory, CFTR, or host–microbe readouts.
  • Connect functional measurements to bulk or single-cell RNA sequencing without treating transcriptomics as a substitute for function.
Sample Submission Guidelines

P1 | epithelial-organoid-interface-overview.jpg | Basal-out, apical-out and monolayer epithelial organoid formats connect to barrier, inflammation, CFTR and sequencing readouts.Choose the epithelial interface before choosing the endpoint.

Table of Contents

Start with the Surface Your Experiment Must Reach

Epithelial polarity determines what a test article, microorganism, tracer, or cytokine can contact. In a matrix-embedded basal-out organoid, the basolateral surface faces the surrounding matrix while the apical membrane encloses an internal lumen. This geometry supports three-dimensional growth and tissue organization, but direct apical exposure may require microinjection. Removing the extracellular matrix and culturing organoids in suspension can reverse polarity so the apical surface faces the medium. Dissociating an organoid and seeding its cells on a permeable support can instead create a polarized monolayer with independently accessible apical and basolateral compartments.

For a solution-level view that connects model selection, characterization, functional studies, and sequencing readouts, see Organoid Research and Sequencing Solutions.

These formats are not interchangeable. A monolayer is appropriate when directional exposure, transepithelial electrical resistance, or tracer flux is central to the endpoint. An apical-out organoid is useful when direct access should remain compatible with a three-dimensional structure. A basal-out organoid may be preferable when tissue architecture, growth, or luminal accumulation is more important than external access. Microinjection preserves the enclosed lumen but adds technical variability and throughput constraints. We therefore begin with the surface that must be reached, the biological structure that must be preserved, and the measurement that must remain interpretable.

Best for

  • Studies requiring controlled apical, basolateral, or luminal exposure in an epithelial organoid system.
  • Barrier and permeability research that combines electrical, tracer, imaging, and molecular evidence.
  • Mechanistic inflammatory bowel disease research using organoid-derived epithelial models and project-defined challenges.
  • Research-use CFTR function studies using swelling, imaging, and appropriate controls.
  • Host–microbe or host–metabolite experiments in which exposure route, oxygen, and epithelial viability must be planned together.

Not for

  • Diagnostic testing, therapy selection, patient stratification, clinical decision-making, or clinical trials.
  • Calling a barrier intact from morphology or transepithelial resistance alone.
  • Assuming apical-out conversion preserves every feature of the original matrix-embedded model.
  • Using one universal acceptance threshold across tissues, donors, membranes, media, and instruments.
  • Interpreting organoid swelling as CFTR-specific without vehicle, assay-performance, and pathway-relevant controls.

Select the Right Epithelial Interface

The format is selected through a tradeoff between access, architecture, compartment control, and throughput. The decision is recorded before material is committed so that a convenient culture format does not silently redefine the question.

P6 | epithelial-interface-model-selection.jpg | Basal-out, apical-out, microinjected and monolayer epithelial formats are matched to direct exposure, barrier measurements, architecture and sequencing.Access, compartment control, and preserved architecture pull the design in different directions.

Format Best suited to Main limitation Qualification focus
Matrix-embedded basal-out 3D organoid Growth, differentiation, morphology, enclosed-lumen biology, and studies that preserve matrix contact The apical membrane is not directly accessible from the surrounding medium Architecture, lineage markers, lumen formation, growth behavior, and matrix/lot records
Apical-out 3D organoid Direct contact with the apical membrane, nutrient or metabolite exposure, microbial interaction, and uptake research Matrix withdrawal and polarity reversal can change geometry, maturation, mucus retention, and stress state Exterior apical markers, internal basolateral markers, junction continuity, viability, and differentiation
Microinjected basal-out organoid Luminal delivery while retaining an enclosed 3D architecture Injection is technically demanding and may create variable loading or local injury Injection efficiency, leakage, viability, luminal retention, and operator/batch effects
Organoid-derived epithelial monolayer Apical/basolateral dosing, TEER, permeability, transport, sampling, and directional inflammatory challenge Three-dimensional tissue architecture and lumen geometry are lost Confluence, polarization, barrier plateau, tracer flux, junctional localization, and cell composition
Air–liquid interface where appropriate Differentiation of selected respiratory or mucosal epithelial systems under an exposed apical surface Suitability depends on tissue source, differentiation protocol, and the research endpoint Cell-type composition, ciliary or secretory features where relevant, barrier behavior, and culture history

A project can include a matched 3D and monolayer comparison when the scientific question concerns format-dependent behavior. It should not add every configuration automatically. Each route changes the required material, control structure, sampling plan, and interpretation; additional formats are included only when they answer a defined comparison.

Qualify Polarity, Lineage, and Barrier Before Perturbation

A confluent surface is not necessarily a mature or selective barrier. Likewise, a spherical organoid does not prove that the intended surface faces outward. The acceptance package is built from independent evidence chosen for the model and tissue. Polarity may be reviewed through apical and basolateral marker localization, brush-border or ciliary features where relevant, and junctional organization. Lineage evidence uses a project-qualified panel rather than a fixed list that assumes every epithelial tissue should contain the same cell types.

For monolayers, electrical resistance provides a rapid longitudinal signal, but it is influenced by membrane area, temperature, medium, electrode geometry, blank correction, and the intrinsic properties of the tissue. A project-specific plateau is more defensible than a universal cutoff. Fluorescent tracer flux adds a direct permeability dimension, while immunofluorescence can show whether selected tight-junction proteins form continuous or disrupted patterns. Morphology and viability help distinguish barrier opening from generalized cell loss. The model is accepted only when the agreed measurements form a coherent pattern.

  • Polarity: exterior versus interior localization of selected apical and basolateral features.
  • Junction organization: continuity and localization of project-selected markers such as ZO-1, occludin, or claudins.
  • Barrier function: blank-corrected resistance trends, tracer passage, and stability across the planned experimental window.
  • Cell composition: tissue-appropriate epithelial lineage markers and, when needed, RNA-based composition analysis.
  • Model health: confluence or morphology, viability, growth history, passage, and handling deviations.

Acceptance criteria are agreed before the perturbation begins. If electrical resistance rises while permeability, morphology, or junction imaging shows a conflicting pattern, the discrepancy is investigated rather than averaged into a single score.

Build Inflammatory Challenges Around a Testable Mechanism

Inflammatory epithelial models are most useful when the challenge is tied to a mechanism and a measurement window. A short exposure may reveal signaling or junction remodeling before overt injury; a longer exposure may produce barrier loss, altered differentiation, or cell death. The same endpoint can therefore carry different meaning at different times. CD Genomics scopes the stimulus, compartment, duration, recovery period, and controls around the hypothesis instead of treating "inflammation" as one standard treatment.

An inflammatory bowel disease application may compare control and disease-associated organoid models, but donor origin is only one design factor. Culture state, differentiation, tissue region, passage, medium, and baseline barrier behavior must remain visible. A project can examine how a defined cytokine mixture, microbial product, metabolite, or compound changes resistance, permeability, junction organization, mediator release, and transcriptional state. These in vitro observations support mechanism research; they do not establish a patient diagnosis or predict individual treatment benefit.

Controls can include untreated and vehicle conditions, a barrier-disruption control that demonstrates assay sensitivity, and a recovery arm when restitution is part of the question. Functional endpoints are sampled before or alongside RNA collection so that pathway changes can be connected to an observed phenotype. A transcriptomic inflammatory signature without a corresponding functional endpoint remains evidence of molecular response, not proof that the epithelial barrier failed.

Measure CFTR-Dependent Fluid Transport with Assay Controls

Forskolin-induced swelling is an imaging-based research assay in which cyclic-AMP stimulation activates epithelial ion transport and fluid enters the organoid lumen. The measured change depends on CFTR activity, but it also depends on starting size, morphology, lumen state, passage, culture condition, matrix, imaging interval, segmentation, and the dynamic range of the selected model. A swelling trace is therefore interpreted within a controlled assay rather than as a stand-alone biological verdict.

The design begins with a compatible epithelial source and an agreed perturbation scheme. Vehicle controls define baseline growth or drift; a reference control demonstrates that the imaging and analysis pipeline can detect a response; and a pathway-relevant inhibitor or comparator can help test whether the observed signal behaves as expected. Time-resolved images are retained, segmentation rules are documented, and normalized area or volume trajectories are reported with replicate-level data. Saturated or poorly focused organoids are handled under predefined review rules rather than selectively removed after the result is known.

CFTR assays on this page are limited to research-use functional studies, assay development, and mechanistic compound evaluation. They are not offered for diagnosis, clinical eligibility, therapy selection, or prediction of individual patient outcome. When genetic context is important, DNA validation can be linked to the assay design, while RNA sequencing can examine broader epithelial responses; neither replaces the functional swelling measurement.

Open Host–Microbe Studies to the Correct Epithelial Side

Microorganisms, microbial products, and dietary metabolites usually encounter the apical epithelium. In a conventional basal-out organoid, simply adding them to the surrounding medium exposes the wrong surface. Three strategies can solve that access problem: direct exposure of apical-out organoids, microinjection into the enclosed lumen, or application to the apical compartment of an organoid-derived monolayer. Each strategy introduces a different balance of oxygen control, architecture, throughput, sampling access, and technical variation.

Host–microbe studies require more than a contact route. The microbial preparation, dose logic, viability, oxygen requirement, exposure time, wash or recovery design, and contamination controls must be compatible with the epithelial model. Apical-out culture simplifies direct contact but may expose mucus and the epithelial surface differently from a closed lumen. Monolayers enable compartment-specific sampling and barrier measurements but remove the 3D geometry. Microinjection preserves the lumen yet can limit scale and introduce delivery variability. These tradeoffs are documented in the study design.

Readouts can combine epithelial barrier behavior, microscopy, viability, selected mediator measurements, and host RNA sequencing. When microbial sequencing is included, the sample and extraction plan is kept distinct from host RNA collection. Relative abundance changes, microbial load, and host response answer different questions and should not be collapsed into a single "interaction" result. For intestinal research, IBD and host–microbiome questions remain application modules within this page rather than separate subservices.

Run a Gated Workflow from Conversion to Integrated Analysis

The workflow protects limited primary material by qualifying the interface before scaling the perturbation matrix. The model does not advance simply because it can be cultured.

P2 | epithelial-organoid-workflow.jpg | Seven-stage workflow from research question and model review through interface selection, qualification, perturbation, functional measurement, sequencing and reporting.Lock the epithelial interface and its acceptance criteria before the experimental matrix expands.

  1. Question and surface definition. Identify the surface that must be exposed, the architecture that must be retained, the primary endpoint, and the evidence boundary.
  2. Starting-material review. Document tissue or organoid source, passage, preservation, culture history, available quantity, lineage evidence, contamination status, and transport constraints.
  3. Format feasibility. Test the selected basal-out, apical-out, microinjected, monolayer, or air–liquid interface route at a scale appropriate to the material.
  4. Qualification gate. Review polarity, confluence or architecture, viability, lineage markers, junction organization, resistance or permeability where relevant, and control separation.
  5. Design lock and perturbation. Finalize compartment, dose or exposure logic, time points, biological and technical replication, controls, sampling order, and exclusion rules.
  6. Functional and molecular readouts. Collect imaging, barrier, permeability, mediator, CFTR, microbial, or other project-defined endpoints and preserve matched material for sequencing.
  7. Integrated reporting. Align sample metadata, raw and processed measurements, QC, sequencing outputs, limitations, and next-study recommendations without extending conclusions beyond the tested model.

Match Samples, Controls, and Readouts to the Format

Study route Minimum planning inputs Key controls Primary evidence
Polarity reversal Model source, matrix-release route, suspension compatibility, desired exposure, and culture window Matched basal-out culture, handling control, and model-health review Apical/basolateral localization, junction continuity, morphology, viability, and exposure response
Barrier monolayer Insert format, membrane area and coating, seeding route, differentiation plan, and sampling compartments Blank insert, untreated/vehicle, barrier-disruption or assay-performance control, and matched time points Confluence, resistance trend, tracer flux, junction imaging, viability, and reproducibility
Inflammatory challenge Mechanistic stimulus, compartment, exposure and recovery window, baseline barrier state, and endpoint hierarchy Untreated/vehicle, stimulus control, model-only time course, and recovery comparator where relevant Barrier change, morphology/viability, mediator release, selected markers, and matched RNA profile
CFTR function Compatible model, passage, starting morphology, imaging interval, normalization, and segmentation plan Vehicle, reference response, and pathway-relevant assay control Time-resolved swelling, replicate trajectories, QC flags, and optional genetic or transcriptomic context
Host–microbe interaction Microbial identity and preparation, oxygen need, apical access route, exposure duration, wash/recovery, and biosafety review Organoid-only, microbe-only where applicable, vehicle/medium, viability, and route-specific handling control Colonization or contact evidence, barrier and viability, host response, and separately scoped microbial measurements

Sample requirements are confirmed after feasibility review because different tissues and formats have different expansion, conversion, and endpoint losses. The intake should include the research question, model provenance, available quantity, preservation state, current medium and matrix, passage, prior characterization, intended exposure, required comparisons, and mandatory outputs. Unqualified material can enter a pilot, but it is not silently treated as an accepted production model.

Connect Functional Evidence with Sequencing

Sequencing is most informative when it is anchored to a functional state. Bulk RNA sequencing can compare pathway-level changes across a controlled condition matrix and is efficient when the epithelial population is sufficiently defined. Single-cell RNA sequencing can resolve cell-type composition and state changes when heterogeneous epithelial lineages are important, but dissociation may alter fragile populations and remove spatial information. The choice follows the biological ambiguity that must be resolved.

Samples are aligned to functional time points, not collected as an unrelated endpoint. A barrier experiment may pair RNA extraction with resistance and permeability measurements from matched wells. A CFTR study may use sequencing to characterize broader epithelial responses while keeping swelling as the functional endpoint. A host–microbe experiment may require separate host and microbial workflows to avoid confusing RNA origin, extraction bias, and normalization. The analysis plan records biological replicates, batch structure, comparisons, covariates, and the unit of inference before sequencing begins.

Related CD Genomics capabilities can be connected when the project requires them: organoid sequencing services for integrated bulk, single-cell, and spatial planning; single-cell RNA sequencing for epithelial composition and state; organoid characterization services for morphology, marker, and genomic evidence; and organoid model development services when a qualified starting model must first be established. These links support the study architecture without turning the page into a catalogue of unrelated assays.

Receive a Reproducible Epithelial Evidence Package

The final package is organized around the model, interface, perturbation, and evidence chain. It can include the approved study plan, sample and batch manifest, culture and conversion record, acceptance criteria, QC decisions, raw and processed images, resistance and permeability measurements, segmentation outputs, molecular data, analysis methods, figures, and an interpretation that separates observation from inference. Deliverables are adjusted to the selected route; a CFTR study does not receive the same evidence package as a host–microbe barrier study.

  • Study design and version-controlled condition matrix.
  • Starting-material, passage, matrix, membrane, medium, and handling metadata.
  • Polarity, lineage, confluence, junction, barrier, and viability evidence specified for the model.
  • Replicate-level functional results with preprocessing, normalization, exclusions, and QC flags.
  • Sequencing data and analysis outputs when included, linked to the corresponding functional samples.
  • Limits, unresolved discrepancies, and recommendations for the next mechanistic experiment.

This evidence-first design makes the study auditable and helps the next team understand why a specific epithelial format was chosen. It also prevents a visual result, a single resistance value, or a transcriptomic signature from carrying more weight than the experiment can support.

Representative Deliverables

Illustrative layouts show how complementary measurements can be reported. They are not customer results or fixed performance claims.

P3 | epithelial-barrier-readouts-demo.jpg | Epithelial monolayer qualification combines resistance trends, tracer flux and tight-junction imaging.Barrier Qualification

Resistance, Permeability, and Junction Organization

A report can align blank-corrected resistance over time with tracer passage and junctional imaging from matched conditions. The combined view distinguishes a stable barrier plateau from generalized cell loss, incomplete confluence, or an isolated electrical change.

P4 | epithelial-inflammation-response-demo.jpg | Control and challenged epithelial models connect barrier change and junction disruption to a matched RNA sequencing response.Inflammatory Response

Functional Change Linked to Transcriptional State

Barrier, viability, mediator, and RNA measurements can be aligned by time point and condition. The analysis reports whether pathway changes coincide with functional disruption, precede it, or occur without a measurable barrier phenotype.

P5 | cftr-organoid-swelling-demo.jpg | Time-lapse epithelial organoid swelling is segmented and reported as replicate-level trajectories with vehicle and assay controls.CFTR Functional Readout

Time-Resolved Swelling with Traceable QC

Representative images, segmentation masks, normalized trajectories, and model-level QC are presented together. Starting size, focus, saturation, and exclusion decisions remain visible so the functional interpretation can be reviewed.

Frequently Asked Questions

Do apical-out organoids replace conventional basal-out organoids?

No. Apical-out models improve direct access to the apical surface, while basal-out organoids retain matrix contact and an enclosed lumen. The better format depends on the exposure route, architecture, and endpoint.

Can one model support both barrier measurements and three-dimensional morphology?

Not with equal strength. Monolayers are better suited to directional exposure, resistance, and tracer flux; 3D organoids better preserve enclosed architecture. A matched-format study can be planned when format dependence is itself the question.

Is TEER enough to confirm a functional epithelial barrier?

No. TEER is affected by tissue, membrane, temperature, medium, instrument, and handling. We pair the electrical trend with blank correction and project-selected permeability, junction, morphology, and viability evidence.

Do you use a universal TEER acceptance threshold?

No. Acceptance is defined for the tissue, insert, membrane area, medium, electrode method, and study window. A stable and reproducible project-specific pattern is more informative than importing a cutoff from an unrelated model.

Can this service model IBD?

It can support research on epithelial mechanisms relevant to IBD using qualified organoid or monolayer models, controlled inflammatory challenges, barrier readouts, and sequencing. It does not diagnose IBD or predict an individual's response to treatment.

What does the CFTR module measure?

It measures a research-use functional response such as forskolin-induced organoid swelling under a controlled imaging and analysis design. It is not a diagnostic test and is not used to select therapy or make clinical decisions.

How do you choose between apical-out exposure, microinjection, and a monolayer for microbes?

We consider oxygen needs, direct apical access, preservation of a closed lumen, desired throughput, barrier measurements, sampling access, and the technical variability the study can tolerate.

Can microbial sequencing be combined with host RNA sequencing?

Yes, when the sample plan, biomass, extraction, controls, and analysis are scoped separately. Host response, microbial composition, and microbial load are distinct evidence types and are not treated as interchangeable.

Can you start from an established organoid line?

Yes, subject to documentation and feasibility review. We assess provenance, passage, preservation and recovery, culture requirements, prior characterization, available quantity, and compatibility with the requested format and endpoints.

Can single-cell RNA sequencing replace marker staining or barrier assays?

No. Single-cell RNA sequencing can resolve cell composition and state, but it does not directly show junction localization, electrical resistance, tracer permeability, or CFTR-dependent swelling. It complements those measurements.

Published Research Example: Pair Barrier Function with Molecular Response

Source: Deleu et al., International Journal of Molecular Sciences, 2023. This independent publication is presented as a research example, not a CD Genomics customer result.

Background

The study examined whether acetate altered epithelial barrier and inflammatory responses in organoid-derived monolayers established from ulcerative-colitis tissue. Its value for service planning is not the specific biological conclusion, but the way an accessible epithelial monolayer connected directional exposure, longitudinal barrier measurements, molecular markers, and inflammatory context.

Methods

Organoid-derived epithelial cells were cultured as monolayers on permeable supports. The investigators tracked transepithelial resistance, applied defined conditions, assessed barrier-related gene expression and inflammatory proteins, and compared responses across non-inflamed and inflamed settings. The design kept the functional barrier measurement visible rather than relying only on a molecular signature.

Results

Under the tested conditions, high acetate exposure was associated with changes in resistance and selected barrier and inflammatory measurements. The results were reported within the specific donor-derived model, stimulus, culture system, and timing. They do not imply that the same response will occur in another epithelial source, format, dose, or experimental context.

Conclusion for Study Design

An organoid-derived monolayer becomes more informative when exposure route, barrier function, and molecular response are measured in the same experimental framework. For a new project, the stimulus, acceptance thresholds, sampling time, and analysis must be requalified rather than copied from the publication.

P7 | intestinal-organoid-monolayer-case.jpg | Deleu and colleagues Figure 1 connects acetate exposure and inflammatory context to longitudinal resistance in organoid-derived epithelial monolayers.Independent study figure: longitudinal barrier measurements remain tied to culture condition, inflammatory context, and experimental timing.

References

  1. Deleu S, Arnauts K, Deprez L, et al. High Acetate Concentration Protects Intestinal Barrier and Exerts Anti-Inflammatory Effects in Organoid-Derived Epithelial Monolayer Cultures from Patients with Ulcerative Colitis. International Journal of Molecular Sciences. 2023;24(1):768. doi:10.3390/ijms24010768
  2. Co JY, Margalef-Català M, Monack DM, Amieva MR. Controlling the polarity of human gastrointestinal organoids to investigate epithelial biology and infectious diseases. Nature Protocols. 2021;16(11):5171–5192. doi:10.1038/s41596-021-00607-0
  3. Kakni P, Jutten B, Carvalho DTO, et al. Hypoxia-tolerant apical-out intestinal organoids to model host-microbiome interactions. Journal of Tissue Engineering. 2023;14:20417314221149208. doi:10.1177/20417314221149208
  4. Jelinsky SA, Derksen M, Bauman E, et al. Molecular and Functional Characterization of Human Intestinal Organoids and Monolayers for Modeling Epithelial Barrier. Inflammatory Bowel Diseases. 2023;29(2):195–206. doi:10.1093/ibd/izac212
  5. Arnauts K, Sudhakar P, Verstockt S, et al. Microbiota, not host origin drives ex vivo intestinal epithelial responses. Gut Microbes. 2022;14(1):2089003. doi:10.1080/19490976.2022.2089003
  6. Meran L, Baulies A, Li VSW. Intestinal Stem Cell Niche: The Extracellular Matrix and Cellular Components. Stem Cells International. 2017;2017:7970385. doi:10.1155/2017/7970385
  7. Varga Á, Madácsy T, Görög M, et al. Human pancreatic ductal organoids with controlled polarity provide a novel ex vivo tool to study epithelial cell physiology. Cellular and Molecular Life Sciences. 2023;80(7):192. doi:10.1007/s00018-023-04836-2
  8. Asal M, Thon M, Waaijman T, et al. Integration of Stromal Cells and Hydrogel Below Epithelium Results in Optimal Barrier Properties of Small Intestine Organoid Models. Biomedicines. 2024;12(12):2913. doi:10.3390/biomedicines12122913

Disclaimer

For research use only. Not for use in diagnostic procedures, clinical decision-making, patient stratification, therapeutic selection, or clinical trials.

Apenas para fins de investigação, não destinado a diagnóstico clínico, tratamento ou avaliações de saúde individuais.
Pedido de Cotação
! Apenas para fins de investigação, não destinado a diagnóstico clínico, tratamento ou avaliações de saúde individuais.