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Caco-2 Permeability Assay

At Profacgen, our Caco-2 Permeability Assay Services deliver gold-standard prediction of human intestinal absorption, bidirectional transport characterization, and efflux liability assessment for protein degraders, small molecules, and oral drug candidates.

Caco-2 cells, a human colon epithelial carcinoma cell line, express transporter proteins, efflux proteins, and Phase II conjugation enzymes to mimic various transcellular pathways as well as metabolic transformation of test substances. When cultured as a monolayer, Caco-2 cells differentiate to form tight junctions between cells, serving as a model for passive diffusion and active transport across the intestinal epithelium. Under specific culture conditions, Caco-2 cells become polarized with intercellular tight junctions, a well-differentiated brush border, and typical small intestinal nutrient transporters, very similar to enterocytes lining the small intestine. Due to these advantages, Caco-2 permeability has become the gold standard method for evaluating passive and active transport and absorption of orally administered drugs.

Conventional transwell plate and schematic diagram of Caco-2 cell modelFigure 1. Conventional transwell plate and schematic diagram of Caco-2 cell model (Ding et al., 2020).

Overview

The Caco-2 model is the most widely accepted cell-based system for predicting human intestinal absorption and characterizing drug transport mechanisms:

Our Assay Capabilities

Profacgen provides comprehensive Caco-2 transport studies tailored to diverse compound types and program requirements:

Bidirectional Transport Studies

Apical-to-basolateral (A-B) and basolateral-to-apical (B-A) permeability assessment.

  • A-B transport: Prediction of intestinal absorption from luminal to serosal direction
  • B-A transport: Detection of efflux-mediated secretion and active transport
  • Mass balance: Recovery assessment to identify metabolism, adsorption, or stability issues

Apparent Permeability (Papp) Determination

Quantitative permeability classification with validated binning criteria.

  • Low permeability: Papp ≤ 0.500 × 10−6 cm/s
  • Moderate permeability: 0.500 < Papp < 2.50 × 10−6 cm/s
  • High permeability: Papp ≥ 2.50 × 10−6 cm/s
  • LC-MS/MS quantification for sensitive, specific compound detection

Efflux Ratio Evaluation

Identification of active efflux and transporter-mediated drug interactions.

  • Efflux ratio calculation: B-A Papp / A-B Papp; values > 2 indicate active efflux
  • P-gp inhibition: Verapamil or cyclosporin A co-treatment to confirm P-glycoprotein contribution
  • Transporter specificity: Customized inhibition studies for BCRP, MRP2, and other efflux pumps

Transport Mechanism Analysis

Dissection of passive versus active transport contributions.

  • Temperature dependence: 4°C versus 37°C comparison to identify active transport
  • pH dependence: Assessment of ionization state effects on permeability
  • Concentration dependence: Saturation kinetics for carrier-mediated transport

Applications

Our Caco-2 permeability assay supports diverse drug discovery and development applications:

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Why Choose Our Caco-2 Permeability Assays?

Representative Program Scenarios

Scenario 1: PROTAC Lead Optimization by Caco-2 Permeability Screening

Program Context:

A PROTAC series demonstrated potent cellular degradation but poor oral bioavailability. The team required rapid, quantitative permeability screening to identify structure-permeability relationships and guide medicinal chemistry.

Objective:

To rank 25 PROTAC analogs by Caco-2 Papp, identify efflux liabilities, and correlate permeability with physicochemical properties and cellular potency.

Approach:

Profacgen established Caco-2 monolayers in 96-well Transwell format with TEER validation (>400 Ω·cm²). Analogs were screened at 10 µM in A-B and B-A directions with LC-MS/MS quantification. Efflux ratios were calculated and P-gp contribution assessed by verapamil co-treatment. Data were correlated with molecular weight, polar surface area, and calculated lipophilicity.

Outcome:

Caco-2 screening identified a clear permeability cliff at polar surface area >150 Ų. Three analogs below this threshold achieved moderate permeability (Papp 0.8–1.2 × 10−6 cm/s) with acceptable efflux ratios (<3). These analogs demonstrated 5-fold improved oral bioavailability in mouse PK studies, validating Caco-2 as a predictive filter for PROTAC optimization.

Scenario 2: Efflux Liability Identification for BCS Classification

Program Context:

A small molecule kinase inhibitor required BCS classification for biowaiver eligibility. The compound showed good passive permeability but required confirmation of minimal efflux liability.

Objective:

To perform bidirectional Caco-2 transport with efflux inhibition to classify permeability and support regulatory submission.

Approach:

Profacgen conducted A-B and B-A transport studies at three concentrations with and without the P-gp inhibitor cyclosporin A. Monolayer integrity was verified by Lucifer yellow permeability (<1% per hour). Mass balance was assessed to exclude stability issues. The efflux ratio was calculated and compared to reference compounds (atenolol, propranolol).

Outcome:

The compound achieved high A-B permeability (Papp = 4.2 × 10−6 cm/s) with an efflux ratio of 1.3, indicating minimal active efflux. Cyclosporin A did not alter transport, confirming P-gp independence. The data supported BCS Class I classification and successful biowaiver application, accelerating development timelines.

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Comparison with Other Permeability Models

Assay Primary Application Key Feature
Caco-2 Intestinal absorption prediction Human intestinal epithelial model with tight junctions, transporters, and efflux pumps
MDCK Membrane transport evaluation Rapid cell-based permeability assessment with high monolayer integrity; suitable for high-throughput screening
PAMPA Passive diffusion screening Artificial lipid membrane; cost-effective, high-throughput; no active transport or efflux

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Frequently Asked Questions (FAQs)

Q: Why is Caco-2 considered the gold standard for intestinal absorption?
A: Caco-2 cells differentiate into polarized enterocyte-like monolayers with tight junctions, brush borders, and functional transporters closely resembling human small intestine. Papp values correlate with human fractional absorption, and the model is accepted by regulatory agencies for BCS biowaivers and regulatory submissions.
A: Caco-2 is a human colon epithelial line with enterocyte-like differentiation, expressing multiple transporters and efflux pumps. MDCK is a canine kidney line with tighter monolayers and faster growth, suitable for high-throughput screening but lacking human intestinal transporter expression. Caco-2 is preferred for absorption prediction; MDCK for rapid transport screening.
A: Caco-2 Papp correlates with intestinal absorption fraction but not complete oral bioavailability, which also depends on solubility, metabolism, and first-pass extraction. We integrate Caco-2 permeability with solubility and metabolic stability data to predict overall bioavailability more accurately.
A: We verify integrity by transepithelial electrical resistance (TEER > 400 Ω·cm²) and Lucifer yellow permeability (< 1% per hour). These measurements confirm tight junction formation and exclude paracellular leakage that would confound permeability results.
A: We typically require 1–2 mg compound at >98% purity for a full bidirectional study with multiple concentrations. DMSO stock solutions (10 mM) are preferred. Final assay concentrations range from 1–50 µM depending on solubility and analytical sensitivity. We provide detailed submission guidelines upon project initiation.
A: Monolayer differentiation requires 21 days. Single compound bidirectional transport with LC-MS/MS analysis delivers within 3–4 weeks from compound receipt. High-throughput screening of 20–50 compounds in 96-well format requires 4–6 weeks. Rush services are available for urgent timelines.

References:

  1. Ding X, Hu X, Chen Y, et al. Differentiated Caco-2 cell models in food-intestine interaction study: Current applications and future trends. Trends in Food Science & Technology. 2021;107:455-465. doi:10.1016/j.tifs.2020.11.015
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