Toxicity Assessment of Co-Culture Human Systems During Serial Multi-Well Gradient Exposures

By: David Sloan, Tim Jensen, Steve Klose, Michael McCartney, and Randall McClelland,
SciKon Innovation, Inc.


We evaluated the robustness and applicability of a newly designed microfluidic system to mimic passage of biological fluids and materials from one tissue type to another. A goal for applying this technology is to couple liver and breast cancer cell line models through microfluidics for a benchtop bioactivation testing system. Many chemotherapeutic drugs require bioactivation before they reach full potency. This bioactivation is accomplished through many different mechanisms but is frequently accomplished in the liver before the drug enters circulation. The inadequacy of animal models to predict human biology in the drug development process is becoming increasingly clear due to species differences in uptake and metabolism at both the cellular and organ levels. As a result, there is a need for more human model systems to be incorporated earlier in research and development. Innovative concepts such as “body-on-a-chip” have been introduced, but the complexity and miniaturization of many of the formats has limited applicability on a commercial scale. SciKon is developing tools that better recapitulate biological systems in benchtop cell culture formats which are amenable to mass manufacturing.

The SciFlow™ 1000 Fluidic Culture System is engineered to connect 10-wells of each row in a 96-well plate together with a microfluidic channel. This system sequentially links wells together to form a cascade of cell chambers through which drugs or toxicants can be applied. Using a fluorescein tracer molecule we demonstrate that exposures in the fluidic system were non-linear and shaped similarly to an expected plasma curve in vivo. Drugs interact with cells in the upstream compartments (e.g. liver cells) creating metabolites (active drugs) that will mix and interact in downstream wells (e.g. cancer cells) forming a parent-metabolite gradient in a time-resolved and inverse concentration gradient fashion. Such a system enables concentration by time kinetics of toxicity measurements in a more life-like environment. We studied the bioactivation of seven chemotherapeutic drugs by liver cells (human HepaRG and rat primary liver cells), and measured the resulting chemotoxicity on a human cancer cell line using the reagent CellTiter-Glo™ (Promega).


sciflow 1000 schematic
Panel A shows a schematic side view of SciFlow 1000 with the source and sink wells identified. Panel B is a picture of SciFlow 1000, with purple liquid filling one row to highlight the 0.5mm decrease in Zheight (height of well bottom) across the plate. Panel C is a top down view of one SciFlow 1000 row highlighting the dual gradients of decreasing parent compound and increasing metabolite down the row.

Multi-Organ Culture System

multiple organ culture system

SciFlow 1000 enables culturing different cell/tissue types within an interconnected row of wells. Cells can be initially cultured in isolation within a well to establish the cells, and then the media volume is increased to establish flow for exposure and signaling studies. Interconnected cell types allow for mimicking a larger organ system and better prediction of in vivo effects/outcomes.

example of multi-organ cell distribution


SciFlow 1000 dosing creates gradient concentrations vs fixed concentration

In an acellular scenario (A), SciFlow 1000 (top) dosing creates gradients of compound concentrations over time. The concentration of compound increases in each well until the equilibrium concentration is reached, and then that concentration is maintained for the duration of the experiment. Wells at different distances from the source well have very different concentration exposure profiles. Static plates (bottom) are at a fixed concentration, which only varies due to cellular metabolism.


Modeling metabolism - SciFlow dosing vs static dosing

Modelling metabolism in the SciFlow 1000 and static dosing graphs (B) produces the top two graphs. The SciFlow 1000 dosing has an increasing concentration over time, followed by an equilibrium, which is very similar to the classic in vivo plasma drug concentrations graph shown to the left. This increasing concentration over time better mimics in vivo exposure than static conditions.


Modeling SciFlow 1000 exposure as a cummulative exposure model

Modeling SciFlow 1000 exposure as a cumulative radiation exposure model (C), where the total exposure over time is calculated, allows us to quantify and compare the exposure to traditional methods. While the final equilibrium drug concentration is very similar across the entire plate, the total (cumulative) dosage is very different in each well.


Bioactivation System

Chemotherapeutic Example

Testing effect of 7 therapeutic drugs

To test the effects of passaging 7 different chemotherapeutic drugs through a metabolically competent human liver cell line (HepaRG), we set-up 3 SciFlow 1000s with unique combinations of cell lines. Plate 1, HepaRG (liver) cells upstream of MCF7 (breast cancer) cells tests the full bioactivation system. Plates 2 and 3 are control plates with only HepaRG and only MCF7 cells respectively. Data in Panel B is collected from column 7 (circled above).

Drugs Tested


The bar graphs in panel B represent the percentage of viable cells (CellTiter-Glo, DMSO normalized) remaining in column 7 (see panel A) post 48 hours of drug exposure. The effects of the seven chemotherapeutic drugs on the cells in column 7 is very dependent upon the upstream cell type and the ability of these cells to activate the chemotherapeutic compounds.

Five of the seven drugs lead to a greater than 50% reduction in viability of the MCF7 cells, when first passaged through metabolically competent HepaRG cells. Three drugs (Tirapazamine, Menadione, and Tamoxifen) had modest effects in the absence of exposure to liver cells, but greatly increased efficacy when exposed to the liver cells upstream of the cancer cells. None of the drugs had a major effect on the HepaRG cells alone. Two drugs (Dacarbazine and Cyclophosphamide) always decreased MCF7 cell viability regardless of the upstream cell type – no increase in potency due to liver cell exposure.


Bioactivation System

Rat Primary Hepatocytes

Cell Titer Glo –MCF7 (normalized to DMSO control)

  Col8 Col9 Col10
DMSO 100% 100% 100% 100%
Tamoxifen 89% 93% 100% 89%
Tirapazamine 95% 92% 101% 96%
Menadione 88% 97% 96% 83%

No significant difference in CellTiter-Glo data between DMSO and chemotherapeutic treated MCF7 cells downstream of primary rat hepatocytes. This stands in stark contrast to the results when the same MCF7 cells were exposed to chemotherapeutic drugs downstream of the human hepatic cell line HepaRG. This lack of response demonstrates the differences between human and rat model systems, highlights the importance of biologically relevant human testing systems, and stresses the pitfalls of relying upon animal testing for drug safety and efficacy studies. (Data not shown, the primary rat hepatocytes are metabolically competent and do possess CYP3A4 activity.)


The SciFlow™ 1000 Fluidic Culture System has gone through multiple rounds of design and is now a well characterized and commercially available product. The fluidic flow and concentration gradients have been studied in multiple model systems. Data presented here demonstrate the feasibility of creating a multi-organ system capable of testing for the ability of a human liver cell line (HepaRG) to activate a panel of chemotherapeutic drugs. We tested seven chemotherapeutic drugs for their ability to kill human MCF7 cells both with and without bioactivation by metabolically competent human HepaRG cells. Additionally we tested 3 of the chemotherapeutic drugs in a rat primary hepatocyte/human breast cancer cell line system with the goal of determining if metabolically competent primary rat hepatocytes could activate the chemotherapeutic drugs in an analogous manner to the human cells. Highlighting the importance of human models, the rat primary hepatocytes do not function in the same manner as the human hepatocyte cell line and were unable to activate the chemotherapeutic drugs and kill the downstream cancer cells. The SciFlow 1000 is a versatile fluidic culture system which is compatible with plate readers, high content imagers, and commercially available biochemical assay kits.


We would like to thank Molecular Devices for assistance with high content imaging, BMG and Tecan for allowing us to test out the Clariostar and Spark 10M multi-function plate readers. This was work was partially support by SBIR grants from the National Institutes of Health (1R43ES025970-01 and 1R43GM117954-01).


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