Application Note

Structural organization and functional analysis of compound response in 3D human iPSC-derived cardiac tri-culture microtissues

  • Tri-culture model provides a novel tool for evaluation of functional and morphological effects on cardiac cells.
  • FLIPR Penta System allows better resolution calcium oscillation patterns in cardiomyocytes.
  • MetaXpress CME allows to locate individual cells and reconstruct 3D structure of cell models.

Download PDF

Zhisong Tong, PhD | Research Scientist | Molecular Devices Carole Crittenden, PhD | Sr. Research Scientist | Molecular Devices Oksana Sirenko, PhD | Sr. Scientist | Molecular Devices Sarah Himmerich, Cara Rieger, PhD, Ravi Vaidyanathan, PhD, Coby Carlson, PhD | FUJIFILM Cellular Dynamics, Inc.

Introduction

The human heart is a complex organ providing highly regulated processes of moving blood through the body. The adult human ventricle is comprised of cardiomyocytes, endothelial cells, fibroblasts and other supporting cell types. Though cardiomyocytes make up 75% of the total volume of human ventricle, it only constitutes 50% of the total cell number. Recent publications show that tri-cellular co-culture microtissues of cardiomyocytes, endothelial cells and cardiac fibroblasts that are all derived from human iPSC enhance the maturation and functional activity of cells compared to 2D cardiomyocytes and thus more closely mimics actual heart physiology.

In this study, we used a tri-culture model created by mixing iPSC-derived cardiac cells and iPSC-derived endothelial cells with primary adult fibroblasts at 75:15:10 ratio in ultra-low attachment (ULA) plates directly from thaw. We used a Biomek i7 Automated Workstation (Beckman Coulter Life Sciences) for cell plating and subsequent media exchange (every 2 days). 3D microtissues were formed within 48 hours and started to contract spontaneously and regularly on day 5. We investigated the functional activity of microtissues by recording calcium oscillations after addition of calcium dye using a fast kinetic fluorescence recording instrument (FLIPR® Penta High-Throughput Cellular Screening System—Figure 1). We tested the response of the microtissues to a number of known modulators of cardiac activity. Importantly, we found that molecules like isoproterenol significantly accelerated the oscillation rate and also increased the peak amplitude (inotropic response). Other compounds, including hERG inhibitors, ion channel blockers, or beta-blockers, demonstrated changes in the Ca2+ oscillation patterns consistent with the expected mode of action. Waveform analysis was performed using the ScreenWorks® Peak Pro 2™ software module.

Additionally, we used high-content imaging to characterize the structure and morphology of our 3D microtissues with the ImageXpress® Micro Confocal High-Content Imaging System—Figure 1. Different cell types were immunostained using antibodies specific for Troponin T (for cardiomyocytes), VE-Cadherin (for endothelial cells), and COL1A1 (for fibroblasts). The 3D structure of microtissues was reconstructed and analyzed using MetaXpress® High-Content Image Acquisition and Analysis Software. The data presented here highlights the utility and biological relevance of using iPSC-derived cell types in 3D micro-tissues as a promising model for measuring compound effects on human cardiac tissues in a highthroughput format.

Instruments

Methods

Procedures

Cryopreserved human iPSC-derived iCell® Cardiomyocytes2 and iCell Endothelial Cells from FUJIFILM Cellular Dynamics, Inc., and Primary Human Cardiac Fibroblasts Cells from Promocell were seeded at 75%:15%:10%. The timepoint of workflow is shown in Figure 2. The presence of strong synchronous contractions in the 3D cultures was confirmed visually prior to running experiments. To assess phenotypic changes, cells were stained live using a mixture of two dyes: the viability dye Calcein AM (1 μM) and the Hoechst nuclear dye (2 μM) (all from Life Technologies). After the compound treatment, calcium oscillations in the cells were measured with the FLIPR Penta instrument, then fixed and stained with either a combination of anti Troponin T A647 and anti VE-Cadherin A568 or anti Troponin T A647 and anti COL1A1 A568.

FLIPR Penta High-Throughput Cellular Screening System and ImageXpress Micro Confocal High-Content Imaging System

Figure 1. FLIPR Penta High-Throughput Cellular Screening System and ImageXpress Micro Confocal High-Content Imaging System.

Workflow of iPSC-derived Cardiac Tri-Culture Model

Figure 2. The workflow of the iPSC-derived Cardiac Tri-Culture Model.

Results

Recording and analysis of kinetic patterns

On the day of assay, cardiac tri-culture microtissues were loaded with the EarlyTox Cardiotoxicity Kit and treated with compounds for 60 minutes. Spontaneous calcium oscillations were recorded using 30–50 frames per second to allow proper resolution of the complex oscillation patterns. Advanced analysis methods were implemented to provide multi-parametric characterization of the Ca2+ flux oscillation patterns. This phenotypic assay allows for the characterization of readouts such as oscillation frequency, amplitude, peak width, peak raise and decay times, and irregularity. In addition, appearance of early-afterdepolarization (EAD)-like event patterns, peak prolongation, and peak irregularity were evaluated. Representative tracing curves of the fluorescence signals are shown in Figure 3.

The tracing curve of fluorescence signals of Isoproterenol and 10 μM; and Chlorpromazine at 0.15, 0.6, 2.5, and 10 μM

Figure 3. The tracing curve of fluorescence signals of Isoproterenol at 0.04, 0.15, and 2.5 μM; E-4031 at 0.04, 0.15, 2.5, and 10 μM; and Chlorpromazine at 0.15, 0.6, 2.5, and 10 μM.

Summary of parametric effects of compounds

The trend of effects of eight modulators on cardiac activity of microtissues are summarized in Figure 4, where parameters like peak counts/300 sec, CTD 90 (sec) and amplitude (RFU) are shown. The wellknown agonists, like isoproterenol, increase the beat rate and reduce CTD90 as expected. While other antagonists, like cisapride and chlorpromazine, decrease the beat rate and amplitude after a certain threshold of concentration. The EC50 values of the compound concentration are summarized in Table 1.

Trend of change of Peak Counts/300 sec, CTD90 and Amplitude with increasing concentration of compounds. Red dots indicated control values for appropriate measurements

Figure 4. The trend of the change of Peak Counts/300 sec, CTD90 and Amplitude with the increasing concentration of compounds. Red dots indicated control values for appropriate measurements.

Compound

Peak Count

per 300 sec

CTD90

(width of peak/sec

at 90% of height)

Amplitude
MOA
Isoproterenol
1.25
0.35
12.76*
B2 adrenoreceptor agonist
Cisapride
1.9*
1.4
1.1
hERG blocker, antacid

*denotes an ambiguous value in Prism.

Table 1. Summary chart of EC50 values (µM) calculated with GraphPad Prism.

Investigation of 3D cardiac microtissue structures by high content imaging

High-content imaging of the microtissues were taken with Cy5, TRITC, and DAPI channels with multiple z-planes captured to cover the whole microtissue. The captured images were then analyzed with MetaXpress built-in custom module editor to analyze the 3D coordinates of each cell. Figure 5 shows the representative overlay images of the combination of cardiomyocytes and fibroblast cell staining and the combination of cardiomyocytes and endothelial cell staining. The images suggest that the cardiac fibroblast cells tend to form clustering structures compared to that of endothelial cells. We thus performed a silhouette analysis to further investigate this phenomenon.

3D reconstruction of cell distribution and silhouette analysis of clustering

To study the clustering of the cardiac fibroblast cells, we used a silhouette score ranging from -1 to +1 to measure how close each point in one cluster is to points in the neighboring clusters, where +1 indicates the point is far away from the neighboring clusters. The 3D reconstruction of the fibroblast cells in Figure 5A is shown in Figure 5C, where 4 clusters are obvious and gains the highest silhouette score (data not shown). The overall silhouette analysis of fibroblast cells shows that the fibroblast cells have a higher tendency to form clusters, though whether this tendency helps the maturation of cardiac microtissues or not needs more research.

Composite images of cardiac tri-culture microtissues

Figure 5. Composite images of cardiac tri-culture microtissues. After fixation and permeabilization, cells were stained either with a combination of anti-Troponin T AF647 + anti-VE-Cadherin AF568 or anti-Troponin T AF647 + anti-COL1A1 AF568. Cells were imaged with the DAPI, TRITC and Cy5 channels, 10X Plan Fluor objective. (A) Red: iCell Cardiomyocytes, Green: Cardiac Fibroblast Cells, Blue: Hoechst; (B) Red: iCell Cardiomyocytes, Green: iCell Endothelial Cells, Blue: Hoechst; (C) 3D reconstruction of fibroblast cells from the microtissues shown in Figure 5A.

Conclusions

Download PDF