Stem Cells International

Stem Cells International / 2010 / Article

Research Article | Open Access

Volume 2010 |Article ID 701212 | 10 pages | https://doi.org/10.4061/2010/701212

PKG and PKC Are Down-Regulated during Cardiomyocyte Differentiation from Embryonic Stem Cells: Manipulation of These Pathways Enhances Cardiomyocyte Production

Academic Editor: Jeffrey Gimble
Received11 Jun 2009
Revised26 Nov 2009
Accepted20 Jan 2010
Published26 Apr 2010

Abstract

Understanding signal transduction mechanisms that drive differentiation of adult or embryonic stem cells (ESCs) is imperative if they are to be used to cure disease. While the list of signaling pathways regulating stem cell differentiation is growing, it is far from complete. Indentifying regulatory mechanisms and timecourse commitment to cell lineages is needed for generating pure populations terminally differentiated cell types, and in ESCs, suppression of teratoma formation. To this end, we investigated specific signaling mechanisms involved in cardiomyogenesis, followed by manipulation of these pathways to enhance differentiation of ESCs into cardiomyocytes. Subjecting nascent ESC-derived cardiomyocytes to a proteomics assay, we found that cardiomyogenesis is influenced by up- and down-regulation of a number of kinases, one of which, cGMP-dependent protein kinase (PKG), is markedly down-regulated during differentiation. Delving further, we found that manipulating the PKG pathway using PKG-specific inhibitors produced significantly more cardiomyocytes from ESCs when compared to ESCs left to differentiate without inhibitors. In addition, we found combinatorial effects when culturing ESCs in inhibitors to PKG and PKC isotypes. Consequently, we have generated a novel hypothesis: Down-regulation of PKG and specific PKC pathways are necessary for cardiomyogenesis, and when manipulated, these pathways produce significantly more cardiomyocytes than untreated ESCs.

1. Introduction

To achieve the goals of stem cell therapies, the varying mechanisms that regulate the transition of adult or embryonic stem cells from undifferentiated to their differentiated states must be understood. This concept is important for producing bona fide terminally differentiated cell types from ES cells preventing teratoma formation. A prime candidate for stem cell therapy is to repair infarcted areas as a result of heart disease. The challenge has been to find repair mechanisms that prevent cell death inherent in cardiac remodeling and introduce nascent cardiomyocytes that restore heart function. A possible answer to this challenge is adult or ES cell-derived cardiomyoplasty [14]. However, without detailed comprehension of mechanisms that regulate ES cell differentiation, quality control issues abound once they are considered for clinical use.

As in the embryo, ES cell differentiation is thought to be an inductive process, in which development of each germ layer influences the other germ layers. Once we understand how a stem cell commits to a certain fate, forever surrendering its pluripotency, we can use this knowledge to enhance fate-directed ES-like cell differentiation.

With this concept in mind, we previously demonstrated the functional importance of the JAK/STAT3 [5] and PKC pathways in ES cells as they differentiate into beating cardiomyocytes [6]. Here, we not only reveal the functional importance of PKG, but also we show how this pathway can be manipulated to induce ES cells to form significantly more cardiomyocytes than in controls.

PKG is a well-studied serine/threonine protein kinase in many systems [79]. In vascular smooth muscle, PKG1 has been shown to activate myosin light-chain (MLC) phosphatase by phosphorylating its myosin-binding subunit, consequently inhibiting MLC phosphorylation and contraction [10]. Recent evidence has shown that PKG activation can interfere with cardiac function by phosphorylating and inhibiting the cardiac L-type C A 2 + channel current ( 𝐼 C a , L ) and, along with PKA, reducing the voltage-dependent fast N a + current in mammalian ventricular myocytes [11].

Based on evidence linking PKG1 with attenuated muscle contraction, combined with a kinase expression screen (Figure 1) implicating the loss of PKG1 in cardiomyocytes, we hypothesized that PKG1 must be downregulated so that ES cells can complete differentiation into beating cardiomyocytes. Moreover, based on our previous work, we hypothesized that manipulating the PKG and PKC pathways would produce significantly more cardiomyocytes than untreated ES cells. To test our hypotheses, we exposed ES cells to specific PKG inhibitors and analyzed ES cell differentiation. We found that inhibiting PKG1 in ES cells during differentiation promoted cardiomyogenesis compared to controls. Furthermore combining antagonists to PKC isotypes [6] and PKG1 clearly increased production of cardiomyocytes.

2. Materials and Methods

2.1. Cells

Pluripotent CCE-type mouse ES cells [12] were maintained as described in [5, 6, 13] and induced to differentiated following established protocols [5, 6, 13]. After 7 days in suspension, EBs were manually removed from suspension dishes and placed into each well of a 24-well plate in LIF-deficient medium. Rhythmic beating of EBs was monitored during days 11 through 18 using phase microscopy. EBs were plated, with the following experimental model: control EBs, control EBs with DMSO, EBs with PKG1 inhibitor, as well as EBs with PKG and either PKCβ or PKC 𝜁 inhibitors.

2.2. Reagents

The PKG1 𝛼 cell-permeable inhibitor DT-3 was purchased from Calbiochem (San Diego, CA) and was dissolved in DMSO at 100X. DT-3 is a molecular inhibitor rather than a pharmacological agent, and is part of the regulatory subunit that specifically binds to and inhibits only PKG1 𝛼 . The working concentration of DT-3 was 50  𝜇 M. Myr-PKC pseudosubstrates were purchased from Biomol (Plymouth Meeting, PA). Each inhibitor was dissolved in DMSO at 100X immediately prior to use. Unused inhibitors were aliquoted and stored at 8 0 C . PKC inhibitors are amino acid sequences that bind to their respective RACKs (receptor for activated protein kinase C) [6, 14, 15].

2.3. RT-PCR, 𝑞 RT-PCR, Western Blot Analyses, Confocal Microscopy, and Video Microscopy

Analyses were performed as described in [5, 6, 13]. For 𝑞 RT-PCR, all RNA samples were prepared by extraction with the mirVana miRNA isolation kit (Ambion, Austin, TX). Samples were treated with DNAseI to digest and contaminate genomic DNA and diluted to 10 ng/ 𝜇 L. All primers were designed with the aid of using the Promega Biomath website http://www.promega.com/biomath/calc11.htm. cDNA was made using the RT² First Strand Kit (C-03) and the R T 2 SYBR Green qPCR Master Mixes (PA-012) from SA Biosciences (Frederick, MD). No-RT controls were performed for all qRT-PCR reactions. Individual samples were run in triplicate, and each experiment was repeated at least 3 times. All samples were run on the Applied Biosystems ABI Prism 7500 system using SDS 2.1 software according to the manufacturer's instructions. Samples were analyzed using the downloadable forms available on the SA Biosciences website http://www.sabiosciences.com/pcrarraydataanalysis.php. GAPDH was used as the endogenous RNA control, normalizing each sample to its expression. All samples were run on the Applied Biosystems ABI Prism 7500 system using SDS 2.1 software. Relative gene expression was calculated using the 2 Δ Δ C T method.

2.4. FACS Analysis

Analysis of flow cytometry data was identical to that in [16]. Members of the Georgetown University Flow Cytometry Core Facility acquired and analyzed all flow cytometry data. Briefly, EBs were trypsinized, fixed in 4% formaldehyde, and permeabilized with 0.1% Triton-X-100 in blocking buffer. Primary antibodies for cardiac troponin were from Santa Cruz Inc. and secondary antibodies conjugated to Alexa Fluor 488 fluorochrome from Molecular Probes (Eugene, Oregon). Primary antibodies were added to samples for 1 hour, followed by 5 washes in blocking buffer. Samples were then subjected to secondary antibody for 1 hour followed by 5 washes in PBS. The x axis is the fluorescence level of cardiac troponin. The y axis is the cell count. M1 marks cardiac positive cells.

2.5. Statistics

All experimental groups in this study were replicated a minimum of 3 times. For display of data, each point on a graph represents a mean ± standard error of the mean (SEM; represented by error bars) for an experimental group or observation. To determine statistical differences between experimental groups or observation points, we applied the Anova statistical software package provided by Microsoft Excel (modified 𝑡 -test). Graphs and tables showing percentages were analyzed in two ways: by pooling all data together for a given treatment group or by obtaining a percentage for each experiment and producing an SEM for all experiments.

3. Results

3.1. PKG1 Protein and mRNA Levels Are Reduced in Beating Areas

The raw data from the kinase expression screen indicated a dramatic decrease of PKG1 in beating areas when compared to nonbeating control areas (Figures 1 ( a ) 1 ( c ) ). Western blot analyses by two independent laboratories verified PKG1 downregulation in cardiomyocytes (Figure 1 ( d ) ). After normalizing intensity of protein levels to tubulin, nonbeating areas were determined to have 1.7X (69%) more PKG1 protein than beating areas. Confocal microscopy corroborated the proteomics screen (Figures 1(e)–1(g)). Newly differentiated, beating cardiomyocytes identified by cardiac troponin T-(Tnnt2-) positive staining (Figure 1 ( f ) ) showed lower levels of PKG1 in beating areas when compared to Tnnt2-negative, nonbeating areas (Figures 1 ( e ) 1 ( g ) ). Semi-quantitative RT-PCR revealed PKG1 mRNA levels lower by approximately one-half in beating areas when compared to nonbeating areas confirming Western blot analyses (Figures 2(a) and 2(b)).

3.2. PKG1 Inhibition Affects Cardiomyocyte Differentiation

We then tested whether inhibiting PKG could affect ES cell differentiation into cardiomyocytes. We found that 2-3 days after treatment, beating areas in DT-3-treated EBs were markedly larger than untreated controls (Figure 2(c)). The same EBs examined in Figure 2(c) were measured for total EB area (Figure 2(d)), showing that control EBs and DT-3-treated EBs were the same size, thus providing evidence that inhibiting PKG can generate more cardiomyocytes than untreated controls. It is important to note the timing of when PKG and PKC inhibitors are added. We always added inhibitors on day 3 after plating EBs into 24-well dishes. Adding inhibitors prior to this (e.g., when EBs were in suspension dishes), after day 3, or after beating had already begun did not result in significantly more beating areas when compared to controls. In fact, adding inhibitors prior to plating prevented EBs from growing as large as untreated EBs. We do not know the reason for this finding, but we speculate that, while in suspension, ES cells need active PKG and PKC for proliferation. Beating areas were measured using a reticule in the eyepiece of a dissecting microscope or after EBs were stained by immunocytochemistry.

3.3. Combining PKG and PKC Isotype-Specific Inhibitors Promotes ES Cell-Derived Cardiomyocyte Differentiation

When ES cells are coaxed down the cardiomyocyte pathway, usually a small percentage of ES cells become cardiomyocytes [5, 6, 1719]. We previously showed that molecular manipulation of the PKC pathway increased that percentage significantly [6] similar to manipulating the PKG pathway (above). Based on these observations, we surmised that if both pathways were inhibited significantly more cardiomyocytes would result when compared to manipulation of either pathway alone or controls.

Analyzing over 100 EBs for each treatment, we routinely observed significantly more EBs beating sooner after incubation in DT-3 or DT-3 + either PKC inhibitor when compared to control (Figure 3(a)). On average, by day 12 of differentiation, 10% untreated/DMSO control EBs had beating areas, while 40% treated EBs contained beating areas. This trend continued throughout the duration of the experiment.

The combinatorial effect of inhibiting PKG and PKC on cardiomyocyte differentiation became clear when individual beating areas were counted and averaged (Figure 3(b)). By day 12, EBs treated only with DT-3 had a 20% difference in beating areas versus controls, whereas by day 16 there was a 40% difference between DT-3-inhibited EBs versus controls. EBs treated with both DT-3 and PKC inhibitor had a substantial percentage that peaked at an average of 55% on day 15.

Beating patterns unique to PKG- and PKCβ-inhibited EBs were also observed. After 14 days in culture, beating areas within PKG- and PKCβ−inhibited EBs covered approximately 2X the total area of control EBs (Figure 3(c)); however, overall EB sizes were not affected by inhibitor either alone or in combination. They also only exhibited minor cell death around the edges (analyzed by trypan blue, data not shown). Interestingly, contraction seemed to “flow” between two large, concurrent beating areas in PKG/PKC-inhibited EBs, whereas beating areas in control EBs were normally isolated.

Beating frequency was also measured; however, no significant difference was observed with respect to cardiomyocytes differentiated with or without PKC/PKG inhibitors. Control EBs beat rate was 78 + 5 beats/min, while beating frequency for EBs treated with PKCβ, PKG, and PKCβ/PKG inhibitors was 70 ± 6 beats/min, 68 ± 5 beats/min, and 65 ± 5 beats/min, respectively.

3.4. Fluorescence-Activated Cell Sorting Reveals a Shift in EB-Derived Cardiomyocyte Differentiation

Beating areas were clearly larger in treated EBs; however, it was difficult to discern whether more cells were beating or, alternatively, the same number of beating cells as found in controls was simply dispersed over a larger portion of the EB. To determine which scenario was correct, we subjected treated and untreated EBs to FACS, which revealed that the type of treatment affected the production of ES cell-derived cardiomyocytes. Although all treatments markedly increased the number of cardiomyocytes when compared to control EBs, the highest percentage of cardiomyocytes was found in EBs treated with DT-3 + PKC 𝛽 inhibitor (Figure 4). These results confirm that manipulation of distinct signal transduction pathways within EBs can coax more cells to become cardiomyocytes than untreated control EBs.

3.5. qRT-PCR Suggests That PKG Act at the Gene Level of Cardiomyocyte Differentiation

In the following experiments, we compared untreated EBs with EBs treated with DT-3 alone or DT-3 + PKCβ at day 12 post LIF removal. We chose this time point based on our observations in Figure 3, which showed that cardiomyocytes were observed significantly sooner in DT-3 or DT-3 + PKC 𝛽   inhibitor-treated EBs when compared to untreated EBs.

When compared to untreated EBs at the same day, at least 8 cardiac genes were upregulated in EBs treated with DT-3 + PKCβ inhibitors (Figure 5 ( a ) ). Interestingly, specific cardiac genes were enhanced when DT-3 + PKCβ inhibitors were combined (Figure 5 ( b ) ). In DT-3-treated EBs, ANP was increased 2.87-fold (Figure 5 ( a ) ), while ANP was increased 6.37-fold in DT-3 + PKCβ inhibitor-treated cells (Figure 5 ( b ) ). MLC2a was increased 95.24-fold in DT-3-treated cells (Figure 5 ( a ) ); however, it was increased 251.29-fold in DT-3 + PKCβ inhibitor-treated cells (Figure 5 ( b ) ). DT-3 + PKCβ inhibitor-treated cells also had higher expression of the cardiac-specific cytoskeleton marker, cTnT (37.50-fold), when compared to DT-3-treated cells (3.85-fold).

Interestingly, when comparing EBs treated with DT-3 alone versus DT-3 + PKCβ inhibitors at day 12 post LIF removal, we found that atrial markers were upregulated in DT-3 + PKCβ inhibitor-treated EBs. When all data are combined, they support our hypothesis that simultaneous inhibition of PKC and PKG increases the number of cardiomyocytes when compared to untreated EBs, and in addition, downregulation of PKCβ and PKG appears to guide them down the atrial pathway.

4. Discussion

Signal transduction mechanisms involving PKG1 have been studied in many systems; however, the role of PKG1 in initial cardiomyocyte differentiation is not well understood [20, 21]. A previous study showed that PKG1 protein and gene expression are reduced in beating cardiomyocytes [22]. Here we show that physically down regulating PKG in ES cells during cardiomyogenesis generates more cardiomyocytes than untreated controls. These results support our hypotheses that downregulating PKG1 stimulates ES cell differentiation into cardiomyocytes and that combining PKG/PKC specific inhibitors results in significantly more cardiomyocytes when compared to either inhibitor alone or untreated controls.

Why would PKG and PKCβ and 𝜁 need to be downregulated in beating areas? One answer is that PKG can be activated by nitric oxide (NO) through activation of guanylate cyclase, which converts GTP into cGMP [79]. NO is continually present in ES cells especially during stages of differentiation prior to the cardiac lineage [22, 23]. With the evidence from past investigations demonstrating that cGMP attenuates muscle contraction in adult cardiomyocytes [11, 24] by inhibiting the cardiac L-type C A 2 + channel current ( 𝐼 C a , L ) and, along with PKA, the voltage-dependent fast N a + current in ventricular myocytes [11], we conclude that ES cells must downregulate PKG to enable activation of the cardiomyocyte electrical system. Also, in other systems, PKG can phosphorylate MLC phosphatase resulting in inhibition of contraction [10, 24], which could further impair contraction in ES cell-derived cardiomyocytes if it is not downregulated. The purpose for downregulating PKC has been described in [6].

However, another answer is that PKG and PKC could have been recruiting more ES cells to differentiate into cardiomyocytes. DT-3 has been shown to only affect the activity of PKG and not to affect gene transcription [2528]. As a result we propose that the upregulation of specific cardiac genes is due to a release of a putative PKG/PKCβ repression mechanism. Once PKG and/or PKCβ are downregulated, more cells within an EB can be recruited to enter the cardiac pathway as PKG and PKC cardiac repressors involved in transcription can become deactivated. PKG has been shown to regulate gene expression under certain circumstances [29] as has PKC [30].

Substantial research promise includes applying these signal transduction findings to human adult stem cells derived from cord blood, bone marrow, or the new iPS. Though it is currently believed that adult stem cells are not as flexible as ES cells, it might be possible to apply these methods to transdifferentiate significantly more adult stem cells into embryonic-like cardiomyocytes for therapeutic use. We are currently investigating the possibility of applying these same PKG and PKC inhibitors to mesenchymal stem cells. The results of this study could contribute to the efforts aimed at the ultimate goal of circumventing the harmful affects of natural cardiac remodeling and thus safely rebuilding hearts damaged by heart attack or congestive heart failure.


DT-3 compared to controls

Day 12: P<.02Day 13: P<.002Day 14: P<.008Day 15: P<.005Day 16: P<.002Day 17: P<.002

DT-3 + PKCζ inhibitor compared to controls

Day 12: P<.04Day 13: P<.0005Day 14: P<.001Day 15: P<.0001Day 16: P<.001Day 17: P<.05

DT-3 + PKCβ inhibitor compared to controls

Day 12: P<.001Day 13: P<.003Day 14: P<.0008Day 15: P<.001Day 16: P<.001Day 17: P<.003


DT-3 compared to controls

Day 12: NSDay 13: NSDay 14: NSDay 15: NSDay 16: P<.006Day 17: P<.001

DT-3 + PKCζ inhibitor compared to controls

Day 12: NSDay 13: P<.0001Day 14: P<.0001Day 15: P<.0006Day 16: P<.006Day 17: P<.02

DT-3 + PKCβ inhibitor compared to controls

Day 12: NSDay 13: NSDay 14: P<.02Day 15: P<.02Day 16: P<.001Day 17: P<.02

Acknowledgments

The authors thank Denver Lough for his expert opinions with our qRT-PCR data. They also thank Tammy Gallicano for her critical reading of the manuscript. This work was supported by a grant from the American Heart Association (#0265429U) and by an Internal Research Grant from Georgetown University Medical Center.

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Copyright © 2010 Stephen Mobley et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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