Abstract
Pluripotent stem cells are promising source of cells for tissue engineering, regenerative medicine and drug discovery applications. The process of stem cell differentiation is regulated by multi-parametric cues from the surrounding microenvironment, one of the critical one being cell interaction with extracellular matrix (ECM). The ECM is a complex tissue-specific structure which is an important physiological regulator of stem cell function and fate. Recapitulating this native ECM microenvironment niche is best facilitated by decellularized tissue/organ derived ECM, which can faithfully reproduce the physiological environment with high fidelity to in vivo condition and promote tissue-specific cellular development and maturation. Recognizing the need for organ specific ECM in a 3D culture environment in driving phenotypic differentiation and maturation of hPSCs, we fabricated an ECM array platform using native-mimicry ECM from decellularized organs (namely pancreas, liver and heart), which allows cell-ECM interactions in both 2D and 3D configuration. The ECM array was integrated with rapid quantitative imaging for a systematic investigation of matrix protein profiles and sensitive measurement of cell-ECM interaction during hPSC differentiation. We tested our platform by elucidating the role of the three different organ-specific ECM in supporting induced pancreatic differentiation of hPSCs. While the focus of this report is on pancreatic differentiation, the developed platform is versatile to be applied to characterize any lineage specific differentiation.
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1. Introduction
Pluripotent stem cells are promising source of cells for tissue engineering and regenerative medicine application. The process of stem cell differentiation is regulated by multi-parametric cues from the surrounding microenvironment including extracellular matrix (ECM), soluble factors, matrix stiffness, substrate topography and adjacent cell-cell interactions [1]. Stem cells interact with the ECM via several different cell surface receptors, of which the largest family is integrins [2]. This cell-ECM interaction allows cells to sense mechanical and biochemical cues and respond directly by inducing downstream cellular signaling, modulating the response of other integrins and influencing appropriate stem cell lineage commitment [3–6]. Hence it is of interest to quantify the contribution of ECM, alone and in synergy with the other microenvironmental factors, in modulating stem cell fate.
The ECM is a complex tissue-specific structure composed of collagens, proteoglycans, and glycoproteins. Multiple studies using variety of techniques (summarized in review by Rozario et al[ 7]) have confirmed the effect of ECM on stem cell fate commitment. In vitro studies with isolated ECM proteins have shown the effects of laminin and fibronectin on definitive endoderm differentiation of mouse embryonic stem cells [8]. Furthermore, varying combinatorial ECM proteins such as fibronectin, laminin, and collagen type IV interspersed within collagen I hydrogel have demonstrated to influence the osteogenic and endothelial differentiation of human embryonic stem cells [9]. Recognizing the need for a multi-matrix system in reconstructing the ECM microenvironment, there has been a focused effort in developing high throughput multicomponent ECM array platforms. Most of these platforms are ECM protein microarrays to facilitate the screening of stem cell fate after exposure to various ECM molecules in an adherent two-dimensional (2D) configuration [10–16]. Further recognizing the benefits of reproducing the three-dimensional (3D) culture microenvironment has initiated the development of 3D hydrogels on a chip by depositing cell-laden alginate solution using microarray spotting techniques [17, 18]. Multiplexed 3D cellular microarray was further developed for combinatorial screening of stem cell differentiation in response to multiple ECM and growth factors [14, 17–21]. Majority of these approaches use purified ECM proteins and its combinations in an attempt to reconstruct the cell environment. While promising, there is still inadequate information on engineering the complexity of the native, tissue-specific ECM in an in-vitro setting. To date, attempts to generate tissue-mimetic ECM that recapitulate the function of the ECM in vivo have had limited success using combinatorial single purified ECM [22, 23]. On the other hand, tissue/organ-specific ECM has been shown to expose the cells to a more physiologically relevant milieu with higher fidelity to in vivo condition and promote tissue-specific cellular development and maturation [24–26].
Advancement in organ decellularization techniques have made it possible to extract organ/tissue specific ECM while closely preserving their native composition and microstructure [23, 26–28]. Specific to pancreas, our group [29] and Soker et al[ 30] have demonstrated successful decellularization of pancreas scaffold from murine and porcine source respectively, along with more recent demonstration on human pancreas decellularization by Peloso et al[ 31]. The resulting decellularized tissue/organ ECM have also been shown to be promising in regulating stem cell differentiation in vitro, as a delivery platform to improve glycemic control and to study the comprehensive roles of ECM in mesenchymal stem cell phenotype commitment [23, 27, 32, 33]. More recently in the context of pluripotent stem cell (PSC), it was observed that exposure to organ-specific decellularized ECM scaffolds can enhance organ-specific maturation of PSC in lung [25, 34, 35], heart [36–38], and kidney [39, 40]. These studies exposed the cells to a multitude of biochemical and biophysical properties contained within the decellularized tissue/organ scaffolds. In addition to the effect from ECM compositional differences, for instance when comparing hPSC seeded in decellularized lung versus kidney scaffolds [41], the cells also experience different tissue stiffness and topological structure, all of which influence stem cell fate [42–44]. There is currently lack of systematic quantitative studies to unravel the contribution of each factors related to organ-specific properties. Hence, it remains a challenge to study the effects of organ-specific ECM composition that leads to a desirable cell fate.
In this paper, we report the fabrication of an array platform to expose the organ-derived ECM to cells cultured in either adherent 2D configuration or aggregated 3D configuration. We demonstrate that these miniaturized arrays could function as a tool to investigate cell-ECM interaction during hPSC differentiation, while being compatible with rapid quantitative imaging using LI-COR scanner. We first derived organ-specific matrix by extracting ECM from decellularized pancreas, liver and heart using chaotropic agents. Characterization of resulting ECM extracts revealed the retention of complex and diverse ECM compositional profiles in all three organs. To elucidate the role of organ-specific ECM in influencing stem cell function, organ-specific ECM extracts were immobilized onto the array surface in 2D and 3D configurations. We demonstrated the utility of the ECM array in 2D configuration by examining the cell-ECM adherence of human PSC derived pancreatic progenitor (PP) cells. Our result showed differential adherence profiles when hPSC-PP cells were plated onto the 2D configuration (2D ECM array), suggesting hPSC-PP cells were sensitive to organ-specific differences in the decellularized matrices. In the 3D configuration (3D ECM array) with aggregated PP culture, our platform showed excellent compatibility with enhanced maturation into insulin expressing cells in organ-derived ECMs compared to matrigel. Collectively, this platform demonstrated for the first time, the use of complex native-derived ECM in an array platform to rapidly interrogate stem cell fate and function. The developed platform will pave way for rational design of engineered tissue-specific stem cell niches and support the developing field of stem cell biology, tissue engineering and regenerative medicine.
2. Methods
2.1. Organ decellularization and ECM extraction
We used a perfusion decellularization protocol reported previously [29], to obtain organ-specific decellularized pancreas, liver and heart scaffolds explanted from female ICR mice (Taconic, ages of 6–12 weeks) after systemic heparinization. The decellularized organs were first lyophilized in Virtis Benchtop K freeze dryer, operating at 60 mTorr for 3 d. After lyophilization step, 30–50 mg dry weights of the lyophilized tissues from each organ were pulverized into ECM powder (figure 1(A(ii))). This was followed by treatment with 50 µg ml−1 DNase (Roche) for 10 min and washed three times with PBS. For ECM extraction, each decellularized tissue were digested in high molar of chaotropic agents (4 M guanidine HCl, 8 M Urea in PBS) overnight with gentle shaking at 4 °C. Samples were be centrifuged at 13 000 g for 10 min at 4 °C to remove insoluble material and dialyzed on floating V-series membranes (Millipore) against PBS for one hour [45]. The final ECM solution was filter-sterilized through PVDF syringe filter units (0.22 mm, Millipore), and then stored at 4 °C until further use.
2.2. Surface modification and characterization
Patterning substrates were prepared by first coating glass slides or tissue culture plates with nitrocellulose [46]. Static water contact angle measurements were performed to assess the hydrophobicity of the coated surface. Matrigel was used as a control ECM to pattern the surface and test protein immobilization efficiency. Matrigel was applied to nitrocellulose-coated surface in droplets of 1 µl–3 µl volume containing 100 µg ml−1 concentration. After about 1 min, droplets were removed by aspiration and the substrate surface was blocked by washing twice with 1% bovine serum albumin (BSA)/PBS (Sigma Aldrich). To verify the efficiency of ECM protein patterning on nitrocellulose-coated surface, Lectin peanut agglutinin (PNA)—Alexa 647 (Invitrogen, Molecular Probes) was used to detect the immobilized ECM protein. PNA lectin stain was used at a concentration of 200 µg ml−1 in PBS and followed by three PBS washes. Microspots' diameter were measured using slide scanning images recorded with Metamorph 7.5.6.0 (Molecular Device) software on an Olympus IX81 inverted microscope. The fluorescence intensities (RFU) of the PNA lectin stain was quantified with LI-COR odyssey scanner using the 700 nm wavelength channel.
2.3. ECM characterization with biochemical assays and SDS-PAGE
After ECM extraction, individual organ's ECM was assessed for protein and ECM content as follows. For protein quantification, bicinchoninic acid (BCA) assay (Thermofisher) was done (n = 3 for each organ) according to manufacturer's instruction. For ECM content, organ derived ECM extracts (n = 3 for each organ) were analyzed with the Sircol Collagen and Blyscan GAG assay kits (Biocolor Life Sciences Assays, Carrickfergus, UK) according to the manufacturer's instructions in order to quantify the amount of each component present. The final content was normalized to the starting dry weight of each lyophilized decellularized organ.
For SDS-PAGE analysis, ECM samples were loaded at 4 µg per well. 20 µl of sample was mixed with 20ul of 2X NuPAGE LDS sample buffer +5% β-mercaptoethanol and heated at 98 °C for 5 min. This resulting mixture was loaded onto a NuPAGE 3%–8% Tris-Acetate Gel in 1X Tris-Acetate Running Buffer for 5 h at 60 V constant. Gel was stained using Bio-Rad Bio-Safe Coomasie stain for 4 h, and destained overnight in distilled water. The resulting gel was imaged using The Bio-Rad ChemiDoc XRS + system.
2.4. 2D organ-specific ECM array fabrication
Each organ-derived ECM extracts were diluted into 100 µg ml−1 and 1 µl of ECM solution per droplet were spotted with a repeater pipette (Eppendorf) onto the nitrocellulose-coated glass slides or tissue culture plates. After about 1 min, droplets of ECM solutions were aspirated and blocked by washing twice with 1% BSA/PBS. Five microspots were generated in square arrays for a well in a 6 well plate, and six by four droplets were generated in rectangular arrays for a glass slide. After fabrication steps, the arrays can be stored in blocking buffer at 4 °C until further use. All arrays used in this study were used within 3 months after fabrication.
2.5. Atomic force microscopy (AFM) surface roughness and stiffness measurement
For surface roughness measurement, AFM imaging of the ECM protein immobilized surface (MFP3D, Asylum Research) was performed in PBS at room temperature at a scan speed of 1 Hz with a resolution of 256 × 256 pixels. The scan size was 10 micron × 10 micron regions. Surfaces were scanned with a silicon nitride conical tip of k = 0.8 N m−1( Veeco, Ltd), and root mean square (RMS) surface roughness analysis was performed on four regions per sample [47].
For stiffness measurement, 3D ECM array containing organ-derived alginate microspots were prepared and placed in room temperature PBS for AFM measurements. All AFM force-stiffness measurements were taken using silicon nitride cantilevers (k = 0.2 N m−1) attached to silica microspheres (r = 3400 nm). Force measurements were taken at 16 locations over a 4 × 4 grid and two microspot samples were measured per condition. The resulting force curves were analyzed within the AFM-MFP3D software using Hertzian-fit for indentation depth of <10 microns [48].
2.6. Human embryonic stem cell culture and differentiation into pancreatic progenitor cells
The H1 hESC lines used in these experiments were obtained from the University of Pittsburgh Stem Cell Core, and are part of the NIH hESC registry eligible for NIH funding. Undifferentiated H1 hESCs were maintained in feeder-free culture in mTeSR medium (StemCell Technologies) on hESC-qualified Matrigel (BD Biosciences)–coated tissue culture plates. Cultures were fed every day with mTeSR medium and passaged with Accutase (StemCell Technologies) at 70% confluency. We have previously reported differentiation of hESC to pancreatic progenitor cells [49–51]. Briefly, first step of pancreatic differentiation is definitive endoderm induction by using 100 ng ml−1 ActivinA (R&D Systems) with 25 ng ml−1 Wnt3A (R&D Systems) for 4 d. This is followed by pancreatic progenitor induction with 0.2 μM KAAD-cyclopamine for 2 d (R&D Systems) and 0.2 μM KAAD-cyclopamine with 2 μM retinoic acid (Sigma-Aldrich) for 2 d. For generation of PP aggregates, an alginate encapsulation differentiation platform was utilized as previously described [49]. Encapsulated cells were grown into small aggregates and treated with the same induction protocol to differentiate into pancreatic progenitor stage. A basal media of DMEM/F12 plus 0.2% BSA and B27 supplement was used for the differentiation. Cultures were performed with p55–p70 hESCs in 37 °C incubator, 5% CO2, and 100% humidity.
2.7. On-chip immunofluorescence assay and LI-COR Odyssey scanner analysis
Similar to regular immunofluorescence assay, attached 2D cells or encapsulated cells on 3D ECM arrays were first fixed for 15 min with 4% formaldehyde (Thermo Scientific). For 3D ECM array staining, we used dH2O supplemented with 10 mM BaCl2 to replace PBS for all the washing steps because cation in alginate could be dissolved by displacement of other stronger ions in PBS. For 2D ECM array staining with ECM proteins, ImmEdge Hydrophobic Barrier Pen (Vector Laboratories) was used to confine the antibody solutions to staining specific microspot of interest. The blocking buffer was also supplemented with 10 mM BaCl2 when staining on 3D ECM arrays. Following fixing, samples were permeabilized with 0.1% TritonX100 for 15 min and blocked with Odyssey Blocking buffer (LI-COR Biosciences) for 1 h. For primary antibodies, we used the following antibodies: goat anti-PDX1 (1:400, R&D Systems), goat anti-NKX6.1, rabbit anti-Cpeptide (1:200, Cell signaling). Antibodies were diluted to half of the suggested immunofluorescence concentration as the combination of robust Near-IR dyes and sensitive LICOR scanner can provide sufficient to reliably detect signals. Incubation time for primary antibodies was overnight in 4 °C. Slides were washed three times (5–10 min) with PBS before secondary antibody staining. Infrared anti-goat and anti-rabbit IRDye800CW secondary antibody (1: 800, LI-COR Biosciences) and DRAQ5 (1: 10 000, Invitrogen) in blocking were then added to the arrays and incubated for 1 h at room temperature. This was followed by PBS washing for three times and incubated in PBS. The plates were imaged on an Odyssey infrared scanner using slide or plate settings with sensitivity of 5 in both the 700 and 800 nm wavelength channels. Data were acquired by using Odyssey image studio software, exported and analyzed in Excel (Microsoft). Primary antibody stained values were background subtracted from microspots treated only with secondary antibody, and then normalized to cell numbers by dividing by the total DNA (DraQ5) fluorescence signal.
2.8. Cell-adherence evaluation on 2D ECM array
Cell adhesion assays were carried out on 2D ECM array on glass slide or tissue culture plastic. If glass slides were used, we used chamber glass slides (Nunc™ Lab-Tek™) for the purpose of cultivation here. hESC-derived PP cells were treated with 10 μM of the rock inhibitor (RI) Y-27632 for 4 h before dissociation into single cells using accutase. Single-cell suspension of hESC derived-PP cells in serum-free media (DMEM/F12 with B27) were plated into the patterned ECM microspots. For short term attachment, cell suspension was incubated for 2 h in serum-free medium to allow for cell attachment (shaking the plates every 15 min to redistribute the cells). The arrays were then gently aspirated to remove unattached cells and fixed for cell staining and counting. For long term attachment, after first 2 h of cell attachment and removal of unattached cells, fresh culture medium with serum was added and the cells were allowed to attach overnight.
2.9. 3D ECM array fabrication
Similar to the protocol described by Fernandes et al[ 17], poly-L-lysine (PLL) (0.01% w/v) (Sigma Aldrich) and BaCl2( 0.1 M) were mixed in 1:2 volume ratio and spotted on the nitrocellulose coated surface using repeater pipette (Eppendorf). A mixture of 1.1% (w/v) low-viscosity alginate (Sigma-Aldrich), ECM extracts and hESC-PP cell suspension (2.5 × 106 cells ml−1) in DMEM/F12 media was prepared and micro-spotted on top of the BaCl2/PLL bottom layer using the repeater pipette.
2.10. Differentiation of PP aggregates in 3D ECM array
For hESC-derived PP aggregates differentiation in 3D ECM array, the PP aggregates were first generated using the alginate differentiation platform described above. Alginate differentiated PP aggregates were treated with 10 μm of the rock inhibitor (RI) Y-27632 for 4 h before decapsulation with 100 mM EDTA. This was followed by passing the PP aggregates through 100 µm mesh-sized cell strainer to avoid larger aggregates being included in the microspots. Approximately 8000–12 000 PP aggregates were mixed in 1 ml of alginate and ECM extract solutions to micro-spot on top of the BaCl2/PLL bottom layer using the repeater pipette. Subsequently, the cell-laden 3D ECM array was cultured in base maturation medium consists of DMEM/F12 plus 0.2% BSA and B27 supplement with nicotinamide (10 μM, Sigma Aldrich) and 10 μm of the rock inhibitor (RI) Y-27632 for 2 d. After that, fresh maturation media with notch inhibition (30 μM DAPT, Santa Cruz) was added and cultured for another 7 d. The medium was changed daily for a total for 9 d culture period.
2.11. Cell viability assay: live/dead staining and quantification
Cell viability on the 2D and 3D ECM array was assessed via a Live/Dead assay (Invitrogen). Briefly, calcein AM (1 µM) and EthD-1 (2 µM) were added together with culture medium to the cell seeded arrays and incubated for 15 min under light protection in room temperature. Samples were washed twice with PBS and continued with epifluorescence microscopy to distinguish between live cells (green) and dead cells (red). Quantification of live/dead cells was accomplished by conversing all individual (red and green) channel to grayscale and followed by analysis with Metamorph Image software.
2.12. Immunofluorescence staining and confocal imaging
The immunofluorescence staining protocol is identical to the on-chip immunofluorescence protocol described above except for the following. For blocking buffer, 10% donkey serum (Jackson Immuno) was used. Anti-rabbit 488 and 555 Alexafluor secondary antibodies (1:500, Invitrogen) were used. The only primary antibody used here is Cpeptide (1:100, Cell signaling). Z–stacks images were acquired using a Nikon A1 laser confocal system (5 µm steps).
2.13. Array microscopy imaging and quantification
Microscope images of each array were acquired at 4x using an Olympus IX81 microscope. Images were recorded using Metamorph 7.5.6.0 (Molecular Device) software. The arrays were imaged using phase-contrast, DAPI, GFP, Cy3 and Cy5 optics. Scan slide module from Metamorph software were utilized and array images were montaged. For quantification purposes except for live/dead staining, the slides were acquired using Odyssey image studio software, exported and analyzed in Excel (Microsoft). Each array (on glass or tissue culture wells) were imaged using a focus height that gave the maximum signal for each wavelength channel (700 nm and 800 nm) at the center of the array.
2.14. Statistical analysis
Quantification data were expressed as mean ± SD. Significant differences among groups were determined by two-tailed Student's t-test for two-group comparisons or ANOVA followed by post-hoc analysis for multiple group comparisons. Probability values at P < 0.05 (*) and P < 0.01 (**) indicated statistical significance.
3. Results
3.1. Preparation and characterization of organ-specific ECM extracts
Figure 1(A) illustrates the overall workflow used to create an ECM array using decellularized organ ECM extracts. Organ-specific ECM scaffolds were first derived by perfusion-decellularization of whole organs [29] using an in-house bioreactor, as previously described. Keeping the decellularization protocol consistent, we successfully decellularized whole organ pancreas, liver and heart. Figure 1(A(i)) depicts the translucent acellular organ scaffolds generated after the complete removal of the cellular materials from the native organs. This is followed by lyophilization and pulverization steps to obtain organ-specific ECM powder (figure 1(A(ii))). We then extracted the ECM using high molar of chaotropic agents (8 M Urea and GuHCl), a commonly used protocol for ECM preparation [52–54]. The resulting extracts were dialyzed against PBS to yield pancreas-, liver- and heart-organ-specific ECM extracts (denoted as P-ECM, L-ECM and H-ECM respectively). We first characterized the organ-derived ECM extracts through sodium dodecyl sulphate (SDS)–PAGE for the presence of ECM proteins or other peptides (figure 1(B)). We loaded the same concentration of organ-derived ECM extracts (4 µg well−1) and controls (collagen I and matrigel) on each well of the gel. SDS page analysis revealed that all three organ-derived ECM extracts contained a number of high molecular weight ECM proteins (∼250 KD) and low molecular weight (<100 KD) protein components that were absent in commercial bovine collagen type I and matrigel (figure 1(B)). There were also considerable differences in terms of the bands detected among the three organ-derived ECM extracts. Next, the organ-specific ECM extracts were analyzed for protein (BCA assay) and for ECM content such as collagen and glycosaminoglycans (GAGs). BCA assay revealed highest protein content in H-ECM (8.07 ± 4.7 µg mg−1 dry weight), followed by L-ECM (6.90 ± 3.1 µg mg−1 dry weight) and P-ECM (3.98 ± 1.5 µg mg−1 dry weight) but without statistical significance among the three extracts (n = 3, P > 0.05; figure 1(C)). For the ECM content, sircol collagen assay demonstrated significant higher collagen content in H-ECM (0.78 ± 0.2 µg mg−1 dry weight, n = 3) as compared to L-ECM (0.48 ± 0.05 µg mg−1 dry weight, P < 0.05; figure 1(D)) but not significantly higher than P-ECM (0.53 ± 0.07 µg mg−1 dry weight, P > 0.05). There was also no significant difference between L-ECM and P-ECM in terms of the collagen content (P > 0.05). While L-ECM was low on collagen content, it was high for sGAG content, as quantified by Blyscan assay to be 0.14 ± 0.02 µg mg−1 dry weight, significantly higher than H-ECM and P-ECM (0.08 ± 0.01 and 0.03 ± 0.001 µg mg−1 dry weight respectively, P < 0.01; figure 1(E)). This observation indicated that P-, L-, and H-ECM preserved complex multi-faceted ECM proteins, suggesting better mimicry of the native organs' intricate ECM composition. It also indicates quantitative differences in the retained ECM composition across different organs.
3.2. Fabrication of an array platform presenting the organ-derived ECM extracts
Having extracted the ECM from individual native organs, we next fabricated the patterning substrates to present the organ-derived ECM as individual microspots. We first coated glass slides with a thin nitrocellulose layer to immobilize the ECM proteins. Nitrocellulose coating rendered the surfaces more hydrophobic and resulted in water contact angles of 53.3º ± 0.2º, significantly higher than uncoated glass surface (36.9º ± 1.1º, n = 3, P < 0.01; figure 2(A)). This method allows adequate protein adsorption while providing sufficient optical clarity for microscopy and scanning applications [11]. To verify the efficiency of protein deposition, we used matrigel as our testing ECM solution and coated it on tissue culture plastic (TCP) pre-treated with nitrocellulose and compared with non-treated TCP for 5 min and 60 min. Immunostaining by Lectin peanut agglutinin (PNA) detected significantly higher intensity of relative fluorescence unit (RFU) on surfaces pre-coated with nitrocellulose (137 500 ± 2210 RFU versus 58 900 ± 3370 RFU for 5 min coating; 240 000 ± 20 405 RFU versus 110 050 ± 28 520 RFU for 60 min coating, P < 0.01, n = 3; figures 2(B) and (C)), indicating efficient deposition of ECM-associated carbohydrate structures on nitrocellulose surface. After confirming the efficient adsorption of matrigel, we then evaluated our organ-derived ECM by microspotting them onto nitrocellulose-coated glass slide. All organ-derived ECMs (P-, L- and H-ECM) and control ECM (matrigel) were spotted at the same concentration of 100 µg ml−1. Atomic force microscopy (AFM) of microspotted organ-derived ECM extracts showed significant higher surface roughness—root mean square (RMS) than nitrocellulose only surface (P < 0.01, n = 5; figure 2(D), supplemental figure 1 (available online at https://stacks.iop.org/BF/13/015015/mmedia)), confirming their immobilization onto the nitrocellulose coated surface. Furthermore, the RMS value were about the same for all the organ-derived ECM extracts and matrigel control, indicating similar amount of proteins were immobilized [55]. In order to reproducibly pattern protein microspots of similar amount of protein, we used a repeater pipette that dispenses constant volumes of ECM protein solution. Matrigel measuring in 1–3 µl volume were spotted with a diameter ranging from 1500 μm–2300 μm to yield spatially separated ECM microspots (figure 2(E)). Each array contains up to 24 microspots for a glass slide (figure 3(A)) or 25 microspots for a well in 6 well plate (figure 6(A)). To render the glass surface in between the patterns resistant to unspecific protein and cell attachment, the remaining nitrocellulose layer were blocked with BSA. LI-COR slide scanning images of PNA lectin staining showed that each volume of microspot had similar diameter (<5% difference) and the diameter correlated linearly (R2 = 0.95) with increasing volume (figure 2(F)). The same trend was observed with LI-COR quantification of near-infrared (680 nm) PNA stain—it correlated linearly with increasing volume and there was narrow variability of RFU for each volume (figure 2(G)), confirming the reproducible spotting quality that can be achieved by the repeater pipette dispersion. Taken together, these data suggest that this spotting technique is reproducible, and the platform can be efficiently patterned with organ-derived ECM proteins to generate an organ-specific ECM array.
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Standard image High-resolution image3.3. ECM array combined with quantitative imaging permits analysis of ECM composition of organ-derived ECMs
Next, we characterized the individual matrix protein components of the organ-derived ECM spotted on the array by on-chip, immunofluorescence staining with IR-dye, and fluorescence quantification by LI-COR Odyssey imager (figure 3(A)). As a validation for this assay, we microspotted matrigel to study the assay sensitivity and range for the detection of the two most abundant ECM protein contained in Matrigel—Laminin and Collagen IV proteins. LI-COR image analysis detected increasing fluorescence intensity for both Laminin and Collagen IV staining with increasing concentration of spotted matrigel. The protein fluorescence intensity correlated linearly (R2 > 0.97; supplemental figure 2) with matrigel concentration for both proteins over a range of dilution factors (1:4 to 1:16). Having validated our array platform, we next used it to characterize the ECM composition in P-, L-, and H-ECM, testing for a range of ECM proteins including Collagen I, Collagen IV, Fibronectin and Laminin. These ECM molecules were chosen because they are known to be critical in determining stem cell fate [56] and are the primary ECM components in various organs, including the pancreas [57, 58]. We quantitatively determined the levels of individual ECM proteins and compared to matrigel, rat tail collagen I (positive controls) and gelatin (negative control) (figures 3(B)–(E)). As expected, the on-chip immunofluorescence assay was able to detect the ECM protein profiles on both the positive ECM controls (high laminin and collagen IV for matrigel; high collagen I for rat tail collagen; figures 3(B) and (C)). Negative ECM control—gelatin is a denatured form of collagen and resulted in lower collagen I fluorescence intensity (figure 3(B)). Interestingly, despite the identical ECM preparation protocols and amount of protein being microspotted, the composition of the organ-derived ECM varied dramatically, illustrating the complex and different ECM compositional profiles among the three organs. There was no significant difference detected for Collagen I and Collagen IV ECM protein levels among the three organs (P > 0.05, n = 3; figures 3(B) and (C)), consistent with the previous assessment by Sircol collagen assay (figure 1(D)). However, laminin level was detected at much higher level in H-ECM (363.2 ± 15.8) than P- and L-ECM (84.9 ± 7.9; 153.5 ± 22.1 respectively, P < 0.05, n = 3; figure 3(D)). In addition, fibronectin level was also detected to be significantly higher in L-ECM (16.9 ± 3.4) than P- and H-ECM (2.9 ± 1.2, 4.2 ± 1.2 respectively; P < 0.01, n = 3; figure 3(E)). These data indicate that the ECM array combined with immunostaining and LI-COR analysis allows sensitive quantitative evaluation of different organ-derived ECM.
3.4. Organ-derived ECM array to probe cell–ECM adhesion
Cell adhesion to the ECM is essential for a coordinated morphogenesis and growth of functional tissue [59, 60]. In order to measure the adhesive properties of the organ derived ECM, we used pancreatic progenitor (PP) cells derived from hPSC as described in our previous published studies [50, 51], and seeded them onto the organ-derived ECM array. As depicted in step 1 of schematic in figure 4(A), we first generated definitive endoderm from human embryonic stem cells (hESCs) using activin A (100 ng ml−1) and wnt3a (25 ng ml−1) for 4 d (day 0–4). We then induced pancreatic progenitor cell fate by sonic hedgehog inhibition (KAAD Cyclopamine, 0.2 µM) for 4 d (day 4–8) and retinoic acid from day 6–8. With this reported protocol, we were able to efficiently generate up to 60% of PP cells expressing the transcription factor pancreatic and duodenal homeobox1 (Pdx1), which is the master regulator giving rise to all pancreatic lineage cells [61]. The pre-differentiated PP cells were then seeded onto the arrays in serum-free media and allowed to adhere for 2 h at 37 °C (step 2 of schematic figure 4(A)). To ensure uniform seeding, the slides were agitated every 15 min. We first tested this approach with matrigel spotted arrays. The PP cells adhered preferentially to matrigel spotted regions and did not attach to the nitrocellulose coated regions lacking ECM proteins. The cell patterning was robust over the array surface (3 × 3 ECM microspots), yielding near confluent cellular microspots as shown in figure 4(B). To quantify cells bound to each spot, cell nuclei were stained with DraQ5 DNA stain, a DNA-binding dye that fluoresces in the infrared spectrum and the slides were scanned and quantified with LI-COR to detect the fluorescent intensity of DraQ5. As shown in figure 4(C), the cell density correlated strongly with the cell seeding density of the hPSC-PP cells, which confirms both the quantification technique and compatibility of the array with hPSC derived cell types. Live/dead images of the adhered cells demonstrated good viability 24 h after cell seeding, indicating cytocompability of the ECM array (figure 4(D)).
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Standard image High-resolution imageUsing the same methodology, we next seeded the hPSC-PP cells on organ-derived ECM (P-, L- and H-ECM) spotted arrays and evaluated their adhesion (figure 4(E)). Live/dead images after 24 h showed most adhered cells were viable but there were considerable differences in cell adhesion between the three organ ECMs (figure 4(F)). This was further confirmed by quantification using LI-COR analysis of DRAQ5 DNA stain. Adhesion of the hPSC-PP cells to L-ECM was the highest among the three organ-derived ECMs, while H-ECM exhibited the lowest hPSC-PP cell adhesion (P < 0.01). Interestingly, in spite of having pancreatic tissue origin, P-ECM exhibited significantly lower adhesion of hPSC-PP cells as compared to L-ECM (P < 0.05; figure 4(G)). These results clearly suggest that adhesion of hPSC-PP cells was responsive to the composition differences between different organ-derived ECMs.
3.5. Fabrication and characterization of 3D organ-derived ECM array
While the ECM array is a useful tool to interrogate cell-ECM interaction under adherent culture, the increasing appreciation of the importance of three-dimensional (3D) spatial organization of cells has prompted the development of 3D cellular arrays [17, 18, 20, 21, 62] which better mimics the complexity of the native microenvironment. In addition, many ECM proteins do not have an adhesive role but are still critical for stem cell growth, survival, differentiation and morphogenesis [7, 56, 63]. Hence, it is important to develop a 3D system to globally present the ECM proteins while supporting 3D culture of hPSCs. Alginate is a suitable hydrogel matrix which adequately supports hPSC growth and differentiation while being inert to cell adhesion [49, 64]. Further, alginate hydrogels have been previously developed into a 3D cell on-a-chip array for mouse embryonic stem cell [17] and human neural stem cell [18] differentiation. Here, we modified this technique to incorporate our organ-derived ECM into alginate, while encapsulating pre-differentiated hPSC cells. Instead of using poly (styrene-co-maleic anhydride) (PS-MA)-treated surface, we used nitrocellulose coated surface, which has been shown to have a higher protein binding capacity than PSMA-treated surface (80–100 µg cm−2[ ] versus 68.2 µg cm−2[ 65, 66]). After pretreating the glass slides with nitrocellulose, mixture of poly-L-lysine (PLL) and BaCl2 were microspotted onto predetermined positions using the same repeater pipette microspotting technique as described above. Alginate was pre-mixed with specific organ-derived ECM. hPSC-PP cells were harvested and suspended within the alginate-ECM matrix material before micro-spotting onto the predetermined positions on nitrocellulose-coated glass slides. 3D cell-laden gel were formed by the deposition of the pre-mixed alginate and ECM solution containing hPSC-PP cells on top of the PLL/BaCl2 bottom layer as shown in schematic figure 5(A). Under these conditions, the positively charged PLL serves as a substrate to bind Ba2+ ions and assist the attachment of the negatively charged alginate. The divalent Ba2+ ions bind preferentially to the G-blocks in the alginate and cause instantaneous gelation of the alginate chains to give rise to 3D cell-laden microspots (1 µl) with a height and diameter of 250 µm and 1600 µm respectively (figure 6(B)).
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Standard image High-resolution imageWith the platform now being 3D, we wanted to test the sensitivity of LI-COR imaging platform in detecting the protein expression throughout the thickness of the 3D gel microspots with the same on-chip, immunofluorescence staining method. Previous studies have shown that LI-COR was able to detect near infrared and infrared fluorescence signals of up to 2 mm thickness [67, 68], which is within the thickness range of our 3D gel microspots (250 µm). In addition, we wanted to ensure that the ECM proteins were stably incorporated into the 3D gel microspots throughout the culture period (up to 10 d). To validate this, we microspotted premixed matrigel and alginate (cell free) at various concentration (0 µg ml−1–200 µg ml−1) onto the PLL/BaCl2 pre-spotted array and maintained it in maturation media for 10 d at 37 °C culture incubator. The range of matrigel concentration on the 3D gel array were stained with PNA lectin and quantified by LI-COR Odyssey imager at day 0 and day 10 (figure 5(B)). We observed good linearity among the range of matrigel evaluated (Day 0, R2 = 0.94; Day 10, R2 = 0.98; figure 5(C)), indicating sensitivity of the immunostaining and LI-COR imaging under 3D configuration. Furthermore, majority of the matrigel was retained within the alginate throughout the 10 d culture period with less than 20% loss of ECM protein at higher matrigel concentration (i.e. 100 µg ml−1 and 200 µg ml−1; figure 5(D)). Specific ECM antibody staining also detected similar protein levels (data not shown) compared to the quantitative evaluation by 2D ECM array as described above (figure 3), indicating retained ECM after inclusion into alginate gel array, as would be expected.
3.6. Differentiation of hPSC-PP is sensitive to organ-specific ECM, as detected in the 3D array
Next, we used this miniaturized 3D alginate-ECM array to investigate the differentiation of encapsulated hPSC-PP cells. The pre-differentiated hPSC-PP were harvested with enzymatic digestion to yield single cell suspension (cell density of 2.5 × 106 cells ml−1) and mixed with specific organ ECM-alginate solutions. Arrays of 25 alginate microspots (figure 6(A)) (n = 5 for each ECM condition) were prepared and cultured in maturation media with notch inhibition, a known inducer of beta cell phenotype [49, 51, 69] for 9 d. During this period, the cells remained confined within the microspots, with no spot breakage (figure 6(C)) and no visible gel detachment from the slide, indicating the microspots were structurally stable. Confocal microscopy images also indicated that the encapsulated cells were evenly distributed inside the alginate-ECM microspots (figure 6(B)). However, live/dead staining showed significant cell death (up to 80%) in the 3D cell-laden alginate-ECM microspots (figures 6(D) and (E)). This is most likely due to cell-cell contact inhibition while harvesting the hPSCs, which is known to activate the apoptotic pathway in hPSCs [70]. While we added Rho-associated protein kinase (ROCK) inhibitor (i.e. Y-27632), which has been illustrated to boost cell survival in this process [70, 71], we still observed significant cell death.
In order to retain high viability of hPSC-PP cells in our 3D ECM array platform, we chose to encapsulate cell clusters instead of single cell hPSC-PPs. We hypothesize that the preserved cell-cell contact in the clusters will not activate apoptotic pathway and hence will retain high viability. In our previous study we have reported the excellent viability and pancreatic differentiation of hPSC-PP aggregates in alginate capsules [49]. hPSCs were encapsulated as single cells within the alginate capsules, where they formed small aggregates upon propagation and subsequently differentiated into pancreatic progenitor cells upon induction. These hPSC-PP aggregates can be easily harvested by mild treatment of EDTA to dissolve away the alginate capsules. Schematic in figure 6(F) illustrates the differentiation protocol to generate 3D hPSC-PP aggregates and encapsulate into the 3D ECM gel array (figure 6(G)). To ensure relatively homogenous-sized aggregates were encapsulated, we passed the hPSC-PP aggregates through a cell strainer (100 µm mesh size) to avoid inclusion of cell clusters larger than the microspot gel size. This will avoid cellular overgrowth and protrusion out of the alginate microspots as shown in our supplemental figure 3. After culturing for 9 d in different organ ECM gel array, live/dead staining of encapsulated hPSC-PP aggregates showed excellent viability (>90%, figures 6(H) and (I)) much higher than what was experienced with the encapsulated single cell hPSC-PPs. In comparing across different organ-derived ECM, no significant difference was observed in the viability of PP aggregates (P > 0.05, figure 6(I)).
Having achieved high viability, we next investigated the differentiation outcome of hPSC-PP aggregates exposed to different organ-derived ECM in the 3D alginate microspots. We cultured the encapsulated hPSC-PP aggregates in different organ-derived ECM alginate microspots (n = 5 for each organ) for 9 d in the presence of notch inhibition (DAPT). Parallel cultures on alginate with and without matrigel were used as controls. Immunostaining and LI-COR imaging was performed to assess pancreatic maturation using pancreatic and islet-specific transcription factors such as Pdx1, Nkx6.1, and insulin protein marker, C-peptide. The result showed that higher PDX1 expression was detected in all the alginate-ECM microspots compared to alginate only controls (figures 6(J) and (K)). NKX6.1 did not show any differences between P-ECM, H-ECM, matrigel and the alginate only control. However, L-ECM elicited a substantial increase of all PP markers, including insulin (C-peptide) protein expression (figure 6(K)). Interestingly, P-ECM only showed a modest increase in C-peptide level but did not show significant increase of PP markers or C-peptide when compared to H-ECM or controls (P > 0.05, figure 6(K)). Confocal sectioning also corroborated this finding and detected higher expression of C-peptide staining in L-ECM alginate microspots (figure 6(l)). To ensure that this observation was attributed to the ECM-specific differences and not any physical parameters of the gel, like stiffness, we performed AFM stiffness measurement of the alginate microspots after incorporation of ECM proteins. Our result revealed no stiffness differences between the alginate microspots alone and alginate microspots incorporated with ECM proteins (supplemental figure 4). Collectively, these data suggest that the hPSC-PP aggregates were responsive to organ-derived ECM differences and further matured into insulin-expressing cells, with highest differentiation phenotype observed in L-ECM matrix. Furthermore, such stem cell differentiation phenomena can be studied in a miniaturized 3D alginate-ECM array.
4. Discussion
Extracellular matrix (ECM) components are important physiological regulators of stem cell function and fate [6, 10, 56]. In order to facilitate the high throughput analysis of cell-ECM interaction to dictate stem cell fate and function, several groups have developed combinatorial ECM array platform using single purified proteins in 2D adherent [10, 14] and 3D hydrogel [19–21] configurations. However, recapitulating the native ECM microenvironment niche with single purified proteins has proved to be inadequate [14, 23], hence more complex ECM has also been investigated using cell-derived matrix in vitro[ 26, 72] or decellularized tissue or organ [28, 29]. Herein, we have developed an ECM array using native-mimicry ECM from decellularized organs (namely pancreas, liver and heart). The system is compatible with quantitative imaging, and permits rapid evaluation of the matrix protein profiles of different organ-derived ECM, along with the sensitive measurement of the cell-ECM interaction both in 2D adherent cultures as well as 3D non-adherent culture. In this report, we evaluated the effect of ECM specifically on pancreatic differentiation of hPSCs, but the developed platform is versatile to be applied to characterize any lineage specific differentiation.
To generate organ-specific ECM components, we employed a protocol combining decellularization, lyophilization, pulverization, and protein extraction to create organ ECM-derived solutions from pancreas, liver and heart. It is important to note that chaotropic agent extraction process does not completely solubilize the ECM. The residual ECM pellet is likely to contain mostly collagen as reported by Lin et al[ 54]. When compared to the ECM extracted by urea (a chaotropic agent), they found that the SDS-PAGE profile of the collagenous ECM pellet was similar to that of purified collagen, and it did not exhibit high potency to support mesenchymal stem cell (MSC) function. In contrast, ECM extracted by urea contained multiple bioactive ECM components that accelerated MSC proliferation, attachment, spreading, migration and multi-lineage differentiation. Hence it was likely to contain majority of the bioactive ECM component. In addition, the same extraction technique using urea was also proven effective in the extraction of Matrigel from Engelbreth-Holm-Swerm (EHS) tumors. Matrigel contains multiple ECM components such as laminin, collagen IV and entactins, and is commonly used as a bioactive culture substrate to promote cell differentiation and function [73]. Hence we hypothesized that by using chaotropic agent extraction method, we will be able to extract the bioactive portion of organ-specific ECMs. Consistent with Lin et al's finding [54], our result from immunostaining, SDS-PAGE and biochemical characterization of the organ-derived ECM extracts revealed retention of multi-components ECM, distinctly different than purified rat tail collagen I (figures 1(f) and 3(A)–(E)). Even though we are preserving multi-component ECM, it is likely that we are not capturing the full spectrum of ECM proteins from native organs, and losing some fraction from the harsh treatments of decellularization and ECM extraction. Nevertheless, we have previously demonstrated the effectiveness of this ECM processing approach, and the resulting ECM have been shown to recapitulate essential components of native ECM from different tissues including retina [53, 74], embryoid bodies [72] and pancreas [29].
Quantitative comparison of cell-ECM interaction requires reproducible substrate preparation and a sensitive detection method. Using a nitrocellulose-coated surface in combination with repeater pipette microspotting, we were able to generate arrays of microspots with a highly reproducible protein content. There are several advantages of using nitrocellulose-coated surface for patterning ECM proteins. First, nitrocellulose coating is clear and permits excellent optical observation of the cells. Secondly, it is inert and non- toxic to cells [75]. When blocked only with BSA, nitrocellulose is a very poor substrate for cell attachment [46]. Lastly, nitrocellulose coating is well suited to bind a broad range of different ECM proteins via a combination of intermolecular forces, dominated by hydrophobic and van der Waals interactions [76], without compromising the protein structure of the immobilized ECM extracts. The protein binding capacity of the nitrocellulose coating is instantaneous, nearly irreversible, and quantitative to 80–100 µg cm−2[ ], much higher than poly(styrene-co-maleic anhydride) (PS-MA) coating (another common surface coating for protein immobilization), which shows only 68.2 µg cm−2 of protein binding capacity [65, 66]. Several alternate substrate preparation have been developed for patterning protein microarrays [10, 20, 77], but the optimal substrate for patterning ECM proteins remains to be investigated. To develop an array platform for quantitative characterization, we utilized an on-chip, near IR-dye, immunofluorescence staining method with LI-COR Odyssey scanner. This method provides a robust high-throughput method for the quantitation of immunofluorescent staining and has advantages over microscopy-based screening approaches with regard to throughput and sensitivity. Acquisition and quantification of our generated arrays with 25 microspots can be accomplished in less than 10 min on the LI-COR odyssey scanner. This is in contrast to other reported studies involving hours-long acquisition time on a high-throughput microscope in the visible spectrum and similar scanned area [10, 17, 18, 78]. In addition, the high sensitivity of the LI-COR scanner and the near-IR dyes provided robust signals at lower antibody dilutions than were possible using a microscopy-based system and dyes in the visible spectrum. With the increased sensitivity, however, there is an enhanced probability of artifact from unspecific antibody background staining. Hence, appropriate controls need to be included in the experimental plan to adequately remove the effect of background from acquired data.
The fabricated ECM array was first applied to characterize the cell-ECM interaction for cell attachment, and its specificity to organ-derived ECM. Analysis of the decellularized extracts for individual ECM proteins revealed that pancreas, liver and heart each has differing levels of ECM proteins such as collagen I, collagen IV, laminin and fibronectin (figure 3). When seeded with hPSC-PP cells, we observed differential adhesion profile responding to different organ-specific ECM with the L-ECM resulting in highest PP cells adhesion. Pancreatic progenitor (PP) cells display αvβ3 and αvβ5 integrins to mediate adhesion and migration both in vitro and in vivo model of pancreatic islet development [79]. These integrins are among the receptors that have been shown poised to receive signals from ECM components including fibronectin, collagen IV and vitronectin [80, 81]. Hence it can be postulated that the favorable adhesion of hPSC-PP cells to L-ECM can be attributed to the significantly higher fibronectin content found in L-ECM over P- and H-ECM.
While the 2D ECM array was efficient in analyzing the composition and adhesive properties of the ECM, it restricts us to analyze cell-ECM interactions for adherent cells only. However, ECM proteins are known to contribute beyond just adhesive function to dictate cell fate commitment [7, 56]. Hence to explore the cell-ECM interactions under non-adhesive cultures, we devised an encapsulation system in an inert hydrogel, which allows cell growth without adhering to the hydrogel. In our earlier work we have reported culture and differentiation of hESCs into islet-like cells in alginate capsules [49]. In addition to providing means for adhesion-free culture, it also provides a 3D environment to the cells, which is gaining increasing appreciation as a vital component of cell microenvironment, more so for human pluripotent stem cells [82]. While our previous report was in free suspension culture of encapsulated hPSCs, Fernandes et al[ 17] have reported an alginate-based matrix array immobilized on glass slide to facilitate toxicity and drug screening applications [18]. With this immobilization technique, it is now possible to distribute nanoliter volumes of different samples in a spatially addressable footprint for high throughput applications. They applied this platform for screening of human neural stem cells toxicity [18] and mouse embryonic stem cells differentiation [17]. In this study, we adopted the alginate immobilization platform and modified it to introduce the organ-derived ECM to the encapsulated hPSCs. The incorporation of ECM was stable with near-complete retention of the ECM throughout the culture period (figure 5(d)). The negligible ECM loss from the array spots further rules out the concern of possible influence from adjacent array spots. Inclusion of ECM also did not modify the alginate stiffness thus confirming the observed effect is not from likely physical hydrogel parameters (supplemental figure 4).
Our alginate-ECM array is a versatile platform. It allows the feasibility of simultaneous multi-parametric modulation. In our study we modified the ECM composition of the array spot while keeping the physical gel parameters unchanged. It is possible to simultaneously change gel physical parameters, for example the array stiffness, by micro-spotting different divalent cation (e.g. Ca2+ or Sr2+) or different concentration of BaCl2 cationic solutions onto the nitrocellulose surface, which will give rise to different stiffness upon alginate gelation. In our study, we microspotted only one concentration of BaCl2 solution (10 mM), which led to identical low stiffness (1kPA) across the different ECM conditions tested. This low stiffness was chosen mainly to be within the 'soft' tissue range of native pancreatic tissue, which has been identified to be another critical parameter to modulate cell fate [44, 83]. In addition, the platform is also versatile enough to allow various encapsulation configurations, such as single cells or cell aggregates. Encapsulation of single cells and its propagation into colonies under encapsulation is the most common practice for most of the cell lines. A parallel study from our lab shows that hESC differentiation is sensitive multiple simultaneous parameters, such as the stiffness of encapsulating alginate and encapsulation configuration [84, 85]. Hence we demonstrated the feasibility of microspotting single cells of MIN6 beta cells and maintaining viable culture in the 3D alginate gel array for 10 d (supplemental figure 5). However such single cell encapsulation tends to be restrictive for hPSCs because hPSCs are prone to cell death after being made single cell. While there was significant survival of the single-cell encapsulated hPSC-PP in our array platform, the dissociation process still led to significant cell death, as expected. These dead cells remained entrapped in the alginate matrix which is an undesirable culture condition. While we observed good viability of hPSC-PP cells in the 2D cell-ECM adhesion assay, likely only viable cells were capable of integrin-ECM mediated adhesion. Loosely attached dead cells were expected to be washed away during the staining process. In contrast, the 3D cell-laden ECM array involved the encapsulation of all dissociated cells, which likely include the entrapment of significant dead cells. Hence we developed a methodology to generate hPSC-PP aggregates and encapsulate these aggregates without dissociation. The preserved cell-cell contact in the aggregates protect the cells from apoptosis, and furthermore, it results in stronger differentiated phenotype, as demonstrated by our previous study [49] and reports from other groups [86–89].
Recent studies have shown the manifestation of enhanced stem cell functions and intricate tissue formation when organ-specific ECM scaffolds were employed [25, 90]. The ECM scaffolds were shown to have the capacity to direct tissue-specific stem cell lineage commitment and maintain the phenotype of mature cell populations. However, the organ specific effect observed from these studies cannot be solely attributed to the ECM composition difference as these studies employed decellularized whole-organ scaffolds that are complex and vastly different beyond biochemical ECM properties (e.g. difference in growth factors, biophysical properties such as stiffness and topology etc.). In our studies, we implemented a more level comparison between different organs by extracting only the bioactive ECM components devoid of any confounding biophysical factors. Despite the identical extraction protocol, organ-specific differences were detected in all three organs in terms of their ECM compositional profiles. These differences in turn led to different maturation outcome in the hPSC-PP cells, when complemented with chemical induction. Surprisingly, P-ECM, in spite of its pancreas origin, was not the most suitable in promoting the differentiation of hPSC-PP cells into insulin-expressing cells. In contrast, the liver derived ECM had the best performance in insulin-expression among the organs compared in this study. It is noteworthy that majority of the pancreas is composed of exocrine tissue with only 2% made up of islet cells. While the differences in the ECM composition between endocrine and exocrine pancreas is not obvious, majority of pancreas ECM could be of exocrine-origin and non-specific to the pancreatic endocrine cell population, which is of interest in this study. On the other hand, liver is developmentally close to pancreas (i.e. both from endoderm germ layer) with previous successful reports of hepatocytes trans-differentiation into insulin-producing cells [91]. Liver has also been successfully used as a favorable transplant site to support islet insulin function during islet transplantation. In addition, liver has a very high density of vasculature and there is a substantial amount of interaction between islets and the ECM associated with vasculature. It has also been proposed that the vasculature basement membrane could be a favorable niche for promoting insulin gene expression and β cell proliferation [92]. In alignment with this, Citro et al[ 93] utilized decellularized lung scaffold to fabricate a functional islet organ, where the endothelialized acellular lung matrix provided adequate vascular support for islet engraftment. It should also be noted that there is likely a beneficial effect that can be attributed to the variety of matrix-bound growth factors and cytokines retained in the ECM extracts, which have been demonstrated effective for inducing differentiation and maintaining cellular phenotypes [3, 24, 90]. Future investigation is warranted to confirm the role of liver-ECM to identify the specific components or combinations of liver ECM that is conducive to pancreatic maturation.
5. Conclusion
In conclusion, we developed an array platform that allows culture of cells under both adherent 2D configuration and non-adherent 3D aggregate configuration. Our array system enables rapid and sensitive measurement of the differential effect of organ-specific ECM on hPSC differentiation. Our results strongly suggest that hPSC-cell maturation was responsive to different organ-derived ECM and L-ECM is more supportive of pancreatic differentiation of hPSCs than P- or H-ECM. The versatility of the platform could be easily adapted for other lineage-specific differentiation of hPSC to allow organ-specific interrogation of stem cell niches for tissue engineering applications.
Acknowledgements
This research was supported by NSF CBET 1547618, CBET 1706674, CBET 1803781 and NIH UG3DK 119973.