Sprouting angiogenesis, fundamental for development and disease, involves complex molecular and mechanical processes. We present a versatile 2.5D ex vivo model that analyzes cellular sprouting from porcine carotid arteries, revealing stiffness-dependent angiogenesis and distinct leader-follower cell mechanics. This model aids in advancing tissue engineering strategies and cancer therapy approaches.
Sprouting angiogenesis is the formation of new blood vessels from pre-existing vasculature and is of great importance for physiological such as tissue growth and repair and pathological processes, including cancer and metastasis. The multistep process of sprouting angiogenesis is a molecularly and mechanically driven process. It consists of induction of cellular sprout by vascular endothelial growth factor, leader/follower cell selection through Notch signaling, directed migration of endothelial cells, and vessel fusion and stabilization. A variety of sprouting angiogenesis models have been developed over the years to better understand the underlying mechanisms of cellular sprouting. Despite advancements in understanding the molecular drivers of sprouting angiogenesis, the role of mechanical cues and the mechanical driver of sprouting angiogenesis remains underexplored due to limitations in existing models. In this study, we designed a 2.5D ex vivo model that enables us to mechanically characterize cellular sprouting from a porcine carotid artery using traction force microscopy. The model identifies distinct force patterns within the sprout, where leader cells exert pulling forces and follower cells exert pushing forces on the matrix. The model's versatility allows for the manipulation of both chemical and mechanical cues, such as matrix stiffness, enhancing its relevance to various microenvironments. Here, we demonstrate that the onset of sprouting angiogenesis is stiffness-dependent. The presented 2.5D model for quantifying cellular traction forces in sprouting angiogenesis offers a simplified yet physiologically relevant method, enhancing our understanding of cellular responses to mechanical cues, which could advance tissue engineering and therapeutic strategies against tumor angiogenesis.
Angiogenesis is the process of new blood vessel formation from pre-existing blood vessels. This process is essential during embryonic development, wound healing, and cancer progression, all of which are associated with biomechanical changes in the microenvironment1,2,3,4. At the onset of angiogenesis, hypoxic or injured tissues release vascular endothelial growth factor (VEGF) that will activate the endothelial cells of neighboring blood vessels to form endothelial sprouts - where two distinct leader and follower phenotypes are adopted through the molecular Notch signaling pathway5. Upon the formation of endothelial sprouts, a phenomenon known as sprouting angiogenesis, leader cells will degrade the surrounding extracellular matrix to collectively migrate towards the VEGF stimulus without losing cell-cell adhesions with the trailing follower cells6,7.
Over the past decades, there have been increasing numbers of sprouting angiogenesis assays described that investigate collective cell migration through various methodologies, each offering distinct benefits and limitations. These assays assess the coordinated movement of cell groups, such as endothelial cells, through 3D matrices, allowing for the study of cellular behaviors like sprouting, invasion, and collective migration in a controlled environment8,9,10. In vivo sprouting angiogenesis assays provide a comprehensive evaluation within a living organism, capturing intricate interactions, but are time-consuming, costly, prone to high variability, and difficult to quantify11,12. In vitro sprouting angiogenesis assays allow precise control over experimental conditions with high reproducibility and precise quantification but may not fully replicate in vivo complexities11,12,13. In contrast, ex vivo sprouting angiogenesis assays, of which the aortic ring assay is the most widely-performed model, use tissues outside the organism, preserving physiological relevance while avoiding in vivo complications14,15,16. Despite being technically challenging and sometimes struggling with tissue viability, ex vivo models offer a valuable balance between complexity and control, making them a promising approach for studying sprouting angiogenesis. While these models have been used extensively to study the molecular drivers of sprouting angiogenesis, the effect of mechanical cues and the mechanical behavior of cells remain poorly understood.
Multicellular migration during sprouting angiogenesis is highly dependent on cellular mechanics, as actomyosin-based contractile forces regulate endothelial cell invasion into the surrounding extracellular matrix17,18,19,20. Specifically, non-muscle myosin II motors, the major actin-based contractile machines within the cell21, have been observed to control cellular contractile forces during sprouting angiogenesis22,23. The leader cell is likely the predominant force-generating element of the sprout since deformations of the surrounding 3D extracellular matrix are significantly higher around the leader cell, specifically nearby actin-rich cellular protrusions23,24, compared to its followers22,23,25. Despite this growing evidence of the importance of cellular contractility in sprouting angiogenesis in 3D, a method for spatiotemporal mechanical characterization of cellular mechanics of sprouting angiogenesis is lacking.
The overall goal of this study is to develop a method that allows for the mechanical characterization of cellular migration during sprouting. By achieving spatiotemporal characterization of mechanical forces in a biologically relevant context, we aim to provide new insights into how cellular mechanics influence angiogenic sprout formation. To this end, we developed a 2.5D model system by creating a 2D polyacrylamide (PAA) hydrogel, seeding a carotid arterial sheet on it, and covering it with a thin layer of collagen type I gel to establish a localized 3D environment for the cells. Multicellular sprouts migrated out of the arterial sheet on the PAA-collagen gel interface. The advantage of this method compared to existing techniques is that the 2D PAA hydrogel allows analyses by traction force microscopy (TFM) - a well-known versatile technique where cells adhere to an elastic 2D substrate and will deform the substrate upon cellular traction forces26. These deformations can be captured, and cellular traction forces can be computed based on the mechanical properties of the substrate26. By adapting TFM for use in ex vivo living tissues, we aim to bridge the gap between in vitro control and in vivo relevance, providing a more comprehensive understanding of mechanical forces during angiogenesis.
Porcine carotid arteries were used in this protocol. Porcine carotid arteries were harvested from Dutch Landrace hybrid pigs - aged 5-7 months and weight (alive) 80-120 kg - obtained from a local slaughterhouse. The protocols were compliant with the EC regulations 1069/2009 regarding slaughterhouse animal material for diagnosis and research as supervised by the Dutch Government (Dutch Ministry of Agriculture, Nature, and Food Quality) and were approved by the associated legal authorities of animal welfare (Food and Consumer Product Safety Authority). Ethical approval was not required since tissue was harvested from byproducts of already terminated animals. The time between death and tissue transport is 10-25 min, depending on the slaughterhouse.
NOTE: The Table of Materials summarizes details about the materials, equipment, and reagents used in this protocol. Protocols for 2D and 3D samples are described in the Supplementary File 1.
1. Preparation of 2D polyacrylamide (PAA) substrates
2. Preparation of modified Krebs solution for transport
NOTE: Prepare the modified Krebs solution fresh. In this protocol, the modified Krebs solution is prepared 1 day before tissue harvesting.
3. Tissue harvesting
4. Tissue dissection
5. Tissue seeding
NOTE: Tissue attachment was tested by adding no coverslip, a sterile untreated coverslip, or a sterile pluronic-treated coverslip (1% w/v pluronic in PBS, coverslips incubated overnight and washed in sterile ultrapure water before use) of different sizes on top of the arterial sheet after seeding on the PAA hydrogel.
6. Creation of the 2.5D model
7. Live cell imaging
NOTE: Live cell imaging was performed using a Leica DMi8 or Nikon Ti2 Eclipse epi-fluorescence microscope equipped with thermal, CO2, and humidity control and controlled using Leica or NIS software. Adaptive focus control (Leica) and perfect focus system (Nikon) were used to maintain focus in time.
8. Traction force microscopy analysis
By means of the described protocol, we can induce ex vivo sprouting angiogenesis from a porcine carotid artery on top of a 2D PAA hydrogel covered with a thin layer of collagen type I gel, thus creating a 2.5D ex vivo sprouting angiogenesis model. This model allows us to perform conventional TFM and measure the cellular traction forces of sprouting angiogenesis on the PAA gel interface in space and time.
To establish the 2.5D model, we first prepared a 2D polyacrylamide (PAA) hydrogel embedded with fluorescent markers, followed by overnight coating with type IV collagen (d-1 to d0). On day 0 (d0), a carotid arterial sheet was placed on the collagen IV-coated hydrogel and allowed to attach overnight (d0 to d1). Subsequently, a thin layer of collagen type I gel was applied over the arterial sheet, after which imaging was initiated on day 1 (d1) to monitor cellular sprouting and track fluorescent markers for mechanical analysis (d1 to d2). To verify sprouting angiogenesis in the 2.5D model, we performed the conventional ex vivo sprouting angiogenesis in a 3D collagen type I gel in parallel. For this, a thin layer of collagen type I gel was prepared, followed by the seeding of the carotid arterial sheet, and subsequently covered with an additional collagen layer (d0). Angiogenic sprouting was monitored over time. Additionally, we endeavored to induce sprouting angiogenesis in 2D to further decrease model complexity. The experimental procedure mirrored that of the 2.5D model, with the key difference being the exclusion of the top collagen type I gel layer. An overview of the three models, including their experimental procedures, is described in Figure 1. Carotid arteries were harvested from pigs from the local slaughterhouse and transported in sterile fresh Krebs solution. Within the biosafety cabinet, excessive tissue surrounding the carotid artery was removed to ensure no visual impairment of sprouting angiogenesis during live timelapse imaging (Figure 2A-E). Once the artery was clean from excessive tissue, the artery was cut into artery rings of 2 mm width, and rings were cut into arterial sheets with a dimension of 2 x 2 mm (Figure 2F).
To ensure sprouting angiogenesis on top of the PAA hydrogel interface within the 2.5D and 2D model, we seeded the arterial sheets with the inner endothelial cell side facing the collagen type IV coated PAA hydrogel and left them to attach. To optimize the attachment of the arterial sheet to the PAA hydrogel, we tested the effect of the addition of an anti-fouling coated 12 mm glass coverslip on top of the arterial sheet. After 24 h, the coverslip was removed, and the attachment efficiency was measured by means of the percentage of arterial sheets attached to the PAA hydrogel. We observed that the addition of a glass coverslip - independent of the anti-fouling coating - increased the attachment efficiency of the arterial sheets on top of the PAA hydrogel compared to no coverslip (Figure 3A-D). Next, we tested the effect of the diameter (12 or 13 mm) of the glass coverslip on the attachment efficiency of the arterial sheet, while the inner well of the plate was 14 mm. We observed that a 13 mm coverslip increases the attachment efficiency of the arterial sheets on top of the PAA hydrogel compared to a 12 mm coverslip (Figure 3E-G) since shear forces during coverslip removal are minimized. We continued using an untreated 13 mm coverslip for arterial sheet attachment to the PAA hydrogel in both the 2.5D and 2D models.
After the arterial sheet had been attached to the PAA hydrogel, we added a thin layer of collagen type I gel on top of the arterial sheet to create a 2.5D environment. We cultured the samples for 5 days and examined the samples for sprouting angiogenesis. We observed the formation of cellular sprouts in the 3D model (Figure 4A), consistent with previously reported ex vivo sprouting angiogenesis in the literature28,29,30. Within the 2.5D model, we observed a similar organization of cellular sprouts in comparison to the 3D model (Figure 4B). Cellular sprouts were formed at multiple heights (Video 1), including at the PAA interface. Additionally, sprouting angiogenesis is characterized by high proliferation of leader and follower cells, a phenomenon that we observed during sprouting within the 2.5D model (Video 2). When culturing an arterial sheet in 2D, cells from different origins (Supplementary Figure 1) migrate as monolayers out of the tissue, thus lacking the organization of cellular sprouts (Figure 4C). Since we did not observe sprouting angiogenesis in the 2D model, we excluded this model from subsequent analyses. Altogether, the arterial sheet needs a local 3D environment to induce sprouting angiogenesis, showing the potential of the 2.5D ex vivo model of sprouting angiogenesis.
Furthermore, the 2.5D model system is a versatile system that allows users to examine the effect of mechanical cues from the cellular microenvironment, e.g., matrix stiffness. Matrix stiffness of a 3D collagen type I hydrogel - the hydrogel that is commonly used for ex vivo sprouting angiogenesis - is dependent on the concentration of ECM protein, where an increase in protein concentration correlates with an increase in matrix stiffness32. The typical range of collagen type I concentration to make this 3D hydrogel induce sprouting angiogenesis is 1-4 mg/mL, corresponding to a matrix stiffness of 1 Pa to 1 kPa32,33,34. Lower concentrations may be too soft to provide structural support, while higher concentrations can inhibit cell movement. The physiological stiffness of endothelial tissue is 1 kPa35, which can be mimicked with a 3D collagen type I hydrogel. However, tumor formation and progression are associated with tissue stiffening4, thus emphasizing the need for a model that can achieve a higher matrix stiffness to study tumor angiogenesis. The substrate stiffness of PAA hydrogels - the stiffness sensed by the endothelial cells of the arterial sheet - can easily be tuned within the range of 1 to tens of kPa. Here, we examined the effect of PAA substrate stiffness on the onset of sprouting angiogenesis by means of the percentage of samples that initiated the formation of cellular sprouts on the day after the collagen type I layer was added. We observed that more arterial sheets showed early signs of cellular sprouts when cultured on a physiological soft (1 kPa) PAA hydrogel in comparison to a pathological stiff (12 kPa) PAA hydrogel (Figure 5), showing the potential of this model to study the effect of matrix stiffness on sprouting angiogenesis. In addition to tunable substrate stiffness, these substrates allow the systematic modulation of other mechanical cues (e.g., matrix composition and density) as well as chemical cues (e.g., inhibition of molecular regulators by conditioning of the culture medium), demonstrating the versatility of this 2.5D ex vivo sprouting angiogenesis model.
To quantify cellular mechanics in sprouting angiogenesis, we performed conventional Traction Force Microscopy (TFM) on cellular sprouts that formed on the 2D PAA interface. One day after the addition of the collagen type I layer, we performed live cell imaging of the cells (Figure 6A) and the fluorescent markers embedded in the PAA hydrogel. Displacements of the fluorescent markers were measured using Particle Image Velocimetry (Figure 6B), and cellular tractions were computed using the mechanical properties of the PAA hydrogel (Figure 6C). With this 2.5D ex vivo model, we observed initially pulling forces at the protrusions of the leader cell of a cellular sprout followed by pushing forces along the cellular sprout - both at the rear of the leader cell as well as the follower cells (Figure 6C).
Figure 1: Experimental models and procedures. (left) Experimental models tested. The 2.5D model represents an arterial sheet placed on top of a flat collagen type IV coated polyacrylamide (PAA) hydrogel and covered with a thin layer of collagen type I hydrogel. The 3D model represents an arterial sheet sandwiched between two layers of collagen type I gel, a system that is known to induce sprouting angiogenesis36. The 2D model represents an arterial sheet placed on top of a flat collagen type IV coated PAA hydrogel. (right) Experimental procedures for corresponding models. For both the 2D and 2.5D models, a PAA hydrogel was prepared the day before seeding (d-1), and collagen type IV coating was performed overnight. The carotid artery was harvested from pigs, dissected into arterial sheets, seeded on top of the hydrogel at day 0 (d0), and left to attach overnight (d1). For 2.5D samples, a thin layer of collagen type I gel was placed on top of the arterial sheet. Mechanical analysis was performed after the onset of sprouting at day 2 (d2). For 2D samples, the medium was refreshed on day 1 (d1). For the 3D model, a layer of collagen type I gel was prepared just before seeding on day 0 (d0). The arterial sheet was seeded on top of the collagen type I layer and covered with a second layer of collagen type I. Please click here to view a larger version of this figure.
Figure 2: Carotid artery dissection steps (d0). (A) Carotid arteries of approximately 10 cm in length were harvested from pigs from the local slaughterhouse. (B) Excessive tissue and approximately 2 cm of the edge (to avoid being too close to branching points, (B') were discarded. (C-E) The carotid artery was skinned (C), soaked in PBS (D) and all remaining tissue was skinned to ensure clear visibility during imaging (E). (F) The clean carotid artery is sliced into artery rings with an approximate width of 2 mm. Each ring is cut into 4 arterial sheets with a dimension of approximately 2 x 2 mm. Please click here to view a larger version of this figure.
Figure 3: Arterial sheet attachment efficiency increases using a 13 mm glass coverslip (d1). (A-D) Effect of a glass coverslip on the attachment of arterial sheet to the polyacrylamide (PAA) hydrogel. A comparison was made between no glass coverslip (A), an untreated glass coverslip (B), and an anti-fouling coated glass coverslip using Pluronic F127 (C). Attachment efficiency was measured by the number of arterial sheets that attached to the PAA hydrogel after removal of the coverslip compared to the total number of samples: no coverslip (4 out of 36), untreated coverslip (10 out of 36), and anti-fouling coated coverslip (9 out of 36; D). (E-G) Effect of the size of an untreated glass coverslip on attachment of arterial sheet to the PAA hydrogel. A comparison was made between an untreated 12 mm glass coverslip (E) and an untreated 13 mm glass coverslip (F) within a 14 mm well. Attachment efficiency was measured by the number of arterial sheets attached to the PAA hydrogel after removal of the coverslip compared to the total number of samples: 12 mm coverslip (10 out of 36) and 13 mm coverslip (52 out of 72; G). Please click here to view a larger version of this figure.
Figure 4: Dimensionality of the model defines organization during cellular outgrowth (d2+). Cells migrate out of the tissue in a sprout organization in the 3D model (left), similar to the 2.5D model (middle). Cells migrate out of the tissue in a monolayer organization in the 2D set-up (right). The scalebar represents 250 µm. Please click here to view a larger version of this figure.
Figure 5: Onset of endothelial sprouting in 2.5D model depends on polyacrylamide hydrogel substrate stiffness (d2). (A-B) Arterial sheet covered with a thin layer of collagen type I gel on top of a soft (A; 1 kPa) or stiff (B; 12 kPa) polyacrylamide (PAA) hydrogel at day 2 of the protocol (1 day after addition of layer collagen type I gel). (C) Sprouting onset was measured by the number of arterial sheets that already show signs of cellular outgrowth compared to the total number of samples: soft (7 out of 24), and stiff (3 out of 24). Scalebar represents 1 mm (A, B) or 500 µm (A', B'). Please click here to view a larger version of this figure.
Figure 6: Traction force characterization during early sprouting angiogenesis. Imaging cells in time (0-4 h) is displayed in the top row. Corresponding fluorescent markers displacements (0-2 µm) and cellular tractions (0-50 Pa) on a 1 kPa PAA hydrogel substrate are displayed in the middle and bottom row, respectively. Zoom-ins of cellular tractions at 0 h, 2 h, and 4 h are displayed in orange. Please click here to view a larger version of this figure.
Figure 7: 2.5D ex vivo sprouting angiogenesis model method that allows for mechanical characterization of cellular sprouts. Please click here to view a larger version of this figure.
1 kPa | 12 kPa | |
PBS | 435 µL | 373.7 µL |
40% acrylamide | 50 µL | 93.8 µL |
2% bis-acrylamide | 7.5 µL | 25 µL |
Fluorescent marker (dark red) | 5 µL | 5 µL |
10% APS | 2.5 µL | 2.5 µL |
TEMED | 0.25 µL | 0.25 µL |
Table 1: PAA gel mixture ratios.
formula | Volume per 12-well plate (130 µL) | |
ECG medium | VECG=Vfinal-Vcol1-VNaOH | 82.16 µL |
Collagen type I | Vcol1=(Vfinal*Cfinal)/Cstock | 46 µL |
NaOH | VNaOH=0.04*Vcol1 | 1.84 µL |
Table 2: Collagen type I gel mix volumes using abbreviations of volume (V) and concentration (C).
Video 1: Timelapse imaging of cellular sprout formation within the 2.5D model. Cells were imaged using Phase Contrast imaging over a time period of 22 hours with a time interval of 17.5 minutes. Cellular sprouts were formed on multiple heights within the collagen type I gel layer as observed by the different focal planes. The scalebar represents 100 µm. Please click here to download this video.
Video 2: High proliferation rate of cells within cellular sprouts within the 2.5D model. Cells were imaged using Phase Contrast imaging over a period of 22 h with a time interval of 17.5 minutes. Both leaders as well as follower cells proliferate during timelapse imaging. The scalebar represents 100 µm. Please click here to download this video.
Supplementary Figure 1: Cellular phenotype in 2D model (d2+) by immunofluorescence staining. (A) Immunofluorescence (IF) staining of cell nucleus (DAPI), endothelial cell marker (CD31), and fibroblast marker (alpha-smooth muscle actin; α-SMA). (B) IF staining of the cell nucleus (DAPI), endothelial cell marker (CD31), and smooth muscle cell marker (calponin). The scalebar represents 100 µm. Please click here to download this figure.
Supplementary File 1: Immunofluorescence staining protocol. Please click here to download this file.
Sprouting angiogenesis - the formation of new blood vessels - is a complex process regulated by both molecular and mechanical mechanisms. Whereas many 3D models have been developed over the past decades to study the molecular drivers (e.g., VEGF and Notch signaling) of sprouting angiogenesis, only little is known about cellular mechanics due to model limitations. Traction Force Microscopy (TFM) is a well-known technique for quantification of cellular forces in space and time, where 2D substrate deformations are converted into cellular tractions. Therefore, in this protocol, we describe a 2.5D ex vivo model, meaning that we locally provide the cells with a 3D environment while preserving the simplicity of a 2D model that allows for the quantification of traction forces during sprouting angiogenesis (Figure 1). To do so, we prepared and seeded a porcine arterial sheet (endothelial side down; Figure 2) on top of a collagen type IV coated polyacrylamide (PAA) hydrogel containing fluorescent markers. After the attachment of the arterial sheet using a 13 mm glass coverslip (Figure 3), we add a thin layer of collagen type I hydrogel that allows the formation of cellular sprouts (Figure 4). Using this model, we show that during cellular sprouting22,23,24,25, leader cells exert pulling forces (as was observed in literature19,20,21,22), but also that follower cells exert pushing forces (Figure 6). The resolution of the traction field obtained through our protocol allows for quantitative analyses of cellular kinematics and dynamics both in time and space that are typical of works resorting to traction force microscopy on compliant substrates37,38,39.
Moreover, we demonstrate the versatility of this 2.5D ex vivo model of sprouting angiogenesis by changing the mechanical cues of the microenvironment (Figure 5). While sprouting angiogenesis normally occurs at a physiological stiffness of 1 kPa35 - which can be mimicked by a 3D collagen type I hydrogel, tumor angiogenesis occurs in a stiffened microenvironment40 - which is beyond the stiffness range of conventional 3D collagen type I hydrogels. PAA substrate stiffness can easily be adjusted by changing the ratio of crosslinkers to generate a higher substrate stiffness. Using this model, we reveal that the onset of sprouting angiogenesis is stiffness-dependent. These substrates not only offer tunable stiffness but also enable systematic modulation of various other mechanical cues, e.g., matrix composition and density. In addition, this model allows us to study cellular mechanics while manipulating molecular regulators using conditioning of the medium (e.g., the effect of inhibition on Notch signaling on cellular mechanics) to understand the mechanobiological mechanisms of sprouting angiogenesis. This demonstrates the utility of this 2.5D ex vivo model of sprouting angiogenesis in a swatch of different microenvironments.
The model that we present makes use of conventional 2D TFM, which offers simpler analysis, higher spatial resolution, and easier implementation compared to 3D (viscoelastic) TFM, making it more accessible and cost-effective26,41. However, 3D (viscoelastic) TFM provides a more physiologically relevant environment by capturing traction forces in all three dimensions and accounting for the complex mechanical properties of the extracellular matrix, offering deeper insights into cell behavior in a more realistic context42,43,44,45. This effect of dimensionality also points towards a limitation of this 2.5D model. We use 2D TFM on the assumption that cells are migrating on a 2D substrate. While this is the case in this 2.5D model, cells are in a local 3D environment and thus adhere to the collagen type I gel layer and exert forces in this gel layer. The assumption that we adopted within this analysis is that the collagen type I gel layer is not mechanically coupled (no force transmission between these two hydrogels) to the PAA interface due to the order of magnitude difference in matrix stiffness, therefore, minimizing the effect of cellular forces on the collagen type I layer. This makes the force characterization using the 2.5D ex vivo model a simplified representation of the forces generated by the cells. In addition, this protocol requires precision and is extensive with several steps where samples can be lost, e.g. (i) cell visibility difficulties due to excessive tissue surrounding the arterial sheet (Figure 2), (ii) one out of three samples does not attach to the PAA substrate (Figure 3), (iii) not all samples will initiate the formation of cellular sprouts (Figure 5), (iv) cellular sprouts do not form at the PAA substrate, and (v) out-of-focus fluorescent markers when using thick arterial sheet on top of a low stiffness PAA hydrogel. Therefore, we optimized this method for a 12-well plate to ensure plenty of regions of interest to perform mechanical analysis of sprouting angiogenesis.
In conclusion, the presented approach for the simplified characterization of cellular traction forces of sprouting angiogenesis of a living porcine arterial sheet using a 2.5D model (Figure 7) can aid in creating more accurate and real-time insights into the mechanical interactions during angiogenesis within a native tissue context, facilitating the study of dynamic cellular processes with reduced complexity and improved reproducibility compared to fully 3D systems. This could enhance our understanding of how cells respond to mechanical cues in a more physiologically relevant environment while maintaining the analytical simplicity of 2D methods. This knowledge could advance the field of tissue engineering with the aim of creating blood vessels but also finding therapeutic drugs for the prevention of tumor angiogenesis with the aim to limit tumor growth and reduce metastasis.
The authors have no conflicts of interest to disclose.
We thank the people from LifeTec for harvesting and transporting the porcine carotid arteries from the local slaughterhouse; Leon Hermans, Pim van den Bersselaar, and Adrià Villacrosa Ribas (TU/e, ICMS) for the fruitful discussions on experimental procedures and mechanical characterization analysis. We gratefully acknowledge support by grants from the European Research Council (771168), the Netherlands Organization for Scientific Research (024.003.013), the Academy of Finland (307133, 316882, 330411 and 337531), and the Åbo Akademi University Foundation's Centers of Excellence in Cellular Mechanostasis (CellMech).
Name | Company | Catalog Number | Comments | |
2% bis-acrylamide | Bio-Rad | 1610143 | ||
2-mercaptoethanol | Merck Life Science | 60-24-2 | ||
3-(Trimethoxysilyl)propyl methacrylate | Bind-Silane | Sigma-Aldrich | 440159-100ML | |
40% acrylamide | Bio-Rad | 1610140 | ||
Aboslute ethanol (for analysis) | VWR International | 1.00983.1000 | ||
Absolute ethanol (industrial) | VWR International | 83813.41 | ||
Acetic acid, glacial 100% | Merck | 1000562500 | ||
Ammonium persulfate | APS | Bio-Rad | 7727-54-0 | 10% APS dissolved in Milli-Q water, aliquoted and stored at -20 °C |
antibody (primary) - calponin | abcam | ab46794 | dilution 1:200 | |
antibody (primary) - CD31 | Serotec | MCA1746 | dilution 1:10 | |
antibody (primary) - α-smooth muscle actin | αSMA | Dako | M0851 | dilution 1:100 |
antibody (secondary) - goat-anti-mouse-IgG1 Alexa 488 | Molecular Probes | A21121 | dilution 1:200 | |
antibody (secondary) - goat-anti-mouse-IgG2a Alexa 555 | Molecular Probes | A21137 | dilution 1:200 | |
antibody (secondary) - goat-anti-rabbit-IgG Alexa 555 | Molecular Probes | A21428 | dilution 1:200 | |
Autoclave | Astell | |||
Calcium chloride dihydrate | CaCl2 | Calbiochem | 208291-250GM | |
Collagen type I, rat-tail | Corning | 354236 | ||
Collagen type IV, human placenta | Merck Life Science | C5533-5MG | dissolved in PBS at a concentration of 1mg/mL, aliqouted and stored at -80 °C | |
Endothelial Cell Growth Medium | ECG medium | Promocell | C-22111 | supplemented with 2% FCS, supplement mix (both included), and 1% P/S |
Expoxy-coated round tip tweezer | fine tweezer | Rubis Pinzette | E78144-2A | |
Fluorescent marker, dark red | Invitrogen | F8807 | ||
Glass coverslips, Ø13 mm, #1 | Epredia | CB00130RA120MNZ0 | ||
Glass coverslips, Ø13 mm, #1.5 | Epredia | CB00120RAC20MNZ0 | ||
Hydrochloride acid, 25% | HCl | Merck | 1.100316.1000 | |
Krebs-Henseleit buffer | Sigma-Aldrich | K3753 | ||
Microscope, Leica Application Suite X software, version 3.5.7.23225 | Leica Microsystems | |||
Microscope, Leica DMi8 epifluorescent microscope | Leica Microsystems | |||
Microscope, Nikon Ti2 Eclipse | Nikon | |||
Microscope, NIS-Elements AR software | Nikon | |||
N,N,N',N'-tetramethylethane-1,2-diamine | TEMED | Merck Life Science | 110-18-9 | |
Nalgene bottle | Thermo Scientific | 2187-0016 | ||
Needle, 21Gx1" | Henke Sass Wolf | HK4710008025 | ||
Normal serum, goat | Gibco | 10098792 | ||
Papaverine hydrochloride | Sigma | 61-25-6 | ||
Penicillin/Streptomyocin (10 000 U/mL) | P/S | Gibco | 15140163 | |
Petri-dish, large (145x20mm) | Greiner Bio-one | 639160 | ||
Petri-dish, small (60x15mm) | Greiner Bio-one | 628160 | ||
Phosphate Buffered Saline | PBS | Sigma | P4417 | |
Pluronic F-127 | Merck Life Science | P2443-250G | ||
Puncture needle, sharp closed tip | unknown | |||
Scalpel, no. 4 | Swann-Morton | |||
Sodium hydrogen carbonate | NaHCO3 | VWR International | 144-55-8 | |
sulfosuccinimidyl 6-(4'-azido-2'-nitrophenylamino)hexanoate | Sulfo-SANPAH | Thermo Scientific | 22589 | dissolved in DMSO at a concentration of 25 mg/mL, aliquoted and stored at -80 °C |
Surgical blade, no. 20 | Swann-Morton | |||
Surgical drape sheet | Foliodrape | 2775001 | ||
Surgical tweezer | Lettix | 400024 | ||
Triton X-100 | Merck | 9036-19-5 | ||
UV lamp | Analytik Jena | 95-0042-13 | ||
well plate, 96-well, F-bottom | Greiner Bio-one | 655180 | ||
well plate, glass bottom 12-well | MatTek | P12G-0-14-F |
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