Skip to main content
Stem Cells International logoLink to Stem Cells International
. 2016 Jan 31;2016:6023132. doi: 10.1155/2016/6023132

Features of Microsystems for Cultivation and Characterization of Stem Cells with the Aim of Regenerative Therapy

Kihoon Ahn 1, Sung-Hwan Kim 1, Gi-Hun Lee 1, SeungJin Lee 1, Yun Seok Heo 2,*, Joong Yull Park 1,*
PMCID: PMC4752999  PMID: 26941802

Abstract

Stem cells have infinite potential for regenerative therapy thanks to their advantageous ability which is differentiable to requisite cell types for recovery and self-renewal. The microsystem has been proved to be more helpful to stem cell studies compared to the traditional methods, relying on its advantageous feature of mimicking in vivo cellular environments as well as other profitable features such as minimum sample consumption for analysis and multiprocedures. A wide variety of microsystems were developed for stem cell studies; however, regenerative therapy-targeted applications of microtechnology should be more emphasized and gain more attractions since the regenerative therapy is one of ultimate goals of biologists and bioengineers. In this review, we introduce stem cell researches harnessing well-known microtechniques (microwell, micropattern, and microfluidic channel) in view point of physical principles and how these systems and principles have been implemented appropriately for characterizing stem cells and finding possible regenerative therapies. Biologists may gain information on the principles of microsystems to apply them to find solutions for their current challenges, and engineers may understand limitations of the conventional microsystems and find new chances for further developing practical microsystems. Through the well combination of engineers and biologists, the regenerative therapy-targeted stem cell researches harnessing microtechnology will find better suitable treatments for human disorders.

1. Introduction

Stem cells (SCs) are sensitive to various in vivo physical/metabolic/biological microenvironmental stimuli and differentiable to necessary cell types [1]. Such multilineage differentiation potential is a promising feature for therapeutic applications to cure of human disorders, such as cardiac disease [2], bone diseases [3], and neurological diseases [4]. The in vivo microenvironments of the stem cells are closely linked to intricate cell-friendly spaces with biochemical and mechanical features [5]. However, it is hardly possible to recreate such dynamic and complex cellular environments in traditional dish-based culture [6]. Meanwhile, the biomicrotechniques emerged in the 1990s and have been continuously utilized to develop cell culture microsystems capable of mimicking in vivo-like conditions [7] (cell-cell signaling [8], three-dimensional (3D) cell microenvironment [9], and growth factors [10]) and creating engineered stimulations mechanical forces [11, 12] and electrical fields [13].

The most frequently used microtechniques for cell biology study are microwell, micropattern and microchannel. Microwell is micrometer-sized well, which can handle pico- or nanoliters of liquid, for trapping single or multiple cells. The first microwell system was made with poly(methyl methacrylate) (PMMA) in the early 1950s [14], since then microwell techniques have been frequently applied to various biological studies [15]. Comparing the traditional method which used culture dish, using microwell has advantages such as low sample amount, ability of high throughput test, and rapid analysis. Micropattering and microcontact printing are performed by using soft lithography method and used as cell patterning techniques in the past decade. Surface coatings and patterning reform the surface chemistry of a substrate of either cytophilic region or cytophobic region [16]. It can be applied to varied biological research of cellular characterization including control of cell focal adhesion at the microscale [17]. Micropatterning techniques can provide advantages such as dynamic surface properties, ability of various cell-cell interaction, and 3D networks structures [16]. Microfluidic system handles small amount (micro- and nanoliters) of fluids in microscale channel and have been adopted to a lot of applications in multidisciplinary field. Through a lot of studies for several decades [18], the microfluidic system has been believed as an important method with an infinite potential for modern biology research [19, 20]. The microfluidic system, born from microelectromechanical system (MEMS), created a new area of micro total analysis systems (μ-TAS) or lab-on-a-chip having the advantages such as small size of device, minimum reagent consumption, quickly reaction time, and most importantly the ability to mimic in vivo microenvironment [21]. In this regard, the microfluidic systems have been well appreciated in cell biology researches.

However, the above-mentioned microtechnology-based cell culture systems have been mainly developed by engineers, and thus a gap between the engineers (developer) and the biologists (user) contains issues such as difficulties in understanding design/operation principles, low adaptability, and barriers of the two fields (indifference). For these reasons, though microcell culture systems have been technologically progressed as an important method for cell biology and tissue engineering, these various useful systems do not seem to be well adopted to biologists as principal method [22]. Currently, the enthusiasm and appreciation for the biomicrotechnologies stay mainly in the engineering fields not in the biology field; thus the need is more communication and feedback between the two groups for sharing knowledge of physical/chemical principles in microfluidics and understanding the practical requirements from biologists.

In this review, we will introduce the three major microsystem-based cell culture techniques (microwell, micropattern, and microchannel) which have been used for various analyses about stem cell research. The focus is on explaining specifications of the addressed microsystems regarding physical principles, distinct characteristics, applied stem cell types and revealed stem cell characteristics to reduce the gap of between engineers and biologists in stem cell research. The review is developed as follows: first, the microwell and how to apply it to stem cell studies; second, the micropatterning technique which were focused on the effect of the surface topology on stem cell reaction; third, the physical principle of diffusion/gradient/shear stress created in microfluidic channel and its application.

2. Microwells

The weakness of conventional cell culture using a Petri dish or a multiwell dish is that individual cell responses are ignored and only a mix of the bulk responses of a population of cells is represented [23]. For stem cell research, it is important to collect data from isolated individual cells or cell pallets in high-throughput manner, because both isolated cell response and statistical analysis should be obtained simultaneously in order to understand stem cell characteristics clearly. In this regard, microwell array has been used as one of primary pioneering microtechniques [15]. One of examples to apply microwell technique to stem cell research was to recreate niche structure to understand the effects of specific proteins on stem cell function. With hydrogel-based microwell arrays, in vivo microenvironment, or niche, is embodied assessing the effects of either secreted or tethered proteins characteristics on hematopoietic stem cell (HSC) fate [24]; 50–80 μm height and 100–130 μm diameter cylindrical-shaped microwell array was fabricated with poly(ethylene glycol) (PEG) (Figure 1(a)). By reactive microcontact printing, protein A site selectively anchors Fc-chimeric proteins on the microwell array which can be artificial niches. HSCs were seeded per well of a 96-well plate; each well contains 400 microwells in 200 μL of medium. After cell seeding, the individual cells were randomly sedimented to the bottoms of the microwells. This study showed that the kinetic behavior of single or rare adult stem cells with simple coculture by tethering properly oriented transmembrane niche proteins. Also the number of cells in microwell can be easily controlled to make desired size of cell pellet. The biomimetic physicochemical properties of the hydrogel substrate could simulate soft and hydrated microenvironment of HSCs in the bone marrow.

Figure 1.

Figure 1

(a) Fabrication of single HSCs microwell array. (i) Reactive thiol and vinyl sulfone end-groups on poly(ethylene glycol) (PEG) precursors. (ii) Overview of hydrogel microwell array fabrication. A PDMS stamp is cast on a silicon master (step 1). This stamp is used as a template to crosslink a PEG gel containing the complementary microwell array topography (steps 2 and 3). Upon swelling and washing, the hydrogel surface is used to trap individual HSCs (step 4). Typical dimensions of microwells are indicated. (b) (i) Coculture system using parylene-C stencils. For cell culture on PDMS, fibronectin was coated on the PDMS surface. (ii)~(v) Light micrograph (left) and the corresponding fluorescent (right) images of the steps in the formation of dynamic cocultures using parylene-C stencils. (ii) Hyaluronic acid-coated parylene-C stencil was reversibly sealed on fibronectin treated PDMS and seeded with mES cells. (iii) The patterned cocultures of mES cells and AML12 hepatocytes. (iv) To generate dynamic cocultures, the stencil was gently peeled away, leaving the mES cells. (v) After depositing a layer of fibronectin, a third cell type (NIH-3T3) was seeded on the exposed surface. Scale bars are 200 μm.

Controlling the size or shape of stem cells has been found to regulate cellular fate decisions. Decision of a mesenchymal stromal cell (MSC) to become either a fat or a bone cell depends on the size/shape the cell, which correlated with the activation of the RhoA signalling which is an integrator of structural and soluble cues in developmental processes [25]. For example, hMSC adipogenesis occurred in small group of the cells, osteogenesis occurred only in large group of the cells, and a mixture of both lineages was found on intermediate-sized environment. It is thus possible that microwell size/shape can determine stem cell fate.

The size of ES cell aggregates has been shown to influence lineage specific differentiation in various microwell size (from 40 μm~150 μm) [26]. Shape effect to fate decision has been proved for single cell level and size effect for stem cell pellet. However, more study should be done to clarify the shape effect for stem cell pellet.

A various sizes of hydrogel microwells have been used to determine mouse embryonic stem cell aggregate size effect [27]. In lager embryonic bodies (EBs) formed in larger microwells (450 μm in diameter) cardiogenesis was enhanced, and in contrast, endothelial cell differentiation was increased in smaller microwell (150 μm in diameter). It indicated that EB size could be an important parameter in ES cell fate specification via differential gene expression of members of the noncanonical WNT pathway which is known to be important in cardiogenesis and endothelial cell differentiation.

Microwell function can diversify via surface coating such as matrigel extracellular matrix coating [28]. Culturing on the matrigel-coated microwell (hole sizes: 50, 100 μm, depths: 50, 120 μm), human embryonic stem cells (hESCs) retained pluripotency, differentiating to embryonic germ layers. Similar to microwell coating technique, precoated stencil also can be used. Using parylene-C microstencil, coculture system of embryonic stem (ES) cells was studied [29]; ES cells were cocultured with fibroblasts and hepatocytes by using the reversible sealing stencil on the microwell patterned substrate (range from 40 μm to 200 μm). In this approach, the coculture systems of three type cells are shown in (Figure 1(b)). Since the stencil can be removed in particular time point, ES cells can interact with a defined cell type for a particular period followed by exposure to another cell type.

Another microwell was suggested to create uniform-sized EBs using principle of surface tension and capillary force. Surface tension is observed on the liquid-gas interface. In macroscale world, other forces such gravity and inertia are much greater than the surface tension or capillary force. However, surface tension is dominant over the gravitational body forces due to size effect, which can be explained via the scaling laws [30]. More attention from the microfluidic field should be drawn to the dominant forces in microscale world such as surface tension, osmosis, and Van der Waals force, to improve usability and functionality of microfluidic systems used in cell research. The equation of surface tension and pressure variation can be written as ΔP = γ(1/R 1 + 1/R 2), where γ is the liquid surface free energy and R 1 and R 2 are radii of curvature in each of the axes that are parallel to the surface [19]. The capillary force is mainly influenced by surface conditions and device design; therefore, principle of capillary force would be sufficiently considered for the microfluidic device fabrication [31]. For the large quantity production of uniform-sized EBs, many deep concave wells were patterned first and then partially filled up with polymer solution. Due to the surface tension (capillary force), the surface of the polymer solution in each microwell created concave surface which were then cured to serve as 3D curved concave microwell (diameters of 300, 500, and 700 μm). The ES cells were seeded in these concave-bottomed total of 300 microwell array to obtain uniform-sized spherical EBs (Figure 2) [32]. This study is a good example study which showed how the capillary force was cleverly adopted to fabricate microwell systems applied to EB research.

Figure 2.

Figure 2

Schematic representation of concave microwell generation utilizing surface tension force. First, the pentagonal-shaped microwells were filled with prepolymer solution and exposed to squeezing/suction. Concave wells were created by a little residual polymer solution due to the surface tension. The ESCs were then injected into microchannel (and microwells) for trapping a uniformal quantity of ESCs to produce the same-sized EBs.

3. Micropattern

Micropillar array provides uneven surface to cells and often with particular coating to evoke specific cellular responses, inducing different cellular morphologies [33]. Additionally, micropillar array provides opportunities for mechanical interlocking and suitable attachment matrixes. One example study was done to show the expansion of hematopoietic stem cells on murine stromal cells by 3D micropillar array [34]. The murine fibroblast cell line M2-10B4 is seeded on the collagen coated pillars which have a 50 μm diameter and 85 μm height with lattice spacing of 50 μm. The results showed a significantly higher expansion of HSCs and higher production of cytokines in the micropillar compared to the 25 T flask. Preexisting and common idea of micropillar structures is homogeneous shape such as circular or square columns; however, heterogeneous and designed shapes have been tried for micropillar array system (Figure 3(a)) [33]. Using mathematical algorithms, nonbiased and random 2,176 different topographic surface features were designed by combinations of three types of primitive shapes (circles, triangles, and rectangles). This study shows that the osteogenic differentiation of hMSCs was enhanced by surface topography. The expression of alkaline phosphatase of human mesenchymal stromal cells, a marker for early osteogenic differentiation, was analyzed.

Figure 3.

Figure 3

(a) An algorithm-based topographical chip. (i) Fabrication of the topographical chip (poly(lactic acid)) was based on the unique mask design using mixed primitives (circles, triangles, and rectangles). (ii) SEM images of a section of the patterned feature (scale bar: 50 μm). (b) Fabrication of micropillar array with GLAD technique. (i) Fabrication of tantalum (Ta) nanotopographies using a combination of colloidal self-assembly, colloidal lithography, and glancing angle deposition (GLAD) techniques. After assemble 722 nm poly(styrene) colloids, 60 nm Ta (Ta60) was sputtered, and then mask was removed, and GLAD of Ta was done for increasing of feature heights (GLAD100 or GLAD200). (ii) Scanning electron micrographs (SEMs) of Ta60, GLAD100, and GLAD200 (scale bar: 2 μm). (iii) Alkaline phosphatase (ALP) and calcium (Ca) quantification of osteogenic differentiated human adipose derived stem cells (hADSCs) on the surfaces by the cells were quantified with at least three samples (n > 3). # and indicate that there is a significant difference between FLAT and Ta60, respectively.

The effect of nanoscale pillar was compared with microscale pillar in terms of mesenchymal stem cell interaction with the pillar-patterned surfaces [35]. According to different physical and topological surfaces (flat, micro-, nanopillars; 2 μm and 20 nm pillars), adipogenic, chondrogenic, and osteogenic differentiation paths were examined to show that nanoscale pillars have greater impacts on mesenchymal stem cell growth, adhesion, lineage specific, and osteogenic differentiation. Another example is that adhesion, proliferation, and osteogenic differentiation of human adipose-derived stem cell were studied on hexagonally close-packed crystal array nanopillar structures [36]. The nanostructure was fabricated using a combination of facile techniques including colloidal self-assembly, colloidal lithography, and glancing angle deposition (GLAD). The fabrication procedure is shown in Figure 3(b). Tantalum deposition, biocompatible material, fills the gap between polystyrene beads, and then, removing the beads, hexagonally close-packed crystal array can be obtained and finally GLAD of Ta increases the structure heights. GLAD technique was used to increase the surface roughness, feature height facilitating extracellular matrix component deposition, and osteogenic differentiation. The osteogenic differentiation of hASCs in terms of alkaline phosphatase activity and calcium deposition was stimulated on GLAD surface.

The poly(vinyl alcohol)- (PVA-) micropatterned polystyrene plate was introduced to mimic the in vivo structure and to confirm the influence of between micropattern width and hMSCs differentiation. The surface had twelve different width micropattern stripes (5 to 1000 μm) and hMSCs was differentiated into vascular smooth muscle cells (VSMCs) on each stripe using TGF-beta 1. The results showed that hMSCs is more differentiated into VSMCs in narrow width micropattern stripes (20 to 200 μm) comparing other range of width and nonpatterned region [37].

Another surface-patterning method using polymer film was reported. To generate micropatterned ridge/groove geometries on poly(ε-caprolactone) (PCL) film, the flexible film was stretched uniaxially in 54°C. Cultured on the polymer film, MSCs aligned along the ridges with elongated morphology. The geometric cues and mechanical properties were different depending on prefabricated types of PCL film (solvent cast, cast-stretch, and heat-press). The micropatterns regulated MSCs function for tunica media construction. Moreover, MSCs obtained a contractile smooth muscle cells-like phenotype with the expression of the contractile makers [38].

4. Microfluidic Channel

Signaling molecules have an important role for specific functions of stem cells. For study about molecular interactions, the microfluidic system can provide great opportunity to effective research for biological functions of stem cells [39, 40]. In microfluidic systems, flows are mostly laminar which has high diffusion and low convection. Laminar flow is diffusion dominant flow which is undisturbed paralleled flow layers where no cross-currents (convective mixing) exist. On the contrary, turbulent flow is convective mixing dominant flow characterized by the random motion of fluid particles. It has been shown that flow changes its stance between laminar and turbulent flows according to the dominance of inertia/momentum effect compared with viscosity effect (or vice versa), which is represented with Reynolds number (= inertial forces versus viscous force; Re = ρUD/μ, where ρ is the fluid density, U is the velocity, D is the pipe diameter, and μ is the fluid viscosity). For a pipe flow, when Reynolds number is less than 2100, it becomes laminar; this value physically means that the viscous effect is comparable to the inertial force. In microscale channels, however, D is 10−3 m order, guaranteeing small Reynolds number (thus laminar flow) for most microchannel flows in microfluidic systems [19]. Therefore, convective mixing is much suppressed due to the inherent laminar characteristics mentioned above, and diffusive mixing becomes a dominant phenomenon. Naturally, most microfluidic systems have been designed in consideration of this fundamental fluid dynamic feature for effective operation [41, 42].

4.1. Diffusion and Concentration Gradient

Laminar flow is one of the predominant factors in microfluidic systems, and thus the molecular diffusion is the important process. The diffusion is a time-dependent phenomenon. Molecules in the high concentration region diffuse into the low concentration region until an equilibration of concentration is achieved [43]. This process can be explained by Fick's law; J = −Dϕ/∂x, where J is the diffusion flux, D is the diffusion coefficient, ϕ is the concentration, and x is the distance. The microfluidic system can provide an ability for the control of the concentration gradient of biomolecules, cellular microenvironment by using diffusion phenomenon [44]. In laminar flow, mixing of different solutions is achieved by diffusion. According to Fick's law, the diffusion length has relevance to the diffusion coefficient, time, and flow velocity; ~Dt~DL/V, where is the diffusion length, t is the time, V is the flow velocity, and L is the traveling length [45]. Since this relationship shows that the diffusion length is controlled by the velocity, various concentration profiles can be made in microfluidic systems by controlling the flow velocity in microchannel where the stem cells grow.

T-channel is one of popular microchannel geometries to have two different solutions from each inlet which come into the main channel to create molecules transportation among the two steams only via diffusion by utilizing laminar flow characteristics (Figure 4(a)) [46, 47]. The biological and chemical processes are significantly considered about gradient of solutions properties [48, 49]. Many studies have reported that the cells are influenced by concentration gradient of diffusible signalling molecules [50, 51]. To confirm the importance of concentration gradient in biology, many methodological approaches have been developed fabricating specific channel shapes [5255].

Figure 4.

Figure 4

(a) Schematic illustration of the T-channel. Due to laminar flow characteristics, the transportation of molecules between two streams in the channel was induced via diffusion. The two injected sample fluids have different diffusion coefficients; the asymmetry interdiffusion profile is generated in the microchannel. (b) Schematic representation of utilized microfluidic system with osmotic pump. The microchannel and osmotic pump were connected by a flexible tube and the flow is generated by the osmotic pump to generate concentration gradient profile along the microchannel.

A microfluidic device was introduced to create concentration gradient in a simple Y-channel (width 4 mm, height = 250 μm) where hMSCs were cultured (seeding density of 5 × 105 cells/mL). The flow in this system was driven by a passive (without need of external power) pump called osmotic pump (10 × 10 × 10 mm). This pump provided low and steady flow using osmotic phenomenon between poly(ethylene glycol) solution and DI water. The efficacy of the device was demonstrated by testing hMSCs; the device enabled hMSCs to change properties such as cells viability, attachment, and morphology according to FBS concentration gradient (the attachment of hMSCs is performed in strong concentration of FBS). The advantage of this system includes portability; the device with pumping unit can be easily kept in conventional incubator. This system was also applied to neuronal progenitor cell to study the influence of cytokine concentration (Shh and FGF8 versus BMP4) on neural development (differentiated into neurons). Initially the hESCs-derived neural progenitor cells were seeded (density of 5 × 106 cells/mL) onto channels. The osmosis pump provided extremely slow flow rate that is enough to create the cytokines gradient concentration and to minimize shear effects to the cells (Figure 4(b)) [56, 57].

To mimic in vivo-like 3D microenvironment for human neural stem cell (hNSCs), a microfluidic channel array was introduced; this system consists of central channel for cell culture and two side channels for flowing culture media. The hNSCs were loaded into the extracellular matrix hydrogel solutions (COL I, Col I + FN, Col I + LN, and Col I + FN + LN) and the cell/hydrogel mixture was injected into the central channel for 3D culture (seeding density is 5 × 106 cells/mL). Thus, molecular transport was generated between central cell culture channel and two-side culture media supply channels by diffusion. The hNSCs differentiation was confirmed in normoxia and hypoxia conditions (Figure 5(a)) [58].

Figure 5.

Figure 5

(a) Schematic illustration of niche-like microsystem. The central culture chamber was seeded with hNSCs with hydrogel solutions and the two sides of channels were filled with culture medium. Therefore, the needed molecules were provided to the hNSCs through the diffusion from the side channels. (b) Schematic representation of microfluidic system for EB differentiation. Two different solutions (one with growth factor) were injected to the Y-channel. The advection became more dominant than diffusion preventing growth of concentration gradient profile; therefore, the differentiation was developed only one side of the EB. Image analysis confirmed the influence of 10 μM RA (retinoic acid).

Concentration gradient in microchannel is generated by diffusion mechanism since convective mixing is suppressed in low Reynolds number (laminar flow). Therefore, it is a favorable feature of microfluidic gradient generation systems for cell biology application because concentration gradient is biological norm in human body. However, sometimes generation of stratified concentration profiles is needed to test cell characteristics. In this regard, a good example system was introduced to study differentiation of EB cells in stratified biological molecular concentration. To generate stratified flow, a simple Y-channel geometry (1 mm width × 1 mm height) was used and two different types of medium (L-15 culture medium versus L-15 with 10 μM retinoic acid) were injected to the inlets (at the flow rate of 50 μL/min). A single EB was located at the middle of microchannel. This system provides the advection-dominant (compared to the diffusion strength) flow to prevent the mixing of the media, resulting in the fact that only the half of EBs (L-15 with 10 μM retinoic acid for growth factor) were differentiated (Figure 5(b)) [59].

4.2. Shear Stress

Relationship between shear stress and cells has been studied in microfluidic systems. Various stem cells including ESCs and MSCs were influenced by the shear stress regarding adhesion and differentiation [6062]. The shear stress is one of mechanical forces applicable to cell mechanics studies and depends on the velocity gradient at the surface [63]. In most thin microchannels, with the assumptions of laminar/incompressible flow and Newtonian fluid (stress is linearly proportional to the rate of change of its deformation over time [64]), the shear stress can be written as τ = 6μQ/h 2 w for a rectangular cross section with wh, where τ is the shear stress, μ is the fluid viscosity, Q is the flow rate, h is the channel's height, and w is the channel's width [65]. Although most flow generated in microsystems is laminar flow [66], the effect of the shear stress on cells has been overlooked in most previously reported microsystems. Thus thorough consideration on the influence of shear stress to cells should be done at the design step of the systems and also at data analysis step [9].

To investigate how shear stress is influential to morphology of ESC colony, microfluidic device was utilized to control wide range of flow rates. The device has multiple (4 and 16) cell culture chambers with computerized flow resistance controller; ESC colony in each chamber experiences different shear stress levels. This study confirmed that the ESCs colony area increased in the higher shear stresses (about >10−2 dyne/cm2) (Figure 6(a)) [67]. Another relationship between shear stress and the hESC morphology and differentiation have been researched utilizing microfluidic bioreactor which generates both shear stress and concentration gradient. This system consisted of gas exchanger and culture chamber array (4 × 3 chambers). The hESCs were cultured in each chamber (3.5 mm × 3.5 mm × 100 μm) coated with collagen IV. The results indicate that vascular differentiation increased under higher shear stress level obtained in microfluidic channel (Figure 6(b)) [63]. The hESCs-Human Foreskin Fibroblasts (HFF) coculture study utilizing “flow-stop” system was introduced. The microreactors were designed with consideration of mass transport and shear stress. The hESCs are sensitive to shear stress; the hESCs were usually washed out even under the low shear stress (<0.01 dyne/cm2). To remedy this problem, the “flow-stop” operation scheme was adopted in this system; flow cycles of 2 h stop and 2 min flow was repeatedly applied. The hESCs were able to survive under the flow-stop operation in microchannel chambers (10 mm × 20 mm × 100 μm) to prove that the “flow-stop” method was useful for long-term culture of hESC cells [65].

Figure 6.

Figure 6

(a) Photograph and schematic illustrate the shear generation device. The microchannel consisted of mixer, delivery, via, and chamber layers. The flow was delivered through inlet; each chamber had different flow rate (shear stress) because of different flow resistance which was induced by the geometry. The data analysis showed that ESC colony development was proportional to the shear stress level. (b) Schematic illustration of another shear generation microfluidic system with gas exchangers. The two types of channels (h = 0 mm, h = 4 mm) were used to create different shear stress levels. The result showed that the hESCs were more differentiated in high-shear (when h = 0 mm).

5. Summary

Microsystem techniques can be categorized into three different types of techniques. First, microwell is the technique which allows cells to create in vivo-like 3D structure. Second, micropatterning can confirm the cells reaction by controlling the micro-/nanoscaled surface topology. Finally, microfluidic channel provides dynamic and precise control of mechanical and biochemical cues such as shear stress and biochemical concentration. Table 1 summarizes the related operational principles, target cell types, characteristic of system, performance, and regenerative therapy of these methods.

Table 1.

Summarization of the cell operational principles, target cells, characteristics, performance, and regenerative therapy.

Methods Operational principles Target cell Characteristics Performance Regenerative therapy Reference
Microwell Biochemical reaction Hematopoietic stem cell (HSCs) Hydrogel Proteins characteristic [24]
Human embryonic stem cell (hESCs) Hydrogel Differentiation Cardiac [27]
Human embryonic stem cell (hESCs) Matrigel Undifferentiation [28]
Embryonic stem cells (ESCs) Parylene-C stencil Coculture [29]
Embryonic stem cells (ESCs) Pressing/rolling Uniform-sized spheroid Cardiac [32]

Micropattern Surface topology Hematopoietic stem cell (HSCs) Micropillar Cell adhesion/expansion [34]
Human mesenchymal stem cell (hMSCs) Micropillar Differentiation Osteogenic [33]
Mesenchymal stem cell (MSCs) Micro/nanopillar Differentiation Osteogenic [35]
Human adipose-derived stem cell (hASCs) Nanopillar Differentiation Osteogenic [36]
Human mesenchymal stem cell (hMSCs) PVA pattern Differentiation Vascular [37]
Mesenchymal stem cells (MSCs) PCL film Differentiation Vascular [38]

Microfluidic channel Diffusion gradient Human mesenchymal stem cells (hMSCs) Osmotic pump/Y-channel FBS effects on hESCs [56]
hESCs-derived neural progenitor cells Osmotic pump/T-channel Differentiation Neurons [57]
Human neural stem cell (hNSCs) Hydrogel Differentiation Neurons [58]
Embryonic stem cells (ESCs) Peristaltic pump/Y-channel Differentiation Neurons [59]
Shear stress Embryonic stem cells (ESCs) Syringe pump/valves Cells morphology [67]
Human embryonic stem cell (hESCs) Syringe pump/hydrogel Differentiation Vascular [63]
Human embryonic stem cell (hESCs) Syringe pump Coculture [65]

6. Conclusions

In this review, various microsystems for stem cell researches were introduced in terms of physical principles (structure, diffusion, shear stress, etc.). For about 20 years, the microsystem techniques have been rapidly progressed, and a lot of useful microsystems were developed for stem cell research; however, only a few of the existing microsystems have been utilized by biologists or clinicians in practices. The mainly reason for this happening might be the gap of view point and background knowledge between engineering and biology fields. The newly developed microsystems are usually and mostly reported in the engineering societies [22], and invisible but strong barrier prevents communications to the people in the biology field. Through this review, we want to provide useful information regarding the microtechniques and applied principles to help understanding for biologists. We also want engineers to be aware of the gap and the need of conditions for expanding microsystems to practical biology labs; the new microsystems should be able to merge into the existing biolaboratory processes, easy to control, and available to be merged with the other laboratory equipment such as microscope and incubator. Also the challenges for both the engineers and biologists include that many other combinations of physical, chemical, and biological principles should be tested and tried to find better way to reveal the stem cell characteristics and control their functions in the future.

Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (NRF-2014R1A1A2057527) and the Chung-Ang University Research Scholarship Grants in 2015.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

References

  • 1.Fuchs E., Tumbar T., Guasch G. Socializing with the neighbors: stem cells and their niche. Cell. 2004;116(6):769–778. doi: 10.1016/s0092-8674(04)00255-7. [DOI] [PubMed] [Google Scholar]
  • 2.Segers V. F. M., Lee R. T. Stem-cell therapy for cardiac disease. Nature. 2008;451(7181):937–942. doi: 10.1038/nature06800. [DOI] [PubMed] [Google Scholar]
  • 3.Slavin S., Nagler A., Naparstek E., et al. Nonmyeloablative stem cell transplantation and cell therapy as an alternative to conventional bone marrow transplantation with lethal cytoreduction for the treatment of malignant and nonmalignant hematologic diseases. Blood. 1998;91(3):756–763. [PubMed] [Google Scholar]
  • 4.Svendsen C. N., Smith A. G. New prospects for human stem-cell therapy in the nervous system. Trends in Neurosciences. 1999;22(8):357–364. doi: 10.1016/S0166-2236(99)01428-9. [DOI] [PubMed] [Google Scholar]
  • 5.Gill A. A., Ortega Í., Kelly S., Claeyssens F. Towards the fabrication of artificial 3D microdevices for neural cell networks. Biomedical Microdevices. 2015;17(2) doi: 10.1007/s10544-015-9929-x. [DOI] [PubMed] [Google Scholar]
  • 6.Walker G. M., Ozers M. S., Beebe D. J. Insect cell culture in microfluidic channels. Biomedical Microdevices. 2002;4(3):161–166. doi: 10.1023/a:1016088128057. [DOI] [Google Scholar]
  • 7.Ziółkowska K., Kwapiszewski R., Brzózka Z. Microfluidic devices as tools for mimicking the in vivo environment. New Journal of Chemistry. 2011;35(5):979–990. doi: 10.1039/c0nj00709a. [DOI] [Google Scholar]
  • 8.Lee G. H., Kim S., Kang A., Takayama S., Lee S., Park J. Y. Deformable L-shaped microwell array for trapping pairs of heterogeneous cells. Journal of Micromechanics and Microengineering. 2015;25(3) doi: 10.1088/0960-1317/25/3/035005.035005 [DOI] [Google Scholar]
  • 9.Park J. Y., Takayama S., Lee S.-H. Regulating microenvironmental stimuli for stem cells and cancer cells using microsystems. Integrative Biology. 2010;2(5-6):229–240. doi: 10.1039/c000442a. [DOI] [PubMed] [Google Scholar]
  • 10.Kratchmarova I., Blagoev B., Haack-Sorensen M., Kassem M., Mann M. Mechanism of divergent growth factor effects in mesenchymal stem cell differentiation. Science. 2005;308(5727):1472–1477. doi: 10.1126/science.1107627. [DOI] [PubMed] [Google Scholar]
  • 11.Park J. Y., White J. B., Walker N., et al. Responses of endothelial cells to extremely slow flows. Biomicrofluidics. 2011;5(2) doi: 10.1063/1.3576932.022211 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Saha S., Ji L., De Pablo J. J., Palecek S. P. Inhibition of human embryonic stem cell differentiation by mechanical strain. Journal of Cellular Physiology. 2006;206(1):126–137. doi: 10.1002/jcp.20441. [DOI] [PubMed] [Google Scholar]
  • 13.Sauer H., Rahimi G., Hescheler J., Wartenberg M. Effects of electrical fields on cardiomyocyte differentiation of embryonic stem cells. Journal of Cellular Biochemistry. 1999;75(4):710–723. doi: 10.1002/(SICI)1097-4644(19991215)75:4&#x00026;lt;710::AID-JCB16&#x0003e;3.0.CO;2-Z. [DOI] [PubMed] [Google Scholar]
  • 14.Figueroa X. A., Cooksey G. A., Votaw S. V., Horowitz L. F., Folch A. Large-scale investigation of the olfactory receptor space using a microfluidic microwell array. Lab on a Chip. 2010;10(9):1120–1127. doi: 10.1039/b920585c. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Kim S.-H., Lee G. H., Park J. Y. Microwell fabrication methods and applications for cellular studies. Biomedical Engineering Letters. 2013;3(3):131–137. doi: 10.1007/s13534-013-0105-z. [DOI] [Google Scholar]
  • 16.Lindström S., Andersson-Svahn H. Overview of single-cell analyses: microdevices and applications. Lab on a Chip. 2010;10(24):3363–3372. doi: 10.1039/c0lc00150c. [DOI] [PubMed] [Google Scholar]
  • 17.Fink J., Théry M., Azioune A., et al. Comparative study and improvement of current cell micro-patterning techniques. Lab on a Chip. 2007;7(6):672–680. doi: 10.1039/b618545b. [DOI] [PubMed] [Google Scholar]
  • 18.Manz A., Harrison D. J., Verpoorte E. M. J., et al. Planar chips technology for miniaturization and integration of separation techniques into monitoring systems—capillary electrophoresis on a chip. Journal of Chromatography. 1992;593(1-2):253–258. doi: 10.1016/0021-9673(92)80293-4. [DOI] [Google Scholar]
  • 19.Beebe D. J., Mensing G. A., Walker G. M. Physics and applications of microfluidics in biology. Annual Review of Biomedical Engineering. 2002;4:261–286. doi: 10.1146/annurev.bioeng.4.112601.125916. [DOI] [PubMed] [Google Scholar]
  • 20.Whitesides G. M. The origins and the future of microfluidics. Nature. 2006;442(7101):368–373. doi: 10.1038/nature05058. [DOI] [PubMed] [Google Scholar]
  • 21.Lee S. J., Lee S. Y. Micro total analysis system (μ-TAS) in biotechnology. Applied Microbiology and Biotechnology. 2004;64(3):289–299. doi: 10.1007/s00253-003-1515-0. [DOI] [PubMed] [Google Scholar]
  • 22.Sackmann E. K., Fulton A. L., Beebe D. J. The present and future role of microfluidics in biomedical research. Nature. 2014;507(7491):181–189. doi: 10.1038/nature13118. [DOI] [PubMed] [Google Scholar]
  • 23.Di Carlo D., Lee L. P. Dynamic single-cell analysis for quantitative biology. Analytical Chemistry. 2006;78(23):7918–7925. doi: 10.1021/ac069490p. [DOI] [PubMed] [Google Scholar]
  • 24.Lutolf M. P., Doyonnas R., Havenstrite K., Koleckar K., Blau H. M. Perturbation of single hematopoietic stem cell fates in artificial niches. Integrative Biology. 2009;1(1):59–69. doi: 10.1039/b815718a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.McBeath R., Pirone D. M., Nelson C. M., Bhadriraju K., Chen C. S. Cell shape, cytoskeletal tension, and RhoA regulate stem cell lineage commitment. Developmental Cell. 2004;6(4):483–495. doi: 10.1016/s1534-5807(04)00075-9. [DOI] [PubMed] [Google Scholar]
  • 26.Karp J. M., Yeh J., Eng G., et al. Controlling size, shape and homogeneity of embryoid bodies using poly(ethylene glycol) microwells. Lab on a Chip. 2007;7(6):786–794. doi: 10.1039/b705085m. [DOI] [PubMed] [Google Scholar]
  • 27.Hwang Y.-S., Bong G. C., Ortmann D., Hattori N., Moeller H.-C., Khademhosseinia A. Microwell-mediated control of embryoid body size regulates embryonic stem cell fate via differential expression of WNT5a and WNT11. Proceedings of the National Academy of Sciences of the United States of America. 2009;106(40):16978–16983. doi: 10.1073/pnas.0905550106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Mohr J. C., de Pablo J. J., Palecek S. P. 3-D microwell culture of human embryonic stem cells. Biomaterials. 2006;27(36):6032–6042. doi: 10.1016/j.biomaterials.2006.07.012. [DOI] [PubMed] [Google Scholar]
  • 29.Wright D., Rajalingam B., Selvarasah S., Dokmeci M. R., Khademhosseini A. Generation of static and dynamic patterned co-cultures using microfabricated parylene-C stencils. Lab on a Chip. 2007;7(10):1272–1279. doi: 10.1039/b706081e. [DOI] [PubMed] [Google Scholar]
  • 30.Wu M. M., Cubaud T., Ho C.-M. Scaling law in liquid drop coalescence driven by surface tension. Physics of Fluids. 2004;16(7):L51–L54. doi: 10.1063/1.1756928. [DOI] [Google Scholar]
  • 31.Chung K. H., Hong J. W., Lee D.-S., Yoon H. C. Microfluidic chip accomplishing self-fluid replacement using only capillary force and its bioanalytical application. Analytica Chimica Acta. 2007;585(1):1–10. doi: 10.1016/j.aca.2006.12.012. [DOI] [PubMed] [Google Scholar]
  • 32.Jeong G. S., Jun Y., Song J. H., Shin S. H., Lee S.-H. Meniscus induced self organization of multiple deep concave wells in a microchannel for embryoid bodies generation. Lab on a Chip. 2012;12(1):159–166. doi: 10.1039/c1lc20619b. [DOI] [PubMed] [Google Scholar]
  • 33.Unadkat H. V., Hulsman M., Cornelissen K., et al. An algorithm-based topographical biomaterials library to instruct cell fate (vol 108, pg 16565, 2011) Proceedings of the National Academy of Sciences of the United States of America. 2013;110(14):p. 5731. doi: 10.1073/pnas.1109861108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Su W.-T. Ex vivo expansion of a hematopoietic stem cell on a murine stromal cell by 3D micro-pillar device. Biomedical Microdevices. 2011;13(1):11–17. doi: 10.1007/s10544-010-9466-6. [DOI] [PubMed] [Google Scholar]
  • 35.Brammer K. S., Choi C., Frandsen C. J., Oh S., Jin S. Hydrophobic nanopillars initiate mesenchymal stem cell aggregation and osteo-differentiation. Acta Biomaterialia. 2011;7(2):683–690. doi: 10.1016/j.actbio.2010.09.022. [DOI] [PubMed] [Google Scholar]
  • 36.Wang P.-Y., Bennetsen D. T., Foss M., Ameringer T., Thissen H., Kingshott P. Modulation of human mesenchymal stem cell behavior on ordered tantalum nanotopographies fabricated using colloidal lithography and glancing angle deposition. ACS Applied Materials & Interfaces. 2015;7(8):4979–4989. doi: 10.1021/acsami.5b00107. [DOI] [PubMed] [Google Scholar]
  • 37.Nakamoto T., Wang X., Kawazoe N., Chen G. Influence of micropattern width on differentiation of human mesenchymal stem cells to vascular smooth muscle cells. Colloids and Surfaces B: Biointerfaces. 2014;122:316–323. doi: 10.1016/j.colsurfb.2014.06.013. [DOI] [PubMed] [Google Scholar]
  • 38.Wang Z.-Y., Teoh S. H., Johana N. B., et al. Enhancing mesenchymal stem cell response using uniaxially stretched poly(ε-caprolactone) film micropatterns for vascular tissue engineering application. Journal of Materials Chemistry B. 2014;2(35):5898–5909. doi: 10.1039/c4tb00522h. [DOI] [PubMed] [Google Scholar]
  • 39.Hatch A., Garcia E., Yager P. Diffusion-based analysis of molecular interactions in microfluidic devices. Proceedings of the IEEE. 2004;92(1):126–139. doi: 10.1109/JPROC.2003.820547. [DOI] [Google Scholar]
  • 40.Khandurina J., Guttman A. Bioanalysis in microfluidic devices. Journal of Chromatography A. 2002;943(2):159–183. doi: 10.1016/S0021-9673(01)01451-0. [DOI] [PubMed] [Google Scholar]
  • 41.Folch A., Toner M. Cellular micropatterns on biocompatible materials. Biotechnology Progress. 1998;14(3):388–392. doi: 10.1021/bp980037b. [DOI] [PubMed] [Google Scholar]
  • 42.Kamholz A. E., Yager P. Theoretical analysis of molecular diffusion in pressure-driven laminar flow in microfluidic channels. Biophysical Journal. 2001;80(1):155–160. doi: 10.1016/S0006-3495(01)76003-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Toh A. G. G., Wang Z. P., Yang C., Nguyen N.-T. Engineering microfluidic concentration gradient generators for biological applications. Microfluidics and Nanofluidics. 2014;16(1-2):1–18. doi: 10.1007/s10404-013-1236-3. [DOI] [Google Scholar]
  • 44.Yu H. M., Meyvantsson I., Shkel I. A., Beebe D. J. Diffusion dependent cell behavior in microenvironments. Lab on a Chip. 2005;5(10):1089–1095. doi: 10.1039/b504403k. [DOI] [PubMed] [Google Scholar]
  • 45.Cussler E. L. Diffusion: Mass Transfer in Fluid Systems. Cambridge, UK: Cambridge University Press; 2009. [DOI] [Google Scholar]
  • 46.Brody J. P., Kamholz A. E., Yager P. BiOS'97, Part of Photonics West. International Society for Optics and Photonics; 1997. Prominent microscopic effects in microfabricated fluidic analysis systems. [Google Scholar]
  • 47.Kamholz A. E., Weigl B. H., Finlayson B. A., Yager P. Quantitative analysis of molecular interaction in a microfluidic channel: the T-sensor. Analytical Chemistry. 1999;71(23):5340–5347. doi: 10.1021/ac990504j. [DOI] [PubMed] [Google Scholar]
  • 48.Jeon N. L., Dertinger S. K. W., Chiu D. T., Choi I. S., Stroock A. D., Whitesides G. M. Generation of solution and surface gradients using microfluidic systems. Langmuir. 2000;16(22):8311–8316. doi: 10.1021/la000600b. [DOI] [Google Scholar]
  • 49.Kim S. H., Lee G., Park J. Y., Lee S. Microplatforms for gradient field generation of various properties and biological applications. Journal of Laboratory Automation. 2015;20(2):82–95. doi: 10.1177/2211068214562247. [DOI] [PubMed] [Google Scholar]
  • 50.Gurdon J. B., Bourillot P.-Y. Morphogen gradient interpretation. Nature. 2001;413(6858):797–803. doi: 10.1038/35101500. [DOI] [PubMed] [Google Scholar]
  • 51.Rhoads D. S., Guan J.-L. Analysis of directional cell migration on defined FN gradients: role of intracellular signaling molecules. Experimental Cell Research. 2007;313(18):3859–3867. doi: 10.1016/j.yexcr.2007.06.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Song H.-J., Poo M.-M. Signal transduction underlying growth cone guidance by diffusible factors. Current Opinion in Neurobiology. 1999;9(3):355–363. doi: 10.1016/S0959-4388(99)80052-X. [DOI] [PubMed] [Google Scholar]
  • 53.Zicha D., Dunn G. A., Brown A. F. A new direct-viewing chemotaxis chamber. Journal of Cell Science. 1991;99(4):769–775. doi: 10.1242/jcs.99.4.769. [DOI] [PubMed] [Google Scholar]
  • 54.Li Jeon N., Baskaran H., Dertinger S. K. W., Whitesides G. M., De Water L. V., Toner M. Neutrophil chemotaxis in linear and complex gradients of interleukin-8 formed in a microfabricated device. Nature Biotechnology. 2002;20(8):826–830. doi: 10.1038/nbt712. [DOI] [PubMed] [Google Scholar]
  • 55.Dertinger S. K. W., Chiu D. T., Jeon N. L., Whitesides G. M. Generation of gradients having complex shapes using microfluidic networks. Analytical Chemistry. 2001;73(6):1240–1246. doi: 10.1021/ac001132d. [DOI] [Google Scholar]
  • 56.Park J. Y., Hwang C. M., Lee S. H., Lee S.-H. Gradient generation by an osmotic pump and the behavior of human mesenchymal stem cells under the fetal bovine serum concentration gradient. Lab on a Chip. 2007;7(12):1673–1680. doi: 10.1039/b710777c. [DOI] [PubMed] [Google Scholar]
  • 57.Park J. Y., Kim S.-K., Woo D.-H., Lee E.-J., Kim J.-H., Lee S.-H. Differentiation of neural progenitor cells in a microfluidic chip-generated cytokine gradient. Stem Cells. 2009;27(11):2646–2654. doi: 10.1002/stem.202. [DOI] [PubMed] [Google Scholar]
  • 58.Yang K., Han S., Shin Y., et al. A microfluidic array for quantitative analysis of human neural stem cell self-renewal and differentiation in three-dimensional hypoxic microenvironment. Biomaterials. 2013;34(28):6607–6614. doi: 10.1016/j.biomaterials.2013.05.067. [DOI] [PubMed] [Google Scholar]
  • 59.Fung W.-T., Beyzavi A., Abgrall P., Nguyen N.-T., Li H.-Y. Microfluidic platform for controlling the differentiation of embryoid bodies. Lab on a Chip. 2009;9(17):2591–2595. doi: 10.1039/b903753e. [DOI] [PubMed] [Google Scholar]
  • 60.Yamamoto K., Sokabe T., Watabe T., et al. Fluid shear stress induces differentiation of Flk-1-positive embryonic stem cells into vascular endothelial cells in vitro. American Journal of Physiology—Heart and Circulatory Physiology. 2005;288(4):H1915–H1924. doi: 10.1152/ajpheart.00956.2004. [DOI] [PubMed] [Google Scholar]
  • 61.Yourek G., McCormick S. M., Mao J. J., Reilly G. C. Shear stress induces osteogenic differentiation of human mesenchymal stem cells. Regenerative Medicine. 2010;5(5):713–724. doi: 10.2217/rme.10.60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Stolberg S., McCloskey K. E. Can shear stress direct stem cell fate? Biotechnology Progress. 2009;25(1):10–19. doi: 10.1002/btpr.124. [DOI] [PubMed] [Google Scholar]
  • 63.Cimetta E., Figallo E., Cannizzaro C., Elvassore N., Vunjak-Novakovic G. Micro-bioreactor arrays for controlling cellular environments: design principles for human embryonic stem cell applications. Methods. 2009;47(2):81–89. doi: 10.1016/j.ymeth.2008.10.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Marcotte M., Hoshahili A. R. T., Ramaswamy H. S. Rheological properties of selected hydrocolloids as a function of concentration and temperature. Food Research International. 2001;34(8):695–703. doi: 10.1016/S0963-9969(01)00091-6. [DOI] [Google Scholar]
  • 65.Korin N., Bransky A., Dinnar U., Levenberg S. Periodic ‘flow-stop’ perfusion microchannel bioreactors for mammalian and human embryonic stem cell long-term culture. Biomedical Microdevices. 2009;11(1):87–94. doi: 10.1007/s10544-008-9212-5. [DOI] [PubMed] [Google Scholar]
  • 66.Lu H., Koo L. Y., Wang W. M., Lauffenburger D. A., Griffith L. G., Jensen K. F. Microfluidic shear devices for quantitative analysis of cell adhesion. Analytical Chemistry. 2004;76(18):5257–5264. doi: 10.1021/ac049837t. [DOI] [PubMed] [Google Scholar]
  • 67.Kim L., Vahey M. D., Lee H.-Y., Voldman J. Microfluidic arrays for logarithmically perfused embryonic stem cell culture. Lab on a Chip. 2006;6(3):394–406. doi: 10.1039/b511718f. [DOI] [PubMed] [Google Scholar]

Articles from Stem Cells International are provided here courtesy of Wiley

RESOURCES