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Review Series Free access | 10.1172/JCI41158
1Institute of Biomaterials and Biomedical Engineering, and Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada. 2McEwen Centre for Regenerative Medicine, University Health Network, Toronto, Ontario, Canada. 3Heart and Stroke Richard Lewar Centre of Excellence, Toronto, Ontario, Canada.
Address correspondence to: Peter W. Zandstra, TD-CCBR Rm. 1116, 160 College Street, University of Toronto, Toronto, Ontario, Canada M5S 3E1. Phone: (416) 978-8888; Fax: (416) 978-2666; E-mail: Peter.zandstra@utoronto.ca.
Find articles by Peerani, R. in: JCI | PubMed | Google Scholar
1Institute of Biomaterials and Biomedical Engineering, and Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada. 2McEwen Centre for Regenerative Medicine, University Health Network, Toronto, Ontario, Canada. 3Heart and Stroke Richard Lewar Centre of Excellence, Toronto, Ontario, Canada.
Address correspondence to: Peter W. Zandstra, TD-CCBR Rm. 1116, 160 College Street, University of Toronto, Toronto, Ontario, Canada M5S 3E1. Phone: (416) 978-8888; Fax: (416) 978-2666; E-mail: Peter.zandstra@utoronto.ca.
Find articles by Zandstra, P. in: JCI | PubMed | Google Scholar
Published January 4, 2010 - More info
Enabling stem cell–targeted therapies requires an understanding of how to create local microenvironments (niches) that stimulate endogenous stem cells or serve as a platform to receive and guide the integration of transplanted stem cells and their derivatives. In vivo, the stem cell niche is a complex and dynamic unit. Although components of the in vivo niche continue to be described for many stem cell systems, how these components interact to modulate stem cell fate is only beginning to be understood. Using the HSC niche as a model, we discuss here microscale engineering strategies capable of systematically examining and reconstructing individual niche components. Synthetic stem cell–niche engineering may form a new foundation for regenerative therapies.
Stem cell–targeted therapies can be defined as therapies that either use small molecules to regulate endogenous stem cell proliferation and differentiation or involve transplanting autologous and allogeneic stem cells or their in vitro–generated derivatives to enable tissue repair. Preclinical and clinical research based on stem cell–targeted therapies is underway for many diseases, including cancers, heart failure, neural degenerative diseases, autoimmune disorders, and diabetes (1, 2). A key aspect in the enabling of these therapies will be the ability to manipulate stem cell interactions with their local microenvironment (a setting known as the niche).
How the stem cell niche, which acts to filter and interpret a wide range of cellular scale physical and biological signals, acts to regulate tissue regeneration based on physiological demand and pathological state remains incompletely understood (3). Clinically, it is evident that the etiologies and pathophysiologies of many diseases, including leukemia, gliomas, Crohn disease, and epithelial skin cancer, involve microenvironmental alterations that perturb stem cell behavior (4).
Key challenges in developing therapies that focus on stem cell–extrinsic parameters include the need for a better understanding of the regulatory role of different stem cell–niche components and the development of systems-based approaches to target control points in these complex multidimensional structures. Each of these goals will benefit from bioengineering strategies to synthesize and mimic stem cell–niche components, both in isolation and as an integrated unit. Several excellent reviews have discussed the biology of the stem cell niche, including its various components and their significance (5–7). Herein, we focus primarily on the functional ontology of stem cell–niche components and discuss how bioengineering technologies can be used to recreate these components, both to provide novel insight into the control of stem cell fate and to enable new, clinically relevant strategies for tissue regeneration.
In vivo, stem cell niches create specialized microenvironments, consisting of soluble and surface-bound signaling factors, cell-cell contacts, stem cell niche support cells, ECM, and local mechanical microenvironments (Figure 1). These components are combined with systemic (8, 9) and neural (10, 11) inputs that either directly or indirectly regulate physicochemical cues, such as oxygen, metabolites, and hormones. The stem cell niche, although often represented as a static microenvironment into which stem and progenitor cells are nested, is in fact spatially and temporally dynamic, actively integrating long-term developmental signals with short-term cyclical and injury-mediated regenerative responses (12). Prospective alteration of the properties of stem cell niches may provide new therapeutic strategies by interrupting disease processes or accelerating regenerative healing.
The components of the HSC niche. As a paradigm, a niche can be compartmentalized into signaling pathways activated by soluble cytokines either secreted as autocrine ligands by stem cells themselves or in a paracrine manner by niche support cells, cell-ECM/cell-substrate interactions, cell-cell contacts, mechanical forces, and systemic hormones and physicochemical cues. Examples are given here for components of the HSC niche. LFA1, lymphocyte function–associated antigen-1; PTH, parathyroid hormone; VLA4, very late antigen-4.
Analysis of the HSC and its microenvironment provides a basis for understanding the design principles and regulatory complexity of a stem cell niche. The HSC niche is used as a prototypical stem cell niche because much is known about interactions between HSCs and their niches. Importantly, the principles underlying the regulation of the HSC niche are broadly applicable to other stem cell niches, although the identity of the particular molecular players may be different. As is true for other stem cell niches, the location, composition, and configuration of the HSC niche changes throughout ontogeny (Figure 2A). Several lines of evidence, including ex vivo embryo cell culture (13), cell lineage–tracking studies (14, 15), and analysis of circulating cells in mutant mice (16), suggest that microenvironments for the de novo emergence and maturation of hematopoietic progenitor cells can exist in several locations in the mammalian embryo. Although it is clear that extraembryonic tissue, such as the yolk sac and the placenta, gives rise to early hematopoietic progenitors, the intrinsic and extrinsic signals required for developmental progression into cells capable of fulfilling the functional requirements of definitive HSCs are still poorly understood. Progenitors isolated from the yolk sac and injected transplacentally or into newborn mice become capable of making long-term, multipotent contributions to the hematopoietic system (13) and direct lineage relationships can be traced between progenitors in the yolk sac and adult HSCs; this suggests that sequential in vivo microenvironments (maturation steps) may be necessary for generating cells capable of stable long-term hematopoiesis. Indeed, the failure of conventional tissue culture systems to mimic these developmentally specified microenvironments may account for the fact that upon in vitro differentiation, pluripotent stem cells (PSCs), including induced PSCs, typically yield progenitors that resemble those found in the yolk sac. It may be necessary to more closely mimic the physical and molecular dynamics of developmental stem cell niches to produce and maintain functional and mature PSC-derived HSCs for cell therapy (3).
Dynamic interactions between HSCs and the niche. In both the developing embryo (A) and the adult (B), HSC niches vary in time, location, and composition. The HSCs and their interactions with their current niche may provide the required signals to induce de novo hematopoiesis, maturation, or migration into the subsequent niche. In the adult, evidence suggests that HSCs reside in both endosteal and vascular niches that provide different molecular cues to regulate HSC quiescence and response to injury. There is still considerable controversy about the composition and role(s) of niche components and regulatory mechanisms active in the adult and embryonic HSC niches.
Even after definitive transplantable HSCs emerge within the embryo, their anatomical migrations are just beginning. Aorta-gonad-mesonephros (AGM) resident HSCs start to colonize the fetal mouse liver 10 days post coitum (17, 18). Transplantable HSCs in the fetal liver appear to be distinct from adult HSCs in gene expression and functional properties, such as cell cycling and cellular output (19). Whether these differences are associated with the distinct microenvironments, and thus can be mimicked or manipulated using stem cell–niche engineering, or are part of the intrinsic developmental program of HSCs remains to be elucidated.
HSCs can be found in at least two locations within the adult bone marrow: a location known as the osteoblastic niche, near the surface of the endosteum (the cellular lining separating bone from bone marrow that is comprised of different cell types, including osteoblasts, osteoclasts, and stromal fibroblasts), and a location known as the perivascular niche, which is associated with the vasculature (Figure 2B; reviewed in ref. 7). Osteoblasts have been identified as key players in the endosteal niche (reviewed in refs. 20, 21). Mice with a conditional deletion of the bone morphogenetic protein receptor, type IA (Bmpr1a) gene have been shown to develop ectopic regions resembling trabecular bone, and the number of these areas correlated with an increase in both the number of osteoblasts and HSCs (22). Similarly, transgenic mice expressing constitutively active parathyroid hormone/parathyroid hormone–related peptide receptor have been found to have increased numbers of osteoblasts and increased numbers of primitive blood progenitors, in part as a result of local increased Notch 1 activation (23). In vivo phenotypic analysis of putative HSCs and new genetic models have contributed to the recent identification of other HSC-associated regulatory axes within the bone marrow (reviewed in refs. 24, 25). In particular, reticular and endothelial cells, major components of the bone marrow vascular microenvironment, appear to be important participants in both the vascular and endosteal stem cell niches (26). How these dynamic and interactive niches integrate local signals to regulate HSC fate remains an important question (27). For example, although recent studies suggest that interactions between HSCs and VEGFR2 are required for hematopoietic engraftment and reconstitution of the vascular niche following myeloablative treatments (28), the role of damage to the bone marrow microvasculature and the associated crosstalk between HSCs and soluble and surface-bound factors in the regenerative process is not well understood. Recreating microenvironments capable of isolating key stem cell–niche parameters and evaluating their impact on defined hematopoietic stem/progenitor cell populations (29) should yield mechanistic insight and new strategies to control cell fate for therapy.
Establishing the functional equivalents of the stem cell niche. The motivation that drives stem cell–niche engineering is the question of how the extrinsic variables governing the local microenvironment of a stem cell can be recreated in a controlled reproducible manner. As in the preceding section, we primarily use the HSC system to demonstrate the key properties and concepts that should underlie creating synthetic niches for any stem cell type. Where HSC-specific examples cannot be found to illustrate a particular engineering strategy other stem or non–stem cell examples are provided.
Integral to niche engineering is dynamic control over soluble and surface-bound cytokines, ECM, cell-cell interactions, mechanical forces, and physicochemical cues (Figure 3). The roles of these individual stem cell–niche components are highlighted in Table 1, and example molecules and systems fulfilling these parameters in the context of the hematopoietic system are provided in Table 2. For instance, cell adhesion molecules allow for the localization and homing of HSCs to the niche, whereas ECM provides niche structural support and a stem cell attachment substrate. Using stem cell–niche engineering to study and control stem cell fate has several advantages. First, it can be used as a system to culture cells under more tightly regulated parameters at the cellular level than can be achieved in randomly organized bulk cultures, thereby removing heterogeneity and revealing biological mechanism (30). In this regard, stem cell–niche engineering is a technical tool to control cell signaling and fate. Second, it can be used as a means to determine the relative contributions of different niche components to the regulation of stem cell fate. For instance, the effect of cell-cell contact can be uncoupled from the effects of soluble ligand–based activation of signaling pathways by controlling the geometry of a culture at the single cell level (31). High-throughput approaches are also available to screen niche parameters in a combinatorial manner (32, 33). Finally, stem cell–niche engineering may reveal novel strategies to modulate stem cell niches in vivo for clinical benefit; for example, it may be possible to specifically disrupt interactions between stem cells and their niche (See Future directions: clinical translation of engineered niches below) or develop a way to guide the integration and functional maturation of cells into injured tissue (34). In the following sections, we discuss how various microscale technologies will enable stem cell–niche engineering at the molecular and cellular scale.
Strategies to engineer a stem cell niche. There are a variety of approaches to engineer and control individual niche components. These strategies can be multiplexed to produce hybrid devices that simultaneously provide macroscopic (e.g., O2-controlled bioreactors) and microscopic (e.g., micropatterned cocultures) control over the niche and stem cell fate. A poly(dimethyl siloxane) microfluidic device is shown (top right). hES cells were formed into 2,000-cell aggregates in 400-μm microwells (bottom right; scale bar: 100 μm). hES cells were immunostained with Hoechst 33342 (blue) and Oct-4 (green) on 400-μm Matrigel spots (bottom left; scale bar: 200 μm).
Engineering immobilized cytokine presentation. Localized growth factor delivery permits precise control over their concentrations and gradients and enables context-dependent signaling (Table 1). Ligand immobilization on surfaces represents one means of localized delivery and can involve tethering cytokines to surfaces using covalent chemical modification (35), incorporating ligands into biomaterial scaffolds (36), or simple protein adsorption (37). Within the hematopoietic system, it has been shown that a fusion protein combining SCF with a cellulose-binding domain is capable of inducing ligand-dependent receptor polarization on hematopoietic progenitor cell membranes, albeit with altered downstream signaling kinetics relative to similarly supplemented soluble SCF (38). This work and similar studies in other stem cell systems (39, 40) has demonstrated that the mode of cytokine presentation can impact downstream signaling fluxes and thus stem and progenitor cell fate. Localized cytokine presentation, which mimics in vivo mechanisms of cytokine delivery, appears to allow for a larger range of stem cell fate options than soluble factor delivery. For example, the Notch ligand Delta1, as part of a Delta1-Fc chimeric protein, appears more effective at expanding transplantable human HSC numbers from cord blood CD133+ cells when presented as an immobilized growth factor than when soluble (41). While not presently used in stem cell cultures, there is considerable opportunity to use spatial gradients in ligand presentation to control cell homing, adhesion, spreading, and migration. For instance, nerve growth factor patterning in three dimensions guides neuronal migration (42), and controlled surface deposition of matrix proteins and growth factors controls cell spreading (43). In two dimensions, microcontact printing (μCP) and microfluidic devices (see Sidebar 1 for a more detailed explanation of these approaches) have been used to directly pattern protein gradients onto surfaces (44, 45).
Importantly, although seemingly complex, these technologies are quite accessible; for example, high-throughput strategies to present combinations of ligands to stem cells have been achieved using commercially available microarray equipment. These microarrays consist of combinations of immobilized ligand and ECM spotted onto a two-dimensional substrate. In one study Wnt, Notch, and bone morphogenetic protein 2 (BMP2) were deposited as an array on slides to demonstrate how interactions between different combinations of matrix proteins and cytokines can modulate neural stem cell self-renewal and differentiation (33). To summarize, the use of the various approaches to ligand presentation described in this section is to guide cellular behavior at the microscale, with increased precision and homogeneity relative to bulk cultures. Biologically this allows for precise control over the concentration of the signal and the establishment of signaling gradients on the cellular scale. Clinically, such approaches could be used to expand stem cells ex vivo or allow for greater functionality of scaffolds that can be cotransplanted with cells.
Engineering soluble and dynamic cytokine presentation. The controlled delivery of ligands using biodegradable scaffolds or microfluidic devices provides growth factors in a temporally and spatially restricted fashion. The kinetics of ligand release can be engineered using programmed material degradation, as has been demonstrated with controlled release of dexamethasone to induce osteoblastic differentiation of human mesenchymal stem cells, using photopolymerization to attach dexamethasone to a gel with hydrolyzable lactide bond (46). Cellular architecture and matrix infiltration can also be dynamically controlled by enzyme-based material degradation (47).
Microfluidic devices are capable of providing linear (48) and logarithmic gradients (49) of ligand to cells by manipulating flow rates and flow profiles in the cellular environment. Combinations of cytokine gradients can be applied, as demonstrated for EGF, FGF, and PDGF in a study that examined astrocyte differentiation from human neural stem cells (50). This study suggested that it might be possible to mimic in vivo growth factor concentrations and thresholds for signaling and differentiation in vitro. Owing to high functionality and small sample requirements, microfluidic systems provide excellent opportunities for applications requiring high-throughput cell culture, screening, and analysis (51). For stem cells, this may include screening for self-renewal, differentiation, and antiapoptosis factors as well as those affecting aggregation, spreading, and attachment.
Engineering stem cell–ECM interactions. Stem cell–ECM interactions are important in the regulation of several stem cell–niche functions, including homing, mobilization, structural support, and signals for self-renewal and differentiation. Approaches to regulate stem cell–ECM interactions include synthesizing novel biomaterials for stem cell culture (52), fabricating scaffolds in three dimensions with microscale or nanoscale topography (53), micropatterning ECM in two dimensions (54), and high-throughput ECM microarrays. ECM microarrays are particularly useful for the design of novel surface coatings to grow stem cells on and for high-throughput interrogation of the role of matrix proteins in controlling stem cell fate (55). Synthetic biomaterials and recombinant protein forms of ECM have been used for stem cell maintenance, differentiation, and in vivo transplantation (52, 56). For example, increased numbers of hematopoietic progenitors and substantial differences in gene expression were observed when bone marrow isolates were cultured on collagen I versus control suspension cultures (57). In addition, aminated nanofiber scaffolds have been used to expand CD34+CD45+ mouse HSCs (58).
High-throughput ECM microarrays offer the ability to screen cell-ECM interactions with greater efficiency compared with conventional approaches, such as coating a typical microplate with a biopolymer. A robotic microarrayer has been created to generate a polymer array capable of analyzing 1,700 cell-biomaterial interactions simultaneously (55). It has been used to screen interactions between human ES (hES) cells and numerous biomaterials, with hits being defined as those maintaining hES cell self-renewal. Commercial microarrays have also been used to interrogate mouse ES cell differentiation into hepatocytes on combinations of laminin, fibronectin, collagen I, collagen II, and collagen IV (59). In combination, these studies suggest that microarray techniques will allow the interrogation of stem cell–substrate interactions quickly in order to create better in vitro niches for stem cells and will provide us with an in depth understanding of the role of matrix-derived signals in stem cell fate.
Engineering cell-cell interactions. Cell-cell contact appears to be of particular importance for stem cells such as HSCs, as they form heterogeneous cell contacts with osteoblasts, adipocytes, and megakaryocytes in the endosteal niche (Table 2). To mimic T cell interactions with macrophages in vitro, HSCs have been cultured with magnetic beads conjugated to the Notch ligand delta-like ligand 4 (DLL4) to induce their differentiation into T cells (60). Furthermore, direct coculture of umbilical cord–derived HSCs with the OP9 stromal cell line engineered to express DLL1 has been shown to expand HSCs with the ability to engraft the thymus of immunodeficient mice (61). Another approach to engineering cell-cell contacts has been to tether proteins that are typically found at the cell surface to biomaterials. Coating surfaces with immobilized E-cadherin fused with the Fc portion of IgG demonstrated that homotypic interactions between mouse ES cells can be largely replaced by E-cadherin presentation (62); if this result translates to hES cells, it may enable increased efficiency of single hES cell cloning. Cell-cell contact can also be controlled by the direct deposition of cells onto surfaces (63). As an example, mouse ES cells have been immobilized onto surfaces in clusters or as single cells to demonstrate that homotypic ES cell interactions depress colony-forming capacity in a manner associated with E-cadherin ligation (64). In addition, bow tie–shaped microwells, designed to limit the contact area between cells, have been used to demonstrate that homotypic ES cell interactions regulate specification toward neuroectoderm (possibly via connexin 43 ligation modulation) (65). In a very elegant non–stem cell example, stromal cells and hepatocytes have been cultured on micromachined silicon substrates with mobile parts, in order to dynamically modulate their interactions (66). Applying this approach to stem cell–niche interactions may provide novel insights into the distinct roles of cell contact and paracrine signaling in stem cell–fate decisions.
Microscale engineering of cocultures allows for greater control over interactions between cell types. Conventional cocultures of two or more cell types involve direct coculture, with heterotypic cell-cell contacts and paracrine signaling; trans-well cultures with limited cell-contact; or culture in conditioned media, which isolates soluble signals. In all three of these approaches, inductive cues provided by the cells are imprecisely applied, thereby impairing the ability to discern mechanism(s). In an important illustrative counter example, primary rat hepatocytes have been cocultured with mouse NIH 3T3 fibroblasts on micropatterned surfaces to investigate the role of homotypic and heterotypic cell-interactions on albumin and urea synthesis (67). Two interesting observations were made. First, maximizing heterotypic interactions between cells was necessary to maintain proper hepatocyte phenotype. Second, homotypic interactions among fibroblasts influenced the ability of fibroblasts to regulate hepatocyte behavior. As another approach, a layer-by-layer deposition using ionic polymers has been used to culture mouse ES cells and fibroblasts with microscale organization in two dimensions (68). Furthermore, dynamic micropatterned cocultures that allow for supporting cells to be added and removed have been developed using parylene-C stencils. In a proof-of-principle experiment, mouse ES cells were sequentially micropatterned with fibroblasts and hepatocytes (69). While not commonly employed for HSC culture at the moment, micropatterned cocultures of HSCs with inductive cell types could provide a novel strategy to discern the effects of paracrine signaling versus heterotypic cell-cell interactions on HSC fate.
Engineering mechanical forces on stem cells. Applying mechanical strain to stem cells has been shown to influence their self-renewal and differentiation capacities (Tables 1 and 2) (70, 71). Strain can be applied by mechanical strain–loading devices (70) or by regulating the substrate compliance and cell culture geometry (71). Microscale cantilevers can be used to apply and measure forces at the cellular and subcellular level (72). Recently, biomechanical forces acting on the vascular wall have been implicated in the development of hematopoietic cell progenitors (73, 74). Silent heart embryos, which by definition have no heartbeat or circulation, have severely reduced numbers of hematopoietic progenitors, suggesting that shear forces from blood flow may be required for the appropriate development of the hematopoietic system (74). The fluid force appears to act via nitric oxide signaling, as adding exogenous nitric oxide donors partially rescued hematopoietic development. In another study, it was demonstrated that applying shear forces increases the number of ES cell–derived colony-forming cells (73). In other stem cell systems, matrix elasticity appears to specify mesenchymal stem cell fate such that soft, stiff, and rigid matrices give rise to neurogenic, myogenic, and osteogenic cells, respectively (75). Furthermore, cell shape, which can change the physical stress a cell is under, appears to regulate the commitment of mesenchymal progenitor cells via endogenous RhoA activity, such that round cells differentiate into adipocytes, whereas flat, spread cells turn into osteoblasts (76). Forming multicellular aggregates of normal rat kidney epithelial cells on micropatterned surfaces has revealed that tissue geometry can generate regions of localized proliferation in areas of high traction. These regions, which were found at the edges, could be predicted by a finite-element model of multicellular mechanics and were dependent upon an intact actin cytoskeleton and mediated by cadherin-based cell-cell interactions. It is likely that stem cells are also responsive to such distributions in mechanical forces; the application of these tools to synthetic stem cell–niche engineering should prove fruitful. Overall, deconvolution of contributors of mechanically responsive signaling and the soluble factor signals that these directly or indirectly modulate (77) will require precise stem cell niche–engineering strategies.
Engineering physicochemical cues: oxygen and pH. Adaptive responses to hypoxia are required for development, facilitating oxygen and nutrient delivery to the rapidly growing embryo, and for the normal development and patterning of the cardiovascular system (reviewed in ref. 78). As a regulator of oxygen homeostasis, HIF induces a network of genes related to angiogenesis, erythropoiesis, and glucose metabolism. Hypoxic regions have been identified in the yolk sac mesoderm, in which HIF-1α and VEGF colocalize to induce blood vessel formation. These observations point to oxygen-regulated activation of growth factor signaling as an important component of hematopoietic niches associated with the emerging embryonic blood islands (areas of hematopoiesis in the AGM region). By encapsulating mouse ES cells in a hydrogel matrix and driving their hematopoietic differentiation under hypoxic conditions in bioreactors, it has been shown that the secreted form of VEGFR1 competes with VEGFR2 to control the extent and timing of VEGF-mediated signaling (79). This in vitro model has since been shown to be predictive of the temporal (stage of development) and microenvironmental (oxygen-dependent) events that occur in vivo during embryonic hematopoietic and endothelial development (80). Likewise, it has been shown that small molecules such as 5-fluorouracil, which is used as an anticancer drug, can interfere with ROS in HSCs (81). This drug suppresses N-cadherin expression, and its application to mouse HSCs is speculated to cause quiescent HSCs to detach from the stem cell niche. This effect was mitigated by administration of a potent antioxidant, N-acetyl cysteine, suggesting that ROS species regulate HSC retention in the stem cell niche.
Recently, a microscale device has been fabricated to regulate oxidative microgradients in culture (82). Using electrodes 3–40 μm in width within gas-permeable microchannels, precise doses of dissolved oxygen were administered via electrolysis. Biological implementation of this device was assessed by monitoring C2C12 myoblast (a skeletal muscle precursor cell line) apoptosis, due to localized hypoxia and calcium release due to ischemia. Controlling pH may also be important, as it has been demonstrated that small changes, up or down, in the pH of the medium provided to ES cells results in an approximately 50% decrease in the yield of cells capable of forming embryoid bodies (three dimensional spheroids of differentiating ES cells) (83). Ultimately, it is likely that control of oxygen and pH in artificial stem cell niches will require new sensor technologies, capable of cell-level measurement and control (84), enabling prospectively controllable links between cell signaling, gene regulation, and metabolic networks (85).
Predictions and regulation of network interactions among stem cell–niche components. A major limitation of the analysis and reconstruction of the stem cell niche using individual parameters is that the niche is a multicomponent system in vivo. The reason for this conceptual impediment is not due to a lack of insight, rather it is due to the complexity of generating such systems in vitro. From the above descriptions of the stem cell niche, it is clear that stem cell cultures in vivo and in vitro are complex, nonlinear, multiple-input, multiple-output systems, with considerable temporal and spatial heterogeneity. Extracellular interaction networks mediated through the secretion of cytokines and inhibitors among different cell types and intracellular communication pathways mediated through signaling pathway crosstalk require their own methods of measurement and characterization. With respect to measurement, molecular barcodes — unique tags capable of identifying several individual biological species — are emerging as an important tool for rapidly analyzing large numbers of locally produced biological molecules simultaneously. For instance, researchers have used quantum dot barcodes to measure factors and cells produced under controlled culture conditions (86). Applying such technologies to stem cell cultures will allow us to parse out intercellular communication networks established by the stem cells and their derivatives. Regarding characterization, systems biology approaches to studying interactions between stem cells and their niches, along with in silico modeling, have generated relevant network models capable of predicting whether a stem cell will self-renew or differentiate (29, 87, 88). These models can provide mechanistic insight into how stem cell–culture heterogeneity influences culture output, can be used to optimize culture output, and can predict how dysregulation may occur in malignancies (29, 89). Connecting extracellular signaling events to intercellular signaling and ultimately to changes in transcription and phenotype requires further effort. Pioneering studies connecting the activation of downstream transcription networks that regulate pluripotency in mouse ES cells to signaling cascades induced by factors that control self-renewal, such as leukemia inhibitory factor and BMP (90, 91), are an important step in this direction.
Extending stem cell–niche engineering to three dimensions poses additional challenges that once overcome can provide a closer mimicry of the in vivo microenvironment (92, 93). Controlling tissue morphogenesis is a feasible task in three dimensions but requires a scaffold that regulates the presentation of ligand, is sensitive to stimuli, provides structural support, and has the ability to induce cell migration or invasion into the scaffold (92). Additional complexity in the fabrication of three-dimensional stem cell niches may also be achieved by introducing either microfluidic (94) or photochemical (95) control over the generation of gradients in the scaffold. The use of such scaffolds in vivo is just beginning to be explored as a means to deliver stem cells or their derivatives; however, they provide an opportunity to use stem cell–niche engineering within a living organism (96).
A link between stem cells and certain cancers has been postulated through the cancer stem cell hypothesis, which supposes that tumor-initiating cells (CICs), those cells capable of reconstituting a tumor upon serial transplantation into another organism, descend either from stem cells or from their differentiated progeny that have acquired stem cell–like characteristics. Thus, the bulk of a tumor may consist of non-CICs, with only a subset of cells being required to propagate it. This hypothesis, if true, has implications for drug therapy, such that strategies that solely reduce the bulk of a tumor through the suppression of proliferation may reduce tumor size without removing the quiescent CICs. An ongoing area of research is how the physiological stem cell niche itself is modulated in cancer. Although it is clear that (stem) cell-intrinsic mutations are fundamental to tumor initiation, progression, and metastasis, the role of the normal or abnormal stem cell niche in regulating cell responses to these mutations is unknown and presents an open-ended question. The targeting of CIC-niche interactions is emerging as a promising area of therapy. Targeting the stem cell niche to support endogenous stem cell survival during chemotherapy and/or to enhance hematopoiesis after chemotherapy is also a possibility.
Candidate approaches to target interactions between the stem cell niche and either CICs or endogenous HSCs include the modulation of cytokine signaling, cell adhesion molecules, homing mechanisms, and niche support cells to regulate stem cell fate, position, and cell cycle status (Figure 4). For example, injection of mice with angiopoetin-1, the ligand for the Tie-2 receptor, induces HSC quiescence, thereby protecting them from myelotoxic drugs and allowing for greater survival after chemotherapy (97). In addition, knowledge that osteoblasts and parathyroid hormone are critical in the endosteal HSC niche has been used to develop ways to expand the number of osteoblasts, and consequently the number of resident HSCs capable of being mobilized to the peripheral circulation, and to increase the number of HSCs homing to the stem cell niche using standard bone marrow transplantation protocols (23). These treatments may provide ways to counteract the myelotoxic effects of chemotherapy.
Engineering and modulating the niche in vivo. This figure provides an overview of different clinically relevant strategies that may be used to manipulate the in vivo stem cell niche. Examples provided illustrate the molecular targeting of particular stem cell–niche interactions. CML, chronic myeloid leukemia; LSC, leukemic stem cell.
Targeting stem cell adhesion and homing has been successful in slowing leukemic progression in animal models. For instance, treating mice with hyaluronic acid (an extracellular component of the vascular HSC niche) after 5-fluorouracil administration improves the hematopoiesis-supportive function of bone marrow accessory cells, resulting in increased hematopoietic recovery and survival (98). In addition, neutralizing CD44 on so-called leukemic stem cells in mice with acute myeloid leukemia (AML) prevents them homing to the niche, thus preventing their self-renewal and maintenance (99, 100). Furthermore, using neutralizing antibodies specific for integrin α4β1 (also known as very late antigen-4 [VLA4]) in conjunction with cytarabine chemotherapy prevents the development of AML in a SCID xenograft transplantation model, by preventing the attachment of AML leukemic stem cells to fibronectin in the niche (101). Proteasome inhibitors have also been used to inhibit the migration of AML blasts to stromal cell–derived CXCL12 (102). These inhibitors have a dual effect, overcoming conventional drug resistance by directly inducing tumor cell cytotoxicity and inhibiting adhesion of multiple myeloma cells to the bone marrow. Furthermore, the CXCR4 antagonist AMD3465 has been shown to increase sensitivity to chemotherapy in promyelocytic leukemia after treatment with another drug (AMD3100) involved with normal HSC mobilization (103).
Targeting the “premetastatic” niche, an environment thought to recruit hematopoietic and endothelial precursors to a site of future metastasis before tumor cell invasion, has been achieved in some model systems (104). Formation of the premetastatic niche can be prevented in lung cancer via administration of a neutralizing VEGFR1-specific antibody (105). Likewise, antibodies specific for chemoattractants reduced migration of CICs to metastatic sites (106). Together, these examples demonstrate that several components of the niche lend themselves to therapeutic intervention in order to suppress tumor initiation and metastasis.
The potential uses of engineered stem cell niches in expanding the therapeutic options available for treating diseases are manifold. First, one can screen for new drug candidates that specifically target interactions between stem cells and their niche. For instance, high-throughput microenvironment microarrays have been used to identify 192 unique ECM combinations that trigger the differentiation of bipotential human mammary progenitor cells and control their ability to acquire certain molecular characteristics of cancer (107, 108). Using such combinatorial arrays in conjunction with small molecule screens and drug libraries will aid the drug discovery process and possibly identify factors that minimize malignant transformation and metastasis. Second, stem cell–niche engineering can be used to generate uniform cell populations from PSCs in vitro. These derivatives can then be used in direct transplantation (109). Several cell culture systems have been employed to improve homogeneity and direct the differentiation of stem cells into various cell types using microfabricated platforms (110, 111). Moving toward hybrid cell culture systems that use both microscale approaches to present ligand, ECM, and mechanical forces at the cellular level and macroscopic approaches, such as bioreactors (79) to control shear stress (112) and regulate oxygen tension (113, 114), should prove fruitful in cell therapy manufacturing. Third, targeting the in vivo stem cell niche for therapy beyond using drugs and small molecules may be possible by using microengineered substrates that act as artificial niches to which endogenous stem cells can home and attach. For instance, endogenous neural stem cells can migrate and graft onto laminin-coated substrates in vitro, and such engrafted scaffolds could be placed at the site of a spinal cord injury to help promote regeneration (115). Likewise, endothelial cells grafted onto synthetic materials before implantation have been shown to increase de novo blood vessel formation and density (116). The tools of stem cell–niche engineering may enable novel, minimally invasive strategies to treat disease.
The molecular mechanisms that govern stem cell fate are complex. Extrinsic control over these processes will require the correct macroscopic and microscopic cues to elicit desired behavior. Using a stem cell–niche paradigm to understand stem cell biology allows the complexity of the system to be broken down into individual components, including soluble signals, cell-substrate interactions, and cell-cell contacts. Several microscale approaches to regulate each of these variables have been employed, including ligand immobilization, surface patterning, ECM microarrays, and dynamic microscale cocultures. Multiplexed systems using a combination of these approaches are starting to emerge, with a greater number of basic scientists and clinical researchers taking an interest in moving the field toward therapies. In general, microscale technologies that regulate stem cell–niche parameters have reached the proof-of-principle stage, where a particular technique is shown to regulate stem cell behavior without deep mechanistic insight into how this approach regulates fate at the molecular level. Demonstrating how microscale approaches activate signaling pathways and modulate specific downstream transcription factors represents an important next step toward microenvironment-mediated cell fate (re)programming. The comprehensive exploration and exploitation of the stem cell niche and its components is an important aspect in using stem cells in regenerative medicine.
This work is funded by the Canadian Institutes of Health Research (CIHR) (MOP-57885), the Natural Sciences and Engineering Research Council (NSERC) of Canada, and the Canadian Stem Cell Network. We would like to thank Mark Ungrin, Geoff Clarke, Elizabeth Csaszar, and Dan Kirouac for critical review and comments on this manuscript. Images of microwells and microfluidic devices were provided by Mark Ungrin and Faisal Moledina, respectively. R. Peerani is a recipient of an NSERC Postgraduate Doctoral Scholarship (PGS D). P.W. Zandstra is the Canada Research Chair in Stem Cell Bioengineering.
Address correspondence to: Peter W. Zandstra, TD-CCBR Rm. 1116, 160 College Street, University of Toronto, Toronto, Ontario, Canada M5S 3E1. Phone: (416) 978-8888; Fax: (416) 978-2666; E-mail: Peter.zandstra@utoronto.ca.
Conflict of interest: The authors have declared that no conflict of interest exists.
Reference information: J. Clin. Invest.120:60–70 (2010). doi:10.1172/JCI41158
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