Developmentally-Inspired Engineering Of An Inductive Biomaterial for Odontogenesis A dissertation presented by Basma Hashmi to The School of Engineering and Applied Sciences in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the subject of Engineering Sciences Harvard University Cambridge, Massachusetts May 2014     © 2014 Basma Hashmi All rights reserved.     Professor Donald E. Ingber Basma Hashmi Developmentally-Inspired Engineering Of An Inductive Biomaterial for Odontogenesis Abstract Increasing demands for organ transplants and the depleting supply of available organs has heightened the need for alternatives to this growing problem. Tissue engineers strive to regenerate organs in the future; however doing so requires a fundamental understanding of organ development and its key processes. The first chapter of this thesis provides a brief overview of developmentally inspired engineering, specifically in the context of how I approach this challenge in this thesis. The second chapter provides an in depth review of current and past work focused on organ regeneration from a developmentally-inspired perspective, and using tooth formation as a model system. The third chapter describes the design and fabrication of a thermoresponsive polymer inspired by an embryonic induction mechanism, and demonstrates its ability to induce tooth differentiation in vitro and in vivo. This is effectively a 3D ‘shrink wrap’-like polymer sponge that constricts when it is warmed to body temperature and induces compaction of cells contained within it, hence recapitulating the mesenchymal condensation process that has been shown to be a key induction mechanism that triggers formation of various epithelial organs, including tooth in the embryo. The fourth chapter describes the fabrication of a novel microarray screening platform consisting of a unique set of ECM proteins (collagen VI, tenascin, and combination of the two at different coating densities) on an array of soft substrates (~130-1500 Pa) that are physiologically relevant to the embryonic microenvironment. iii   This technology demonstrated the capacity to analyze combinatorial effects of these ECM proteins and soft substrates on cell density, cell area and odontogenic differentiation in murine mandible embryonic mesenchymal cells. The fifth chapter of this thesis summarizes and discusses the advantages, limitations and future potential of the findings described in the previous two chapters in the context of organ engineering and regeneration. Taken together, the work and results presented in this thesis have led to the development of new insights, approaches and tools for studying organ formation and potentially inducing organ regeneration, which are inspired by key developmental mechanisms used during embryonic organ formation. iv   Table of Contents Chapter 1:Developmentally Inspired Engineering ............................................................1 Introduction ...................................................................................................................1 References ....................................................................................................................3 Chapter 2: Developmentally-Inspired Regenerative Organ Engineering: Tooth as a Model ................................................................................................................................4 Introduction ...................................................................................................................5 Understanding Generation for Regeneration Strategies: A Tooth Model .....................5 Epithelial-Mesenchymal Interactions During Odontogenesis........................................7 ECM and Mechanical Forces as Regulators of Organogenesis .................................14 Engineering Approaches for Tooth Organ Regeneration............................................16 Conclusion ..................................................................................................................19 References ..................................................................................................................21 Chapter 3: Developmentally-Inspired Shrink-Wrap Polymers for Mechanical Induction of Tissue Differentiation ......................................................................................................28 Experimental Methods ................................................................................................42 References: .................................................................................................................46 Chapter 4: A Combinatorial Mechanochemical Microarray for Identification of Differentiation-Inducing Extracellular Matrix Materials ...................................................49 Materials and Methods ................................................................................................53 Results and Discussion ...............................................................................................58 References ..................................................................................................................67 Chapter 5: Conclusion ....................................................................................................71 References: .................................................................................................................74 Supplementary Figures and Videos ...............................................................................76 v   Acknowledgements In the Name of God, The Most Gracious, The Most Merciful I thank God, first and foremost, for blessing me with such an amazing and beautiful academic experience at Harvard. I thank my advisor, Donald Ingber, for his unwavering guidance, support and advice throughout my PhD. Thank you so much for believing in me, encouraging my passion to challenge the impossible in research and academia. It’s been an absolute honor and enriching learning experience being your student. I thank my past and current committee members, Dr. Fawwaz Habbal, Professors David Mooney, Ali Khademhosseini, and Neel Joshi. Thank you so much for your invaluable advice and for those pep talks when they were much needed. I thank my collaborators from the Ingber, Aizenberg and Khademhosseini lab: Tada Mammoto, Akiko Mammoto, Amanda Jiang, Professor Joanna Aizenberg, Lauren Zarzar, Keekyoung Kim, and Jalil Zerdani. Thank you for an enriching experience in helping produce such amazing scientific publications. I thank all the staff, faculty and students at the Wyss Institute and Ingber lab, it was truly lovely interacting and even working with some of you. I thank the administrative staff at the Wyss, specifically, Jeannie Nisbet, for going out of her way and working with me side by side to gather some of the world’s most brilliant minds in one room for my meetings, and for being genuinely helpful and caring always. Last but not the least, I thank my family and buzoorgs: Abbu, Ammi, Sahar, Saira, Ibrahim, Maliha, Nada, Bibi Jaan, Mian Bhai, and Qadri Uncle. Thank you for being my inspirations, thank you for your unending love, thank you for everything. Thank you Abbu and Ammi for sharing those inspirational stories of your academic vi   pursuits from back in the day. Thank you so much for supporting me accomplish this dream of mine. Finally, I would like to send my sincerest and deepest salutations, peace and God’s blessings upon Sayidna Muhammad Peace Be Upon Him, his family and companions, Peace Be Upon Them All. Sallo Alan Nabi Sallalaho Alayhi Wa Salam. vii   To My Parents, Dr. Nasim A. Hashmi and Aisha Hashmi, My Pyaray Abbu Ammi viii   Chapter 1:Developmentally Inspired Engineering Introduction Organ transplantation remains the major means of replacing lost or severely damaged human organs. However, while the demand for organ transplants continues to grow, the supply can not satisfy this need [1]. To combat this growing problem, Tissue Engineers have strived to design and fabricate synthetic scaffolds that can guide tissue repair, and potentially organ regeneration. Current approaches rely on use of scaffolds composed of synthetic polymers, many of which were originally used for suture materials or non-medical applications, which are coated with extracellular matrix (ECM) adhesive ligands to support cell adhesions. While many different polymer types and configurations have been explored, and there are some tissue engineered constructs approved for clinical use, there have been far more failures than successes in this field. Most of the tissue engineering scaffolds in the past were designed to mimic the structure of the adult organs which they were designed to replace. My dissertation is based on the hypothesis that we might be able to engineer more effective tissue engineering scaffolds by leveraging design principles that govern how these organs first form in the embryo. With this long-term goal in mind, I have focused on engineering of the tooth organ as a model system. The tooth is ideal for this type of study because of the relative simplicity of its development compared to other organs (e.g., kidney, liver, cartilage, etc.) that similarly rely on a common initiating mechanism that involves a ‘mesenchymal condensation’. This process is when undifferentiated mesenchyme in the early embryo are triggered developmentally to spontaneously cluster together to 1   form a compact cell mass directly beneath where the first epithelial bud of a new organ (e.g., tooth or liver) will form. The Ingber laboratory in which I carried out my dissertation research recently delineated how mesenchymal condensation is controlled during tooth development, and they discovered that physical compression of the cells during this compaction triggers expression of genes encoding transcription factors that drive tooth development, a process known as ‘odontogenesis’ [2]. Inspired by this newly defined principle that governs tooth development, I set out to design and fabricate synthetic polymer scaffolds that mimic this mechanical actuation mechanism to artificially engineer tooth formation. Thus, I begin this dissertation in Chapter 2 with an in depth review of organ regeneration from a developmental perspective, with a specific focus on the mesenchymal condensation process. In Chapter 3, I describe the experimental studies I completed that resulted in the fabrication of a thermoresponsive ‘shrink wrap’-like polymer scaffold, which mechanically actuates mesenchymal condensation of embryonic murine mesenchymal cells when warmed to body temperature. I show that this developmentally-inspired polymer scaffold induces these compressed mesenchymal cells to undergo tooth differentiation in vitro and form mineralized tissues in vivo. In Chapter 4, I describe additional studies I carried out using a modified microarray printing technology to create ECM substrates that vary in their chemistry and mechanics in a controlled manner. These substrates were specifically designed to present a range of mechanical properties (stiffnesses) with greater compliance than any created with this approach in the past to specifically recapitulate the flexibility of embryonic inductive tissues. I show that this technique can be used to screen for 2   combinations of ECM chemistry and mechanics that produce enhanced induction of tooth differentiation in mesenchymal cells in vitro, and hence that might be useful for identification of tissue engineering scaffold design criteria in the future. Finally, in Chapter 5, I summarize the general conclusions that I have gathered from these studies and discuss the future implications of my findings. Please note that Chapter 2-4 are manuscript versions of articles of mine that are respectively in press [3], recently published [4], or soon submitted for publication (manuscript and figures are reprinted with permission from the publishers). References [1] [2] Bruno Gridelli, M.D., and Giuseppe Remuzzi M. Strategies for Making More Organs Available for Transplantation. N Engl J Med 2000;343:404–10. Mammoto T, Mammoto A, Torisawa Y, Tat T, Gibbs A, Derda R, Mannix R, de Bruijn M, Yung C, Huh D and Ingber D. Mechanochemical control of mesenchymal condensation and embryonic tooth organ formation. Dev. Cell 2011; 21:758-769. Hashmi B, Mammoto T, and Ingber DE. Developmentally-Inspired Regenerative Organ Engineering: Tooth as a Model. In: Vishwakarma, A, Sharpe P, Shi S, Wang X-P, and Ramalingam M, eds. Stem Cell Biology and Tissue Engineering in Dental Science. Elsevier – in press. Hashmi B, Zarzar L, Mammoto T, Mammoto A, Jiang A, Aizenberg J, and Ingber DE. Developmentally-Inspired Shrink-Wrap Polymers for Induction of Tissue Differentiation. Adv. Materials 2014; Feb 18 [Epub ahead of print]. [3] [4] 3   Chapter 2: Developmentally-Inspired Regenerative Organ Engineering: Tooth as a Model The following chapter is a reproduction of a book chapter I wrote recently for the upcoming book Stem Cell Biology and Tissue Engineering in Dental Science and is currently in press. It has been reproduced with permission. Hashmi B, Mammoto T, and Ingber DE. Developmentally-Inspired Regenerative Organ Engineering: Tooth as a Model. In: Vishwakarma, A, Sharpe P, Shi S, Wang X-P, and Ramalingam M, eds. Stem Cell Biology and Tissue Engineering in Dental Science. Elsevier – in press. Copyright © 2014 Elsevier ________________________________________________________________ Abstract Due to rising demands and increasing shortages in organ transplantation, tissue engineers continue to actively investigate methods that could potentially induce organ regeneration in the future. Most engineering approaches attempt to recreate lost organs by using scaffolds that mimic the structure of the adult organ. However, tooth organ formation in the embryo results from complex interactions between adjacent epithelial and mesenchymal cells that produce whole teeth through sequential induction steps and progressive remodeling of increasing complex three-dimensional tissue structures. Using the tooth as a model and blueprint for regenerative organ engineering, this chapter reviews the key role that epithelial-mesenchymal interactions, associated mesenchymal condensation and mechanical forces play in odontogenesis in the embryo. We also discuss dental engineering strategies currently under development that are inspired by this induction mechanism, which employ extracellular matrix proteins and mechanically active polymer scaffolds to induce tooth formation in vitro and in vivo. Keywords: tooth, odontogenesis, regeneration, tissue engineering, organ engineering, polymer scaffold, mesenchymal condensation, epithelial-mesenchymal interactions 4   Introduction Organ transplantation continues to pose a major problem worldwide[1]. More than 100,000 patients require organ transplantation every year in the U.S. alone; however, due to a supply-demand imbalance, close to 20 humans die every day while waiting for organ transplants. For this reason, the ultimate goal in the fields of Tissue Engineering and Regenerative Medicine is regenerate whole organs in order to restore lost physiological and structural functions. Existing regenerative engineering approaches commonly rely on the use of tissue-specific cells from adult tissues or multipotential stem cells, either alone or in combination with three-dimensional (3D) adhesive scaffolds that mimic the microstructure of the organ that is to be replaced or repaired[2,3]. Significant progress has been made in producing biomaterials to repair simple tissues (e.g., skin, cartilage or bone)[4,5]; however, these approaches still remain limited in achieving complete organ regeneration. One of the major challenges in this field is that existing tissue engineering approaches are focused on rebuilding adult tissues rather than recapitulating the way in which organs initially form (i.e., in the embryo). Therefore, it is important to identify the key factors and control processes that govern embryonic organ, and to leverage them to develop more effective design criteria for organ engineering strategies. Understanding Generation for Regeneration Strategies: A Tooth Model One of the simplest model systems for studying mammalian organ formation is the tooth, which is an organ responsible for mastication. The tooth, like other organs, is compromised of epithelium, connective tissue, nerves, blood vessels, ligaments as well as specialized extracellular matrix (ECM), in this case, the hard, bone-like covering 5   tissues of the tooth dentin and enamel. However, the simplicity of this organ makes it an excellent model for studying and understanding organ regeneration. As in the development of many other epithelial organs, the tooth forces through reciprocal interactions between the epithelium and mesenchyme that lead to condensation of the mesenchyme and subsequent budding and differentiation of the overlying epithelium to form the complex structure of the organ [6–9]. However, the simplicity of the budding process makes tooth especially amenable to experimental analysis. If we could uncover the principles necessary to regenerate a fully functionally tooth, it would likely also have important implications for engineering other epithelial organs that utilize similar developmental processes, such as bone, cartilage, kidney, pancreas, and heart. Apart from understanding and attempting to engineer organ regeneration in the lab, tooth regeneration is of critical importance for dental medicine. Teeth ailments can range from simple dental caries to more serious genetic defects, such as agenesis (the failure to form teeth), the effects of which can be physically and mentally debilitating[10].In fact, missing teeth are one of the most common developmental problems in children who are not eligible for dental implants. This is because their jawbones are immature and actively growing; as a result, 20% of children aged 9 to 11 have one or more missing permanent teeth in the United States[11]. Thus, development of a tissue engineering approach that could effectively regenerate teeth could have a significant positive impact on clinical dentistry. Many of the genes and chemical cues that mediate tissue and organ development have been identified; however, these signals alone are not sufficient to explain how tissues and organs are constructed so that they exhibit their unique 6   material properties and 3D forms. It is becoming clear that organ development is a mechanochemical process in which masses of cells are shaped into functional organs through reciprocal physical and chemical interactions between epithelial and mesenchymal tissues, and this is particularly evident in the key role that mesenchymal cell compaction plays during tooth organ induction[6,7,12]. Recently a new class of multifunctional biomaterials was developed with unique mechanical actuation capabilities that can recapitulate key developmental biological events that occur during the mesenchymal condensation response, which are required for induction of tooth tissue and organ formation in the embryo[8]. This biologically-inspired engineering approach recapitulates key developmental processes synthetically. Thus, in this chapter, we will discuss the how an increased understanding of developmental biology is being leveraged to develop entirely new biomaterials and engineering approaches for regenerative dental medicine. Epithelial-Mesenchymal Interactions During Odontogenesis Embryonic organ formation is a mechanochemical process in which masses of cells are shaped into functional organs through reciprocal interactions controlled by mechanical as well as chemical cues[6,7]. This is evident in the inductive tissue interactions between apposed epithelial and mesenchymal tissue layers that are responsible for directing formation of many organs during vertebrate development[9]. For example, during the formation of many epithelial organs (e.g., tooth, lung, pancreas, kidney, heart valve, breast, salivary gland, bone, cartilage and hair follicle), instructive signals provided by the epithelium are transferred to the mesenchyme through key morphogenetic movements that result in a dense packing of mesenchymal cells, or 7   what is known as ‘mesenchymal condensation’. Classic and recent embryological studies have shown that this process is crucial for the formation of many organs[9,13– 16]. Odontogenesis, or tooth organ formation, provides one of the simplest examples of how this fundamental development control mechanism works. Physical compaction of the early dental mesenchymal cells shifts the inductive capacity for odontogenesis from the dental epithelium to the mesenchyme in vitro[12]. Specifically, during embryonic days 10 to 12 (E10-12) in the mouse, the initial “potential” for tooth formation resides within the dental epithelium, as heterotopic recombination of this epithelium with undifferentiated embryonic mesenchyme or with adult bone marrow-derived mesenchymal stem cells (aMSCs), results in formation of a differentiated tooth containing roots, dentin and enamel when the tissue recombinant is implanted into living mice[17,18]. However, by E13, the dental epithelium’s inductive power is transferred to the previously undifferentiated dental mesenchyme, which is then capable of stimulating adjacent undifferentiated epithelium to form a tooth[19]. Moreover, this inductive mesenchyme also appears to contain all of the information necessary to induce formation a whole tooth even when combined with epithelium isolated from non-dental buccal regions from adult mouse and implanted in vivo[12]. As epithelial-mesenchymal interactions are crucial for tooth organ formation, it is critical to understand how this process works in the embryo in order to apply these principles to organ engineering. Studies carried out fifty years analyzing tooth development first identified the odontogenic developmental capabilities of the epithelium and mesenchyme, and these investigators even attempted to regenerate a tooth in 8   vitro[20–25]. For example, when the oral epithelium and mesenchyme from day 20 gestation white rabbits were reconstituted in the highly vascularized chick chorioallantoic membrane, formation of dentin-enamel junctions resulted[25]. However, it wasn't until nearly two decades later that the inductive capability of the oral embryonic epithelium was first identified by demonstrating the ability of mandibular epithelium isolated from mouse embryos to stimulate an odontogenic response in non-dental mesenchyme[17]. Interestingly, the dental epithelium starts losing this inductive ability after E12, and there is a concomitant increase in the ability of the dental mesenchyme to induce whole tooth formation when recombined with non-dental epithelium and implanted in vivo[19]. These findings suggest that the early (37°C (DM Cells in NonContracted Gel), and a contracted GRGDS-PNIPAAm gel containing DM cells (DM Cells in Contracted Gel) when implanted for 2 weeks under the kidney capsule of a mouse. Sections were stained with (a) Hematoxylin and eosin (H&E) or (b) Alizarin Red S, or analyzed for (c) Alkaline Phosphatase (ALP) activity; arrow indicates a new capillary sprout (bar, 100 µm). 39   Histological analysis of these implants after 2 weeks revealed that only the contracted gel containing cells implanted within the shrink wrap GRGDS-PNIPAAm polymer induced neovascularization (Figure 3.4a), and physical compaction of the DM cells could be detected in vivo (Supplementary Figure S7). Staining with Alizarin Red S and alkaline phosphatase (ALP) revealed that only the implants containing cells within contracted GRGDS-PNIPAAm gels were positive for deposition of calcium and mineralization, respectively (Figure 3.4b-c), which are indicative of later stages of tooth formation [1,16,27,28]. In contrast, neither mineralization nor vascularization was observed when the cell pellet or gel was implanted alone, or when the higher LCST gel (that did not contract at 37°C) with DM cells was implanted (Fig. 3.4b-c). Taken together, these results clearly demonstrate that mechanical compression of DM cells within the contracting gel was required fort he induction of the mineralization and vascularization we observed. These findings confirm that a developmentally-inspired biomimetic scaffold that induces mesenchymal condensation mechanically can potentially be used to therapeutically stimulate cell and tissue differentiation in vitro as well as in vivo. In past studies, we showed that physical compression of cells during the mesenchymal condensation process is the key signal that triggers tooth formation, and that this is mediated by cell shape-dependent changes in the expression of two key odontogenic transcription factors (Pax9 and Msx1) and one important morphogen (Bmp4) [1]. The results of the present study confirm that physical compaction of dental mesenchymal cells is indeed the key regulator of this tooth differentiation pathway. Responsive polymers have been previously used for controlled release of drugs and cells [19,29], 40   and PNIPAAm has been employed to control cell adhesion and release tissues from substrates after they have formed [30]. But to our knowledge, this is the first study demonstrating the use of a responsive polymer, such as PNIPAAm, to induce tissue differentiation specifically by mechanically actuating a cell compaction response. It is also the first to promote tissue engineering by mimicking a developmental organ induction response. We only focused on the effects of polymer shrinkage-induced compression of dental mesenchymal cells on tissue differentiation in the present study because inclusion of dental epithelial cells would have complicated our analysis. However, previous work has shown that induced dental mesenchymal cells must be recombined with dental epithelial cells in order to produce fully formed teeth in vivo. [1,28] Thus, tissue recombination studies should be explored in the future to fully define the value of this approach for organ engineering applications. Many other organs require mesenchymal condensation for their induction and formation, including salivary gland, pancreas, kidney, bone, and cartilage, [12-16] and so these inductive polymer gels could have value for engineering of many tissues. Mechanically actuating polymer systems potentially could be used to suppress cancer growth as past studies have shown that tumor expansion can be accelerated or suppressed by altering tissue mechanics and cell distortion [31,32]. Thus, this shrink wrap polymer strategy will likely have broad applications for tissue engineering, regenerative medicine, and clinical therapy as well as value for basic research aimed at understanding and manipulating organ formation and regeneration. 41   Experimental Methods Experimental System: Our methods for separation of dental mesenchyme from dental epithelium of embryonic mouse mandible have been published [1]. In brief, embryos were removed from timed pregnant CD1 mice at E10 and the molar tooth germ was microdissected free under a dissecting microscope. To separate the dental mesenchyme from the epithelium, the tissues were incubated with Dispase (2.4U/ml) with DNase in Ca2+-Mg2+ free PBS for 20-30 min at 37°C [1]. The tissues were then washed in 10% FBS DMEM, and the epithelium was mechanically pulled free from the dental mesenchyme using fine forceps. Cells from remaining E10 dental mesenchyme were cultured in 10% FBS DMEM in T-75 tissue culture flasks, with medium changed every 2-3 days; all studies were carried with dental mesenchymal cells that were cultured for less than 12 passages. Hydrogel Fabrication: N-acryloxysuccinimide (NAS), N-isopropylacrylamide (NIPAAm), and N,N’-methylenebisacrylamide (BIS) were purchased from Sigma Aldrich; ammonium persulfate (APS) was purchased from Mallinckrodt; tetramethylethylenediamine (TEMED) was purchased from Calbiochem, sodium bicarbonate was purchased from Sigma Aldrich, and GRGDS peptide was purchased from Bachem Biosciences. All were used as received except for the NIPAAm, which was recrystallized from hexane. The lyophilized acrylate-modified GRGDS was redistributed in hydrogel precursor (10% NIPAAm, 1% BIS w/v in deionized water). The concentration used was determined experimentally to produce gels with a desired LCST ≈36°C. To make a hydrogel scaffold, the peptide/gel precursor (50 µL) was placed in the (1 cm) diameter 42   well of a MatTek glass bottom dish, then aqueous APS solution (4 µL, 10% w/v) was added, followed by TEMED (0.5 µL) and stirring. Gelation occurred within a minute. Gels were transferred to a water bath where they were left for 3 days at 4°C to allow any unreacted monomers and initiators to diffuse out of the gel. Each hydrogel was then transferred individually to a centrifuge tube (15 mL) filled partially with water, frozen (80°C), and lyophilized. Hydrogel characterization was carried out using differential scanning calorimetry (TA Instruments DSC Q200) and the LCST was determined to be ≈36°C. For fabrication of gels with a LCST greater than 37°C, the same protocol was followed, except that the concentration of GRGDS peptide was doubled. Scans were performed at a rate of (5°C/min). For scanning electron microscopy (SEM), dry samples were sputter coated with Au/Pd prior to imaging on a JEOL JSM 639OLV SEM. Peptide Modification: GRGDS was modified with an acrylate moiety on the N-terminus to allow copolymerization into the hydrogel scaffolds. GRGDS (6.25 mg) was dissolved in (6 mL) sodium bicarbonate buffer (pH=8.2) and stirred in a round bottom flask while a solution of NAS (0.02g NAS in 3 mL of sodium bicarbonate buffer) was added dropwise. The solution was stirred in the dark for 2.5 hours at room temperature. The solution was dialyzed for 3 days at 4°C against deionized water with frequent bath changes to remove unreacted NAS (Spectra/Por Float-A-Lyzer G2, 10 mL, 0.1-0.5 kD MWCO cellulose ester membrane) and the product was lyophilized. Cell Seeding: Upon polymerization, the GRGDS-PNIPAAm gels were sterilized by being washed with 70% Ethanol-PBS, PBS, and then subsequently submerged in 10% FBSDMEM at 25°C. Dental mesenchymal cells were then trypsinized and injected in the hydrogel using a (25 guage) syringe needle at room temperature. The hydrogels with 43   the injected cells were placed overnight in a 34°C incubator under 5% CO2 to allow for cell adhesion to occur. These hydrogels were then subsequently shifted to a 37°C incubator under 5% CO2 to induce their contraction. They were maintained under these conditions overnight for in vitro quantitative PCR assays and a period of 1-3 weeks for cell viability assays and fluorescence imaging. Functional Assays: Cells in PNIPAAm hydrogels were stained using the Live/Dead Viability/Cytotoxicity Kit for mammalian cells (Invitrogen) according to protocols provided. For Alkaline Phosphatase (ALP) activity and Alizarin Red S staining, cryosectioned samples on slides were rinsed with calcium and magnesium negative Phosphate Buffer Solution (PBS, Gibco Life Technologies) three times. Samples were then covered in 5Bromo-4-chloro-3-indolyl Phosphate/Nitroblue Tetrazolium (BCIP/NBT) Liquid Substrate (0.692 mM/L BCIP; 0.734 mM/L NBT) (MP Biomedicals LLC) solution for ALP staining, or in Alizarin Red S powder (20 mg, Sigma Aldrich) mixed with deionized water (20 mL) and adjusted to (pH 6.3). Samples were then rinsed with PBS three times again prior to subsequent mounting and imaging Quantitative PCR: Quantitative PCR was performed to analyze changes in expression levels of key odontogenic regulatory molecules, as previously described [1]. Pax9 antibodies also were purchased from Abcam (Cambridge MA) and corresponding secondary antibody from Invitrogen (Life Technologies). Sectioning, Analyses, Imaging: Our methods for cryosectioning, histological analysis, hematoxylin and eosin (H&E) staining, immunohistochemistry (IHC), confocal microscopy, fluorescent miscroscopy, computerized image analysis have been 44   previously published [1-4]. Anti-Ki-67 antibody was purchased from Abcam (Cambridge MA) and corresponding secondary antibody from Invitrogen (Life Technologies). In brief, an inverted laser scanning confocal microscope (Leica SP5XMP, Buffalo Grove, IL, USA) with acquisition of multiple z-stack sections as well as an inverted fluorescent microscope (Zeiss Axio Observer Z12) with z-stack sections and color camera microscope (Zeiss Axio Zoom V16) were used for imaging and aquisition of time-lapse videos. ImageJ software (NIH Bethesda MD) was used for cell area morphometric analysis. Bitplane Imaris 7.6 F1with Huygens Deconvolution software was used to 3D render the confocal microscope time-lapse and cell volumetric images over time. Animal Experiments: All animal studies were approved by the Animal Care and Use Committee of Children’s Hospital Boston. For in vivo experiments, gels placed in a 34°C incubator under 5% CO2 overnight were implanted under the kidney capsule [5,6] and histological analyses were performed 14 days after the implantation, as previously described [1]. Statistical Analyses: Students’ t-test was used for cell size (projected cell area) comparison and qPCR results. Results are presented in mean +/- the standard error of the mean unless otherwise stated. References from Experimental Section [1] T. Mammoto, A. Mammoto, Y. S. Torisawa, T. Tat, A. Gibbs, R. Derda, R. Mannix, M. de Bruijn, C. W. Yung, D.Huh, D. E. Ingber, Dev. Cell 2011, 21, 758-69. [2] C. S. Chen, M. Mrksich, S. Huang, G. M. Whitesides, D. E. Ingber, Science 1997, 276, 1425-1428. [3] Y. Numaguchi, S. Huang, T. R. Polte, G. S. Eichler, N. Wang, D. E. Ingber, Angiogenesis 2003, 6, 55-64. 45   [4] T. Mammoto, A. Jiang, E. Jiang, D. Panigrahy, M.W. Kieran, A. Mammoto, Am J Pathol 2013, 183, 1293-305. [5] A. Ohazama, S. A. Modino, I. Miletich, P. T. Sharpe, J. Dent. Res. 2004, 83, 518-22. [6] K. Nakao, R. Morita, Y. Saji, K. Ishida, Y. Tomita, M. Ogawa, M. Saitoh, Y. Tomooka, T. Tsuji, Nat. Methods 2004, 4, 227-30. Acknowledgements This work was conducted with support by grants from the NIH Common Fund (RL1DE019023 to D.E.I.), the Wyss Institute for Biologically Inspired Engineering at Harvard University, and partially from the DOE BES (DE-SC0005247 to J.A.). We would like to thank E. Jiang and M. Kowalski for their technical assistance and T. Ferrante for assistance in imaging. References: [1] T. Mammoto, A. Mammoto, Y. S. Torisawa, T. Tat, A. Gibbs, R. Derda, R. Mannix, M. de Bruijn, C. W. Yung, D.Huh, D. E. Ingber, Dev. Cell 2011, 21, 758-69. [2] E. S. Place, N. D. Evans, M. M. Stevens, Nat. Mater. 2009, 8, 457-70. [3] N. Huebsch, D. J. Mooney, Nature 2009, 462, 426-32. [4] A. G. Jacobson, Science 1966, 152, 25-34. [5] C. Grobstein, Natl. Cancer Inst. Monogr. 1967, 26, 279-99. [6] M. Bernfield, S. D. Banerjee, J. E. Koda, A. C. Rapraeger, Ciba Found. Symp. 1984, 108, 179-96. [7] J. B. Gurdon, Development 1987, 99, 285-306. [8] L. Saxén, I. Thesleff, Ciba Found. Symp. 1992, 165, 183-92. [9] J. Jernvall, I. Thesleff, Mech. Dev. 2000, 92, 19-29. [10] M. Mina, E. J. Kollar, Arch. Oral Biol. 1987, 32, 123-7. [11] M. Bei, K. Kratochwil, R. L. Maas, Development 2000, 127, 4711-8. 46   [12] C. Grobstein, Nature 1953, 172, 869-70. [13] N. Golosow, C. Grobstein, Dev. Biol. 1962, 4, 242-55. [14] M. M. Smith, B. K. Hall, Biol. Rev. Camb. Philos. Soc. 1990, 65, 277-373. [15] B. K. Hall, T. Miyake, Anat. Embryol. 1992, 186, 107-24. [16] I. Thesleff, A. Vaahtokari, A. M. Partanen, Int. J. Dev. Biol. 1995, 39, 35-50. [17] H. Tekin, M. Anaya, M. Brigham, C. Nauman, R. Langer, A. Khademhosseini, Lab Chip 2010, 10, 2411-18. [18] H. Tekin, J. G. Sanchez, C. Landeros, K. Dubbin, R. Langer, A. Khademhosseini, Adv. Mater. 2012, 24, 5543-47. [19] L. Klouda, K. R. Perkins, B. M. Watson, M. C. Hacker, S. J. Bryant, R. M. Raphael, F. K. Kasper, A. G. Mikos, Acta Biomater. 2011, 7, 1460-7. [20] D. Schmaljohann, Adv. Drug Deliv. Rev. 2006, 58, 1655-70. [21] H. G. Schild, Prog. Polym. Sci. 1992, 17, 163-249. [22] L. Klouda, A. G. Mikos, Eur. J. Pharm. Biopharm. 2008, 68, 34-45. [23] D. L. Hern, J. A. Hubbell, J. Biomed. Mater. Res. 1998, 39, 266-76. [24] U. Hersel, C. Dahmen, H. Kessler, Biomaterials 2003, 24, 4385-415. [25] X. B. Yang, H. I. Roach, N. M. P. Clarke, S. M. Howdle, R. Quirk, K. M. Shakesheff, R. O. C. Oreffo, Bone 2001, 29, 523-31. [26] I. Thesleff, Acta Odontol. Scand. 1998, 56, 321-5. [27] I. Thesleff, J. Cell Sci. 2003, 116, 1647-48. [28] A. Ohazama, S. A. Modino, I. Miletich, P. T. Sharpe, J. Dent. Res. 2004, 83, 518-22. [29] X. Zhao, J. Kim, C. A. Cezar, N. Huebsch, K. Lee, K. Bouhadir, D. J. Mooney, Proc. Natl. Acad. Sci. U.S.A 2011, 108, 67-72. [30] H. Takahashi, N. Matsuzaka, M. Nakayama, A. Kikuchi, M. Yamato, T. Okano, Biomacromolecules 2012, 13, 253-60. [31] K. R. Levental, H. Yu, L. Kass, J. N. Lakins, M. Egeblad, J. T. Erler, S. F. Fong, K. Csiszar, A. Giaccia, W. Weninger, M. Yamauchi, D. L. Gasser, V. M. Weaver, Cell 47   2009, 139, 891-906. [32] M. J. Paszek, V. M. Weaver, J. Mammary Gland Biol. Neoplasia 2004, 9, 325-42. 48   Chapter 4: A Combinatorial Mechanochemical Microarray for Identification of Differentiation-Inducing Extracellular Matrix Materials The following chapter describes a soon to be submitted study I have done in colloboration with Keekyoung Kim, Jalil Zerdani, Ali Khaddemhosseini and Donald E. Ingber of which I am the lead author. ________________________________________________________________ Abstract Microarray printing technologies have been adapted for tissue engineering applications to screen for synthetic polymers or ECM components that exhibit enhanced differentiation-inducing properties. Similar approaches have been used to screen for differences in substrate mechanical properties that differ in their differentiation-inducing behavior; however, the stiffness range explored was limited to more rigid domains that are not relevant for engineering of many cells, such as stem cells and embryonic mesenchymal cells. Here, we describe the development of a polyacrylamide (PAA) gel microarray platform created with a robotic spotting machine that permits analysis of cell behavior when adherent to ECM islands with defined chemistry and a more physiologically relevant range of mechanical compliance than described previously. To demonstrate proof-of-principle, we used this combinatorial screening method to determine the effects of various combinations of different ECM formulations (collagen VI and tenascin at different concentrations, alone or combined) and substrate stiffnesses (~130 to 1500 Pa) on induction of tooth differentiation in cultured embryonic mesenchymal cells. These studies revealed that the stiffest ECM islands with the lowest collagen VI coating density 49   induced a higher degree of tooth differentiation than the other material combinations tested, and that tenascin was much less effective on the flexible ECM islands than when coated on a rigid glass substrate. This screening platform may be useful for the selection of tooth-inducing biomaterials, and more generally, for identification of materials that produce desired effects on cell differentiation or function based on their unique mechanical and chemical properties. Keywords: extracellular matrix, microarray, combinatorial screening, mechanics, polyacrylamide gel, differentiation, tooth 50   Introduction Microarray printing technologies initially developed for genome-wide gene profiling have been adapted for tissue engineering applications by depositing multiplexed arrays of different synthetic polymers or extracellular matrix (ECM) molecules, making it possible to identify biomaterials that have enhanced abilities to promote cell differentiation or direct stem cell fates [1–5]. Development of synthetic scaffolds for tissue engineered initially focused on optimization of the chemical composition, spatial arrangement and biodegradability of these materials, while providing appropriate ECM ligands to support cell adhesion and function [6,7]. However, mechanical forces conveyed to cells through their ECM adhesions contribute significantly to control of tissue and organ development in the embryo, as well as tissue regeneration during wound healing [8]. This has led to development of synthetic biomaterials for tissue engineering with unique mechanical properties designed to improve formation of specialized tissues. For example, ECM substrates with different mechanical properties have been fabricated and shown to produce stiffness-specific effects on cell functions (e.g., motility, growth, contractility), stem cell differentiation, and angiogenesis [8–11]. But mechanical and chemical cues interplay in a complex manner during development because cells sense these signals simultaneously in the living tissue microenvironment, and changes in ECM mechanics that alter cell shape and tension regulate cell fate switching by modulating sensitivity to both adhesive signals and soluble factors [12–14]. The effects of ECM microenvironments have been explored using microarray printing technology due to its economic benefit in preserving time, volume of 51   materials being utilized, and producing results efficiently [15]. Others have utilized this system to determine the mechanical properties of a large biomaterials library[16]. However, current printing technologies are limited in terms of their ability to print soft mechanical substrates that are required for studies of induction[17–19], and it has been difficult to vary ECM type, density and mechanics in the same microarray printed materials. For example, in studies with microspotted islands of fibronectin, the most flexible islands fabricated were in the kPa range [5], which is an order of magnitude greater than the stiffness of natural living tissues such as the mammary gland, brain, liver, etc [20]. Thus, we set out here to develop a system that could microprint ECM islands of defined chemistry and greater mechanical compliance, and we focused on engineering materials that could mimic embryonic induction events as a proof-ofprinciple. We focused on embryonic tooth formation (odontogenesis) as a model system because recent work has identified that organ induction is controlled mechanically in this system [21,22], and there are good markers of tooth differentiation, such as expression of the odontogenic transcription factor Pax9 [21– 24]. Two ECM proteins known to be present in the condensed mesenchyme during tooth development at the onset of epithelial budding, Collagen VI and tenascin, also have been suggested to play an important role in the tooth formation process [21,25– 27]. This model is also clinically relevant because hypodontia, which is associated with early tooth loss or agenesis, is a significant problem in children where it is difficult to obtain stable dental implants due to active jaw growth [28–30]. 52   Materials and Methods ECM Microarray Preparation Standard microscope 25 x 75 mm glass slides (Thermo Fisher Scientific, Waltham, MA) cleaned with concentrated sodium hydroxide solution to produce a smooth, residue free glass surface were dried and coated with 3-(trimethoxysilyl) propyl methacrylate (TMSPMA) (Sigma-Aldrich, St. Louis, MO) at 80°C overnight to provide a hydrophobic methacrylate-functionalized surface. To create a thin PAA pad (500 µm), a drop (167 ul) of liquid PAA solution [40% acrylamide (BioRad, Hercules, CA), 2% bisacrylamide (BioRad, Hercules, CA) in varying ratios [31,32] along with the free radical initiators, 50 ug/ml of 10% ammonium persulfate (Sigma-Aldrich, St. Louis, MO) and 5 ug/ml TEMED (BioRad, Hercules, CA) was placed on the methacrylated glass slide and a 18 mm by 18 mm plastic cover slip was placed on top. The ratios of 40% acrylamide/2% bisacrylamide were 1:0.1, 1:0.25, 1:1.25 for 132 Pa, 558 Pa and 1510 Pa, respectively. A single glass slide contained all 3 substrates (132 Pa, 558 Pa, 1510 Pa) in 3 different regions marked by the 18 mm by 18 mm coverslip as shown in Figure 4.1. 53   Figure 4.1 Schematic and overview of microarray printing on PAA gel pads. (A) Schematic of printing protocol of stiffness dependent substrate. (B) Macro image of printed spots on a standard 25 mm x 75 mm glass slide with acrylamide gel pad substrate at 1510, 558, and 132 Pa. 15 replicate spots/slide for each condition were printed and 4 microarray data sets analyzed. The glass slides were left overnight in a controlled humidity condition and subsequently the cover slip was peeled off from the polymerized gels in distilled deionized water. The PAA gel pads were then allowed to dry at room temperature before microarray printing. ECM proteins were printed on the top surface of the PAA gels with a 2-pin contact microarray printer (SpotBot 3 Personal Microarray, ArrayIt,CA). The ink 54   used for printing contained either 100, 200 or 300 µg/ml of collagen VI (Abcam), 10 µg/ml tenascin (EMD Millipore), or a mixture of both, diluted in bovine serum and printing buffer. Bovine serum albumin (BSA; Sigma-Aldrich) was included in the solution to maintain the total amount of protein constant (24 ug) in all inks at a total volume of 80 ul per ECM protein biomaterial library. Each slide contained 90 individual spots, with 15 replicates for each of the 6 experimental conditions and 60 replicates for each condition. The printing buffer consisted of 20% glycerol (VWR), 5 mM EDTA (VWR), 100mM acetic acid (VWR), and 0.25% Triton X-100 (BioRad, Hercules, CA) at pH 5.0 to prevent protein polymerization [2]. The printing pins also were sonicated for 30 minutes in a 50% ethanol-water solution prior to printing, and the pins were washed in a 50% DMSO-water solution, rinsed in with distilled deionized water, and dried after printing each set of samples to ensure unrestricted flow. After printing, the glass slides were incubated for 8-16 hours at 4°C, and then washed 3 times with PBS to rehydrate the PAA gel pads prior to cell seeding. Cells were plated on the microarray ECM spots at a density of 5.5 x 104 cells/cm2 in DMEM containing 2% FBS, cultured overnight, and then fixed in 4% paraformaldehyde (PFA, BioRad, Hercules, CA) in PBS the next day for immunofluorescence microscopic analysis of cell morphology and differentiation. Mechanical Characterization The stiffness (shear and storage moduli) of arylamide gel substrates fabricated with different degrees of chemical cross-linking were characterized using a 8 mm plate geometry configuration in a Rheometer (AR-G2 TA instruments, DE). The minimum oscillation normal force limit was set to 0.1 N and maximum oscillation 55   normal force limit was 50 N; angular frequency was held constant at 6.283 rad/s and all studies were carried out at 25°C. Cell Culture Embryonic stage 10 murine mandibular mesenchymal (MM) cells transfected with green fluorescent protein (GFP) were used in all studies. MM cell suspensions were added to pre-warmed Dulbecco's modified Eagle's medium (DMEM, Gibco, Carlsbad, CA) supplemented with 10% fetal bovine serum (FBS, Invitrogen, Carlsbad, CA) and and 1% penicillin/streptomyocin, (Gibco, Carlsbad, CA), centrifuged at 1000 rpm, resuspended in culture medium, transferred to T75 tissue culture flasks (BD Biosciences, San Jose, CA), and cultured at 37°C under 5% CO2. Cell cultures were refed with new medium every 2-3 days, and cells were passaged using 0.05% EDTAtrypsin (Invitrogen, Carlsbad, CA) when confluency was ~90%; all studies were carried out using cells prior to passage 12. Immunohistochemistry ECM microarrays with adherent cells were fixed, rinsed with PBS, permeabilized with 0.1% TritonX-100 (BioRad, Hercules, CA, USA) in PBS, and then incubated in 0.1% TritonX-100 containing 10% FBS in PBS for 1 hour prior to carrying out immunostaining using an antibody directed against rat pax 9 (1:100 dilution; Abcam, Cambridge, MA, USA) followed by incubation with an Alexa Fluor 594 conjugated anti-rat secondary antibody (1:200; Abcam, Cambridge, MA, USA) at room temperature. Upon completion, slides were dip coated with immunofluorescence mounting medium containing DAPI to visualize nuclei prior to placing the coverslip. Microarray spots and adherent cells were imaged using an inverted laser scanning 56   confocal microscope (Leica SP5XMP, Buffalo Grove, IL, USA) with acquisition of multiple z-stack sections as well as an inverted fluorescent microscope (Zeiss Axio Observer Z12, USA). Morphometric analysis A customized pipeline in Cell Profiler r10997 (Broad Institute, MIT) was written to calculate the pax 9 intensity of each cell and to count the number of DAPI-stained nuclei in each microarray spot. Cells were identified as primary objects based on their stained nuclei and cell bodies (labelled with GFP) were defined as the secondary objects; thresholds were was defined for both to respectively separate nuclei and labelled cell bodies from the background using the Otsu Adaptive algorithm. The range of diameters of nuclei was measured using ImageJ (NIH, Bethesda, Maryland); threshold bounds were set between 0.1 and 1.0 to rule out detection of background signals. The Laplacian of Gaussian method was found to give the best result when coupled with the Intensity module as a parameter to distinguish between clumped objects. From these identified objects, the total number of cells per spot and the average intensity of the Pax9 signal was measured and normalized against the varying level of cell adherence per condition. Cell densities were determined based on the total number of nuclei measured per spot, and the area of each spot (in um2), which was quantified using ImageJ. The accuracy of the automated analysis was confirmed by manually measuring similar properties of cells adherent to microarray spots and quantifying using Image J software (NIH, Bethesda, Maryland). Statistical Analysis Statistical analyses were conducted using, one-way ANOVA for mechanical 57   characterization tests and two-way ANOVA with replication to compare the effects of ECM protein and substrate stiffness on cell adhesion and odontogenic differentiation. These were followed by tukey-post hoc tests. Results are presented as mean +/standard error of the mean (SEM) unless otherwise stated. Results and Discussion Characterization of the ECM Microarrays A microarray containing micrometer-sized, circular ECM islands (425 mm diameter) in a square array (spot-to-spot pitch of 900 mm) with defined mechanical and chemical properties was fabricated by microspotting ECM solutions on top of PAA gels that differ in their degree of cross-linking (Figure 4.1A). First, three square PAA gel pads (18 X 18 mm) of different ratios (1:0.1,1:0.25 and 1:1.25) of 40% acrylamide to 2% bisacrylamide were polymerized on a single microscope glass slide (Figure 4.1B), and ECM proteins were then spotted on top of the pads containing either collagen VI (100, 200 or 300 µg/ml) , tenascin (10 µg/ml), or a mixture of both. ECM proteins were diluted in buffer containing BSA to keep the concentration of protein constant (24 ug) in all combinations and to prevent protein polymerization as previously described [33]. When the mechanical properties of the PAA pads were quantified using rheometry, we found that gels created with the high, middle and low ratios of acrylamide to bisacrylamide exhibited elastic moduli of 132, 558 and 1510 Pa, respectively (Figure 4.2A). 58   Figure 4.2 Microarray characterization. (A) Result of mechanical property characterization of three different PAA gel pads (***p<0.0001, Mean ± S.E.M.). (B) Stress dependence of G’ for PAA gel pads. (B) Stress dependence of G’ for PAA gel pads. (C) Microarray images of Rhodamine-labeled Fibronectin on 132 Pa PAA. (D) Fluorescent intensity (arbitrary units) measurements as a function of concentration. The storage modulus (G’) of each of the PAA gel pads also remained stable when the level of oscillatory stress was varied from 1 to 10 Pa (Figure 4.2B), which is critical to ensure the stability of the soft gels under printing conditions. We then 59   printed spots of rhodamine-labeled fibronectin to confirm our ability to spot ECM at defined concentrations on the PAA pads (Figure 4.1A). Fluorescence microscopic analysis of these printed substrates confirmed that the ECM proteins remained limited to precisely defined circular islands of approximately the same diameter that we printed (424 ± 51.8 µm), and that the fluorescent intensity increased in direct proportion to the concentration of fibronectin protein deposited on the PAA pad, regardless of its stiffness (Figure 4.2C,D). Effects of ECM mechanics on cell size and density To analyze the effects of these various substrate conditions on cell form and function, MM cells were plated on the slides, cultured overnight in serum-containing medium, and fixed one day later. Analysis of these substrates using fluorescence microscopy combined with computerized image analysis revealed that the cells attached only to the ECM protein spots (Figure 4.3). 60   Figure 4.3 Micrograph images of microarrayed spots. Cells were cultured on the microarrayed ECM spots with 6 different protein conditions (BSA, Collagen VI 100, 200, and 300µg/ml, Tenascin 10 µg/ml and Tenascin-Collagen VI mixture printed on1510 Pa, 558 Pa, and 132 Pa PAA gel pads. 15 replicate spots/slide for each condition were printed and 4 microarray data sets were stained and analyzed. (Scale bar = 200 µm) Similar results were obtained regardless of the stiffness of the PAA pad, and cells failed to adhere to control regions printed with the non-adhesive protein, BSA (Figure 4.3). Moreover, nearly identical adhesion responses were obtained in control studies in which cells were plated on ECM islands spotted on standard glass slides without 61   any PAA pads (Figure 4.4). Figure 4.4. Immunofluorescent staining of control on glass surface treated with Collagen VI 100, 200, and 300 µg/ml, Tenascin 10 µg/ml, and Tenascin-Collagen VI mixture. (Scale bar = 200 µm) A CellProfiler software pipeline was developed and used to outline nuclei and cells adherent to the imaged ECM spots (Figure 4.5), and to calculate the numbers of adherent cells as well as their mean projected cell areas. Figure 4.5 (A) Sample Input DAPI stained nuclei sample microarray spot inputted in CellProfiler. (B) Output image processed by CellProfiler identifying cell nuclei (white). (C) Sample microarray spot with DAPI stained nuclei and GFP labelled cell body. (D) 62   Figure 4.5 (Continued)…Output image processed by CellProfiler distinguishing cell body (red) from cell nuclei (white). (Scale bar = 200 µm). Using this computerized image analysis to analyze cells adherent to spots with different ECM coating densities revealed that increasing collagen VI concentration from 100 to 300 µg/ml resulted in a corresponding rise in the density of cells adherent on each island (Figure 4.6A); however, the degree of this response varied depending on the stiffness of the PAA pad (Figure 4.6A). Figure 4.6 (A) Cell Density and (B) Cell Size as a function of varying PAA gel pad substrates and ECM proteins. (***p<0.0001, **p<0.001, *p<0.01, Mean ± S.E.M.) Interestingly, tenascin and the highest collagen VI density (300 µg/ml) supported similar levels of cell adhesion, whereas printing them in combination on the same spot resulted in suppression of cell attachment to levels similar to those produced by 100 µg/ml collagen VI alone. This is consistent with past work showing that tenascin can inhibit integrin-dependent cell adhesion on substrates coated with other types of ECM molecules [34–36]. 63   In contrast, cell spreading (projected cell area) was much less dependent on the chemical composition of the ECM spot, and more sensitive to the mechanics of the gel, with average cell areas increasing progressively as the stiffness of the substrate was raised (Figure 4.6B). Many previous reports have similarly shown that cell spreading increases as ECM substrate stiffness is raised [11,37,38]. In addition, cell extension was found to increase as the coating density of collagen VI was increased on rigid glass slides, as previous demonstrated with various other ECM proteins [39,40]. While a similar increase in spreading was observed when the coating concentrations of collagen VI were increased from 100 to 200 ug/ml on the moderate stiffness substrate, this was less evident on the stiffest substrate and it was completely lost on the most flexible PAA pad (Figure 4.6B). Interestingly, while the spots containing a mixture of collagen VI and tenascin were less effective at supporting cell adhesion than tenascin alone (Fig. 4.6A), the cells that adhered to these spots spread to similar degrees, although again spreading increased in direct proportion to the stiffness of the substrate (Fig. 4.6B). ECM substrate-specific effects on tooth differentiation in MM cells To determine whether this ECM microarray technology can be used to identify unique biomaterial properties that induce tissue-specific differentiation, we measured expression of the odontogenic transcription factor, Pax9, within embryonic MM cells and normalized against the varying level of adherence to the different combination described in Figure 6A. These studies revealed that, in general, cells exhibited the lowest levels of Pax9 expression on the intermediate stiffness (558 Pa) PAA pads regardless of the type or density of ECM coating, and the highest levels on the 64   stiffest (1510 Pa) PAA gel pads and rigid control glass substrates (Figure 4.7). Figure 4.7 Pax 9 fluorescent Intensity (in arbitrary units) as a function of varying PAA gel pad substrates and ECM proteins. (***p<0.0001, **p<0.001, *p<0.01, Mean ± S.E.M.) When we analyzed effects of varying ECM type, there was no detectable difference on the most flexible or intermediate (558 Pa) stiffness PAA pads. However, cells on the stiffest gels coated with the lowest collagen VI density (100 ug/ml) exhibited significantly higher levels of Pax9 expression than cells on higher coating densities. This raises the intriguing possibility that the particular in vitro mechanochemical features of this ECM spot more closely mimic the inductive tissue microenvironment that promotes tooth differentiation in vivo. Interestingly, tenascin had little effect on MM cell differentiation on any of the flexible substrates, whereas it was a potent inducer on a highly rigid glass substrate (Figure 4.7). The methodology described in our study provides a unique and customized library that incorporates substrate stiffness in determining the inductive behavior of MM cells. 65   While the biomaterial library analyzed here was small compared to past high throughput screening technologies, our findings clearly demonstrate the concept and ease of developing a customized combinatorial microarray for determining the inductive capacity of very specific concentrations and combinations of certain ECM proteins on varying mechanical substrates with high flexibility. In addition, while we carried out our studies in 2D, there is currently a shift towards 3D printing technologies that more closely predict and recapitulate cell behavior and interactions [41,42]. Thus, it would be useful to extend this work to microarrays consisting of 3D gels of varying mechanical stiffness and coated with more ECM protein combinations in the future. In summary, our study presents a novel microarray platform capable of analyzing the combinatorial effects of certain mechanical and chemical factors on cell density, spreading and induction of odontogenesis. To our knowledge, this is the first study to develop a microarray platform that can analyze combinatorial effects of ECM protein type, density and mechanics on embryonic cell differentiation. The information we generated using tooth differentiation as a model system also might be useful for the design of dental biomaterials that induce tooth formation in the future. In addition, this microarray system may be easily tuned to study combinatorial effects of mechanics and chemistry of other cell types of interest. Hence, it may be applied for a variety of tissue engineering studies that need to investigate the effects of mechanochemical microenvironmental cues on cell and tissue development in vitro. Acknowledgements This work was conducted with support by grants from NIH Common Fund (RL1DE019023 to D.E.I.) and the Wyss Institute for Biologically Inspired Engineering 66   at Harvard University. We would like to thank T. Mammoto for providing E10 MM cells. References [1] [2] [3] M.P. Lutolf, P.M. Gilbert, H.M. Blau, Designing materials to direct stem-cell fate., Nature. 462 (2009) 433–41. doi:10.1038/nature08602. C.J. Flaim, S. Chien, S.N. Bhatia, An extracellular matrix microarray for probing cellular differentiation, Nat. Methods. 2 (2005) 119–125. doi:10.1038/NMETH736. D.G. Anderson, S. Levenberg, R. Langer, Nanoliter-scale synthesis of arrayed biomaterials and application to human embryonic stem cells., Nat. Biotechnol. 22 (2004) 863–6. doi:10.1038/nbt981. A.J. Urquhart, D.G. Anderson, M. Taylor, A.R. Morgan, R. Langer, M.C. Davies, High Throughput Surface Characterisation of a Combinatorial Material Library, Adv. Mater. 19 (2007) 2486–2491. doi:10.1002/adma.200700949. S. Gobaa, S. Hoehnel, M. Roccio, A. Negro, S. Kobel, M.P. Lutolf, Artificial niche microarrays for probing single stem cell fate in high throughput, Nat. Methods. 8 (2011) 949–955. doi:10.1038/nmeth.1732. E.S. Place, N.D. Evans, M.M. Stevens, Complexity in biomaterials for tissue engineering., Nat. Mater. 8 (2009) 457–70. doi:10.1038/nmat2441. N. Huebsch, D.J. Mooney, Inspiration and application in the evolution of biomaterials, Nature. 462 (2009) 426–432. doi:10.1038/nature08601. T. Mammoto, A. Mammoto, D.E. Ingber, Mechanobiology and developmental control., Annu. Rev. Cell Dev. Biol. 29 (2013) 27–61. doi:10.1146/annurev-cellbio101512-122340. T.R. Polte, G.S. Eichler, N. Wang, D.E. Ingber, Extracellular matrix controls myosin light chain phosphorylation and cell contractility through modulation of cell shape and cytoskeletal prestress., Am. J. Physiol. Cell Physiol. 286 (2004) C518– 28. doi:10.1152/ajpcell.00280.2003. [4] [5] [6] [7] [8] [9] [10] D.E. Discher, D.J. Mooney, P.W. Zandstra, Growth factors, matrices, and forces combine and control stem cells., Science. 324 (2009) 1673–7. doi:10.1126/science.1171643. [11] A.J. Engler, S. Sen, H.L. Sweeney, D.E. Discher, Matrix Elasticity Directs Stem Cell Lineage Specification, Cell. 126 (2006) 677–689. doi:10.1016/j.cell.2006.06.044. 67   [12] C.S. Chen, M. Mrksich, S. Huang, G.M. Whitesides, D.E. Ingber, Geometric control of cell life and death., Science. 276 (1997) 1425–8. [13] L.E. Dike, C.S. Chen, M. Mrksich, J. Tien, G.M. Whitesides, D.E. Ingber, Geometric control of switching between growth, apoptosis, and differentiation during angiogenesis using micropatterned substrates., In Vitro Cell. Dev. Biol. Anim. 35 (1999) 441–8. doi:10.1007/s11626-999-0050-4. [14] R. Singhvi, A. Kumar, G.P. Lopez, G.N. Stephanopoulos, D.I.C. Wang, G.M. Whitesides, et al., Engineering Cell Shape and Function, Science (80-. ). 264 (1994) 696–698. [15] R.P. Hertzberg, A.J. Pope, High-throughput screening: new technology for the 21st century., Curr. Opin. Chem. Biol. 4 (2000) 445–51. [16] C.A. Tweedie, D.G. Anderson, R. Langer, K.J. Van Vliet, Combinatorial Material Mechanics: High-Throughput Polymer Synthesis and Nanomechanical Screening, Adv. Mater. 17 (2005) 2599–2604. doi:10.1002/adma.200501142. [17] F. Chowdhury, Y. Li, Y.-C. Poh, T. Yokohama-Tamaki, N. Wang, T.S. Tanaka, Soft substrates promote homogeneous self-renewal of embryonic stem cells via downregulating cell-matrix tractions., PLoS One. 5 (2010) e15655. doi:10.1371/journal.pone.0015655. [18] N. Eroshenko, R. Ramachandran, V.K. Yadavalli, R.R. Rao, Effect of substrate stiffness on early human embryonic stem cell differentiation., J. Biol. Eng. 7 (2013) 7. doi:10.1186/1754-1611-7-7. [19] M. Jaramillo, S.S. Singh, S. Velankar, P.N. Kumta, I. Banerjee, Inducing endoderm differentiation by modulating mechanical properties of soft substrates, J. Tissue Eng. Regen. Med. (2012). doi:10.1002/term. [20] I. Levental, P.C. Georges, P. a. Janmey, Soft biological materials and their impact on cell function, Soft Matter. 3 (2007) 299. doi:10.1039/b610522j. [21] T. Mammoto, A. Mammoto, Y. Torisawa, T. Tat, A. Gibbs, R. Derda, et al., Mechanochemical control of mesenchymal condensation and embryonic tooth organ formation., Dev. Cell. 21 (2011) 758–69. doi:10.1016/j.devcel.2011.07.006. [22] B. Hashmi, L.D. Zarzar, T. Mammoto, A. Mammoto, A. Jiang, J. Aizenberg, et al., Developmentally-Inspired Shrink-Wrap Polymers for Mechanical Induction of Tissue Differentiation., Adv. Mater. (2014). doi:10.1002/adma.201304995. [23] M. Mina, E. Kollar, The induction of odontogenesis in non-dental mesenchyme combined with early murine mandibular arch epithelium, Arch Oral Biol. 32 (1987) 123–127. 68   [24] R. Maas, M. Bei, The Genetic Control of Early Tooth Development, Crit. Rev. Oral Biol. Med. 8 (1997) 4–39. doi:10.1177/10454411970080010101. [25] M. Horibe, T. Sawa, M. Kataoka, J.-I. Kido, T. Nagata, Regulation of tenascin expression in cultured rat dental pulp cells., Odontology. 92 (2004) 22–6. doi:10.1007/s10266-004-0038-1. [26] I. Thesleff, E. Mackie, S. Vainio, R. Chiquet-Ehrismann, Changes in the distribution of tenascin during tooth development., Development. 101 (1987) 289– 96. [27] I. Thesleff, Epithelial-mesenchymal signalling regulating tooth morphogenesis, J. Cell Sci. 116 (2003) 1647–1648. doi:10.1242/jcs.00410. [28] A. Fekonja, Hypodontia in orthodontically treated children, Eur. J. Orthod. 27 (2005) 457–60. doi:10.1093/ejo/cji027. [29] W.A. Bolton, Disharmony in tooth size and its relation to the analysisand treatment of malocclusion, Angle Orthod. 28 (1958) 113–118. [30] P. Holm-Pedersen, N.P. Lang, F. Müller, What are the longevities of teeth and oral implants?, Clin. Oral Implants Res. 18 (2007) 15–9. doi:10.1111/j.16000501.2007.01434.x. [31] A. Mammoto, K.M. Connor, T. Mammoto, C.W. Yung, C.M. Aderman, G. Mostoslavsky, et al., A mechanosensitive transcriptional mechanism that controls angiogenesis, Nature. 457 (2009) 1103–1108. doi:10.1038/nature07765.A. [32] R.J. Pelham, Y.-L. Wang, Cell locomotion and focal adhesions are regulated by, Proc. Natl. Acad. Sci. U. S. A. 94 (1997) 13661–13665. [33] C.J. Flaim, S. Chien, S.N. Bhatia, An extracellular matrix microarray for probing cellular differentiation, Nat. Methods. 2 (2005) 119–125. doi:10.1038/NMETH736. [34] C.R. Rüegg, R. Chiquet-Ehrismann, S.S. Alkan, Tenascin, an extracellular matrix protein, exerts immunomodulatory activities., Proc. Natl. Acad. Sci. U. S. A. 86 (1989) 7437–41. [35] R. Chiquet-Ehrismann, P. Kalla, C.A. Pearson, K. Beck, M. Chiquet, Tenascin interferes with fibronectin action., Cell. 53 (1988) 383–390. [36] R. Probstmeier, P. Pesheva, Tenascin-C inhibits beta1 integrin-dependent cell adhesion and neurite outgrowth on fibronectin by a disialoganglioside-mediated signaling mechanism., Glycobiology. 9 (1999) 101–14. 69   [37] T. Yeung, P.C. Georges, L.A. Flanagan, B. Marg, M. Ortiz, M. Funaki, et al., Effects of substrate stiffness on cell morphology, cytoskeletal structure, and adhesion., Cell Motil. Cytoskeleton. 60 (2005) 24–34. doi:10.1002/cm.20041. [38] D.E. Discher, P. Janmey, Y.-L. Wang, Tissue cells feel and respond to the stiffness of their substrate., Science. 310 (2005) 1139–43. doi:10.1126/science.1116995. [39] D.E. Ingber, J. Folkman, Mechanochemical switching between growth and differentiation during fibroblast growth factor-stimulated angiogenesis in vitro: role of extracellular matrix., J. Cell Biol. 109 (1989) 317–30. [40] D. Mooney, L. Hansen, J. Vacanti, R. Langer, S. Farmer, D. Ingber, Switching from differentiation to growth in hepatocytes: control by extracellular matrix., J. Cell. Physiol. 151 (1992) 497–505. doi:10.1002/jcp.1041510308. [41] D.B. Kolesky, R.L. Truby, A.S. Gladman, T.A. Busbee, K.A. Homan, J.A. Lewis, 3D Bioprinting of Vascularized, Heterogeneous Cell-Laden Tissue Constructs., Adv. Mater. (2014) 1–7. doi:10.1002/adma.201305506. [42] A. Dolatshahi-Pirouz, M. Nikkhah, A.K. Gaharwar, B. Hashmi, E. Guermani, H. Aliabadi, et al., A combinatorial cell-laden gel microarray for inducing osteogenic differentiation of human mesenchymal stem cells., Sci. Rep. 4 (2014) 3896. doi:10.1038/srep03896. 70   Chapter 5: Conclusion In this dissertation, I provided an in depth overview of organ regeneration from a developmental perspective, with a primary focus on tooth as a model organ system. I then described work I completed which provide proof-of-principle for engineering a synthetic tissue engineering scaffold inspired by the developmental induction mechanism that is employed during tooth development. Specifically, I was able to create scaffolds composed of thermosensitive polymers chemically modified with ECM adhesive ligands that support attachment of embryonic mesenchymal cells, and that induce a mesenchymal condensation-like compaction response when warmed to body temperature. Moreover, I was able to show that this mechanical actuation mechanism drives tooth differentiation in vitro and enhances formation of mineralized tooth tissues in vivo. In addition, I presented work I carried out that demonstrates the feasibility of adapting microarray spotting technology to screen for ECM scaffolds with appropriate combinations of mechanical and chemical properties that are best suited to induce tooth differentiation. As described in Chapter 1, a century ago, much of developmental control was explained largely in mechanical terms, but this view lost favor once the molecular biology revolution emerged. However, there has been a great resurgence of interest in mechanobiology and developmental control, and recent insights into the key role that physical compression of mesenchymal cells plays during mesenchymal condensationinduced tooth formation served as the inspiration for my dissertation studies. The key question I addressed is: can we develop artificial materials for tissue engineering that emulate a key embryological induction mechanism to artificially trigger 71   tissue differentiation and organ formation? This challenge was addressed by focusing on the recently uncovered mechanism by which physical condensation and compaction of embryonic dental mesenchyme cells triggers induction of genes that drive tooth differentiation. To mimic this process, I engineered a novel thermoresponsive hydrogel scaffold composed of poly(N-isopropylacrylamide) (PNIPAAm) chemically modified with a GRGDS cell attachment peptide, and showed that it induces compaction of mesenchymal cells grown within it when warmed close to body temperature. Shrinkage of this polymer scaffold in 3D at body temperature induced a decrease in size of cultured embryonic dental mesenchyme cells similar to that previously observed during mesenchymal condensation of this tissue in the embryo. This polymer shrinkageinduced cell size change also increased expression of genes encoding critical odontogenic transcription factors (e.g., Pax 9, Msx1) and morphogens (e.g., Bmp4) that drive tooth differentiation. In addition, implantation of these polymer scaffolds containing the dental mesenchymal cells under the kidney capsule of living mice resulted in increased neovascularization, as well as formation of both mineralized and calcified tooth tissues in vivo. Thus, this thermoresponsive polymer scaffold could indeed induce tissue differentiation by mimicking this developmentally-inspired mechanical actuation mechanism. Past work has shown that inductive dental mesenchyme can form a whole tooth when recombined with embryonic or adult epithelium and implanted in an immuneprotected site (under the kidney capsule) in mice [1–4]. Thus, one limitation of this study was that in vivo studies of the mesenchymal cell seeded polymer gel were conducted in the absence of epithelium. In the future, studies that incorporate 72   epithelium will be critical to determine the degree to which a fully differentiated tooth can form, and hence, to demonstrate the physiological (and potentially clinical) relevance of this approach. Given the novelty of these findings and the polymer material engineered, plus its potential application for developmental engineering of a wide range of tissues that similarly depend on mesenchymal condensation for their induction in the embryo (e.g. salivary gland, pancreas, kidney, bone, and cartilage, etc) [5–8], these results may have broad relevance for the fields of tissue engineering and regenerative medicine, as well as developmental and stem cell biology. Although I only focused on RGD-polymerized scaffolds here and the role of soluble factors was not investigated, these parameters can be varied in the future to further optimize the tooth induction response and to tailor the scaffold for engineering of different organ types. The microarray screening platform I described in Chapter 4 may be useful for identifying biomaterials with mechanical and chemical properties that are optimally supportive of tooth differentiation. This approach also can be extended to screen for biomaterials that regulate differentiation or other functions (e.g., growth) of any type of cell that similarly responds uniquely to different combinations of ECM chemical and mechanical properties. The work I did on this microarray screening platform would have been greatly strengthened if I had the time to do an extensive ECM library analysis, and also simultaneously analyzed effects of combinations of many different soluble factors, which should be possible given the multiplexed nature of the systems I created. The testing platform also utilized a 2D approach that may not accurately depict the natural 3D tissue 73   microenvironment. Nevertheless, the microarray spotting method I described should facilitate and improve current materials screening methods and analyses. While loss of teeth is not life-threatening, development of effective tooth engineering methods may be useful for treating conditions, such as hypodontia, in which teeth fail to form. This is a particularly significant problem in children because teeth implants cannot be used due to the dynamic growth properties of the child’s jaw. However, the same design principles we leveraged to fabricate synthetic materials that promote tooth differentiation are also used to induce formation of many other organs. This mechanically-actuable scaffolds for tissue engineering I described here may therefore also be applied to studies with more complex organs in the future. But to me, the greatest significance of this work is that it opens a new avenue of exploration in the field of tissue engineering by demonstrating the feasibility of designing, fabricating and experimentally validating ‘developmentally-inspired’ biomaterials. References:   [1] Mammoto T, Mammoto A, Torisawa Y, Tat T, Gibbs A, Derda R, et al. Mechanochemical control of mesenchymal condensation and embryonic tooth organ formation. Dev Cell 2011;21:758–69. [2] Oshima M, Mizuno M, Imamura A, Ogawa M, Yasukawa M, Yamazaki H, et al. Functional tooth regeneration using a bioengineered tooth unit as a mature organ replacement regenerative therapy. PLoS One 2011;6:e21531. [3] Ohazama A, Modino SAC, Miletich I, Sharpe PT. Stem-cell-based tissue engineering of murine teeth. J Dent Res 2004;83:518–22. [4] Nakao K, Morita R, Saji Y, Ishida K, Tomita Y, Ogawa M, et al. The development of a bioengineered organ germ method. Nat Methods 2007;4:227–30. [5] Smith MM, Hall BK. Development and evolutionary origins of vertebrate skeletogenic and odontogenic tissues. Biol Rev Camb Philos Soc 1990;65:277–373. [6] Hall BK, Miyake T. Divide, accumulate, differentiate: cell condensation in skeletal development revisited. Int J Dev Biol 1995;39:881–93. 74   [7] Hall BK, Miyake T. The membranous skeleton  : the role of cell condensations in vertebrate skeletogenesis. Anat Embryol (Berl) 1992;186:107–24. [8] Hall BK, Miyake T. All for one and one for all: condensations and the initiation of skeletal development. Bioessays 2000;22:138–47. 75   Supplementary Figures and Videos Hashmi B, Zarzar L, Mammoto T, Mammoto A, Jiang A, Aizenberg J, and Ingber DE. Developmentally-Inspired Shrink-Wrap Polymers for Induction of Tissue Differentiation. Adv. Materials 2014; Feb 18 [Epub ahead of print]. Copyright © 2014 Wiley-VCH Verlag GmbH & Co. KGaA. Reproduced with permission. Figure S1 Graph of a Differential Scanning Calorimetry plot for a representative GRGDS-PNIPAAm gel indicating the LCST of this material to be ~ 36°C. 76   Figure S2 Dental mesenchymal (DM) cell volume change in a GRGDSPNIPAAM gel when induced to contract by heating from ~30-40°C. Gel contraction initiated soon after the temperature was raised above the 36oC transition temperature and it reached completion within 10-15 min, as shown in Supplementary Video 1. Figure S3 Biocompatibility of GRGDS-PNIPAAm gels. (a) Live (green) and dead dental mesenchymal (DM) cells (red) in a contracted GRGDS-PNIPAAm hydrogel after one week. (b) Live (green) and dead cells (red) in PNIPAAm hydrogel of the same formulation but without GRGDS peptide after one week (scale bar, 50 µm). (c) Graph showing quantification of cell viability in GRGDS-PNIPAAm hydrogels (black bars) and PNIPAAm hydrogels (grey bars); mean ± SEM. 77   Figure S4 Fluorescent micrographs showing Ki-67 protein expression (magenta) in DAPI-labeled nuclei (blue) of dental mesenchymal (DM) cells cultured in a contracted GRGDS-PNIPAAm gels for 3 days (bar, 20 µm). Figure S5 mRNA expression of Pax9, Msx1, and Bmp4 in dental mesenchymal cells cultured in 37°C (black bars) and 34°C (grey bars) for 76 hours indicating that temperature difference alone does not significantly influence expression. 78   Figure S6 Representative diagram of experimental protocol for the in vivo studies. Figure S7 Compacted GFP-labelled DM cells seeded in a contracting GRGDSPNIPAAm gel implanted 2 weeks in vivo (bar, 20 µm). 79   Video 1 A 2D time-lapse recording showing the GRGDS-PNIPAAm gel response to temperature change (from ~30°C-40°C). The gel rapidly begins to contract once the chamber temperature reaches the gel’s LCST of ~36°C, and it completes this response within about 15 min. Video 2 3D time-lapse recording of GFP-labelled DM cells (green) within the same gel from Video 1 in response to the same temperature change. Once the chamber temperature reaches the gel’s LCST, the DM cells immediately compact due to the shrinkage of the gel pores, as shown in Figure 3.1c. 80