Microscale Biomaterials with Bioinspired Complexity of Early Embryo Development and in the Ovary for Tissue Engineering and Regenerative Medicine

Gray-Level Guided Image-Activated Droplet Sorter for Label-Free, High-Accuracy Screening of Single-Cell on Demand

Single-cell encapsulation in droplet microfluidics has become a powerful tool in precision medicine, single-cell analysis, and immunotherapy. However, droplet generation with a single-cell encapsulation is a random process, which also results in a large number of empty and multi-cell droplets. Current microfluidics sorting technologies suffer from drawbacks such as fluorescent labeling, inability to remove multi-cell droplets, or low throughput. This paper presents a gray-level guided image-activated droplet sorter (GL-IADS), which enables label-free, high-accuracy screening of single-cell droplets by rejecting empty and multi-cell droplets. The gray-level based recognition method can accurately classify droplet images (empty, single-cell, and multi-cell droplets), especially in differentiating empty and cell-laden droplets (accuracy of 100%). Crucially, this method reduces the image processing time to ≈300 µs, which makes the GL-IADS possible to reach an ultra-high sorting throughput up to hundreds or even KHz. The GL-IADS integrates the novel recognition method with a detachable acoustofluidic system, achieving sorting purity of 97.9%, 97.4%, and >99% for single-cell, multi-cell, and cell-laden droplets, respectively, with a throughput of 43 Hz. The GL-IADS holds promise for numerous biological applications that are previously difficult with fluorescence-based technologies.

Microfluidic Formulation of Topological Hydrogels for Microtissue Engineering

Microfluidics has recently emerged as a powerful tool in generation of submillimeter-sized cell aggregates capable of performing tissue-specific functions, so-called microtissues, for applications in drug testing, regenerative medicine, and cell therapies. In this work, we review the most recent advances in the field, with particular focus on the formulation of cell-encapsulating microgels of small "dimensionalities": "0D" (particles), "1D" (fibers), "2D" (sheets), etc., and with nontrivial internal topologies, typically consisting of multiple compartments loaded with different types of cells and/or biopolymers. Such structures, which we refer to as topological hydrogels or topological microgels (examples including core-shell or Janus microbeads and microfibers, hollow or porous microstructures, or granular hydrogels) can be precisely tailored with high reproducibility and throughput by using microfluidics and used to provide controlled "initial conditions" for cell proliferation and maturation into functional tissue-like microstructures. Microfluidic methods of formulation of topological biomaterials have enabled significant progress in engineering of miniature tissues and organs, such as pancreas, liver, muscle, bone, heart, neural tissue, or vasculature, as well as in fabrication of tailored microenvironments for stem-cell expansion and differentiation, or in cancer modeling, including generation of vascularized tumors for personalized drug testing. We review the available microfluidic fabrication methods by exploiting various cross-linking mechanisms and various routes toward compartmentalization and critically discuss the available tissue-specific applications. Finally, we list the remaining challenges such as simplification of the microfluidic workflow for its widespread use in biomedical research, bench-to-bedside transition including production upscaling, further in vivo validation, generation of more precise organ-like models, as well as incorporation of induced pluripotent stem cells as a step toward clinical applications.

3D printed controllable microporous scaffolds support embryonic development in vitro

Little is known about the complex molecular and cellular events occurring during implantation, which represents a critical step for pregnancy. The conventional 2D culture could not support postimplantation embryos' normal development, and 3D conditions shed light into the “black box”. 3D printing technology has been widely used in recapitulating the structure and function of native tissues in vitro. Here, we 3D printed anisotropic microporous scaffolds to culture embryos by manipulating the advancing angle between printed layers, which affected embryo development. The 30° and 60° scaffolds promote embryo development with moderate embryo‐scaffold attachments. T‐positive cells and FOXA2‐positive cells were observed to appear in the posterior region of the embryo and migrated to the anterior region of the embryo on day 7. These findings demonstrate a 3D printed stand that supports embryonic development in vitro and the critical role of 3D architecture for embryo implantation, in which additive manufacturing is a versatile tool.

Cell Culture in Microfluidic Droplets

Cell manipulation in droplets has emerged as one of the great successes of microfluidic technologies, with the development of single-cell screening. However, the droplet format has also served to go beyond single-cell studies, namely by considering the interactions between different cells or between cells and their physical or chemical environment. These studies pose specific challenges linked to the need for long-term culture of adherent cells or the diverse types of measurements associated with complex biological phenomena. Here we review the emergence of droplet microfluidic methods for culturing cells and studying their interactions. We begin by characterizing the quantitative aspects that determine the ability to encapsulate cells, transport molecules, and provide sufficient nutrients within the droplets. This is followed by an evaluation of the biological constraints such as the control of the biochemical environment and promoting the anchorage of adherent cells. This first part ends with a description of measurement methods that have been developed. The second part of the manuscript focuses on applications of these technologies for cancer studies, immunology, and stem cells while paying special attention to the biological relevance of the cellular assays and providing guidelines on improving this relevance.

Deep Learning-Enabled Label-Free On-Chip Detection and Selective Extraction of Cell Aggregate-Laden Hydrogel Microcapsules

Microfluidic encapsulation of cells/tissues in hydrogel microcapsules has attracted tremendous attention in the burgeoning field of cell-based medicine. However, when encapsulating rare cells and tissues (e.g., pancreatic islets and ovarian follicles), the majority of the resultant hydrogel microcapsules are empty and should be excluded from the sample. Furthermore, the cell-laden hydrogel microcapsules are usually suspended in an oil phase after microfluidic generation, while the microencapsulated cells require an aqueous phase for further culture/transplantation and long-term suspension in oil may compromise the cells/tissues. Thus, real-time on-chip selective extraction of cell-laden hydrogel microcapsules from oil into aqueous phase is crucial to the further use of the microencapsulated cells/tissues. Contemporary extraction methods either require labeling of cells for their identification along with an expensive detection system or have a low extraction purity (<≈30%). Here, a deep learning-enabled approach for label-free detection and selective extraction of cell-laden microcapsules with high efficiency of detection (≈100%) and extraction (≈97%), high purity of extraction (≈90%), and high cell viability (>95%) is reported. The utilization of deep learning to dynamically analyze images in real time for label-free detection and on-chip selective extraction of cell-laden hydrogel microcapsules is unique and may be valuable to advance the emerging cell-based medicine.

Oxidation and RGD Modification Affect the Early Neural Differentiation of Murine Embryonic Stem Cells Cultured in Core-Shell Alginate Hydrogel Microcapsules

Directed neural differentiation of embryonic stem cells (ESCs) has been studied extensively to improve the treatment of neurodegenerative disorders. This can be done through stromal-cell derived inducing activity (SDIA), by culturing ESCs directly on top of a layer of feeder stromal cells. However, the stem cells usually become mixed with the feeder cells during the differentiation process, making it difficult to obtain a pure population of the differentiated cells for further use. To address this issue, a non-planar microfluidic device is used here to encapsulate murine ESCs (mESCs) in the 3D liquid core of microcapsules with an alginate hydrogel shell of different sizes for early neural differentiation through SDIA, by culturing mESC-laden microcapsules over a feeder layer of PA6 cells. Furthermore, the alginate hydrogel shell of the microcapsules is modified via oxidation or RGD peptide conjugation to examine the mechanical and chemical effects on neural differentiation of the encapsulated mESC aggregates. A higher expression of Nestin is observed in the aggregates encapsulated in small (∼300 μm) microcapsules and cultured over the PA6 cell feeder layer. Furthermore, the modification of the alginate with RGD facilitates early neurite extension within the microcapsules. This study demonstrates that the presence of the RGD peptide, the SDIA effect of the PA6 cells, and the absence of leukemia inhibition factor from the medium can lead to the early differentiation of mESCs with extensive neurites within the 3D microenvironment of the small microcapsules. This is the first study to investigate the effects of cell adhesion and degradation of the encapsulation materials for directed neural differentiation of mESCs. The simple modifications (i.e., oxidation and RGD incorporation) of the miniaturized 3D environment for improved early neural differentiation of mESCs may potentially enhance further downstream differentiation of the mESCs into more specialized neurons for therapeutic use and drug screening.

Biophysical optimization of preimplantation embryo culture: what mechanics can offer ART

Owing to the rise of ART and mounting reports of epigenetic modification associated with them, an understanding of optimal embryo culture conditions and reliable indicators of embryo quality are highly sought after. There is a growing body of evidence that mechanical biomarkers can rival embryo morphology as an early indicator of developmental potential and that biomimetic mechanical cues can promote healthy development in preimplantation embryos. This review will summarize studies that investigate the role of mechanics as both indicators and promoters of mammalian preimplantation embryo development and evaluate their potential for improving future embryo culture systems.

Advances in biomaterials and regenerative medicine for primary ovarian insufficiency therapy

Primary ovarian insufficiency (POI) is an ovarian dysfunction that affects more than 1 % of women and is characterized by hormone imbalances that afflict women before the age of 40. The typical perimenopausal symptoms result from abnormal levels of sex hormones, especially estrogen. The most prevalent treatment is hormone replacement therapy (HRT), which can relieve symptoms and improve quality of life. However, HRT cannot restore ovarian functions, including secretion, ovulation, and fertility. Recently, as part of a developing field of regenerative medicine, stem cell therapy has been proposed for the treatment of POI. Thus, we recapitulate the literature focusing on the use of stem cells and biomaterials for POI treatment, and sum up the underlying mechanisms of action. A thorough understanding of the work already done can aid in the development of guidelines for future translational applications and clinical trials that aim to cure POI by using regenerative medicine and biomedical engineering strategies.

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This paper illustrates the in-vivo, in-vitro, and cell-free treatments for POI using stem cells and biomaterials.

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We provide basic theories and suggestions for future research and clinical therapy translation.

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This review can help researcher to develop guidelines on stem cells treating POI.

Gelatin Electrospun Mat as a Potential Co-culture System for In Vitro Production of Sperm Cells from Embryonic Stem Cells

Engineering of 3D substrates with maximum similarity to seminiferous tubules would help to produce functional sperm cells in vitro from stem cells. Here, we present a 3D electrospun gelatin (EG) substrate seeded with Sertoli cells and determine its potential for guided differentiation of embryonic stem cells (ESCs) toward germline cells. The EG was fabricated by electrospinning, and its morphology under SEM, as well as cytobiocompatibility for Sertoli cells and ESCs, was confirmed by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide and cell attachment assay. Embryoid bodies (EBs) were formed from ESCs and co-cultured with Sertoli cells, induced with BMP4 for 3 and 7 consecutive days to induce the differentiation of EBs toward germline cells. The differentiation was investigated by immunocytochemistry (ICC), flow cytometry, and RT-PCR in four experimental groups of EBs (EBs cultured in gelatin-coated cell culture plates); Scaffold/EB (EBs cultured on EG); ESCs/Ser (EBs and Sertoli cells co-cultured on gelatin-coated cell culture plates without EG); and Scaffold/EB/Ser (EBs and Sertoli cells co-cultured on EG). All experimental groups exhibited a significantly increased MVH (germline-specific marker) and decreased c-KIT (stemness marker) expression when compared with the EB group. ICC and flow cytometry revealed that Scaffold/EB/Ser had the highest level of MVH and the lowest c-KIT expression at both 3 and 7 days postdifferentiation compared with other groups. RT-PCR results showed a significant increase in the germline marker (Dazl) and a significant decrease in the ESC stemness marker (Nanog) in Scaffold/EB compared to the EB group. The germline markers Gcna, Stella, Mvh, Stra8, Piwil2, and Dazl were significantly increased in Scaffold/EB/Ser compared to the Scaffold/EB group. Our findings revealed that the EG scaffold can provide an excellent substrate biomimicking the micro/nanostructure of native seminiferous tubules and a platform for Sertoli cell-EB communication required for growth and differentiation of ESCs into germline cells.

Magnetic Resonance Imaging of Single Cells

This chapter discusses a methodology for simultaneously imaging stem cells and endothelial cells within polysaccharide-based scaffolds for tissue engineering. These scaffolds were then implanted into nude mice. Human mesenchymal stem cells (HMSCs) were labeled with the T₁-marker Gd(III)-DOTAGA-functionalized polysiloxane nanoparticles (GdNPs), whereas endothelial umbilical vein cells (HUVECs) were labeled with citrate-stabilized maghemite nanoparticles (IONPs), which predominantly shorten the T₂-relaxation times of the water molecules in scaffolds and tissue. Dual cell detection was achieved by performing T₁- and T₂-weighted MRI in both tissue scaffolds and in vivo.

Engineering Strategies to Improve Islet Transplantation for Type 1 Diabetes Therapy

Type 1 diabetes is an autoimmune disease in which the immune system attacks insulin-producing beta cells of pancreatic islets. Type 1 diabetes can be treated with islet transplantation; however, patients must be administered immunosuppressants to prevent immune rejection of the transplanted islets if they are not autologous or not engineered with immune protection/isolation. To overcome biological barriers of islet transplantation, encapsulation strategies have been developed and robustly investigated. While islet encapsulation can prevent the need for immunosuppressants, these approaches have not shown much success in clinical trials due to a lack of long-term insulin production. Multiple engineering strategies have been used to improve encapsulation and post-transplantation islet survival. In addition, more efficient islet cryopreservation methods have been designed to facilitate the scaling-up of islet transplantation. Other islet sources have been identified including porcine islets and stem cell-derived islet-like aggregates. Overall, islet-laden capsule transplantation has greatly improved over the past 30 years and is moving towards becoming a clinically feasible treatment for type 1 diabetes.

Mesenchymal stem cell-based bioengineered constructs: foreign body response, cross-talk with macrophages and impact of biomaterial design strategies for pelvic floor disorders

An excessive foreign body response (FBR) has contributed to the adverse events associated with polypropylene mesh usage for augmenting pelvic organ prolapse surgery. Consequently, current biomaterial research considers the critical role of the FBR and now focuses on developing better biocompatible biomaterials rather than using inert implants to improve the clinical outcomes of their use. Tissue engineering approaches using mesenchymal stem cells (MSCs) have improved outcomes over traditional implants in other biological systems through their interaction with macrophages, the main cellular player in the FBR. The unique angiogenic, immunomodulatory and regenerative properties of MSCs have a direct impact on the FBR following biomaterial implantation. In this review, we focus on key aspects of the FBR to tissue-engineered MSC-based implants for supporting pelvic organs and beyond. We also discuss the immunomodulatory effects of the recently discovered endometrial MSCs on the macrophage response to new biomaterials designed for use in pelvic floor reconstructive surgery. We conclude with a focus on considerations in biomaterial design that take into account the FBR and will likely influence the development of the next generation of biomaterials for gynaecological applications.

Label-Free On-Chip Selective Extraction of Cell-Aggregate-Laden Microcapsules from Oil into Aqueous Solution with Optical Sensor and Dielectrophoresis

Microfluidic encapsulation of cells or tissues in biocompatible solidlike hydrogels has wide biomedical applications. However, the microfluidically encapsulated cells/tissues are usually suspended in oil and need to be extracted into aqueous solution for further culture or use. Current extracting techniques are either nonselective for the cell/tissue-laden hydrogel microcapsules or rely on fluorescence labeling of the cells/tissues, which may be undesired for their further culture or use. Here we developed a microelectromechanical system (MEMS) to achieve label-free on-chip selective extraction of cell-aggregate-laden hydrogel microcapsules from oil into aqueous solution. The system includes a microfluidic device, an optical sensor, a dielectrophoretic (DEP) actuator, and microcontrollers. The microfluidic device is for encapsulating cell aggregates in hydrogel microcapsules using the flow-focusing function with microchannels for extracting microcapsules. The optical sensor is to detect the cell aggregates, based on the difference of the optical properties between the cell aggregates and surrounding solution before their encapsulation in hydrogel microcapsules. This strategy is used because the difference in optical property between the cell-aggregate-laden hydrogel microcapsules and empty microcapsules is too small to tell them apart with a commonly used optical sensor. The DEP actuator, which is controlled by the sensor and microcontrollers, is for selectively extracting the targeted hydrogel microcapsules by DEP force. The results indicate this system can achieve selective extraction of cell-aggregate-laden hydrogel microcapsules with ∼100% efficiency without compromising the cell viability, and can improve the purity of the cell-aggregate-laden microcapsules by more than 75 times compared with nonselective extraction.

Integrated Multiscale Biomaterials Experiment and Modeling

The integration of modeling and experimentation is an integral component of all engineering design. Developing the technologies to achieve this represents a critical challenge in biomaterials because of the hierarchical structures that comprise them and the spectra of timescales upon which they operate. Progress in integrating modeling and experiment in biomaterials represents progress towards harnessing them for engineering application. We present here a summary of the state of the art, and outlooks for the field as a whole.