3D Cell Research Articles

Integrating holotomography and deep learning for rapid detection of NPM1 mutations in AML

Rapid and accurate diagnosis of acute myeloid leukemia (AML) remains a significant challenge, particularly in the context of myelodysplastic syndrome (MDS) or MDS/myeloproliferative neoplasm with NPM1 mutations. This study introduces an innovative approach using holotomography (HT), a 3D label-free quantitative phase imaging technique, to detect NPM1 mutations. We analyzed a dataset of 2073 HT myeloblast images from 48 individuals, including both NPM1 wild-type and mutated samples, to distinguish subcellular morphological changes associated with NPM1 mutations. Employing a convolutional neural network, we analyzed 3D cell morphology, focusing on refractive index distributions. The machine learning model showed high accuracy, with an area under the receiver operating characteristic curve of 0.9375 and a validation accuracy of 76.0%. Our findings reveal distinct morphological differences between the NPM1 wild-type and mutation at the subcellular level. This study demonstrates the potential of HT combined with deep learning for early, efficient, and cost-effective diagnosis of AML, offering a promising alternative to traditional stepwise genetic testing methods and providing additional assistance in morphological myeloblast discrimination. This approach may revolutionize the diagnostic process in leukemia, facilitating early detection and potentially reducing the reliance on extensive genetic testing.

Exploring the Bioactive Potential of Taraxacum officinale F.H. Wigg Aerial Parts on MDA Breast Cancer Cells: Insights into Phytochemical Composition, Antioxidant Efficacy, and Gelatinase Inhibition within 3D Cellular Models

In this work, aerial parts of Taraxacum officinale F.H. Wigg. produced in Umbria, Italy, were chemically investigated by solid-phase microextraction/gas chromatography–mass spectrometry (SPME/GC-MS) to describe their volatile profile. The results obtained showed the preponderant presence of monoterpenes, with limonene and 1,8-cineole as the main components. Further analyses by GC/MS after derivatization reaction were performed to characterize the non-volatile fraction highlighting the presence of fatty acids and di- and triterpenic compounds. T. officinale methanol and dichloromethane extracts, first analyzed by HRGC/MS, were investigated to evaluate the antioxidant activity, cytotoxicity, and antiproliferative properties of MDA cells on the breast cancer cell line and MCF 10A normal epithelial cells as well as the antioxidant activity by colorimetric assays. The impact on matrix metalloproteinases MMP-9 and MMP-2 was also explored in 3D cell systems to investigate the extracts’ efficacy in reducing cell invasiveness. The extracts tested showed no cytotoxic activity with EC50 > 250 µg/mL on both cell lines. The DPPH assay revealed higher antioxidant activity in the MeOH extract compared with the DCM extract, while the FRAP assay showed a contrasting result, with the DCM extract exhibiting slightly greater antioxidant capacity. After treatment for 24 h with a non-cytotoxic concentration of 500 µg/mL of the tested extracts, gelatin zymography and Western blot analyses demonstrated that both MeOH and DCM extracts influenced the expression of MMP-9 and MMP-2 in MDA cells within the 3D cell model, leading to a significant decrease in the levels of these gelatinases, which are crucial markers of tumor invasiveness.

Auranofin loaded silk fibroin nanoparticles for colorectal cancer treatment.

Colorectal cancer (CRC) is the second most common cause of cancer related deaths worldwide and the prevalence in young people especially is increasing annually. In the search for innovative approaches to treat the disease, drug delivery systems (DDS) are promising owing to their unique properties, which allow improved therapeutic results with lower drug concentrations, overcoming drug resistance and at the same time potentially reducing side effects. Silk fibroin is a biopolymer that can be processed to obtain biocompatible and biodegradable nanoparticles that can be efficiently loaded by surface adsorption with small-molecule therapeutics and allow their transport and sustained release by modulating their pharmacokinetics. Auranofin (AF) has recently been repurposed for its strong anticancer activity and is currently in clinical trials. Its mechanism of action is through the inhibition of thioredoxin reductase enzymes, which play an essential role in several intracellular processes and are overexpressed in some tumours. Taking into account that AF has a low solubility in water, we propose silk fibroin nanoparticles (SFN) as AF carrier in order to improve its bioavailability, increasing cellular absorption and preventing its degradation or avoiding some resistance mechanisms. Here we report the preparation and characterization of a new formulation of AF-loaded silk fibroin nanoparticles (SFN-AF), its functionalization with FITC for the analysis of cellular uptake, as well as its cytotoxic activity against cell lines of human colorectal cancer (HT29 and HCT116) in both 2D and 3D cell cultures. 3D spheroid models provide a 3D environment which mimics the 3D aspects of CRC observed in vivo and represents an effective 3D environment to screen therapeutics for the treatment of CRC. The loaded nanoparticles showed a spherical morphology with a hydrodynamic diameter of ~ 160nm and good stability in aqueous solution due to their negative surface charges. FESEM-EDX analysis revealed a homogeneous distribution of Au clusters with high electron density on the surface of the nanoparticles. SFN-AF incubated in phosphate buffer at 37°C released 77% of the loaded AF over 10 days, showing an initial burst and then sustained release. Flow cytometry analysis showed that FITC-SFN-AF was efficiently internalized by both cell lines, which was confirmed by confocal microscopy imaging. SFN enhanced the cytotoxicity of AF in 2D cultures in both CRC lines. Promising results were also obtained in 3D culture paving the way for future application of this strategy as a therapy for CRC.

TGF-β effects on adipogenesis of 3T3-L1 cells differ in 2D and 3D cell culture conditions.

The TGF-β superfamily plays a pivotal role in the regulation of adipogenesis, but little is known about the potential differential role of the three isoforms of TGF-β, TGF-β-1~3. To further elucidate their role, two-dimensionally (2D) and three-dimensionally (3D) cultured 3T3-L1 mouse preadipocytes were subjected to the following analyses: (a) qPCR analysis of adipogenesis-related factors and major extracellular matrix protein (2D and /or 3D), (b) lipid staining by Oil Red O (2D) or BODIPY (3D), (c) Seahorse cellular metabolic measurement (2D), and (d) size and stiffness measurements of 3D 3T3-L1 spheroids. In the 2D cultured 3T3-L1 cells, mRNA expression levels of adipogenesis-related genes and Oil Red O lipid staining intensity were significantly increased by adipogenesis and they were substantially decreased following treatment with 0.1 nm TGF-β isoforms, with TGF-β2 having the greater effects. Consistent with these results, treatment with TGF-β2 resulted in suppression of mitochondrial and glycolytic functions in 2D cultured 3T3-L1 cells. However, the inhibitory effect of TGF-β on adipogenesis decreased under 3D spheroid culture conditions and TGF-β isoforms did not affect adipogenesis-induced (a) enlargement and downsizing of 3T3-L1 spheroids, (b) increase in BODIPY lipid staining intensity, and (c) up-regulation of the mRNA expression of adipogenesis-related genes. The findings presented herein suggest that the three TGF-β isoforms have different suppressive effects on adipogenesis-related cellular properties of 2D cultured 3T3-L1 cells and that their effects decrease under 3D spheroid culture conditions.

Palladium(II) and platinum(II) thiophene-based thiosemicarbazones: Synthesis, properties, and anticancer studies

The aim of this study was to synthesize and investigate the cytotoxic profile of four palladium(II) and two platinum(II) complexes containing thiosemicarbazones derived from thiophene against tumor cells. They were fully characterized by various analytical techniques, including 1H, 13C{1H}, 31P{1H}, 135DEPT NMR, IR, UV–vis, X-ray diffraction, molar conductivity, and theoretical. Several techniques were used to evaluate the interaction of the complexes with DNA, such as gel electrophoresis, UV–vis spectroscopy, circular dichroism, viscosity measurements, fluorescence assay with Hoescht 33,258, and molecular docking. The results indicated that the complexes exhibited electrostatic and/or groove interaction with DNA, but only at high concentrations (100 µM). In vitro, cytotoxicity assays were performed using the MTT method, and the palladium(II) complexes showed remarkable cytotoxic activity against A549 and A2780cis cell lines. In particular, the PdT compound showed cytostatic behavior against the A549 tumor line, while the PdCH3 compound showed cytotoxic behavior against the A2780cis line. Further investigation of the most promising compound, PdCH3, in A2780cis revealed that it induced apoptosis by promoting cell accumulation in the sub-G1 phase and causing partial mitochondrial membrane depolarization. In addition, this complex significantly inhibited colony formation, leading to significant changes in cell morphology. However, no inhibition of cell migration was observed in the 3D cell model of DAOY cells. These findings provide valuable insights and structural features for the design of selective palladium complexes targeting ovarian tumor cells (A2780cis). The study highlights the potential of these complexes as cytotoxic agents against specific cancer cell lines, paving the way for future advances in medicinal chemistry research.

8468 Development And Characterisation Of Three-Dimensional Cell Culture Models Of Adrenocortical Carcinoma

Abstract Disclosure: S. Feely: None. N. Mullen: None. P. Donlon: None. C. Hantel: None. M.C. dennedy: None. Adrenocortical carcinoma (ACC) is a rare malignancy carrying a poor prognosis and limited treatment options. Surgical resection is the only option for cure; but unsuitable for advanced disease. Mitotane is the approved medical therapy, but associated with treatment resistance and adverse effects. Newer therapies, such as immune checkpoint inhibitors, have limited success. Development of improved therapies is limited by current pre-clinical disease models. No available model reflects the tumour micro-environment. Three-dimensional (3D) cell culture models are increasingly used in cancer research (6), with a paucity of developed models in ACC. In the current study, we developed novel 3D models of ACC using a type-1 collagen matrix. We then characterised these as representative ACC disease models . 3D cell culture models of ACC were optimised by embedding ACC cell lines, MUC-1, HAC15 and H295R within a type-1 Collagen matrix at differing cell numbers. Expression of type-1 collagen in ACC primary tumours was determined using immunohistochemistry (n=4). Cell viability for each model was assessed by evaluating sytox blue staining by Flow Cytometry. Metabolic activity of ACC cells within the matrix was determined using AlamarBlue staining. Prolferative activity was assessed using Ki67. Steroidogenesis was evaluated by measuring cortisol, aldosterone and androstenedione using LC-MS/MS.. Expression of CYP11B1, CYP11B2 CYP17, and StAR was measured using RT-qPCR. Type 1 collagen is strongly expressed in ACC tumour microenvironment. MUC-1, H295R and HAC15 cells were successfully cultured in a type 1 collagen matrix. MUC-1 cells cultured in the collagen matrix remain viable throughout the period of experimentation with optimum viability between 14 and 21 days. H295R cells also remain viable with optimum viability at an earlier stage of 7-14 days. HAC15 cells demonstrate high resilience in 3D cell culture with maximum viability throughout the entire period of experimentation up to 21 days. All three models increase their metabolic and proliferative activity over time. All three steroids are expressed by all three models with an increase in aldosterone secretion observed in 3D HAC15 and H295R models compared to monolayer (p>0.001) at days 7 and 14. All models express key steroidogenic enzymes. 3D ACC cell culture models were developed successfully using collagen type 1 abundant in ACC. Typical characteristics of the ACC tumour environment included (i) the presence of live and necrotic cells (ii) high metabolic activity and proliferation, reflective of cell turnover.. Capacity of cells to spread and proliferate within the 3D cell culture models was limited by available collagen substrate. Steroidogenic capacity was demonstrated in 3D cell culture. This model therefore retained key characteristics of ACC and shows promise as an animal-sparing, pre-clinical model. Presentation: 6/1/2024

Characterization and property prediction of fibre structures within discontinuous-fibre reinforced polymer matrix composites using 3D fibre cells assisted by contrastive learning

Fibre-cell-based fibre structure characterization approach was proposed recently to characterize the fibre distribution within discontinuous-fibre reinforced polymer matrix composites (DFR PMCs) over a 2D domain. This approach determines the distribution state of each fibre based on the relative size and topological features of its fibre cell. In this study, the fibre-cell-based approach is extended for 3D fibre domains. A convolutional neural network (CNN) encoder is trained through contrastive learning to quantitatively represent topological features of 3D fibre cells. Subsequently, the feature–property correlations are established using an artificial neural network (ANN). For practical application, the ANN is integrated with an image analysis software to provide in situ predictions of local elastic modulus of a DFR PMC based on its fibre structures observed from micro-CT images. The predictions are also compared with the experimental measurements acquired through microindentation testing, and it shows a good agreement.

3D-Printable Gelatin Methacrylate-Xanthan Gum Hydrogel Bioink Enabling Human Induced Pluripotent Stem Cell Differentiation into Cardiomyocytes.

We describe the development of a bioink to bioprint human induced pluripotent stem cells (hiPSCs) for possible cardiac tissue engineering using a gelatin methacrylate (GelMA)-based hydrogel. While previous studies have shown that GelMA at a low concentration (5% w/v) allows for the growth of diverse cells, its 3D printability has been found to be limited by its low viscosity. To overcome that drawback, making the hydrogel both compatible with hiPSCs and 3D-printable, we developed an extrudable GelMA-based bioink by adding xanthan gum (XG). The GelMA-XG composite hydrogel had an elastic modulus (~9 kPa) comparable to that of cardiac tissue, and enabled 3D printing with high values of printing accuracy (83%) and printability (0.98). Tests with hiPSCs showed the hydrogel's ability to promote their proliferation within both 2D and 3D cell cultures. The tests also showed that hiPSCs inside hemispheres of the hydrogel were able to differentiate into cardiomyocytes, capable of spontaneous contractions (average frequency of ~0.5 Hz and amplitude of ~2%). Furthermore, bioprinting tests proved the possibility of fabricating 3D constructs of the hiPSC-laden hydrogel, with well-defined line widths (~800 μm).

Machine Learning-Based Investigation of Atomic Packing Effects: Chemical Pressures at the Extremes of Intermetallic Complexity.

Intermetallic phases represent a domain of emergent behavior, in which atoms with packing and electronic preferences can combine into complex geometrical arrangements whose long-range order involves repeat patterns containing thousands of atoms or is incompatible with a 3D unit cell. The formation of such arrangements points to unexplained driving forces within these systems that, if understood, could be harnessed in the design of new metallic materials. DFT-chemical pressure (CP) analysis has emerged as an approach to visualize how atomic packing tensions within simpler crystal structures can drive this complexity and create potential functionality. However, the applications of this method have hitherto been limited in scope by its dependence on resource-intensive electronic structure calculations. In this Article, we develop machine learning (ML)-based implementation of the CP approach, drawing on the collection of DFT-CP schemes in the Intermetallic Reactivity Database. We illustrate the method with comparisons of ML-CP and DFT-CP schemes for a series of examples, before demonstrating its application with an exploration of one of the quintessential instances of complexity in intermetallic chemistry, Mg2Al3, whose high-temperature unit cell is a 2.8 nm cube containing 1227 atoms. An analysis of its ML-CP-derived interatomic pressures traces the origins of the structure to simple matching rules for the assembly of Frank-Kasper polyhedra. The ML-CP model can be immediately employed on other intermetallic systems, through either its web interface or a command-line version, with just a crystallographic information file.

Etch characteristics of maskless oxide/nitride/oxide/nitride (ONON) stacked structure using C4H2F6-based gas

Oxide/Nitride/Oxide/Nitride (ONON; SiO2/SiNx/SiO2/SiNx) stacked structure is widely used in the 3D vertical structure of semiconductor cells. Previously, to form a 3D cells, photoresist (PR) was patterned and repeatedly trimmed on the top of ONON after the etching of one ON layer. Due to the time-consuming process of etching layer-by-layer of ON layer, two-step etch processing using C4F8-based or C4F6-based gases composed of maskless ONON stack feature etching and followed one ON layer-by layer etching by PR trimming in the ONON stack feature are employed these days. However, the two-step etching method resulted in poor etch profiles of maskless ONON stack feature in addition to high global warming potential of C4F8 and C4F6. In this study, we investigated the etching of maskless ONON stack feature using C4H2F6-based gas having a low global warming potential and the effects of C4H2F6-based gas on the etch characteristics of maskless ONON stack feature such as etch rate, etch profile, change in critical dimensional (CD), and etch selectivity between SiO2 and SiNx have been investigated. C4H2F6-based gas showed the highest etch rates compared to C4F6 and C4F8-based gases in addition to the etch selectivity of ~ 1:1 between SiO2 and SiNx due to hydrogen included in the gas structure. In addition, the change in horizontal CD was lower in the order of C4H2F6, C4F6, and C4F8-based gases due to the more effective sidewall passivation in the order of C4F8, C4F6, and C4H2F6-based gases. The thicker carbon-based polymer layer on the sidewall also played an important role in maintaining the shape of the top edge shape of maskless ONON stack feature when etching a line feature in an environment without a mask.

Barrier-free, open-top microfluidic chip for generating two distinct, interconnected 3D microvascular networks

Developing microphysiological cell culture platforms with a three-dimensional (3D) microenvironment has been a significant advancement from traditional monolayer cultures. Still, most of the current microphysiological platforms are limited in closed designs, i.e. are not accessible after 3D cell culture loading. Here, we report an open-top microfluidic chip which enables the generation of two sequentially loaded 3D cell cultures without physical barriers restricting the nurture, gas exchange and cellular communication. As a proof-of-concept, we demonstrated the formation of two 3D vasculatures, one in the upper and the other in the lower compartment, under three distinct flow conditions: asymmetric side-to-center, symmetric side-to-center and symmetric center-to-side. We used computational modelling to characterize initial flow pressures in cell culture compartments. We showed prominent vessel formation and branched vasculatures in upper and lower cell culture compartments with interconnecting, lumenized vessels with in vivo-relevant diameter in all flow conditions. With advanced image processing, we quantified and compared the overall vascular network volume and the total length formed in asymmetric side-to-center, symmetric side-to-center and symmetric center-to-side flow conditions. Our results indicate that the developed chip can house two distinct 3D cell cultures with merging vessels between compartments and by providing asymmetric side-to-center or symmetric center-to-side flow vascular morphogenesis is enhanced in terms of overall network length. The developed open-top microfluidic chip may find various applications in generation of tissue-specific 3D-3D co-cultures for studying cellular interactions in vascularized tissues and organs.

In vitro drug testing using patient-derived ovarian cancer organoids

BackgroundOvarian cancer is the most lethal gynecological cancer. As the primary treatment, chemotherapy has a response rate of only 60–70% in advanced stages, and even lower as a second-line treatment. Despite guideline recommendations, which drugs will be most effective remains unclear. Thus, a strategy to prioritize chemotherapy options is urgently needed. Cancer organoids have recently emerged as a method for in vitro drug testing. However, limited clinical correlations have been assessed with test results from cancer organoids, particularly in gynecological cancers. We therefore aimed to generate patient-derived organoids (PDOs) of ovarian cancer, to assess their drug sensitivities and correlations with patient clinical outcomes.MethodsPDOs were generated from fresh tumors obtained during surgical resection, which was then cultured under matrix gel and appropriate growth factors. Morphological and molecular characterization of PDOs were assessed by phase contrast microscopy and paraffin-embedded histopathology. Expressions of PAX8, TP53, WT1, CK7, and CK20 were tested by immunohistochemical staining and compared with parental tumor tissues and the human protein atlas database. PDOs were subjected to in vitro drug testing to determine drug sensitivity using Titer-Glo® 3D Cell Viability Assay. PDO viability was measured, and area under the curve calculated, to compare responses to various compounds. Correlations were calculated between selected patients’ clinical outcomes and in vitro drug testing results.ResultsWe established 31 PDOs. Among them, 28 PDOs can be expanded, including 15, 11, and 2 from ovarian, endometrial, and cervical cancers, respectively. The PDOs preserved the histopathological profiles of their originating tumors. In vitro drug testing of 10 ovarian cancer PDOs revealed individual differential responses to recommended drugs, and interpersonal heterogeneity in drug sensitivity, even with the same histology type. Among four patients who were platinum sensitive, resistant, or refractory, PDO drug responses correlated well with their clinical courses.ConclusionIn vitro drug testing using ovarian cancer organoids is feasible and correlates well with patient clinical responses. These results may facilitate development of precision chemotherapy and personalized screening for repurposed or new drugs.

Reassessment of marker genes in human induced pluripotent stem cells for enhanced quality control

Human induced pluripotent stem cells (iPSCs) have great potential in research, but pluripotency testing faces challenges due to non-standardized methods and ambiguous markers. Here, we use long-read nanopore transcriptome sequencing to discover 172 genes linked to cell states not covered by current guidelines. We validate 12 genes by qPCR as unique markers for specific cell fates: pluripotency (CNMD, NANOG, SPP1), endoderm (CER1, EOMES, GATA6), mesoderm (APLNR, HAND1, HOXB7), and ectoderm (HES5, PAMR1, PAX6). Using these genes, we develop a machine learning-based scoring system, “hiPSCore”, trained on 15 iPSC lines and validated on 10 more. hiPSCore accurately classifies pluripotent and differentiated cells and predicts their potential to become specialized 2D cells and 3D organoids. Our re-evaluation of cell fate marker genes identifies key targets for future studies on cell fate assessment. hiPSCore improves iPSC testing by reducing time, subjectivity, and resource use, thus enhancing iPSC quality for scientific and medical applications.

Impact of perfusion on neuronal development in human derived neuronal networks.

Advanced in vitro models of the brain have evolved in recent years from traditional two-dimensional (2D) ones, based on rodent derived cells, to three-dimensional (3D) ones, based on human neurons derived from induced pluripotent stem cells. To address the dynamic changes of the tissue microenvironment, bioreactors are used to control the in vitro microenvironment for viability, repeatability, and standardization. However, in neuronal tissue engineering, bioreactors have primarily been used for cell expansion purposes, while microfluidic systems have mainly been employed for culturing organoids. In this study, we explored the use of a commercial perfusion bioreactor to control the culture microenvironment of neuronal cells in both 2D and 3D cultures. Namely, neurons differentiated from human induced pluripotent stem cells (iNeurons) were cultured in 2D under different constant flow rates for 72 h. The impact of different flow rates on early-stage neuronal development and synaptogenesis was assessed by morphometric characterization and synaptic analysis. Based on these results, two involving variable flow rates were developed and applied again in 2D culture. The most effective protocol, in terms of positive impact on neuronal development, was then used for a preliminary study on the application of dynamic culturing conditions to neuronal cells in 3D. To this purpose, both iNeurons, co-cultured with astrocytes, and the human neuroblastoma cells SH-SY5Y were embedded into a hydrogel and maintained under perfusion for up to 28 days. A qualitative evaluation by immunocytochemistry and confocal microscopy was carried out to assess cell morphology and the formation of a 3D neuronal network.

Enhanced Osteogenesis in 2D and 3D Culture Systems Using RGD Peptide and α-TCP Phase Transition within Alginate-Based Hydrogel.

Cell-laden hydrogels have been extensively investigated in various tissue engineering fields bytheir potential capacity to deposit numerous types of cells in a specific area. They are largely used in soft-tissue engineering applications because of their low mechanical strength. In addition, sodium alginate is well-known for its encapsulation, loading capacity and for being easily controllable; however, it lacks cell-binding ligands and hence the ability to adhere cells. In this study, it is aimed to enhance osteogenesis in cells encapsulated in alginate and improve its mechanical properties by introducing a synthetic peptide and calcium phosphate phase transition. To increase cell-hydrogel interactions and increasing cell viability, an RGD peptide is added to a photocrosslinkable methacrylate-modified alginate, and alpha-tricalcium phosphate (α-TCP) is added to the hydrogel to increase its mechanical strength via phase transition. Cell proliferation, growth, and differentiation are assessed in both 2D and 3D cell cultures. The addition of α-TCP significantly improved the mechanical properties of the hydrogel. Moreover, the RGD peptide and α-TCP showed a synergistic effect with significantly improved cell adhesion and osteogenesis in both 2D and 3D cell cultures. Therefore, the functional hydrogel developed in this study can potentially be used for bone tissue regeneration.

Construction of a lung cancer 3D culture model based on alginate/gelatin micro-beads for drug evaluation.

Lung cancer is one of the most common malignant tumors worldwide. Despite advances in lung cancer treatment, patients still face challenges related to drug resistance and recurrence. Current methods for evaluating anti-cancer drug activity are insufficient, as they rely on two-dimensional (2D) cell culture and animal models. Therefore, the development of an in vitro drug evaluation model capable of predicting individual sensitivity to anti-cancer drugs would greatly enhance the success rate of drug treatments for lung cancer patients. The purpose of this research is to utilise conditional reprogramming technology to cultivate patient-derived lung cancer cells and to construct an in vitro 3D culture model using sodium alginate (SA) and gelatin. The aim is to study the biological characteristics of cells in the 3D culture model and to further investigate the sensitivity of anti-cancer drugs based on the alginate-gelatin 3D culture model. This approach provides new means and insights for personalized precision anti-cancer therapy and the development of new anti-cancer drugs. Conditional reprogramming technology was used to generate conditionally reprogrammed lung adenocarcinoma cells (CRLCs). Alginate-gelatin hydrogel micro-beads were created to explore their potential use in the assessment of anti-cancer drugs. Cell proliferation was also examined using the MTS assay method. Live/dead staining was performed to estimate cell distribution and viability using calcein acetoxymethyl ester/propidium iodide (calcein-AM/PI) double staining. Protein expression was assessed by Western blot. The cells grown in the three-dimensional (3D) culture were in a state of continuous proliferation, and there was an obvious phenomenon of cell mass growth. The drug sensitivity assay results demonstrated that compared with the 2D-grown cells, the CRLCs grown in the alginate-gelatin hydrogel micro-beads exhibited more resistance to anti-cancer drugs. The results also showed that the 3D-cultured CRLCs showed greater protein expression levels of stem cell hallmarks, such as Nanog Homeobox (NANOG), SRY-Box Transcription Factor 2 (SOX-2), and aldehyde dehydrogenase 1 family member A1 (ALDH1A1), than the 2D-grown cells. These findings suggest that the 3D hydrogel cell culture models more closely mimicked the in vivo biological and clinical behavior of cells, and demonstrated higher innate resistance to anti-cancer drugs than the 2D cell culture models, and thus could serve as valuable tools for diagnosis, drug screening, and personalized medicine.

Designing spongy-bone-like cellular materials: Matched topology and anisotropy

Bone is a natural material with properties such as high specific stiffness and strength. These exceptional mechanical properties are attributed to the meso-scale structure and elastic anisotropy of spongy bone. Replicating the topological traits and mechanical properties of spongy bone presents a novel opportunity to develop high-performance cellular materials. To achieve this, we propose an innovative framework for designing biomimetic cellular materials that match the trabecular structure and elastic anisotropy of spongy bone. This framework introduces a forward-flow design process that utilizes gradient-based feature tuning on a low-dimensional feature vector, transforming the complex inverse design problem into an efficient iterative process. A key innovation in our approach is the use of a pre-trained generative model, SliceGAN, to reconstruct 3D unit cells from 2D micro-CT images. This significantly reduces the cost and time associated with traditional layer-by-layer CT scans typically required for 3D training data. Numerical homogenization is then used to determine the effective elastic stiffness matrix, and a Fourier neural operator is trained to predict these matrices efficiently, greatly enhancing the computational efficiency of the design process. Using this framework, we successfully designed unit cells with topological traits and elastic anisotropy that closely approximate those of natural spongy bone. This opens new avenues for developing spongy-bone-mimetic cellular materials with exceptional mechanical properties. Moreover, the framework's versatility allows it to be extended to the design of other bio-inspired cellular materials.

Scaffold-free 3D culture systems for stem cell-based tissue regeneration.

Recent advances in scaffold-free three-dimensional (3D) culture methods have significantly enhanced the potential of stem cell-based therapies in regenerative medicine. This cutting-edge technology circumvents the use of exogenous biomaterial and prevents its associated complications. The 3D culture system preserves crucial intercellular interactions and extracellular matrix support, closely mimicking natural biological niches. Therefore, stem cells cultured in 3D formats exhibit distinct characteristics, showcasing their capabilities in promoting angiogenesis and immunomodulation. This review aims to elucidate foundational technologies and recent breakthroughs in 3D scaffold-free stem cell engineering, offering comprehensive guidance for researchers to advance this technology across various clinical applications. We first introduce the various sources of stem cells and provide a comparative analysis of two-dimensional (2D) and 3D culture systems. Given the advantages of 3D culture systems, we delve into the specific fabrication and harvesting techniques for cell sheets and spheroids. Furthermore, we explore their applications in pre-clinical studies, particularly in large animal models and clinical trials. We also discuss multidisciplinary strategies to overcome existing limitations such as insufficient efficacy, hostile microenvironments, and the need for scalability and standardization of stem cell-based products.

Photo/thermo-sensitive chitosan and gelatin-based interpenetrating polymer network for mimicking muscle tissue extracellular matrix

The dynamic interplay between extracellular matrix (ECM), its 3D architecture and resident cells plays a pivotal role in cell behavior influencing essential processes like proliferation, migration, and differentiation. Matrix-based 3D culture systems have emerged as valuable tools to model organ and tissue interactions in vitro. A 3D matrix analog must possess high biocompatibility and fully reproduce the characteristics of the native tissue in terms of mechanical properties. In this regard, interpenetrating polymer networks (IPNs) are particularly attractive because of the high tunability of their physicochemical properties. In this study, a chitosan (Ch) and modified gelatin (GelMA) IPN with a sol-gel transition triggered by two external physical stimuli, UV light and temperature, was designed to mimic the muscle tissue ECM in terms of mechanical stiffness. The system was deeply characterized demonstrating to support not only the growth and viability of muscle cells embedded within the hydrogel, but also cell differentiation toward muscle phenotype.

397 (PB385): High-Throughput 2D and 3D Cell Panel screening to facilitate RAS target drug Discovery and development

397 (PB385): High-Throughput 2D and 3D Cell Panel screening to facilitate RAS target drug Discovery and development