Organoid Models and Next-Generation Sequencing for Bone Marrow and Related Disorders DOI Creative Commons
Magdalena Rausch, Neelam Iqbal, Shelly Pathak

et al.

Organoids, Journal Year: 2023, Volume and Issue: 2(3), P. 123 - 139

Published: July 1, 2023

Challenges to the musculoskeletal system negatively impact quality of life people suffering from them, leading pain, a decline in mobility, genetic alterations, and potential disorders. The bone marrow (BM) forms an integral part responsible for erythropoiesis optimal survival various immune stem cells within BM. However, due its dynamic complex three-dimensional (3D) structure, replicating BM physiologically traditional two-dimensional (2D) cell culture settings is often challenging, giving rise need 3D vitro models better dissect regeneration. Several researchers globally have been investigating approaches define appropriate model their research. Organoids are novel preclinical that provide platform several tissues analysed using next-generation sequencing (NGS) identify new molecular pathways at level. organoids increasingly considered important platforms precision medicine. This review outlines current knowledge organoid We also discuss different types which may be more adaptable Finally, we critically NGS techniques used such future combination these techniques.

Language: Английский

Omics-based molecular classifications empowering in precision oncology DOI
Zhaokai Zhou,

Ting Lin,

Shuang Chen

et al.

Cellular Oncology, Journal Year: 2024, Volume and Issue: 47(3), P. 759 - 777

Published: Jan. 31, 2024

Language: Английский

Citations

9
Automated Nanodroplet Dispensing for Large-Scale Spheroid Generation via Hanging Drop and Parallelized Lossless Spheroid Harvesting DOI Creative Commons
Viktoria Zieger,

Ellen Woehr,

Stefan Zimmermann

et al.

Micromachines, Journal Year: 2024, Volume and Issue: 15(2), P. 231 - 231

Published: Jan. 31, 2024

Creating model systems that replicate in vivo tissues is crucial for understanding complex biological pathways like drug response and disease progression. Three-dimensional (3D) vitro models, especially multicellular spheroids (MCSs), offer valuable insights into physiological processes. However, generating MCSs at scale with consistent properties efficiently recovering them pose challenges. We introduce a workflow automates large-scale spheroid production enables parallel harvesting individual wells of microtiter plate. Our method, based on the hanging-drop technique, utilizes non-contact dispenser dispensing nanoliter droplets uniformly mixed-cell suspension. The setup allows extended processing times up to 45 min without compromising quality. As proof concept, we achieved 99.3% generation efficiency maintained highly sizes, coefficient variance below 8% MCF7 spheroids. centrifugation-based drop transfer sample recovery 100%. successfully transferred HT29 from hanging drops preloaded collagen matrices, where they continued proliferate. This high-throughput opens new possibilities prolonged cultivation, advanced downstream assays, increased hands-off time 3D cell culture protocols.

Language: Английский

Citations

7
1,3,5-Triaza-7-phosphaadamantane and Cyclohexyl Groups Impart to Di-Iron(I) Complex Aqueous Solubility and Stability, and Prominent Anticancer Activity in Cellular and Animal Models DOI
Michele De Franco, Lorenzo Biancalana,

Chiara Zappelli

et al.

Journal of Medicinal Chemistry, Journal Year: 2024, Volume and Issue: 67(13), P. 11138 - 11151

Published: July 1, 2024

Using a multigram-scalable synthesis, we obtained nine dinuclear complexes based on nonendogenous iron(I) centers and featuring variable aminocarbyne P-ligands. One compound from the series (FEACYP) emerged for its strong cytotoxicity in vitro against four human cancer cell lines, surpassing activity of cisplatin by 3–6 times three with an average selectivity index 6.2 compared to noncancerous HEK293 cells. FEACYP demonstrated outstanding water solubility (15 g/L) stability physiological-like solutions. It confirmed superior antiproliferative when tested 3D spheroids pancreatic cells showed capacity inhibit thioredoxin reductase (TrxR) similar auranofin. In vivo treatment murine LLC carcinoma (8 mg kg–1 dose) led excellent tumor growth suppression (88%) day 15, no signs systemic toxicity only limited body weight loss.

Language: Английский

Citations

7
Current trends and future prospects of drug repositioning in gastrointestinal oncology DOI Creative Commons
Nayeralsadat Fatemi, Mina Karimpour,

Hoda Bahrami

et al.

Frontiers in Pharmacology, Journal Year: 2024, Volume and Issue: 14

Published: Jan. 4, 2024

Gastrointestinal (GI) cancers comprise a significant number of cancer cases worldwide and contribute to high percentage cancer-related deaths. To improve survival rates GI patients, it is important find implement more effective therapeutic strategies with better prognoses fewer side effects. The development new drugs can be lengthy expensive process, often involving clinical trials that may fail in the early stages. One strategy address these challenges drug repurposing (DR). Drug developmental involves using existing approved for other diseases leveraging their safety pharmacological data explore potential use treating different diseases. In this paper, we outline associated DR as promising alternative approach. We have presented an extensive review methodologies, research efforts examples repurposed within various types, such colorectal, pancreatic liver cancers. Our aim provide comprehensive overview employing approach inform future endeavors field.

Language: Английский

Citations

6
Synergistic eradicating impact of 5-fluouracil with FeO nanoparticles-diethyldithiocarbamate in colon cancer spheroids DOI
Marwa M. Abu‐Serie

Nanomedicine, Journal Year: 2024, Volume and Issue: 19(11), P. 979 - 994

Published: April 5, 2024

Background: Cancer stem cells' (CSCs) resistance to 5-fluorouracil (Fu), which is the main obstacle in treating colon cancer (CC), can be overcome by ferroptosis. The latter, herein, triggered FeO nanoparticles (inducer of iron accumulation) and diethyldithiocarbamate-inhibited glutathione system aldehyde dehydrogenase (ALDH1A1-maintained stemness, therapeutic metastasis). Materials & methods: Nanocomplex diethyldithiocarbamate (FD) was used combination with Fu investigate its potential synergistic anti-CSC influence using CC spheroid models. Results: In + FD-treated spheroids, strongest growth inhibition, highest cell death percentage, lowest CD133+-CSCs percentage stemness gene expressions (e.g., drug efflux transporter), antimetastatic effect were recorded high indexes. Conclusion: FD represents effective therapy for chemoresistant cells.

Language: Английский

Citations

6
Light‐Responsive Nanoantennas Integrated into Nanoscale Metal–Organic Frameworks for Photothermal Drug Delivery DOI
Manuela Cedrún‐Morales, Manuel Ceballos, Enrica Soprano

et al.

Small Science, Journal Year: 2024, Volume and Issue: 4(8)

Published: May 10, 2024

Nanoscale metal-organic frameworks (NMOFs) exhibit unique properties for drug delivery, including ultrahigh storage capabilities, biocompatibility, biodegradability, and sustained release of encapsulated cargo. However, due to their localized electronic states, MOFs are nonresponsive external stimuli such as light or magnetic fields. This study investigates the integration light-responsive nanoantennas into NMOFs enhance application smart delivery nanosystems. By integrating gold bipyramid within ZIF-8 NU-1000 NMOFs, core@shell nanosystems created with photothermal capabilities. Utilizing cresyl violet a model drug, loading dynamics these analyzed, demonstrating controlled under near-infrared (NIR) stimulation. Photothermal studies conducted in living cells reveal potential nanocomposites spatiotemporal targeted, light-activated delivery. Further evaluation nanocomposite loaded chemotherapeutics-doxorubicin, carboplatin, oxaliplatin-in both 2D 3D cell cultures shows nanosystem effectiveness internalization therapeutic NIR activation. The findings demonstrate that incorporation stimuli-responsive elements offers promising approach developing advanced platforms.

Language: Английский

Citations

4
The Transformative Role of 3D Culture Models in Triple-Negative Breast Cancer Research DOI Open Access
Xavier S. Bittman‐Soto,

Evelyn S. Thomas,

Madeline Ganshert

et al.

Cancers, Journal Year: 2024, Volume and Issue: 16(10), P. 1859 - 1859

Published: May 13, 2024

Advancements in cell culturing techniques have allowed the development of three-dimensional (3D) culture models sourced directly from patients’ tissues and tumors, faithfully replicating native tissue environment. These provide a more clinically relevant platform for studying disease progression treatment responses compared to traditional two-dimensional (2D) models. Patient-derived organoids (PDOs) patient-derived xenograft (PDXOs) emerge as innovative 3D cancer capable accurately mimicking tumor’s unique features, enhancing our understanding tumor complexities, predicting clinical outcomes. Triple-negative breast (TNBC) poses significant challenges due its aggressive nature, propensity early metastasis, limited options. TNBC PDOs PDXOs significantly contributed comprehension TNBC, providing novel insights into underlying mechanism identifying potential therapeutic targets. This review explores transformative role various elucidating pathogenesis guiding strategies. It also provides an overview diverse models, derived lines highlighting their advantages challenges. Finally, it delves live-cell imaging techniques, endpoint assays, alternative media methodologies, such scaffold-free scaffold-based systems, essential advancing model research development.

Language: Английский

Citations

4
A Marine Collagen-Based 3D Scaffold for In Vitro Modeling of Human Prostate Cancer Niche and Anti-Cancer Therapeutic Discovery DOI Creative Commons
Won Hoon Song,

Ye Seon Lim,

Jieun Kim

et al.

Marine Drugs, Journal Year: 2024, Volume and Issue: 22(7), P. 295 - 295

Published: June 26, 2024

Recently, the need to develop a robust three-dimensional (3D) cell culture system that serves as valuable in vitro tumor model has been emphasized. This should closely mimic growth behaviors observed vivo and replicate key elements characteristics of human tumors for effective discovery development anti-tumor therapeutics. Therefore, this study, we developed an 3D prostate cancer (PC) using marine collagen-based biomimetic scaffold. The displayed distinctive molecular profiles cellular properties compared with those 2D PC culture. was evidenced by (1) increased proliferation, migration, invasion, colony formation, chemoresistance; (2) upregulated expression crucial multidrug-resistance- cancer-stemness-related genes; (3) heightened molecules associated malignant progressions, such epithelial-mesenchymal transition transcription factors, Notch, matrix metalloproteinases, pluripotency biomarkers; (4) enrichment stem cells (CSCs); (5) enhanced integrins. These results suggest our potential serve research platform studying CSC biology, well screening novel therapies targeting CSCs.

Language: Английский

Citations

4
Magnetism for mechanobiology and related biomedical applications DOI
B. Diény, R. Morel, H. Joisten

et al.

Physical Review Applied, Journal Year: 2025, Volume and Issue: 23(1)

Published: Jan. 21, 2025

Language: Английский

Citations

0
Deep Learning for Predicting Spheroid Viability: Novel Convolutional Neural Network Model for Automating Quality Control for Three-Dimensional Bioprinting DOI Creative Commons

ZARNAD SHEIKH,

Oliver B. Clarke, Amatullah Mir

et al.

Bioengineering, Journal Year: 2025, Volume and Issue: 12(1), P. 28 - 28

Published: Jan. 1, 2025

Spheroids serve as the building blocks for three-dimensional (3D) bioprinted tissue patches. When larger than 500 μm, desired size 3D bioprinting, they tend to have a hypoxic core with necrotic cells. Therefore, it is critical assess viability of spheroids in order ensure successful fabrication high-viability However, current assays are time-consuming, labor-intensive, require specialized training, or subject human bias. In this study, we build convolutional neural network (CNN) model efficiently and accurately predict spheroid viability, using phase-contrast image its input. A comprehensive dataset mouse mesenchymal stem cell (mMSC) varying sizes corresponding percentages, which was obtained through CCK-8 assays, established used train validate model. The trained automatically classify into one four distinct categories based on their predicted viability: 0–20%, 20–40%, 40–70%, 70–100%. achieved an average accuracy 92%, consistent loss below 0.2. This deep-learning offers non-invasive, efficient, accurate method streamline assessment quality, thereby accelerating development bioengineered cardiac patches cardiovascular disease therapies.

Language: Английский

Citations

0