Articles tagged with Cell Models
Researchers have developed brain cell models of neurons and astrocytes to better understand the mechanisms of Sanfilippo C syndrome. The studies show that these cell models can reproduce the main features of the disease, allowing for the assessment of potential therapies.
Researchers at Tufts University developed a microfluidic chip that mimics hypoxic conditions following a heart attack, allowing for observation of cardiac cell behavior. The device provides information on the electrophysiological effects of ischemia and could be applied to future drug development.
Scientists created a model that represents a cell with two sensors responding to its environment. They tested various questions, including the impact of energy consumption and sensor interactions on cell sensitivity. The study found that these factors are not always crucial for high sensitivity, and noise levels play a significant role.
The researchers have developed a computational model of a human cell that simulates its behavior for up to 15 minutes, revealing the effects of spatial organization on genetic processes. The study provides new insights into how genes are regulated and developed, and how diseases such as cancer are formed.
Researchers at the National Eye Institute have discovered a tooth-enamel protein, amelotin, that is also present in eyes with dry age-related macular degeneration. The protein may play a role in the formation of calcium deposits in the eye and could be a therapeutic target for treating the blinding disease.
Researchers created a human model of congenital pituitary hypoplasia using patient-derived iPS cells to illuminate the underlying mechanisms. The model revealed that a deficiency in FGF10 from the neighboring hypothalamus caused CPH, highlighting the importance of interactions between the pituitary and hypothalamus.
A team led by Dr. Brigitte Gomperts developed a 'scar in a dish' model that accurately replicates progressive scarring in human organs, enabling the identification of a drug candidate that halted or reversed fibrosis in animal models.
Researchers have developed a combined experimental and computational pipeline to understand the role of genes in IBD. The study uses organoids to analyze gene expression and identifies 'master regulators' that overlap with IBD-related processes. This breakthrough enables design of new experiments to explore IBD-related processes further.
Researchers at the University of Eastern Finland have developed two new cell models that can mimic the blood-retinal barrier, a key regulator of drug delivery to the eye. The models, continuously growing retinal pigment epithelial cells, can be re-pigmented with melanin and studied for drug accumulation in greater detail.
A study of 16 participants found that women with endometriosis secrete higher levels of lactate than those without the condition. Exposure to dichloroacetate reduced lactate secretion and cell proliferation in human cell-culture models.
Scientists at Gladstone Institutes used a machine-learning approach to discover new ways of controlling the spatial organization of induced pluripotent stem cells. The model predicted patterns that could lead to the creation of functional organs for research or therapeutic purposes, and was found to be correct in simulating desired arr...
Researchers propose a revised alternative model of mammalian cellular totipotency, highlighting the distinction between genetic and epigenetic aspects. The study's findings suggest that while zygotes are genetically totipotent, they lack epigenetic totipotency and can reprogram to a totipotent state.
A new AI-powered tool, scGen, accurately models cellular response to perturbations, enabling reliable predictions for different systems. This breakthrough has the potential to revolutionize the understanding and treatment of common human diseases.
A team of researchers has developed a high-performance computing framework to simulate cancer treatment combinations, aiming to improve personalized medicine. The tool, called EMEWS, uses agent-based modeling and machine learning to identify optimal treatment parameters for various types of cancer.
A team of researchers has developed a 3D electrochemical model to estimate the properties of single particles of electrode active materials. This model can analyze micrometer-sized particles in a cell and is expected to improve cell efficiency and increase energy density.
A new high-performance computing-driven model of the gut predicts emerging behaviors and responses to biological threats, simulating cell phenotype changes, signaling pathways, and immune responses. The model identifies key factors that delineate the outcome of infection, including epithelial cells, macrophages, and dendritic cells.
Scientists at the University of Bonn and Amsterdam created a novel human nerve cell model consisting of a single nerve cell from pluripotent stem cells, providing highly standardized conditions for investigating nerve cell functions. The model was tested with various stimulation experiments and demonstrated highly reproducible data.
Researchers developed a new model predicting proton beam effects on tumour and normal tissue more precisely, allowing for effective treatment plans. The study replaced traditional radiobiological models with complex ones, showing improved results for low-energy beams.
Researchers create 3D in vitro model capable of isolating specific metastatic cells, providing platform for identifying potential therapies and screening anticancer drugs. The model also enables study of interactions between vasculature and drugs, yielding important answers.
Researchers challenged conventional two-dimensional models of cell surface organization, revealing three-dimensional effects on diffusion and molecular movement. This study has significant implications for understanding cell signaling, cell-to-cell contacts, and cell migration.
Researchers discovered a new transport mechanism of nanomaterial through a cell membrane by tuning the membrane tension. Ultra-short carbon nanotubes can escape from the bilayer under certain conditions, which may have implications for public health and drug delivery.
Researchers at CCNY and Yale developed a new efficient computational model to simulate the behavior of soft, shape-changing cells. The model provides accurate capture of particle deformation and allows easy adjustment of cell-cell interactions, enabling studies on tumor growth and embryonic development.
Virginia Tech researchers are developing a new algorithm to predict the effects of novel gene mutations in living cells. They will apply this framework to models of cell growth and division in budding yeast, paving the way for faster drug development and improved cellular understanding.
A new study proposes a human-specific understanding of disease mechanisms and novel microphysiological tools to create more predictive laboratory models. This approach holds promise for improving translation in drug discovery and reducing the use of experimental animals.
The Cell Model Passports hub provides a central platform for accessing high-quality cancer cell models and genomic data. This will streamline the process of finding relevant models for research, enabling scientists to accelerate cancer research and develop new treatments.
Researchers developed a model that explains how cell specialization arises in response to resource constraints. The model considers the influence of environmental factors and initial differentiation of cells, providing a more realistic understanding of cellular specialization.
Scientists developed a machine learning technique to predict human cell organization using only black and white images generated by brightfield microscopy. This allows for the exploration of cellular structures in ways that were previously impossible, particularly in live cells.
The Icahn Institute is partnering with the National Institutes of Health to establish a center for reproducible biomedical modeling, aiming to accelerate development of predictive models for precision medicine and bioengineering. The center will provide much-needed model building resources to the research community.
Lehigh University researchers aim to block specific virus entry while preserving normal cellular processes, which is a principal difficulty in designing therapies against viruses. The Ebola virus infects healthy cells by disguising itself as debris, prompting the need for accurate understanding of virus uptake processes.
A global project aims to create a detailed, virtual 3D model of the pancreatic beta cell and its components within five years. The project involves experts from various fields and is expected to provide new insights into understanding diabetes.
Researchers found adult fish change swimming trajectories in response to a change in the Earth magnetic field, even without visible light. They identified a candidate region in the brain that could lead to the discovery of magnetic receptor cells.
Researchers used a novel, multi-scale modeling method to demonstrate that tensegrity principles govern the spatial arrangement and physical forces experienced by components of living cells. This approach revealed how tensegrity-based changes in molecular shape drive cellular motion and generate tensional forces.
Researchers have developed comprehensive computer models of cortical neurons that accurately replicate their activity. These models can be used to understand how different cell types differ from one another and may eventually be applied to model neurological disorders such as epilepsy or Alzheimer's disease.
Researchers at MUSC develop an ex vivo model of ICP-induced cellular injury to understand early cell-injury mechanisms and identify biomarkers associated with pathological pressure. The novel model successfully initiates cellular stress in a cell-specific manner, offering potential for therapies to minimize neurological deficits.
A new computational model allows researchers to estimate the probability of rare heartbeat irregularities that can cause sudden cardiac death. The model realistically incorporates molecular processes that occur in heart cells, increasing its accuracy.
Researchers develop a 3D model of amoeba swimming, showcasing the role of pseudopods in propulsion. The study provides new insights into cell locomotion mechanisms and their relevance to various biological processes.
Researchers developed a genome-scale model that predicts how E. coli cells respond to temperature changes and genetic mutations, highlighting the importance of chaperone networks in adaptive cell modeling for precision medicine.
Researchers developed a customizable mouse model of leukemia using multiplex CRISPR-Cas9 editing and human hematopoietic stem cells. The models accurately reflect human responses to therapeutic agents commonly used to treat blood cancers. This breakthrough may aid drug discovery and clinical trials.
A new user-friendly interface allows cell biologists to create complex biological models using the Virtual Cell supercomputer, expanding access to modeling capabilities. The updated version of VCell enables users to define molecules and explain interactions with minimal coding, reducing complexity and increasing usability.
A new mathematical model describes how polarons can be displaced in a directed way with minimum energy loss in linear peptide chains, accounting for the energy transport mechanism in proteins. The model predicts that a constant electric field can initiate and sustain polaron motion along polypeptide chains.
A team of researchers from MIPT and Ghent University has created a highly realistic model that can reproduce the complexity of the cardiac microstructure, enabling scientists to better understand the causes of fibrosis and its link to arrhythmia. The model's accuracy is due in part to its consideration of cell shapes and interactions.
A new human stem cell model has been developed to study macular degeneration, a leading cause of vision loss in older adults. The model, created by researchers at the University of Rochester Medical Center, mimics key characteristics of the disease and could lead to new avenues of research and potential drug targets.
Researchers created a human stem cell-based model of Aicardi-Goutieres Syndrome to identify underlying genetic mechanisms and test existing drugs. Two FDA-approved HIV antiretroviral drugs showed promise in rescuing mutated cells, offering hope for future clinical trials.
The MIT Hacking Medicine model emphasizes collaboration, design thinking, and user feedback to address healthcare issues. The program has launched numerous successful ventures and raised over $100 million in venture funding.
Researchers at LMU present a new theoretical model for the origin of grid cells in the brain, assigning a crucial role to the timing of signals from neurons called place cells. The model suggests that grid cells are generated through synaptic plasticity and transform temporal coordinated signaling into hexagonal patterns.
A new computational model reveals how mechanical forces from blood flow influence white blood cell migration into the artery wall, and suggests that neutrophils are primary cell types in plaque at two timepoints during atherosclerosis. The model provides insights into plaque growth and could inform clinicians in choosing treatment plans.
Researchers create a cellular model of Ewing sarcoma in human stem cells using CRISPR technology, enabling the study of mechanisms underlying the disease. The technique improves upon previous methods, increasing success rates by up to seven-fold and opening new avenues for cancer research and potential treatment.
A new special collection in Disease Models & Mechanisms (DMM) explores the intersection of models and mechanisms to therapies for neurodegenerative disorders. The collection includes articles on induced pluripotent stem cell models, antisense oligonucleotide therapy for spinal muscular atrophy, and more.
Researchers have developed more realistic 3-D co-culture models of intestinal tissue, incorporating immune cells like macrophages, to study Salmonella infections. The models better recapitulate the natural infection process and offer a powerful new tool for understanding enteric pathogenesis.
An international team of researchers has developed a cell culture model that can reproduce the major elements of drusen, the hallmark deposit of AMD. The model confirms that RPE cells in early AMD are functional and that Bruch's membrane conditions play a key role in disease progression.
Enteroviruses cause millions of infections worldwide, with infant fatality rates approaching 20 percent. A new study uses a miniature gut model to reveal how these viruses enter the intestine, targeting specific cells and facilitating bloodstream entry.
Researchers at RIT are developing new, ultrathin, transparent glass membranes for in vitro tissue models and barrier cell studies. These membranes will enable easier physical and biochemical communication between cells, advancing tissue engineering and drug discovery.
Advances in biomolecular modeling and understanding life at the molecular level are paving the way for a three-dimensional computer model of a cell. This could provide fundamental insight into how cells work and improve disease diagnosis and drug design.
The Gerontological Society of America has awarded Dr. Daniel L. Smith Jr the 2016 Nathan Shock New Investigator Award for his outstanding contributions to basic biological research on aging. He is exploring the impact of reduced carbohydrate exposure and calorie restriction on cellular lifespan in model organisms.
Researchers have discovered a breakthrough in scaling up life-changing stem cell production by using a protein derived from human blood, Inter-alpha inhibitor. This method enables faster and cheaper large-scale industrial production of human pluripotent stem cells without the need for costly biological substrates.
Researchers developed an in vitro model system for NAFLD using human pluripotent stem cell-derived immature hepatocyte-like cells. The study replicated key steps of the disease, including lipid storage and PPARalpha regulation.
A new study finds that the spleen filters blood cells by imposing a 'physical fitness test' through its narrow passages, which defines the shape and size of red blood cells. This discovery has implications for understanding diseases affecting blood cell shape, such as malaria, and developing novel drug targets.
A new study by NYU WIRELESS suggests that the current channel model used in 5G cellular systems may under-predict signal coverage at close distances and over-predict it at far distances. A simpler alternative model using a single parameter, the path loss exponent, is proposed to improve predictive accuracy.
Researchers developed a synthetic cell model to investigate fundamental principles of cellular mechanics, revealing the interplay between cytoskeleton and cell membrane is key to changes in form. The model cells demonstrate that protein interactions are essential for biological functions and can alter shape through deformation mechanisms.
Researchers reconstruct cell surface from scratch using a mixture of fats and proteins to test theories on cell surface dynamics. The 'active composite model' predicts the behavior of cell surface molecules, which were confirmed through microscopic techniques.