Articles tagged with Cell Models
Researchers at the University of Sydney developed a computational framework to evaluate the biological accuracy of lab-grown human embryo models. The study found that while some models perform well, none yet fully capture the complexity of early human development.
A NIH-funded research project has generated a comprehensive collection of patient-derived tumor models, covering 25 types of cancer from thousands of donor tissues. These models closely match their parental tumors in terms of genetic alterations and gene expression signatures, enabling researchers to explore tumor evolution and diversity.
Scientists corrected a genetic disease of the liver in mouse models and human patient cells using gene editing, building a foundation for a potential new therapy for Zellweger spectrum disorder. The breakthrough restored function of the liver and peroxisomes, reducing toxic buildup.
A new study from IIT, Uppsala University, and AstraZeneca uses computational chemistry and supercomputers to better understand splicing, a key process in gene expression. The results provide precise insights into splicing dynamics and help explain previously difficult-to-interpret data.
A new open-source AI tool, ProRNA3D-single, has significantly increased accuracy in predicting and visualizing protein-RNA complex structures. This method can generate finely detailed images of molecules in 3D, enabling drug developers to design treatments by analyzing where viruses attach to human proteins.
The European consortium, funded by €4.5M, will recruit and train 15 PhD researchers to develop new models and methods for understanding complex biological systems. The network, coordinated by the University of Edinburgh, aims to create a framework grounded in physics that can be applied systematically.
A new study from Aarhus University reveals microscopic pores in brain cells formed by toxic α-synuclein oligomers, which constantly open and close like tiny revolving doors. This dynamic behavior may help explain why brain cells don't die immediately, but further research is needed to replicate the findings in biological tissue.
A new computational tool, CellWalker2, integrates different forms of biological data to reveal relationships between cell types. The tool identifies precise cell types and assigns broader labels based on hierarchical relationships, enabling scientists to compare cell types across experiments and species.
A team of researchers used machine learning to analyze changes in astrocyte cells' structure, shedding light on heroin addiction and relapse. The study, published in Science Advances, found that specific subpopulations of astroglia exhibit more pronounced morphological changes during drug use.
Researchers discovered that aging causes inflammation, oxidative stress, and gene disruption in the retinal pigment epithelium, a vital layer of cells in the eye. This study provides a clearer understanding of why aging leads to eye disease and introduces a reliable laboratory model for testing new therapies.
This study establishes highly accurate cell viability prediction models with an area under the receiver operating characteristic curve (AUROC) of 0.90 and 0.84, respectively. The models show good performance across diverse cell lines and enable accurate high-safety substance screening via cytotoxicity prediction.
Researchers investigated the neuroregenerative potential of 5-NOT and Epi, discovering they protected SH-SY5Y cells from MPP+ toxicity by regulating key proteins. The findings support 5-NOT as a glycomimetic drug candidate for Parkinson's disease treatment.
Researchers used NSF-funded Frontera supercomputer to model microtubule tips, revealing new behavior and key differences in structures depending on GTP or GDP binding. This basic research could aid in understanding neurodegenerative diseases like Alzheimer's and Parkinson's as well as design cancer drugs.
Researchers found that collective cell movement exhibits robust invariance across diverse systems, including cancer cells and bacteria. This discovery could lead to improved understanding of oncological diseases and tissue engineering, as well as applications in robot navigation and artificial intelligence.
The Open Brain Institute launches a groundbreaking platform to simulate and study digital brains, empowering researchers to explore brain complexity and diseases. With its virtual neuroscience laboratories, the OBI enables global collaboration and access to cutting-edge virtual labs.
Researchers at MD Anderson have made significant breakthroughs in understanding pancreatic cancer's evolutionary process and developing new treatment strategies. They also discovered that surgical resection can enhance antitumor response in patients receiving immune checkpoint therapy for advanced kidney cancer.
A synthetic retinoic acid-inducible gene I (RIG-I) agonist RNA has been shown to induce innate immune signaling and death of hepatocellular carcinoma cells in vitro. The addition of recombinant interferon-b potentiated this cell death, suggesting a potential new mechanism for treating patients with liver cancer.
Researchers at the Leibniz Institute for Food Systems Biology found that fava bean protein nanofibrils alter the activity of receptor genes and interact with cell membranes, influencing texture perception. The study aims to develop sensorially appealing plant-based foods with improved texture.
Researchers identified the critical role of TIMM50 protein in mitochondrial energy production and its link to a severe and rare neurological disease. The study's findings suggest potential targets for future drug treatments and advance research on protein import into mitochondria in brain cells.
A new MRI-based imaging technique can rapidly assess ovarian cancer subtypes and their response to treatment, allowing for personalized treatment planning. The technique, called hyperpolarised carbon-13 imaging, distinguishes between two different subtypes of ovarian cancer and reveals their sensitivities to treatment.
Hepatitis E viruses can directly infect nerve cells, which are unable to protect themselves due to a low immune response. This discovery may explain the neurological effects of HEV infections.
A team of MIT engineers has developed a new computational method for analyzing complex biological systems, including the immune system's response to tuberculosis vaccination. The approach uses probabilistic graphical networks to identify key interactions and mechanisms, shedding light on how vaccines induce immunity.
Researchers are creating microphysiological systems to simulate infection and treatment in vitro, linking human lung and brain tissue models. This project aims to explore the relationship between respiratory diseases and neurological symptoms, potentially leading to new treatments.
Researchers found that fermented black garlic extract reduced tumor aggressiveness parameters, including cell proliferation, without affecting normal prostate cells. The extract altered key signaling pathways related to inflammation, suggesting its potential as a dietary supplement to prevent or slow down prostate cancer progression.
Researchers at Texas Biomedical Research Institute developed a human cell culture model of alveolar macrophages, which helped make a key finding about the role of tumor necrosis factor (TNF) in tuberculosis (TB). The study found that TNF is critical to protect against TB but not other infectious diseases.
Researchers at the CNIC found that respiratory complex I possesses sodium transport activity essential for efficient cellular energy production. This discovery provides a molecular explanation for Leber's hereditary optic neuropathy and may have implications for other neurodegenerative diseases.
Scientists at Brigham and Women's Hospital have created a strategy to boost mitochondrial activity in T cells, improving their ability to penetrate and kill tumor cells. The new approach helps to overcome a major barrier in immunotherapy by increasing the energy capacity of T cells.
A recent study published in PNAS explores how plants combine clock signals with environmental cues under naturally fluctuating conditions. The research team developed statistical models that accurately predict gene expression activity under control of circadian clock responses to environmental signals.
Researchers create superhydrophobic array device (SHArD) mimicking the lotus leaf surface structure, enabling high-throughput generation of three-dimensional nanoscale tumor models. This platform helps study metastasis and primary tumors, shedding light on cancer progression.
Researchers propose a leaf-inspired luminescent solar concentrator (LSC) design to overcome scalability limitations. The innovative setup enhances photon collection and transfer, improving efficiency and reducing self-absorption issues.
A Chinese Medical Journal study developed an AI-based system to automate embryo selection and eliminate subjectivity in IVF. The system improved human embryo assessment and selection, achieving higher accuracy in embryo aneuploidy screening than experienced embryologists.
Researchers at ISTA discovered that misaligned protein filaments 'die' and re-assemble to form a well-aligned ring structure essential for bacterial cell division. This mechanism could lead to the development of synthetic self-healing materials.
Researchers from POSTECH and KRICT created a 3D artificial lung using bioprinting technology, closely mimicking the human respiratory tract. This model allows for accurate testing of COVID-19 drugs and development of therapeutic treatments, potentially shortening the drug development process to under 5 years.
Researchers developed an AI model called GROVER that treats human DNA as a text, learning its rules and context to draw functional information about the DNA sequences. The tool has the potential to unlock the genetic code and advance personalized medicine.
Researchers at Osaka Metropolitan University found that Ecklonia cava polyphenols can protect against neurodegeneration and improve motor function in Parkinson's disease model mice. The antioxidants activate the AMPK enzyme and inhibit reactive oxygen species production, reducing neuronal cell death.
A new study finds that combining an inhibitor of a metabolic pathway with chemotherapy could improve treatment outcomes in triple negative breast cancer brain metastases. Inhibiting fatty acid synthase, an enzyme critical for cancer cell survival, shows promise in improving chemotherapy efficacy.
Researchers at Brigham and Women's Hospital developed a 'Parkinson's in a dish' model that rapidly converts stem cells to brain cells with protein structures characteristic of the disease. The study enables the study of Parkinson's disease pathology in a petri dish, paving the way for personalized diagnostic and treatment methods.
A team of scientists has created a 3D-printed model of human hair follicles to test new treatments against hair follicle infections. The model, which replicates the natural environment of hair follicles, allows for early-stage testing of drug candidates without animal testing.
Researchers from Brookhaven National Laboratory have developed an effective way to image a single cell using multiple techniques, providing significant implications in medicine and agriculture. The team used advanced X-ray imaging technologies to capture high-resolution images of the cellular structure and chemical processes within cells.
A UVA research team has developed biomaterials with controlled mechanical properties matching those of various human tissues, representing a significant leap in bioprinting technologies. Their unique digital assembly of spherical particles (DASP) technique can deposit particles of biomaterial in a supporting matrix to build 3D structur...
A study of nearly half a million women found that endometriosis was associated with a higher risk of ovarian cancer. The risk was particularly elevated among women with ovarian endometriomas or deep infiltrating endometriosis, with a 19-fold increased risk for certain types of ovarian cancer.
Researchers created a new cell model to study the effects of senescence on lung fibroblasts. Senescent alveolar epithelial cells triggered fibrotic activation in lung fibroblasts, which was attenuated by senolytic therapy.
The study found that exercise increased PEDF levels in skeletal muscles and suppressed senescence markers in the lungs. PEDF also reduced senescence markers in multiple tissues and attenuated decline in respiratory function in pulmonary emphysema mouse model, suggesting its potential as a therapeutic agent for age-related diseases.
Atomic Force Microscopy (AFM) offers groundbreaking insights into brain cells and tissues, enabling early detection and monitoring of neurodegenerative diseases. The review highlights the potential of AFM in characterizing biomarkers in cerebrospinal fluid and blood to enhance diagnosis and treatment.
Researchers found that removing the choroid plexus leads to a reduction of newly born immature neurons and fewer repairing damage caused by a stroke. The study suggests that the choroid plexus keeps regenerative cells ready to deploy to injured areas in animal models.
A novel 3D imaging model has been introduced to identify features of blastocysts associated with successful pregnancies, potentially transforming current IVF selection methods. The study found that parameters related to size and specific features of the inner cell mass and outer layer are linked to higher pregnancy rates.
Researchers have developed a humanized mouse model with a fully functional human immune system, enabling the study of immunotherapy development, disease modeling, and vaccine development. The new model, called TruHuX, mounts specific antibody responses and can develop full-fledged systemic lupus autoimmunity.
Researchers at Yale University have discovered a simple mechanism for optimal light-use efficiency of photosynthesis inspired by giant clams. This discovery could lead to the development of more efficient solar cells and renewable energy systems.
Researchers at U of T have developed a deep-learning model called PepFlow that can predict the full range of conformations for peptides, which are shorter than proteins but perform similar biological functions. The model combines machine learning and physics to capture precise and accurate conformations within minutes.
A team of engineers has created a new mathematical model to accurately simulate the effects of blood flow on the adhesion and retention of nanoparticle drug carriers. The model, developed by University of Illinois professors Arif Masud and Hyunjoon Kong, was tested in vitro and demonstrated promising results.
Researchers discovered a breakthrough in mouse embryo development, where primitive endoderm cells can generate an embryo on their own. These cells also have the potential to improve IVF outcomes by developing into stem cell-based embryo models.
Researchers develop a model of heart disease by tricking stem cells to behave like mature heart cells with a mutation that causes hypertrophic cardiomyopathy. The study reveals the connection between mechanical stress and electrical function in hearts, shedding light on why genetic mutations can cause arrhythmias.
Researchers at MD Anderson Cancer Center have identified a small molecule compound that restores physiological levels of telomerase reverse transcriptase (TERT), reducing cellular senescence and tissue inflammation. TERT restoration also spurred new neuron formation with improved memory and enhanced neuromuscular function.
Bioethicist Insoo Hyun argues that advances in organoids and embryonic models strengthen rather than weaken the concept of human individuality. Current technologies are unable to replicate sentience, a crucial aspect of personhood, until major innovations are made.
Researchers have developed three new cellular models of myotonic dystrophy type 1 that accurately represent the clinical diversity of the disease. The models show great heterogeneity in genetic expansion and molecular alterations, making them suitable for studying pathophysiology and testing therapeutic options.
Researchers have trained an AI model to identify DNA methylation patterns indicative of different cancer types, achieving 98.2% accuracy. This breakthrough could enable early detection and screening of cancers, leading to improved patient outcomes.
A new approach by researchers at ISTA reveals how cells navigate through complex environments and interact with each other. The study uses computer simulations to visualize different scenarios, showing that cells move in trains like an all-wheel drive system, while clusters are slower due to collisions.
Researchers have developed a model to enrich sub-populations of cancer cells with high basal levels of mitophagy, promoting CSC features such as self-renewal, proliferation, and drug-resistance. This study highlights the importance of BNIP3/BNIP3L in maintaining cancer stem cell properties.
Researchers discovered that T-cell aging is not limited by organismal age, and healthy T cells can proliferate indefinitely. The epigenetic clock of T cells shows that death is not the end, and these cells do not plateau with age, defying traditional notions of cellular aging.
Dr. Jeetain Mittal's NIH grant will support multiscale computational models investigating phase separation in biology, particularly heterochromatin formation and its role in neurodegenerative diseases. The research aims to elucidate the molecular origins of phase separation using innovative models and methods.