Articles tagged with Protein Analysis
A University of Houston researcher has developed a new method to detect cancer using PANORAMA imaging and fluorescent imaging, achieving a 98.7% accuracy rate. The method analyzes the number and cargo of small EVs in patients' blood samples, allowing for early detection and improved treatment efficacy.
Researchers optimized triticale germination conditions using nonlinear programming to maximize fat content, a crucial parameter in animal feed production. The study identified optimal temperature and moisture levels, resulting in a fat content of 2.83%, improving the nutritional value of triticale grain.
A new AI algorithm developed by Penn State researchers may lead to better predictions and novel therapies for autoimmune diseases. The algorithm analyzes genetic code to identify additional genes of risk and outperforms existing methodologies, identifying 26% more novel gene and trait associations.
Researchers have developed a new technique called molecular pixelation, which allows for the analysis of hundreds of proteins simultaneously in individual cells. This provides a more detailed picture of protein distribution and interactions, crucial for understanding cellular function and signaling.
Glioblastoma cancer cells change their appearance and behavior to evade T-cell attack, rendering immunotherapy ineffective. Researchers found that these 'plastic' cells can also exhaust T-cells, making glioblastoma resistant to treatment.
A new study suggests that proteins detectable in the blood could improve predictions about risk of liver cancer, potentially leading to earlier therapeutic interventions. The researchers used proteomics to develop a prediction model and identified 56 plasma proteins associated with liver cancer.
Researchers have identified an inflammatory protein profile associated with poor survival in aggressive B-cell lymphoma patients. Protein profiles from blood samples can help classify subtypes of the disease and monitor patient response to treatment.
Scientists from OIST created synthetic droplets to mimic biological processes, finding that pH gradients facilitate Marangoni effect and enabling droplets to detect and migrate towards each other. This study sheds light on the movement of simplest forms of life in primordial soup billions of years ago.
Researchers have developed a method to identify extremophiles using protein fragments, leading to the discovery of two new 'extremophile' microbes from high-altitude lakes in Chile. This breakthrough could potentially help scientists search for extraterrestrial life and explore Earth's biodiversity.
Researchers have developed a technique to account for global changes in transcription, revealing new insights into how plants respond to environmental stimuli. By using artificial spike-ins, they found that temperature changes at different times of day affect gene expression more significantly than previously thought.
Researchers followed 12 healthy volunteers taking part in a seven-day water-only fast, measuring thousands of proteins in their blood. The study showed that the body undergoes significant changes across multiple organs after three days without food, with potential health benefits visible only after this period.
Researchers from Tokyo Metropolitan University have engineered a micro total analysis system that quantifies target chemicals in a microfluidic chip without pumps or expensive detectors. The device uses gas production to drive ink flow and measure the original chemical concentration.
Researchers created novel gene editing enzymes with improved precision, reducing off-target RNA edits by over 99%. The technology has potential applications in treating mitochondrial genetic diseases and may lead to transformative treatments within the next five years.
Researchers have developed a new method to label naïve neurotransmitter receptor proteins in living animal brains without genetic manipulation. This technique, known as ligand-directed acylimidazole chemistry (LDAI chemistry), uses pulse-chase analysis to track the movement and fate of proteins in real-time.
A new AI tool, DeepGO-SE, successfully predicts the molecular functions of unknown proteins with high accuracy. This breakthrough enables researchers to analyze uncharacterized proteins, facilitating tasks such as drug discovery, metabolic pathway analysis, and disease associations.
Scientists have developed a cage-like molecule to trap sulfate in water, which could help control its concentration in health, industry, and environmental management. The molecular trap can be prepared inexpensively from off-the-shelf chemicals and has potential applications in medicine, such as treating cystic fibrosis.
Researchers at the University of Manchester have developed a new genetic biocontainment method that directly targets essential proteins, providing a robust escape frequency. The method uses an estradiol-controlled destabilizing domain degron to control survival of genetically engineered yeast organisms.
Scientists at City of Hope discovered a new cellular mechanism that plays a key role in cancer cells' ability to cause disease. The study identified integrin αV and β5 as crucial proteins that partner to spur cancer cell growth, offering a promising target for new therapies.
A new MRI-based method uses CEST technology to detect water cycling across cellular membranes, providing a non-invasive way to assess tumor malignancy and treatment effectiveness. The technique sheds light on tumor phenotype and offers a promising tool for personalized cancer diagnosis and therapy.
Researchers at Tokyo Medical and Dental University have developed a novel method to characterize protein-binding interfaces, revealing complex protein geometries. The technique was validated by studying the homophilic interaction between LAMP2A molecules, which form a trimeric structure in mammalian cells.
Researchers discuss CRISPR's limitations in generating accurate cancer models, including variable mutations and indels. Despite these challenges, the technology holds promise for cancer research due to its potential for natural selection and Darwinian evolution.
Two studies from UChicago chemists offer complementary methods to address the challenge of replacing a carbon atom with a nitrogen atom in molecules. The findings could make it easier to develop new drugs by allowing for more efficient and precise modifications.
Researchers used molecular dynamics simulations to study how urea and alcohol induce structural changes in proteins, with a focus on stabilizing helices and coils. The team identified preferential binding parameters for both cosolvents, demonstrating opposing effects that can be predicted using computational methods.
Researchers discuss lurbinectedin as a method to treat neuroendocrine tumors (NETs), with encouraging results from phase II basket studies demonstrating activity in platinum-sensitive relapsed SCLC and other malignancies. Lurbinectedin's mechanism of action involves inhibiting oncogenic transcription, promoting apoptosis and cell death.
Giovanni Maglia's breakthrough allows for simple handheld device protein sequencing with nanopore technology. Single-stranded proteins can be transported through the tiny hole in the same way as DNA strands.
Researchers at University of California - Riverside uncover COVID's Achilles heel - its dependence on key human proteins. By understanding how the virus interacts with human cells, a new class of antiviral medication may be developed to block replication and treatment.
A recent policy analysis highlights gaps in Canadian regulation of muscle-building dietary supplements, including whey protein and creatine monohydrate. The lack of consistent manufacturing site and product safety testing poses significant health risks to young people.
Researchers at UNIST developed a microfluidic system to process blood into artificial tissue scaffolds for vascular regeneration. Autologous blood-based implants demonstrated superior wound closure rates, increased epidermis thickness, and enhanced collagen deposition in rodent skin wounds.
A new gene-editing technique combines peptide nucleic acids and prokaryotic Argonautes to introduce targeted breaks in the genome. The approach, called PNP editing, offers advantages over CRISPR-based methods, including improved specificity and targeting.
Researchers at Martin-Luther-Universität Halle-Wittenberg have developed a new method for detecting SARS-CoV-2 using MALDI-TOF mass spectrometry, which takes just two hours from swab to result. The approach can also detect other pathogens and is more flexible than existing PCR tests.
The researcher aims to bridge completeness, efficiency, and applications in 3D graphs to solve problems in physics, fluid dynamics, and biotechnology. Geometric graphs can represent molecules, proteins, and drugs, enabling the prediction of their behavior and properties.
Researchers from University of Freiburg and University of Cambridge have observed dynamic molecular aggregates in cells for the first time. These condensates play a crucial role in controlling biochemical processes and are regulated by active biological mechanisms, not just physical forces.
A new machine-learning method, BigMHC, can accurately predict cancer-related protein fragments that may trigger an immune system response. By leveraging massive data through transfer learning, BigMHC enables scientists to develop personalized immunotherapies and vaccines by identifying the most likely to provoke an immune response.
Researchers find that Acinetobacter baumannii can achieve significant functional modifications in protein complexes over short evolutionary time spans, particularly in hair-like cell appendages. This diversity may affect the pathogen's interaction with its environment and inform personalized therapies.
A new study uses machine learning to analyze data from DrugAge, a database of chemical compounds modulating lifespan in model organisms. The researchers create four types of datasets to predict whether or not a compound extends the lifespan of C. elegans, using features such as compound-protein interactions and Gene Ontology terms.
Researchers found that acute kidney injury does not predict worsening of kidney function trajectory in patients with CKD, suggesting that pre-existing kidney disease may be a major contributor. The study recommends focusing on flattening the eGFR slope and treating proteinuria to slow CKD progression.
The researchers have demonstrated significant improvements for chip-based sensing devices that can detect or analyze substances across widely varying concentrations. They developed signal-processing techniques that enable seamless fluorescence detection of a mixture of nanobeads in concentrations across eight orders of magnitude.
Recent studies in the New Journal of Pharmaceutical Analysis feature novel diagnostic tools, RNA sequencing-based workflows, and mechanical property evaluations to enhance cancer and cardiovascular disease treatment outcomes. These innovations aim to improve the therapeutic effect of drugs and promote personalized medicine.
Researchers at SRI International have identified genes that enable insects to produce terpenes, a key component of their chemical communication. This breakthrough provides a roadmap for understanding how these chemicals are used and could lead to new ways to protect crops and prevent insect-borne diseases.
Researchers developed a mass spectrometry method to analyze molecular glues and assess their relative strengths. The technique enables the elucidation of mechanisms through which these molecules stabilize protein interactions.
Researchers invent time-resolved assessment of single-cell protein secretion with sequencing (TRAPS-seq) to correlate cell functions with secreted proteins. The technique accelerates the development of new therapeutic strategies for disease treatment, including targeting mechanisms selective for cancer cells.
Researchers updated their protein localization prediction model, MULocDeep, to provide more targeted predictions for biological discoveries. The tool helps researchers design more effective experiments and advance scientific discoveries related to drug development and treating diseases like epilepsy.
Researchers have cloned the wheat rust resistance genes Lr9 and Sr43, revealing that they encode unusual kinase fusion proteins. This breakthrough enables new options for addressing disease resistance in bread wheat and could lead to heat-resistant versions of the Sr43 gene to adapt to climate change.
Increased expression of Musashi 1 on breast cancer cells has significant implications for understanding dormancy and survival in bone marrow. Msi 1 knockdown led to a reduction in cancer stem cells with undetectable PD-L1, suggesting a potential therapeutic target.
Researchers at TUM have successfully developed a method to produce the essential amino acid L-alanine from CO2 using synthetic enzymes and green methanol. This process requires significantly less space than traditional methods and can be powered by renewable energy sources, making it an important step towards more sustainable agriculture.
Researchers at Kyoto University have discovered a genetic mutation that causes lethal arrhythmia in humans. The study found that a novel variant of the CALM2 gene produces robust arrhythmogenicity in human-induced pluripotent stem cell-derived cardiomyocytes.
A new study reveals that dairy was a key component of early human diets on the Tibetan Plateau, consumed by diverse populations including females and males. Dairying supported prehistoric occupation of the highland region, allowing humans to thrive in extreme environments.
Researchers have developed a new method for downregulating gene translation in plants using upstream open reading frames (uORFs). The study, published in Nature Biotechnology, demonstrates the potential for precise and incremental regulation of gene expression.
Scientists have developed a new method to measure calorimetric quantities at the molecular level with picosecond time resolution. By tracking water's spectroscopic fingerprints in the THz range, researchers can accurately predict protein-rich droplet formation and its dependency on external parameters like temperature.
Scientists have discovered that wrinkles in the cellular nucleus may be involved in common metabolic diseases such as diabetes and fatty liver disease. The new findings suggest that targeting these wrinkles could lead to novel treatments for non-alcoholic fatty liver disease, which affects 40% of people over age 70.
A new laboratory test can measure levels of amyloid beta oligomers in blood samples, detecting toxic proteins up to years before cognitive impairment. The test, SOBA, has shown promising results in identifying individuals at risk or incubating Alzheimer's disease.
A Collaborative Research Centre investigates animal navigation using the Earth's magnetic field. The study focuses on vertebrates, including birds and fish, aiming to protect endangered migratory species.
Scientists have created a way to track brain diseases like depression, Alzheimer's, and strokes using fluorescent mouse blood. The method allows for months-long study of blood flow in the brain, providing new insights into disease progression and development.
A new chemoproteomic method has been developed to globally profile arginine dimethylation, which plays a crucial role in regulating protein phase separation and membraneless organelle dynamics.
Scientists have devised a simple method using nuclear magnetic resonance (NMR) directed evolution to improve enzyme engineering. This approach can help develop engineered enzymes that can break down plastic and toxic waste, reducing environmental harm.
Researchers at Tokyo Institute of Technology have developed a novel method for detecting protein phosphorylation using phosphate's electrical signature. The technique boasts 95% accuracy and 91% specificity, offering new avenues for clinical diagnosis and pharmaceutical applications.
A blood test taken at the time of Covid-19 infection could predict who is most likely to develop long Covid. Researchers identified a 'signature' in protein levels that predicted persistent symptoms after one year.
A novel stem cell-gene therapy has been shown to be safe in humans, with no serious side effects reported in the first trial. The treatment targets motor neurons that die in patients with amyotrophic lateral sclerosis (ALS), a fatal neurological disorder.
Researchers from Tokyo Metropolitan University have developed a method to directly measure the strength of skeletal muscle myotubes by analyzing wrinkles formed on an elastic substrate when stimulated with electric pulses. This new technique is more sensitive than existing measures and has great potential for accelerating drug discover...
A new study reveals how a rare genetic mutation affects an enzyme involved in learning and memory, leading to enhanced activation and potential treatment options. Researchers have developed a method of protein analysis that enabled them to identify a potential treatment using existing medicine.