Articles tagged with Protein Analysis
Researchers at Nagoya University discovered that complement C3 protein acts inside tumors to prevent immunosuppressive cells, improving cancer immunotherapy effectiveness. Higher levels of C3 in tumor tissue were associated with better treatment outcomes and survival rates in patients.
Researchers discovered a new signaling pathway allowing plants to adjust protein production in minutes, not hours. Short sequence elements in messenger RNA act as molecular switches, enabling direct regulation of protein synthesis.
Researchers discover that kidney cancer cells lacking the tumor suppressor gene SETD2 become highly dependent on protein BCL-xL for survival. By targeting this dependency, they can selectively eliminate SETD2-deficient cancer cells, offering a potential new therapeutic strategy for patients with aggressive subset of kidney cancers.
Proteins have varying shapes and sizes, requiring them to change shape to bind other molecules. Researchers at ISTA combined methods to study protein motion and found that fleeting structures can reveal biological function. The findings could boost protein design approaches and improve AI-based structural prediction tools.
A new fluorescence imaging-based technique allows researchers to measure individual scramblase protein activity rates, revealing new findings and broad applicability. This enables precise study of key scramblases and their potential role in various biological processes and diseases.
Researchers have uncovered the structural basis of Argonaute assembly, revealing that chaperone proteins hold it in an open conformation allowing miRNA loading. The study also found that RNA plays a key role in guiding Argonaute folding.
A new study from Aarhus University identified nearly 200 proteins that change during the menstrual cycle, influencing conditions like endometriosis and bleeding disorders. The study provides a comprehensive picture of biological changes over a full cycle.
HSE researchers train a neural network, GSMFormer-PPI, to predict protein–protein interactions by integrating three types of data: sequence, structure, and surface properties. The model achieves 95.7% accuracy, outperforming popular graph-based models.
A large-scale computational study found that point-of-origin effects significantly influence protein diversification, with relatively small divergence seen from ancestral proteins. The research reinforces existing theories on initial protein formation and highlights the limitations of modern AI protein design methods.
Researchers at the University of Arkansas System Division of Agriculture have developed a hypoallergenic alternative cheese using rice proteins. The study analyzed various protein sources from brown rice, white rice, and bran, finding that they can provide qualities needed for plant-based cheesemaking.
Researchers in Japan discovered that cells eliminate less efficient ribosomes through a 'survival of the fittest' mechanism, ensuring accurate and efficient protein synthesis. This discovery sheds light on how cells maintain quality control and prevents ribosome-related diseases.
The new PLAMseq technique enables simultaneous analysis of chromatin-associated proteins and their location in the genome, opening up new avenues for researching human diseases. This breakthrough could lead to a better understanding of epigenetic mechanisms underlying diseases such as cancer and neurological disorders.
A new iron transporter protein, OsIET1, has been identified in rice, crucial for delivering iron to young leaves. The study reveals OsIET1 mediates inter-vascular Fe transfer, promoting optimal plant growth and productivity.
Dr. Yu-Ming Mindy Huang's research aims to overcome limitations in current methods by building a higher-accuracy computer microscope to investigate membrane-bound protein diffusion and interactions. The study has two complementary directions: modeling viral proteins and understanding lipid storage on lipid droplets.
Researchers developed voltage-matrix nanopore profiling to accurately classify proteins in complex mixtures based on their electrical signatures. The method reveals molecular individuality and compositional differences without labeling or modifications, holding promise for disease diagnosis and real-world bioanalytical applications.
Lehigh University researchers used machine learning to compare bone marrow extracted from the hip and shoulder, finding six proteins that distinguish between the two extraction sites. This study may lead to standardized BMAC extraction protocols and personalized treatments based on protein concentrations.
Researchers used NMR spectroscopy to capture enzyme dynamics, discovering a 'crossover loop' structure that plays a crucial role in catalyzing reactions. This new method promises unprecedented access to biomolecule mechanisms and potential pathologies.
A University of Missouri-led study has uncovered how poplar trees can naturally adjust a key part of their wood chemistry based on changes in their environment, supporting improved bioenergy production. The discovery sheds light on the role of lignin and its potential to create better biofuels and sustainable products.
A new study reveals the molecular mechanisms that enable SAR11, the most abundant marine bacteria, to survive in nutrient-poor environments. The research demonstrates ultra-high-affinity transporters that capture carbon sources, influencing global biogeochemical cycles and ecosystem management.
Researchers developed a serum proteomics-based prediction model to identify biomarkers involved in ADPKD progression. The study identified 29 proteins linked to immune system, fat transport, and metabolism, which can predict kidney function decline rate. This breakthrough could lead to more accurate and earlier diagnosis of ADPKD.
A team from Kyushu University has discovered that the smallest known protein-based tRNA-processing enzyme, HARP, forms a star-shaped complex to cut both ends of tRNA. This finding sheds light on how HARP processes the 5' leader sequence and reveals a new mechanism for RNA processing.
A novel dimethylpiperidine-based cross-linker, DPST, enables one-step enrichment and quantitative analysis of protein complexes in limited samples. Using DPST, researchers successfully mapped the protein interaction network in primary neurons and detected transient and weak interactions.
Researchers have characterised the human protease SENP5, implicated in various diseases such as cancer and neurodegenerative disorders. The study reveals a positively charged region that prefers SUMO2 binding, opening the way for specific inhibitor design with minimal side effects.
Göttingen University researchers have discovered previously undetected chemical bonds within archived protein structures, revealing an unexpected complexity in protein chemistry. These newly identified nitrogen-oxygen-sulphur (NOS) linkages broaden our understanding of how proteins respond to oxidative stress.
Researchers at ETH Zurich created an atlas of protein interactions in different tissues, revealing that every fourth interaction is tissue-specific. This knowledge helps identify disease genes and develop targeted drugs with increased specificity.
Scientists have developed a cutting-edge technology to analyze protein turnover in individual cells, enabling them to identify treatment-resistant cancer cells and understand the impact of specific drugs. This breakthrough could lead to advancements in disease diagnostics and treatment strategies.
Researchers have discovered a way to regulate starch storage in algae using blue light-activated signalling pathways. This method has the potential to increase starch production in biofuels, improve nutritional value of agricultural feed supplements, and capture more carbon dioxide, reducing greenhouse gases.
A study by the University of Jyväskylä found that muscles retain a memory trace of previous resistance training at the protein level for up to two and a half months. This persistence can make it easier to start training again after a break.
A study at the University of Turku found that different processing methods significantly affect plant-based products' biochemical composition. Current food classification systems do not acknowledge this, which can lead to misclassification of beneficial products as unhealthy.
A new machine-learning algorithm has been developed to identify proteins with significant roles in various human tissues. The Weighted Graph Anomalous Node Detection (WGAND) algorithm successfully identified proteins associated with tissue-specific diseases and critical biological processes.
The Protein Society recognizes five award winners in 2025 for their groundbreaking research in protein science and technology. Professor Jan Steyaert receives the Christian B. Anfinsen Award for pioneering nanobody technology, while Dr. Brian Kuhlman wins the Emil Thomas Kaiser Award for novel protein design and structural modeling.
Researchers have developed a way to activate adult stem cells from human bone marrow, enabling their expansion outside the body for use in bone marrow regeneration. The new method significantly improves transplant success rates for patients with genetic disorders or those who require a bone marrow transplant.
The project aims to enhance CTC detection sensitivity and specificity for clinical needs in cancer early screening, diagnosis and treatment. The team will develop an integrated system covering CTC counting, classification and downstream detection of CTC proteins and genes.
Researchers have developed a new method to deliver antibiotics directly into the bladder tissue, eliminating over 90% of bacteria from the bladder. The nanogel-based drug delivery system shows promise in treating UTIs and could potentially lead to an eventual cure.
A new study led by the CIBEREHD group at Hospital Germans Trias demonstrates a significant improvement in monitoring and treatment of Crohn's disease patients. By analyzing calprotectin levels, patients can avoid unnecessary repeat colonoscopies.
Researchers developed a new method to search through billions of molecules to identify potential anti-inflammatory drug candidates. The method uses computer algorithms to explore vast chemical space and has the potential to speed up the costly drug development process.
A new study from DTU National Food Institute finds that temperature and light intensity play a crucial role in the yield of various nutrients produced by the microalga Nannochloropsis oceanica. The research suggests a two-stage cultivation process to optimize nutrient production, paving the way for sustainable food production.
A new study reveals that Chlorella Vulgaris, a freshwater microalga rich in protein and essential nutrients, holds immense promise as a sustainable and nutritious food source. The researchers emphasize the need for advancements in cultivation techniques, processing methods, and sensory improvements to enhance its appeal.
Researchers have developed a pioneering approach to predict and engineer the metalation of proteins, crucial for life. The study reveals that metal availability plays a key role in binding metals within cells, and provides practical tools to forecast metal-protein interactions.
Researchers at Kyungpook National University have developed a new approach to map and engineer enzymes for enhanced plastic recycling. They employ landscape profiling to identify efficient biocatalysts for recycling polyethylene terephthalate (PET), producing high-purity monomers under mild conditions.
Researchers at the University of Wisconsin-Madison have developed a technique using therapeutic blood clots activated by messenger RNA to treat osteoarthritis. This approach could potentially offer a more effective option than existing treatments like steroid injections or joint replacement surgeries, with the possibility of being an i...
Researchers have identified a key protein called Apex1 as a potential therapeutic target for stopping the immune system from attacking itself. By inhibiting this protein, harmful T cells that cause autoimmune diseases and allergies can be eliminated.
Researchers have developed a new quantum sensing technology that can detect individual nuclei, revealing tiny differences in molecular structure and dynamics. This unprecedented sensitivity enables scientists to study the building blocks of nature at an entirely new scale, leading to breakthroughs in fields like drug development.
G protein-coupled receptors can form heteromers, affecting ligand binding properties and downstream signaling pathways. Recent advances in live cell imaging techniques provide crucial information on physical interactions in GPCR heteromers.
A new study reveals that anti-defense genes near the DNA entry point enable plasmids to overcome CRISPR system, promoting genetic transfer between bacteria. This discovery could pave the way for developing tools to address antibiotic resistance and genetic manipulation methods.
Researchers at U of T have created SIMPL2, a platform that simplifies detection and improves accuracy of protein-protein interactions. The tool enables the rapid identification of protein interactions, including weak ones, for targeted drug therapies.
Scientists at the Institute of Physical Chemistry Polish Academy of Sciences created a method to measure molecular brightness and eliminate background light. This technique allows for counting individual photons emitted by molecules, enabling precise measurement of molecule concentrations. The researchers applied this approach to study...
Researchers developed a new method to build protein sequences from large genetic panels, capturing diversity among cohort participants. This approach can refine medical research to individual profiles and address the challenge of integrating diversity in current data models.
The study found decreased NMDA receptors in synapses and increased extrasynaptic membranes in Alzheimer's patients, suggesting neuronal toxicity-related activity. The novel protocol allows for precise analysis of these receptors in human postmortem brains, paving the way for new therapeutic approaches.
A multidisciplinary team of MSU researchers has pioneered a way to detect diseases sooner using biomarkers in plasma, enabling faster treatment and better patient outcomes. Their new method reduces masking effects of highly abundant proteins, allowing for more precise and earlier detection of diseases.
Researchers have discovered a new pathway for selenoprotein production, led by PRDX6, which can sustain selenium protein synthesis. Inhibiting PRDX6 may impair cancer cell survival, particularly in neuroblastomas, offering a new therapeutic target.
Researchers have created a comprehensive database of protein changes in mice tissues due to aging, providing new insights into age-related diseases. The study reveals proteins that increase with age and improve understanding of the molecular mechanisms underlying aging.
A recent study published in JSFA Reports confirms that various pork cuts, Italian hams, and sausages offer excellent protein quality. The study found that all tested pork products achieved a Digestible Indispensable Amino Acid Score (DIAAS) greater than 100.
Researchers at Uppsala University have developed a unique antibody that targets and delivers a drug package while activating the immune system. This '3-in-1 design' method has shown promise in treating several types of cancer by amplifying T cell effect on cancer tumors.
Researchers at Linköping University have developed a new version of AlphaFold that can predict the shape of very large and complex protein structures, integrating experimental data. This breakthrough aims to improve the development of new proteins for medical drugs.
The red milkweed beetle's genome has been sequenced, providing insights into how it safely feeds on toxic plants. The study found an apparent expansion of genes related to toxin sequestration and metabolic enzymes.
The new funding supports the first-of-its-kind single-cell mass spectrometer in Maine and one of the first in the country. Researchers can now analyze proteins and metabolites from individual cells, providing unprecedented detail into disease mechanisms.
Researchers have devised a method to convert caragana waste into a potential ruminant feed by using a two-stage bioaugmentation process. The TBA process improves the nutritional value and safety of the waste, reducing lignin content and anti-nutritional factors.
Researchers are working on a new method for preserving microbial samples using microfluidics, biomaterials, and protein engineering. The goal is to improve biosurveillance and protect soldiers and civilians from infectious diseases.
A new DNA-powered signal amplification technology called ACE significantly enhances the sensitivity of mass cytometry, enabling the detection of multiple proteins in single cells. This breakthrough allows researchers to investigate complex biological processes and study immune cell functions with unprecedented depth.