Articles tagged with High Throughput Screening
Researchers at Goethe University are developing non-hormonal contraceptives to address declining pill use and side effects. The PREVENT project aims to create safe and effective alternatives, focusing on small molecules that block proteins in sperm or egg cells.
Researchers have developed a bacterial system to create millions of potential drug molecules that can target difficult-to-treat cancers. The approach combines chemical peptide stabilisation with the TBS assay to screen for effective peptides, which can then be tested in more complex tissue models and animal studies.
Researchers developed a novel method to immobilize proteins onto magnetic microbeads, allowing precise measurement of binding strength and efficient selection of target peptides. The technique achieved a 10,000-fold concentration in a single sorting step, significantly enhancing the efficiency of drug discovery research.
Researchers developed a new technique called CLASSIC that enables large-scale testing of complex DNA circuits in human cells. The approach uses artificial intelligence and machine learning to analyze vast numbers of complete circuits at once, providing scientists with a clearer picture of the rules governing genetic part behavior.
Researchers at the University of Virginia Health System have developed a new treatment for acute myeloid leukemia, a deadly form of blood cancer. The FDA-approved medication works by disrupting cellular protein interactions that drive leukemia cell growth and survival, offering patients a potential cure.
A team of scientists at the University of Tokyo has developed an automated, high-throughput system that uses machine learning to analyze droplets of biofluids for disease diagnosis. The technology relies on imaging drying processes to distinguish between normal and abnormal samples.
Scientists have created a micro-algal platform that allows for automated and fast testing of chloroplast genetic modifications, opening up plant chloroplasts to high-throughput applications. This platform enables researchers to fine-tune genetic circuits and identify which modifications have real potential.
The latest issue of SLAS Technology highlights significant advancements in biomedicine and diagnostics, with AI-powered tools achieving 99.9% accuracy in detecting monkeypox. Additionally, the journal showcases innovative lab technologies, including multi-camera zebrafish assays and infection-proof titanium implants.
The journal features novel FAK-paxillin inhibitors, a venom toxin screening platform, and AI-driven solubility prediction for compound discovery. SLAS Discovery highlights innovative technologies to understand and treat human disease.
The Society for Laboratory Automation and Screening's two scientific journals, SLAS Discovery and SLAS Technology, have achieved substantial impact factor increases due to open access publishing. This shift has led to higher citations and visibility for authors, with SLAS Technology experiencing a notable rise of 1.2 points to 3.7.
Researchers tackle pressing challenges in drug discovery with innovative approaches, including high-throughput TRIP13 inhibitors and tau aggregation blockers. The journal focuses on advancing life sciences discovery and technology via education, knowledge exchange and global community building.
This issue of SLAS Technology features a high-precision microfluidic flow splitter that outperforms commercial alternatives, enabling even flow division and simplifying multi-inlet perfusion. The journal showcases technological leaps in the life sciences, including rapid pathogen detection and AI-driven insights into schizophrenia.
Critical Path Institute's Translational Therapeutics Accelerator awards $250,000 to researchers advancing a promising therapeutic pathway for type 1 diabetes. The project aims to address key challenges in T1D treatment, including beta-cell preservation and immune system modulation.
A recent study identifies 11 natural compounds that can inhibit the SARS-CoV-2 spike protein, including caffeine, which exhibits high binding stability and excellent solubility. The discovery highlights the potential of natural products in combating COVID-19 and demonstrates the versatility of widely known compounds like caffeine.
Researchers developed FAST-NPS, a new automated method to discover and scale up bioactive natural products from Streptomyces. The method uses self-resistance genes as markers to prioritize biosynthetic gene clusters with bioactivity.
The team's novel technique enables high-throughput screening of nanoparticle shapes, sizes, and modifications, reducing associated screening costs. The research demonstrates the distinct preferences of tumour cells for certain nanoparticle configurations, enabling personalized cancer treatments that are safer and more effective.
Genetic testing using high-throughput sequencing (HTS) technology has significantly improved detection rates for thalassemia, offering a valuable model for high-prevalence regions. HTS-based genetic testing offers greater sensitivity and specificity without adding significant costs.
Researchers have developed a large-scale drug screening technique that tracks drug targets inside cells, allowing for the identification of potential new drugs. The technology screens candidate drugs 100 times faster than standard manual techniques, enabling the discovery of previously unknown drugs.
A research team at SickKids and U of T has developed a robotic system that allows scientists to test numerous potential therapeutics in arrhythmogenic cardiomyopathy, a leading cause of sudden cardiac death among young adults. The technology enables the identification of five potential therapies for the condition.
Researchers will classify autism types, identify responsible genes, and develop precision therapy for autistic patients. The team will employ neural organoids derived from diverse brain samples to accelerate autism research.
A University of Oklahoma researcher has been awarded a NIH grant to evaluate thousands of natural products with therapeutic potential. The goal is to identify specific components of these products that have anticancer properties and understand how they work.
Researchers at City University of Hong Kong announce an advanced sperm selection system that signals a breakthrough in assisted reproduction. The system, called BLASTO-chip, uses microfluidic droplet technology to select live sperm from immotile samples with over 90% accuracy.
Researchers developed a novel EIT-EVA PCB sensor for non-invasive assessment of drug inhibition on ion channels. The system enables real-time monitoring of ion flow changes in response to drug exposure, offering a faster and more efficient alternative to traditional methods.
A new machine-learning model using serum fusion-gene levels predicts HCC with an accuracy of 83-91%, significantly improving upon current biomarkers like serum alpha-fetal protein. This breakthrough tool may help identify patients at risk and monitor cancer recurrence, leading to improved survival rates.
Researchers develop an in vitro model to study tau aggregation, a process linked to neurodegenerative diseases like Alzheimer's and frontotemporal dementia. The approach offers a short timeline for generating data and facilitates the study of potential therapeutic interventions.
The latest SLAS Technology issue highlights recent breakthroughs in skin cutaneous melanoma, glycan-bead coupling, and acoustic ejection mass spectrometry. Researchers adapt technological advancements for life sciences exploration and experimentation in biomedical research and development.
Researchers at University of Kansas discover a new compound that inhibits SARS-CoV-2 replication in cell models by targeting the 'Mac-1' protein. This finding offers hope for developing new treatments and preventing future pandemics.
A Dartmouth Engineering-led study discovered a new high-performance solar absorber material that is stable and earth-abundant. The researchers used a unique high-throughput computational screening method to evaluate approximately 40,000 candidate materials, leading to the discovery of the Zintl-phosphide BaCd2P2.
The lack of synergy between academia and industry in drug discovery hinders the development of effective treatments. Researchers discuss why many therapeutic molecules fail to reach clinical trials despite pre-clinical efficacy.
The University of Rochester is establishing a new NIH-funded center focused on developing FDA-qualified drug development tools related to barrier functions in disease. Researchers will create microphysiological systems with ultrathin membranes of human cells, aiming to reduce animal trials and improve drug efficacy.
Scientists have created a self-organizing neuromuscular junction model from human pluripotent stem cells to study complex neuromuscular diseases. The 2D and 3D cultures mimic the physiological situation, allowing researchers to perform high-throughput drug screening for novel treatments.
This special collection in SLAS Discovery highlights the significant impact of high-content imaging in basic and translational research. Researchers have made advancements in cell painting and phenotypic profiling, offering new therapeutic approaches for diseases such as Gaucher's.
The SLAS Technology October 2023 issue focuses on reducing laboratory automation waste through machine learning and novel systems. Researchers adapt technological advancements for life sciences exploration and experimentation, enabling improved biomedical research and development.
A study involving 119,606 Chinese newborns found that concurrent hearing and high-throughput genetic screening significantly enhances congenital hearing loss management. The detection rate of certain gene mutations was also reported, highlighting the importance of considering multiple factors for accurate diagnosis.
The August 2023 issue of SLAS Technology features original research articles on nanodiamonds, automated buffer exchange, and epidermal growth factor. A new scheduling method called SAGAS is proposed to optimize life science experiments in laboratory automation.
A new study improves the chances of finding the right drug to kill individual cancers in children by incorporating high-throughput drug screening into precision medicine. The approach reveals additional drug sensitivities and predicts clinical response, leading to better treatment options.
The latest issue of SLAS Discovery features novel technologies and approaches to develop and characterize chemical and biological tools for human disease treatment. The journal reports on high-throughput screening-related research, including fluorescence polarization assay use and glycomimetics.
A proof-of-concept study demonstrates the effectiveness of two supporting matrices in growing spheroids derived from patient cells for 3D drug sensitivity and resistance testing. This finding offers promising prospects for automating this process in drug testing.
The June special issue of SLAS Technology highlights the latest developments in bioprinting, a transformative technology poised to revolutionize many aspects of medicine. Bioprinting is advancing at a rapid pace, with novel materials, fabrication techniques, and bio-ink compositions being developed.
Peruvoside has been discovered to prevent up to 12 medically important viruses, including SARS-CoV-2, Hand, Foot and Mouth Disease (HFMD), and Influenza. The compound acts on GBF1 protein, disabling its functionality and stopping virus production.
A novel method combines biosensors and microfluidics to quickly identify mutant bacterial strains that produce industrially useful proteins. The approach enables the extraction of high-performing strains in a fraction of the time required by traditional methods.
Researchers have found a compound that can prevent cisplatin-induced renal toxicity and improve the outcomes of cancer treatment. The aromatic ketone 2',4',6'-trihydroxyacetophenone (THA) inhibits the CCBL1-mediated metabolism of cisplatin, reducing its toxic effects without affecting its potency.
Researchers have created two new drug candidates that mimic ibogaine's impact on serotonin transporters, showing promise in treating addiction and depression. The new compounds replicate ibogaine's desirable effects while avoiding its dangerous side effects.
Researchers developed a high-throughput assay to analyze CAR-T cells' effects on 3D tumor spheroid models using plate-based image cytometry. This study demonstrates the potential benefits of this method for assessing potency, specificity, and location of CAR-T cells in relation to spheroids.
A new automated algorithm enhances the assessment of human neuron survival in synucleinopathy by tracking cell death and markers of neuronal fitness. The developed method offers improved accuracy and consistency compared to manual counting.
Researchers at ETH Zurich have developed a new method called pharmacoscopy to test treatment options for multiple myeloma patients. This high-throughput screening platform analyzes the reactions of cancer cells to various treatments, offering personalized therapeutic strategies.
A University of Houston team has discovered new biomarkers for early detection of bladder cancer, including D-dimer and IL-8, which may identify disease progression. The study's findings could lead to a simple urine test as the new standard for bladder cancer diagnosis.
Researchers at Oregon State University have created a new model for evaluating potential cervical cancer drugs. The study, led by Kaitlin Fogg, enables the simultaneous and rapid testing of multiple drug compounds, opening the door to large-scale screenings that can uncover new therapies and personalized medicine options.
The March special issue of SLAS Discovery introduces protocol articles highlighting detailed scientific methods and procedures in drug discovery. The issue covers topics such as 3D imaging, cancer treatments, and high-throughput screening, emphasizing transparency and rigor in research methodology.
The SLAS Discovery Editor's Top 10 for 2022 showcases articles on COVID-19 drug discovery, 3D organoid systems, and treatments for diseases such as autism spectrum disorder and obesity. These top articles demonstrate the impact of high-throughput screening approaches and innovative technologies in advancing scientific collaboration.
A team of researchers has developed a new method to screen FDA-approved drugs to determine if they could be repurposed or improved to help patients with spinocerebellar ataxia type 5 (SCA5), a rare and debilitating disease. The pipeline uses cutting-edge spectroscopy to examine the interaction between mutant β-III-spectrin and actin, i...
The article analyzes digital microfluidics' (DMF) benefits for bacterial protocols, highlighting its versatility and potential applications in synthetic biology and diagnostics. DMF's electrostatic forces manipulate microdroplets on a plate, enabling sample preparation and nucleic acid detection.
A new high-throughput MALDI-TOF MS biochemical screen for small molecule inhibitors of ERAP1 has been developed, demonstrating improved stability, reproducibility, and robustness compared to existing assays. The assay's ability to detect other difficult targets makes it a valuable tool in drug discovery.
Researchers developed an integrated approach to accelerate drug discovery by combining complex datasets from two screening platforms and next-generation metabolomics analysis. The new framework identified known compounds, confirmed mechanisms of action, and discovered novel compounds with unique biological signatures.
Few studies utilize high-throughput screening (HTS) and high-content screening (HCS) techniques in anti-obesity drug discovery due to a lack of original data or experimental design information. This limits the development of effective pharmaceutical treatments for obesity-related diseases.
Researchers have developed a new method to detect metal impurities in high-throughput screening, reducing false positive hits and saving time and resources. The technique uses acoustic mist ionization mass spectrometry to identify eight different metal contaminants, outperforming previous methods.
The use of computational tools and new strategies is transforming drug discovery, enabling researchers to navigate the vast chemical space more efficiently. Companies are leveraging virtual libraries of compounds and advanced technologies like artificial intelligence and machine learning to optimize screens and identify promising leads.
Researchers have developed a method to chart the first-ever map of allosteric sites in two common human proteins, revealing they are abundant and identifiable. This could lead to safer, smarter, and more effective medicines by targeting these 'secret doors'.
Researchers developed an AI-driven image analysis pipeline that identified novel cellular hallmarks of Parkinson's disease from images of over a million skin cells. The platform can distinguish between patient cells and healthy controls, revealing new signatures for potential therapeutic targets.
Researchers develop a method called Cell Painting that uses morphological profiling to detect side effects of substances on cells, enabling the identification of tubulin-modulating compounds. The study reveals over 1% of tested substances have this effect, including previously unknown reference substances.