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Herein, we used a targeted covalent inhibition strategy and identified a covalent inhibitor, TD19, which selectively inhibits ALKBH5 compared with FTO demethylase in protein-based and tumor cell-basedassays. Moreover, TD19 displays good anticancer efficacy in acute myeloid leukemia and glioblastoma multiforme cell lines.
Previous Next To assess LipocyteProfiler, the researchers analyzed white and brown fat cells and liver cells, focusing on traits such as the size, the number, and the location of lipid droplets in a cell. Credit: Phil Kubitz, Claussnitzer lab A merged image showing all of the stained cellular components together.
Co-led by Dr Sanjana, the research study combines CRISPR gene editing and single-cell sequencing to identify causal genetic variants and enhance our understanding of the noncoding genome. The perennial challenge with STING-seq (and all cell-basedassays) is finding the right cell type for the disease or trait.
Following the announcement that PerkinElmer has acquired Cisbio Bioassays , here is a little more information about the exciting opportunities this brings to life sciences researchers. The company notably developed a proprietary HTRF ® technology which is a type of TR-FRET assay used in Life Sciences. Learn more about Cisbio here.
Animal testing plays a significant role in pre-clinical research and therefore requires the use of millions of animals. 1 Over a quarter of those were for basic research purposes, with most common areas focused on the immune system, the nervous system and oncology. These cell cultures can be used to mimic aspects of human physiology.
Microplate readers are useful tools for researchers to investigate the many facets of cardiovascular disease and provide different options for high-throughput research of atherosclerotic vascular disease. Researchers are interested in understanding the mechanisms of disease to facilitate possible interventions.
It’s now time to get back to chemical probes and I’ll be taking a look at S2023 (Systematic literature review reveals suboptimal use of chemical probes in cell-based biomedical research) which has already been reviewed in blog posts from Practical Fragments , In The Pipeline and the Institute of Cancer Research.
For this reason, researchers around the globe are scrambling to understand this novel virus and figure out its potentially targetable vulnerabilities. Speed is of critical importance to ongoing research efforts, given the virus’ rapid spread combined with a massive worldwide shortage of appropriate ventilator equipment.
A company research code, or Clinical Trial intervention name, is assigned if no standardised name is available. For virtual parent compounds, progress has been made towards assigning a distinct pref_name (typically based on the FDA GSRS preferred name) that differs from the child compound name. University of Dundee: T.
Our integrated CRO/CDMO services combine bioanalytical services with preclinical and clinical study solutions, manufacturing services, and all complementary research support services, for maximum efficiency.” This is Altasciences’ third purpose-built laboratory. All three laboratories across North America are uniformly designed and managed.
In ChEMBL version 29, there are over 2 M bioactivity data points against fungal, bacterial or viral targets (for 460 K compounds) available for pathogen-related research. How can I find pathogen data? On the ChEMBL interface, the organism taxonomy is available as a filter that can be applied to bioactivity data.
The journey from bench to bedside often spans over a decade, consuming billions of dollars in research and development (R&D) expenditure, with a significant probability of failure at each phase. For example, researchers utilized gene expression data to determine the anti-ulcer drug cimetidine as a possible treatment for colorectal cancer.
Successful researchers and companies master and use different technologies, making sure the interpretation of data does not suffer experimental or analytical bias and leads to better success rates and higher profitability for drug developers. The post Assays for the Future of Drug Discovery first appeared on PerkinElmer Blog.
The definition goes on to list potential options for such tests: cell-basedassays, organ chips and microphysiological systems, computer modeling, other nonhuman or human biology-based test methods such as bioprinting, as well as animal tests. FDORA § 3209(a)(2).
For example, ELISA and multiplexed assays are used for quantifying proteins or cytokines, ELISpot is ideal for detecting antigen-specific T-cell responses, flow cytometry helps assess cell populations and functions, and cell-basedassays are essential for evaluating the functional activity of immune cells.
LipocyteProfiler swaps concanavalin A, the dye that stains the ER, with BODIPY, which stains lipid droplets: fat-storing organelles that regulate lipids within every type of cell and which are particularly common in adipocytes (fat cells). Typically, studying drug therapies is an expensive and time-consuming undertaking.
Data-driven discovery As with many early-stage biotech companies, Five Alarm Bio is highly data-driven, producing vast amounts of experimental data through cell-basedassays and phenotypic screening. As a business executive at IBM Research in New York, Dr Singh led the go-to-market for IBM Watson Genomics Analytics.
Miguel Gancedo Rodrigo Miguel Gancedo Rodrigo Research Investigator, Isomorphic Labs My name is Miguel, and I’m from Murcia, Spain. Rising from Research Scientist to Senior Scientist, I supported early-stage DD efforts within their Protein Science group, based in Cambridge, UK.
However, significant efforts need to be invested into characterizing and validating covalent molecules as a prerequisite for conclusive use in biomedical research and target validation studies. As measurement of k.inact/K.i
The effects of curcumin, EGCG (epigallocatechin gallate), genistein and resveratrol on four membrane proteins were reported in Ref9 and these effects would raise doubts about activity for any of these compounds (or their close structural analogs) that had been observed in a cell-basedassay.
Recombinant monoclonal antibody (mAB) based treatments have proven their efficacy. Nevertheless, researchers are now considering using messenger RNA (mRNA) technologies for the development of prophylactic and therapeutic vaccines. HIV or more recently SARS-Cov-2). Pre-clinical and clinical trials […]
In biology , scientific research on cell metabolism focuses on different topics such as understanding the fundamental metabolic processes, metabolic changes and their role in diseases (including cancer cell and tumor metabolism), the development of therapies, the identification of unknown metabolic processes and metabolites, etc.
Cell-basedassays , while more complex to develop and use, offer another option for characterizing product activity at a slightly higher level, allowing sponsors to measure the further downstream effects of products (e.g., morphological cell changes or alterations in protein production or expression).
Endeavor revolutionizes drug discovery by delivering high speed, high resolution, full well scanning of cell-basedassays. Endeavor images 10 times the biology in a fraction of the time, acquiring every cell, every time. We develop innovative products that accelerate basic research, drug discovery, and manufacturing.
Machine learning’s role in life sciences research As we move towards more generalised AI models, neural networks and natural language interfaces, we’re starting to see machine learning take the place of higher order reasoning and data analysis “sense making.” It’s too early to tell but I’m optimistic.
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