HCA: Phenotypic fingerprint of cellular function
High-content analysis app note: Phenotypic fingerprint of cellular function following gene editing by high-throughput imaging acquisition and analysis.
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High-content analysis app note: Phenotypic fingerprint of cellular function following gene editing by high-throughput imaging acquisition and analysis.
High-content analysis: monitoring neurite morphology and synapse formation in primary neurons for neurotoxicity assessments and drug screening.
Osteoarthritis (OA) is a painful and debilitating disease of articular joints.1,2 Its clinical prevalence is as high as 21.6 percent of the population in the United States,3 which constitutes direct health costs of over 80 billion US dollars annually.4
Automation offers a choice of powerful ways to design and execute high-quality laboratory research. The use of lab automation is now pervasive in biomedical labs, offering versatile platforms on which to perform an ever‑expanding array of tasks free of human errors, and a unique means to address the problems associated…
Dr Kaylene Simpson, Peter MacCallum Cancer Center, describes their research using high content imaging to examine RNA in cancer cells.
Michael Johnson and his team at Visikol talk about the work they do as a contract research organization on 3D Cell Cultures and how they utilize High-Content Analysis / Screening to generate insights.
Over the past 30 years, one strategy the pharmaceutical industry has adopted in the drug discovery process has been to “fail early, fail often”.1,2 As most molecules in the early stages of drug discovery will have sub-optimal characteristics, significant modification is necessary to improve their properties.
In this In-Depth Focus: the importance of characterising chemical starting points of drugs using appropriate in vitro ADME-toxicity assays, and why do we have no effective treatments for osteoarthritis?
A non-invasive method of imaging tiny bronchioles in the lungs of chronic obstructive pulmonary disease means patients could detect the disease earlier...
In this issue: AI-driven automated chemistry as a tool to accelerate drug discovery processes, the shifting landscape of immuno-oncology, and how lipid molecules provide an insight into biological research.
Target-driven drug discovery, in which the starting point is a specific protein target hypothesised to play an important role in disease, has been the dominant paradigm for the last few decades. However, phenotypic-driven drug discovery, which does not rely on a specific target hypothesis, is starting to regain traction for…
A machine-learning model has been developed to analyse protein sequences, giving an insight to their structure, function and phylogeny...
A small molecule inhibitor has been observed to activate a dramatic reduction in tumour growth in EBV-associated tumours...
An extremely powerful MRI scanner was used to image proteins in the brain of cancer patients and has shown that protein content correlates with treatment...
A meta-analyses of a number of studies has found that variants in numerous genes work together to contribute to Tourette's syndrome...