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New probes shine a light on the role of four-stranded DNA in human cells
A better understanding of the role of four-stranded DNA (G-quadruplex) could enhance cancer therapeutics, said the developers of the probes.
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Cell Cultures
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Novel human alveolar tissue model could help COVID-19 drug development
Researchers will use the in vitro model to study how respiratory viruses, like SARS-CoV-2, cause Acute Respiratory Distress Syndrome (ARDS) and develop potential interventions.
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Whitepaper: Remdesivir: The technologies behind the discovery
Remdesivir is being prescribed under FDA emergency use authorisation as a treatment for patients with COVID-19.
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Novel intestine model could accelerate the development of treatments
The transparent millifluidic perfusion cassettes (mPCs) developed by researchers should allow for better evaluations of the interactions between the cells and invading pathogens.
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Brain injury may drive the development of cancer
A new study reveals that the healing process following a brain injury could initiate the growth of glioblastoma cancers.
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Human 3D cell-based systems to research gout: drug discovery for a neglected disease
In this article Andrew Nyborg from Horizon Therapeutics discusses why researchers are taking a second look at gout and how they are modelling the condition, which is unique to humans.
webinar
New methods towards efficient and high-throughput drug-target screening
17 December 2020 | By Living Systems Institute, University of Exeter
Watch our on-demand webinar where we explore new methods to improve data quality from high-throughput screens. You'll learn about solutions for common problems in drug-target discovery and our keynote speaker will also look at case studies where new approaches to screening have identified high-quality candidate drugs for proliferative diseases.
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Next-generation diabetes prodrugs identified using novel screening platform
Researchers engineered the Disque Platform, a high-fidelity culture system, to enable them to screen drugs able to promote β cell proliferation.
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Researchers develop computer algorithm to identify cancer cell lines
Scientists have trained a computer algorithm to identify differences in cancer cell lines based on microscopic images, preventing the misclassification of cells.
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Brain organoids used to identify promising treatments for Rett syndrome
Two drugs, Nefiracetam and PHA 543613, were able to return neuronal signalling to near normal in organoids derived from patients with the autism spectrum disorder, Rett syndrome.
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New embryonic stem cell type could advance regenerative medicine
Scientists suggest that research using XPSCs, an intermediate form of embryonic stem cell, could help accelerate the development of stem cell-derived tissues and organs for transplantation.
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Advancing CHO cell line engineering with CRISPR
Chinese hamster ovary (CHO) cell lines are a firm favourite with biologics companies because of the extensive developmental work undertaken in recent decades. In this article, Junrui Li divulges how CRISPR technology is now being employed to further enhance productivity.
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Biosynthetic polysaccharide-based drugs and nutraceuticals from non-animal sources
Glycosaminoglycans (GAGs) are a class of naturally occurring polysaccharides that play vital roles in cellular functions. GAGs (eg, hyaluronic acid, heparosan, chondroitin, chondroitin sulfate, heparan sulfate and heparin) have also been utilised in biopharmaceutical and nutraceutical industries. Animal-sourced GAGs can contain process impurities and contaminants, which may result in adverse…
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A novel blood-brain barrier model for cerebral malaria research
In this article Maria Bernabeu, Group Leader at EMBL, Barcelona, discusses why it is important to research and develop novel therapeutics for cerebral malaria and how her research group intends to develop a 3D blood-brain barrier model for this purpose.
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Transcription factor source for customised stem cell programming
Researchers have found a way to systematically extract various cell types from induced pluripotent stem cells and made their transcription factor source accessible for other scientists.