Lung-on-a-chip models enable advanced study of immune response
Researchers have reviewed lung-on-a-chip technologies, finding they are useful for representing the various disease pathologies.
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Researchers have reviewed lung-on-a-chip technologies, finding they are useful for representing the various disease pathologies.
The polymerised form of oestrogen has shown success in mice at preventing further damage to the spinal cord after injury.
Having revealed the activation mechanism and functional states of A2AR signalling, a GPCR, researchers say this could aid drug discovery.
Promising results have been shown in an animal model of Alzheimer's disease treated with zinc finger protein transcription factors.
A synthetic cannabinoid has shown promise as a treatment for involuntary tremors by activating astrocytes in mouse models.
A combination of chemicals has shown promise in pre-clinical studies to produce muscle stem cells, giving hope for regenerative medicine.
Researchers are using a new method to isolate the complex between SARS-CoV-2 and the ACE2 receptor to keep it embedded in the cell membrane.
Scientists have developed a model of the early stages of Alzheimer's disease in rhesus macaques to better test new treatments.
Researchers have developed a technique utilising antibodies to tag disease-causing proteins, to treat the underlying causes of disease.
Researchers have developed a CAR T-cell engineering technique to ensure that only cancer cells are targeted, leaving healthy cells alone in solid tumours.
Using cryo-electron microscopy, researchers have imaged how the SARS-CoV-2 Spike protein changes with the D614G mutation to enable faster spread of infection.
Researchers have developed a cell-based assay for the discovery of new IDO1 inhibitors, overcoming challenges from cell-free assays.
A large number of nanorobots in the bladders of mice have been visualised to reveal their movement and behaviour.
Scientists have created the first model of early human embryos by reprogramming fibroblasts into a blastocyst-like structures.
A novel machine learning method can explain how glycans stabilise proteins, aiding the discovery and design of protein-based drugs.