High-throughput screening protocol created to discover SHP2 inhibitors
Researchers have developed a cross-validation high-throughput screening method to accelerate the identification of SHP2 inhibitors.
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Researchers have developed a cross-validation high-throughput screening method to accelerate the identification of SHP2 inhibitors.
Researchers have developed a potential strategy to treat cystic fibrosis, using oligonucleotides to correct certain gene defects.
Scientists say COVID-19 may activate tuberculosis infection, but stem cell-mediated defence mechanisms could be targeted to develop vaccines.
Researchers have developed kidney organoids that resemble the collecting duct system, using ureteric bud progenitor cells.
A new magnetically driven rotary microfilter has been developed to filter particles inside a lab-on-a-chip microfluidic device.
Two groups of infant rhesus macaques received one of two potential COVID-19 vaccines, which were shown to elicit high levels of neutralising antibodies.
Researchers have developed a potential cancer treatment using light from radiopharmaceuticals and polymer nanoparticles to kill cancer cells.
Scientists have found differences in 206 genes between the GRCh38 (hg38) and GRCh37 (hg19) human reference genomes.
Researchers have found that the CDK inhibitor AT7519 could be used to treat pancreatic cancer patients whose tumours are addicted to mutant KRAS.
For the first time, scientists have found evidence that polymerase theta can write RNA segments back into DNA.
A new radiopharmaceutical compound has shown success at treating ovarian cancer in mice and in vitro studies.
Researchers have shown that the leakage of mitochondrial double-stranded DNA into the cell can contribute to Parkinson's disease.
Researchers have shown that omega-3 very long-chain polyunsaturated fatty acids can block SARS-CoV-2 and protect lung cells.
Monoamine oxidase inhibitors can block the function of a protein, helping T cells to effectively fight cancer, a study in mice has shown.
Researchers have created an algorithm that can predict the efficiencies of guide RNAs for CRISPR, potentially making it more precise.