Researchers study iPSCs to uncover genetic causes of disease
Sequencing and transcriptome data on iPSCs has been used to identify correlations between genetic variants and expression patterns.
List view / Grid view
Genomics is the branch of molecular biology concerned with the structure, function, evolution, and mapping of genomes.
Sequencing and transcriptome data on iPSCs has been used to identify correlations between genetic variants and expression patterns.
Researchers have used nanobodies to act as an assistant to CRISPR, bringing in effectors to turn specific genes on and off.
Researchers have shown that a guide RNA can be used in CRISPR gene editing to ensure sequential Cas9 cuts to DNA.
Vito Quaranta, professor of biochemistry and pharmacology, discusses how cancerous cells adopting novel mechanisms of energy production could be sensitised to existing therapies with a focus on melanoma.
Researchers have developed a personalised medicine platform that could advance genomic medicine research for cancer.
New research shows tissue damage to cells carrying KRAS mutations induces epigenetic changes that promote pancreatic cancer.
Analysis reveals people taking nucleoside reverse transcriptase inhibitors are significantly less likely to develop dry macular degeneration, a leading cause of age-related vision loss.
A new phenotype-based compound screening technology, called DeepCE, identified 10 compounds that could be repurposed for COVID-19.
The N439K mutation improves the interaction between SARS-CoV-2 Spike protein and the viral receptor ACE2 and eludes antibody-mediated immunity, say investigators.
The UK Government has said genomics expertise will be offered to countries around the world to identify new variants of SARS-CoV-2.
TALEN was shown to be almost five times more efficient than CRISPR-Cas9 at locating and editing genes in heterochromatin.
The patient-derived model of non-alcoholic fatty liver disease (NAFLD) accurately reproduced the complex human metabolic pathways involved in the development of the disease.
Drs Sam Cooper and Michael Briskin of Phenomic AI, discuss how artificial intelligence (AI) is enabling them to target multi-cellular interactions, such as those in the tumour stroma, for drug development.
Treating only a few nerve cells with the hyper-interleukin-6 (hIL-6) gene therapy stimulated the regeneration of nerves.
The natural language processing model trained using viral protein sequence data was able to predict promising targets for vaccines against HIV, influenza and coronaviruses.