Multi-omic analyses reveal a connection between the integrated stress response and the regulation of redox and amino acid metabolism when the TCA cycle is impaired.

Uninterrupted CAG repeat length determines onset age in Huntington's disease, and therefore, base editing strategies to generate CAA interruption offer new therapeutic opportunities as they diminish the disease-causing mutation.

Genetic and cellular studies in rodents found branched-chain amino acids are critical nutrients that are transported and oxidized in the mitochondria through their carrier MBC for optimal febrile responses.

The transition of Staphylococcus aureus from commensalism to invasive disease, bacteraemia, is a complex balancing act offsetting offensive and defensive virulence strategies involving the Tca cell wall stress stimulon locus.

Glutamate derived from thalamo-cortical axons regulates the radial dispersion of interneurons in the developing mouse neocortex by limiting the level of expression of the K/Cl co-transporter KCC2.

This four-DNA methylation signature demonstrates potential as a novel independent prognostic indicator for risk-stratifying patients with CM.

CNApp is a novel and unique web-based software that enables the performance of comprehensive and integrative analysis of genomic copy number alterations to uncover new associations with patient-oriented relevance.

The epistasis observed in TF-DNA binding preferences can be explained by the presence of two optima of very similar Gibbs energy that are located relatively far from each other in sequence space.

A novel Mendelian randomisation framework unravels one gene expression component, correlated with proliferation and genome stability-related features, associated with telomere length in lung adenocarcinoma tumours, which provides insights into how telomere length influences the genetic basis of lung cancer aetiology.

Method NEAdriver employs knowledge from global networks to predict novel cancer driver genes in an individualized manner, which is done by accounting for mutations’ co-occurrence in each tumor genome and rigorous statistical evaluation.