Didac Santesmasses

This paper introduces a novel genome engineering method for iPSCs that enables efficient multiplex gene editing and clone selection, improving the precision and speed of iPSC-based therapies.

The paper introduces IntQuery, a deep learning model that predicts LSI off-target activity genome-wide using data from Cryptic-seq.

The paper develops and validates methods to detect off-target recombination by Large Serine Integrases, finding higher sensitivity than whole genome sequencing.

This study shows that the burden of rare protein-truncating variants negatively impacts human healthspan and lifespan in large cohorts.

The paper presents the tuatara genome, highlighting its evolutionary significance and unique features compared to other vertebrates.

The paper traces the evolutionary history of selenophosphate synthetase (SPS) genes, showing how they duplicated and subfunctionalized to acquire distinct roles in metazoans.