Tuğçe Aktaş

The paper uses single-cell RNA sequencing to analyze mutant phenotypes of epigenetic regulators in mouse embryos, revealing how these regulators partition the genome based on developmental and evolutionary constraints.

This study uses a deep-learning model to analyze scRNA-seq data and identifies how folate deficiency disrupts metabolic transitions in developing mouse neural ectoderm, leading to morphological defects.

The paper identifies that nucleolar restructuring and Pol1 activity patterns are linked to neuronal subtype identity through dual rRNA-mRNA transcriptomes in developing neocortex.

The paper identifies SRRM2 as a surface-exposed cancer target and shows its utility in CAR-T cell therapy.

This study identifies SON and SRRM2 as the core components of nuclear speckles by demonstrating that their combined depletion leads to near-complete dissolution of these structures.

The paper introduces uvCLAP, a non-radioactive method for identifying in vivo RNA-binding protein targets, showing it is reliable and comparable to other methods.