J. D. Cohen

A SMG1 inhibitor disrupts nonsense-mediated decay, increasing expression of neoantigens from truncating mutations and enhancing immune targetable peptides on cancer cells.

This study shows that the proprotein convertase BLI-4 is required for the secretion of cuticle collagens in C. elegans, revealing a role for N-terminal processing in intracellular trafficking and matrix assembly.

The paper shows auxin's biphasic control of cell expansion coordinates hypocotyl elongation and apical hook formation in etiolated seedlings.

This study identifies PTR-4 as essential for organizing the pre-cuticular apical extracellular matrix in C. elegans, with defects in cuticle formation and function in its absence.

This paper designs CRISPR-Cas9 guide RNAs targeting HIV-1 exons to reduce viral load in infected cells without off-target effects.

The paper develops a normative model of prospective memory that integrates reinforcement learning and evidence accumulation to optimize task performance with noisy perception and memory.

The paper describes a PCR-based assay for detecting aneuploidy in low DNA samples, showing 49% prevalence in non-metastatic cancers and 80% sensitivity when combined with other biomarkers.

This study shows rats display similar time preferences in foraging and intertemporal choice tasks, supported by a quasi-hyperbolic discounting model.

This study shows that head-fixed flies navigate differently in 2D visual VR compared to 1D VR, adapting behavior to optogenetic stimuli and learning to avoid specific landmarks.

The paper investigates how episodic memory reactivation during working memory maintenance affects recognition performance, finding that it introduces context and leads to errors and slower responses.

The paper identifies an optimal training error rate of 15.87% (85% accuracy) for learning algorithms in binary classification tasks, applicable to both AI and biological neural networks.

This study shows that an anomalous diffusion model better describes cell migration in 2D and 3D environments than the persistent random walk model, especially in subdiffusive conditions.