D. Morgan

Deep learning identifies heterogeneous subpopulations in breast cancer cell lines

This study uses deep learning to classify transcriptomic subpopulations in breast cancer cell lines based on morphology, showing that chemotherapy-induced changes and intra-line subpopulations are identifiable.

Directed evolution-based discovery of ligands for in vivo restimulation of CAR-T cells

This study develops a method to generate optimized peptide ligands for CAR-T cell restimulation, demonstrating enhanced expansion and memory development in preclinical models.

Functional Characterisation of the ATOH1 Molecular Subtype Indicates a Pro-Metastatic Role in Small Cell Lung Cancer

The paper identifies ATOH1 as a pro-metastatic oncogenic driver in SCLC by showing its role in cell survival and metastasis suppression upon depletion.

Antibodies generated in vitro and in vivo elucidate design of a thermostable ADDomer COVID-19 nasal nanoparticle vaccine

This study develops a thermostable ADDomer-based nanoparticle vaccine that neutralizes SARS-CoV-2 and cross-reacts with VOCs, demonstrating its potential for nasal administration.

Activating P2Y1 receptors improves function in arteries with repressed autophagy

This study shows that activating P2Y1 receptors enhances arterial function in conditions where endothelial autophagy is suppressed.

Integrating multimodal data sets into a mathematical framework to describe and predict therapeutic resistance in cancer

This paper develops a framework integrating single-cell transcriptomic data with longitudinal treatment response data to predict drug resistance in breast cancer, achieving higher predictive accuracy with integrated data.

Expression and function of voltage gated proton channels (H V 1) in MDA-MB-231 cells

This study investigates the role of HV1 in breast cancer by comparing knock-down and knock-out approaches in MDA-MB-231 cells, showing differential effects on migration, H2O2 release, glycolysis, and tumor growth.