Scott R. Manalis

This paper measures water content in tumor spheroids using a steel tube resonator, achieving <1% precision error and detecting inter-spheroid variability and responses to kinase inhibition.

This study shows that stochastic growth fluctuations, not cell size or division, drive cell-to-cell growth variability in lymphocytic leukemia cells.

This study identifies lymph node resident memory T cells (LNRM) as a distinct subset with unique effector capabilities compared to lung resident memory T cells and central memory T cells.

The paper quantifies oxygen gradients in the intestine and recreates them ex vivo to study hypoxia's role in epithelial organization.

This study integrates single-cell biophysical and transcriptomic data to identify clinically relevant phenotypes in mantle cell lymphoma, linking biophysical properties to gene expression and drug response.

The paper investigates how nutrient starvation affects gravitational sinking in phytoplankton by analyzing biophysical and molecular changes across species.

The paper measures growth rates of Vibrio bacteria in seawater using a single-cell chemostat, finding they grow consistently and are carbon-limited despite being rare.

The paper develops a high-throughput method to measure single-cell density and applies it to study immune cell states and drug response in patient samples.

This study shows how cancer cell stiffness, influenced by environmental rigidity, affects immune response and metastatic site selection in mice and patients.

The paper uses buoyant mass to identify distinct T cell states that predict response to immune checkpoint therapy in melanoma patients.

The paper shows that mammalian cells maintain a constant surface area-to-volume ratio as they grow by increasing plasma membrane folding.

This study identifies mutation and transcriptional state compatibility in Ph+ ALL MRD, showing that targeting these interactions can overcome BCR::ABL1 independence and improve MRD monitoring.

The paper shows that metabolic rates influence developmental speed in mouse and human embryos, with mouse cells having higher metabolic rates and faster segmentation clock periods.