Teemu P. Miettinen

Division-resolved inference of flow and trajectories in proliferating cell populations

DRIFT infers division-resolved cellular dynamics from population measurements, recovering accurate state progression and redistribution in proliferating cell populations.

Proteomes reflect size-based growth constraints across diverse microbes

The paper uses proteomic data to show that microbial growth rates are constrained by size-related factors, with intermediate-sized cells having the highest growth potential.

Inertial sensing of water content in tumor spheroids

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.

Stochasticity in mammalian cell growth rates drives cell-to-cell variability independently of cell size and divisions

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

Integrating Single-Cell Biophysical and Transcriptomic Features to Resolve Functional Heterogeneity in Mantle Cell Lymphoma

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.

Biophysical and molecular mechanisms responsible for phytoplankton sinking in response to starvation

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

Single-cell mass accumulation reveals bacterioplankton growth rate in native seawater

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.

Measuring single-cell density with high throughput enables dynamic profiling of immune cell and drug response from patient samples

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.

Buoyant mass reveals distinct T cell states predictive of checkpoint response

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

Plasma membrane folding enables constant surface area-to-volume ratio in growing mammalian cells

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

Metabolic regulation of species-specific developmental rates

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.