Ariel Amir

This paper develops a Bayesian framework to accurately infer cell-size regulation strategies by accounting for noise and variability, showing that previous methods were biased and that adder-like regulation is more consistent across organisms.

This paper develops a cell-machine interface to program collective cell migration by rewriting cell-cell interaction rules using optogenetic control and computer vision.

The paper shows that bacterial RNA polymerase's C-terminal domains accelerate DNA binding through a physical mechanism involving flexible tethers.

This study develops a framework to separate measurement noise from biological sources of growth rate variability in single-cell data, finding continuous noise in bacteria and mammals with distinct patterns of division-associated perturbations.

The paper re-examines mRNA-protein correlations in E. coli, develops a theoretical framework accounting for cell growth and division, and validates it with simulations and data.

This study develops a model to analyze how error correction and the spindle assembly checkpoint affect mitotic timing and fidelity in human cells.

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 design principles of transcription factor intrinsically disordered regions that enhance binding affinity and search time for target DNA.

The paper uses optogenetic tools to control pheromone gradients in budding yeast, enabling spatial regulation of mating behavior and cell fusion.

The paper investigates whether cell length and volume can be used interchangeably in cell cycle analysis and finds they can be, due to small cell width fluctuations.

This study investigates the role of FtsN and FtsA in E. coli cell division and finds that FtsZ protofilaments, not FtsN, are rate-limiting for division onset.

The paper evaluates the reliability of cognitive tasks using a large dataset and develops a web tool to predict reliability based on trial numbers and participants.

The paper quantifies mitotic error correction dynamics in human cells and validates a model explaining error reduction and anaphase timing.

This study examines how weak clonal interference affects fitness trajectories under macroscopic epistasis, finding that changes in beneficial mutation supply alter the trajectory's functional form.

The paper develops a method to estimate intrinsic, extrinsic, and measurement noise in gene expression using time-resolved protein concentration data from single-cell bacterial experiments.

The paper quantifies how phenotypic variability affects microbial population fitness in fixed-size populations and shows how environmental fluctuations disrupt this relationship.

The paper develops a model of flagellar length control in Chlamydomonas reinhardtii, showing that a limiting pool of IFT proteins leads to an inverse growth-rate-length relationship and identifies coupling mechanisms that enable simultaneous length control.

This study investigates the physical mechanisms of bacterial cell lysis in Escherichia coli, revealing distinct timescales for bulging and swelling and their energetic drivers.

The paper shows MreB filaments align along principal membrane curvature to create rod shape in bacteria, supported by biophysical modeling and experimental observations.