Research introduction

Cell growth is a fundamental process for biological systems; it is supported by underlying metabolic fluxes. Cells must balance their biomass synthesis and energy consumption to achieve efficient growth; furthermore, when environmental changes cells could maintain their homeostasis by re-adjusting growth rate and metabolism. We use experimental, computational, and theoretical approaches to study the dynamic interplay between growth and metabolism.

Metabolic dynamics at single-cell level

Measuring cellular metabolism in real-time has been challenging in experiments. We combined microfluidic culture system, metabolic biosensors, fluorescence microscopy and quantitative image analysis for our study. We showed that the ATP concentration in E. coli cells varies along cell cycles, and this periodic dynamics depends on acetate fermentation (Lin and Jacobs-Wagner, 2022). At the single cell level, fluctuation of ATP is negatively correlated with single-cell growth rate, indicating the importance of metabolic homeostasis. In the future, we will explore the dynamical regulations of various metabolites under genome perturbation and nutrient changes. We are also interested in metabolism of cell-cell interaction within microbial communities.

ThumbTime-lapse measurements of ATP level in E. coli. Cells inside the microfluidics device were arranged along the linear chamber. In the colored figure, each column represents one time point and ATP levels are represented by colors. Under normal exponential growth the ATP level exhibits oscillatory dynamics between 1 to 4 mM.

Mathematical models for reaction networks and autocatalytic systems

Biological systems are often nonlinear and far away from equilibrium. Understanding the nature of growth and expansion is the common focus in systems biology, biophysics, and mathematical biology. We developed a theoretical framework based on scalable flux functions and reaction networks for analyzing an entire class of exponential-growing systems. Our modeling ability was extended from classical balanced growth to oscillatory and even chaotic growth modalities (Lin et. al., 2020). In the future, we are interested in analyzing autocatalytic systems with concepts from various disciplines, including ergodic theory, time-delay system, and nonequilibrium physics.

Recruitment

Our lab is recruiting members from all levels, including postdoc researchers, PhD and master students, and research assistants. Please see the following links for detail information or contact Dr. Lin by email. (postdoc,research assistants)

Wei-Hsiang Lin