Heterogeneity among individual cells is a characteristic and relevant feature of living
systems. A range of experimental techniques to investigate this heterogeneity is available …

Tracking individual cells has allowed a new understanding of cellular behavior in human
health and disease by adding a dynamic component to the already complex heterogeneity …

Phenotypically identical mammalian cells often display considerable variability in transcript
levels of individual genes. How transcriptional activity propagates in cell lineages, and how …

New approaches to lineage tracking have allowed the study of differentiation in multicellular
organisms over many generations of cells. Understanding the phenotypic variability …

Motivation Modern experimental technologies enable monitoring of gene expression
dynamics in individual cells and quantification of its variability in isogenic microbial …

Phenotypic variability in a population of cells can work as the bet-hedging of the cells under
an unpredictably changing environment, the typical example of which is the bacterial …

Single-cell genomic technologies offer vast new resources with which to study cells, but their
potential to inform parameter inference of cell dynamics has yet to be fully realized. Here we …

Cells respond to external signals and stresses by activating transcription factors (TF), which
induce gene expression changes. Prior work suggests that signal‐specific gene expression …

Inferring the parameters of dynamic models is a cornerstone of systems biology. Large
single-cell transcriptomic datasets have opened up many possibilities for new analyses, but …

This thesis presents some results about the variability of the growth of bacteria in
microfluidics droplets. In the first chapter, the microfluidic chip used throughout the PhD is …