Single-cell omics is transforming our understanding of cell biology and disease, yet the
systems-level analysis and interpretation of single-cell data faces many challenges. In this …

Cell fate decision-making events involve the interplay of many molecular processes, ranging
from signal transduction to genetic regulation, as well as a set of molecular and …

The Waddington epigenetic landscape has become an iconic representation of the cellular
differentiation process. Recent single-cell transcriptomic data provide new opportunities for …

Entropy as a measure of variability and stemness in single-cell transcriptomics -
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As the single cell field races to characterize each cell type, state, and behavior, the
complexity of the computational analysis approaches the complexity of the biological …

Similarities between microbial and cancer cells were noticed in recent years and serve as a
basis for an atavism theory of cancer. Cancer cells would rely on the reactivation of an …

When human cord blood–derived CD34+ cells are induced to differentiate, they undergo
rapid and dynamic morphological and molecular transformations that are critical for fate …

Single-cell analysis allows biologists to gain huge insight into cell differentiation and tissue
structuration. Randomness of differentiation, both in vitro and in vivo, of pluripotent …

Differentiation can be modeled at the single cell level as a stochastic process resulting from
the dynamical functioning of an underlying Gene Regulatory Network (GRN), driving stem or …

Statistical physics provides a useful perspective for the analysis of many complex systems; it
allows us to relate microscopic fluctuations to macroscopic observations. Developmental …