Mechanism of biological noise cancellation revealed

In biology, the physical differences between organisms of the same type, for example two humans, originate from so-called developmental noise stemming from probabilistic collisions between reacting molecules and environmental conditions in cells during the early stages of the organism's growth. Generally, mechanisms are in place to prevent biological noise from resulting in incorrect organismal developments. Makoto Sato from Kanazawa University and colleagues have now discovered that a particular biochemical signaling pathway contributes to noise canceling in the differentiation process of neural stem cells—the self-renewing cells that play an important part in the development of the nervous system of animals during the embryonic stage.

As a model system for understanding cancellation mechanisms of biological noise in a multicellular organism, the researchers looked at a particular development stage of the visual system in fruit flies: the propagation of the so-called proneural wave, during which neuroepithelial cells differentiate into neuroblasts (cells in the process of dividing into neurons).

Inspired by earlier research, Sato and colleagues hypothesized that a signaling pathway (a particular chain of reactions between proteins in cells) known as JAK/STAT is involved in noise cancellation. The scientists combined mathematical modeling and genetic experiments. For the former, they designed a set of mathematical equations that quantify the variations in the system and reproduce the progression of the proneural wave. When including JAK/STAT signaling, they found that spontaneous, noise-induced neuroblast differentiation is canceled.

To confirm the effect of JAK/STAT signaling in vivo, the researchers performed experiments wherein the signaling pathway was reduced in a controlled way. Upon reduction, stochastic differentiation of neuroblasts was observed, consistent with the conclusion that JAK/STAT has a noise-canceling function. Further genetic experiments provided more insights into the details of how noise canceling by JAK/STAT happens, and that this may be a function that has been conserved throughout evolution.

Not only does the work of Sato and colleagues contribute to a better understanding of noise-canceling mechanisms in developmental biology, it also emphasizes the power of combining in silico with in vivo studies. The scientists write, "By applying a combination of mathematical modeling and molecular genetics, we can solve biological questions that have previously been difficult to address."