Noise is prevalent in biology and has been widely quantified using snapshot measurements. This static view obscures our understanding of dynamic noise properties and how these affect gene expression and cell state transitions. Using a CRISPR/Cas9 Zebrafish her6::Venus reporter combined with mathematical and in vivo experimentation, we explore how noise affects the protein dynamics of Her6, a basic helix‐loop‐helix transcriptional repressor. During neurogenesis, Her6 expression transitions from fluctuating to oscillatory at single‐cell level. We identify that absence of miR‐9 input generates high‐frequency noise in Her6 traces, inhibits the transition to oscillatory protein expression and prevents the downregulation of Her6. Together, these impair the upregulation of downstream targets and cells accumulate in a normally transitory state where progenitor and early differentiation markers are co‐expressed. Computational modelling and double smFISH of her6 and the early neurogenesis marker, elavl3, suggest that the change in Her6 dynamics precedes the downregulation in Her6 levels. This sheds light onto the order of events at the moment of cell state transition and how this is influenced by the dynamic properties of noise. Our results suggest that Her/Hes oscillations, facilitated by dynamic noise optimization by miR‐9, endow progenitor cells with the ability to make a cell state transition.

Ultradian oscillations of key transcription factors, such as members of the Hes family, are thought to be important in Neural Progenitor Cell (NPC) maintenance and miR-9 acts as a tuner of these oscillations in vitro. However, the existence and the role of such dynamic oscillatory expression in vivo is poorly understood. Here, we have generated a Zebrafish CRISPR knock-in Her6::venus fusion (Hes1 orthologue) to study endogenous dynamic gene expression in the embryonic hindbrain. We show that Her6 undergoes a transition from irregular, noisy, fluctuations to periodic oscillations as neurogenesis proceeds. In the absence of miR-9 input, noise in the Her6 oscillator increases and NPCs are unable to transit away from an intermediary state where they co-express progenitor and early differentiation markers.

her6 is a zebrafish ortholog of Hes1, known for its role in maintaining neural progenitors during neural development. Here, we characterise the population-level effect of altering Her6 protein expression dynamics at the single-cell level in the embryonic zebrafish telencephalon. Using an endogenous Her6:Venus reporter and 4D single-cell tracking, we show that Her6 oscillates in neural telencephalic progenitors and that fusion of a protein destabilisation domain (PEST) to Her6:Venus alters its expression dynamics causing most cells to downregulate Her6 prematurely. However, in PEST mutants, a higher proportion of cells exhibit Her6 oscillations and while expression is reduced in most cells, some cells express Her6 at wild-type levels resulting in increased heterogeneity of Her6 expression in the population. Despite the profound differences in the single-cell Her6 dynamics, differentiation markers do not exhibit major differences early on, while an increase in differentiation is observed at later developmental stages (vglut2a, gad1 and gad2). At the same time, at late stage the overall size of the telencephalon remains the same. Computational modelling that simulates changes in Her6 protein stability reveals that the increase in population Her6 expression heterogeneity is an emergent property of finely tuned Notch signalling coupling between single cells. Our study suggests that such cell coupling provides a compensation strategy whereby a normal phenotype is maintained while single-cell dynamics are abnormal, although the limit of this compensation is reached at late developmental stages. We conclude that in the neural progenitor population, cell coupling controls Her6 expression heterogeneity and in doing so, it provides phenotypic robustness when individual cells lose Her6 expression prematurely.