Abstract

How time is measured by neural stem cells during temporal neurogenesis has remained unresolved. By combining experiments and computational modeling, we define a Shh/Gli-driven three-node timer underlying the sequential generation of motor neurons (MNs) and serotonergic neurons in the brainstem. The timer is founded on temporal decline of Gli-activator and Gli-repressor activities established through down-regulation of Gli transcription. The circuitry conforms an incoherent feed-forward loop, whereby Gli proteins not only promote expression of Phox2b and thereby MN-fate but also account for a delayed activation of a self-promoting transforming growth factor-β (Tgfβ) node triggering a fate switch by repressing Phox2b. Hysteresis and spatial averaging by diffusion of Tgfβ counteract noise and increase temporal accuracy at the population level, providing a functional rationale for the intrinsically programmed activation of extrinsic switch signals in temporal patterning. Our study defines how time is reliably encoded during the sequential specification of neurons.

Highlights

  • Time is a central axis of information during embryogenesis, but few mechanisms explaining the timing of developmental events have been resolved [1,2,3,4]

  • Sonic hedgehog (Shh)/Gli signaling promotes expression of Phox2b The sequential specification of motor neurons (MNs), 5HTNs, and oligodendrocyte precursors (OPCs) by Nkx2.2+ neural stem cells (NSCs) is recapitulated in mouse embryonic stem cell (ESC) cultures in response to timed activation of Shh and retinoic acid signaling [15]

  • To define genome-wide transcriptional changes over time, we determined the transcriptome of Nkx2.2+ NSCs isolated at different time points by RNA sequencing (RNA-seq)

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Summary

Introduction

Time is a central axis of information during embryogenesis, but few mechanisms explaining the timing of developmental events have been resolved [1,2,3,4]. In the forming central nervous system (CNS), defined pools of multipotent neural stem cells (NSCs) produce distinct cell types in a specific sequential order and over defined time frames. In this process, aging NSCs become progressively restricted in their developmental potential by losing competence to generate early-­ born cell types [5], and genome-wide analyses have revealed that NSCs undergo dynamic transcriptional changes over time [6]. The composition and functional properties of time-encoding circuitries determining time frames and point of transitions have not been resolved in any model system [7, 8]. Biological timers regulating temporal neurogenesis are likely to exhibit properties that counterbalance noise in regulatory networks, but how this is achieved at the molecular level remains unknown

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