Back

Divergent molecular and circuit mechanisms underlie light entrainment of retinal and suprachiasmatic nucleus circadian clocks

Jandot, A.; Calligaro, H.; Dianak-Shoori, A.; Tartour, K.; Sandu, C.; Haddjeri, N.; Ribelayga, C. P.; Ananthasubramaniam, B.; Padmanabhan, K.; Felder-Schmittbuhl, M.-P.; Dkhissi-Benyahya, O.

2026-04-30 neuroscience
10.64898/2026.04.27.721075 bioRxiv
Show abstract

The circadian system aligns behavior and physiology with the 24-hour environmental cycle through a distributed network of clocks including the master pacemaker in the suprachiasmatic nucleus (SCN) and an autonomous retinal clock critical for local retinal physiology and function. Although both clocks are entrained by light, they differ in their photoreceptor inputs and light sensitivity. The specific contributions and mechanisms by which distinct photoreceptor pathways drive their photoentrainment, however, remain incompletely understood. In this study, we conducted a comprehensive transcriptomic and integrative comparative analysis of retinal and SCN circadian light responses using mouse models lacking specific photoreceptors or key components of signaling pathways. Under photopic conditions, we found that each tissue displays distinct light-responsive transcriptional signatures across genotypes, yet both shared a conserved cluster of rod-driven immediate early-genes. Strikingly, the light-evoked transcriptional response was not sufficient to shift the phase of the SCN clock, in contrast to its robust phase-shifting effect on the retinal clock. Furthermore, by genetically disrupting rod/cone electrical coupling and pharmacologically isolating rod pathways, we identified the OFF-cone bipolar cell circuit as both necessary and sufficient to mediate light-induced phase resetting of the retinal clock. Together, these findings delineate the specialized retinal circuitry that underlies circadian entrainment and reveal a fundamental divergence between retinal and SCN mechanisms of photic timekeeping.

Published in Cellular and Molecular Life Sciences · training set

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.