Research Appraisalobservational

Spatial and single-cell transcriptomic atlas of human suprachiasmatic nucleus

NeuronYang, Qiaoqiao, Wang, Haifang, Gao, Le et al.15 Apr 2026DOI

Clinical Snapshot

75CEBM
Evidence: Moderateobservational

PICO Framework

P — PopulationAdult human brain tissue samples (suprachiasmatic nucleus), with comparative data from mice and non-human primates
I — InterventionSpatial transcriptomics, single-nucleus RNA sequencing, and deep-learning-based histological analysis
C — ComparatorCross-species comparison (humans vs mice vs non-human primates) and integration with genome-wide association studies
O — OutcomesIdentification of human SCN neuron subtypes, spatial distributions, transcriptomic profiles, neuropeptide signaling networks, and associations with chronotype

Bottom Line

This comprehensive transcriptomic atlas of the human suprachiasmatic nucleus represents a significant advance in understanding human circadian biology. The identification of seven distinct neuronal subtypes and their spatial organization provides crucial foundational knowledge previously lacking in human studies. The cross-species comparison reveals both conserved mechanisms and human-specific adaptations in circadian regulation. Particularly noteworthy is the integration with GWAS data identifying specific neuronal correlates of chronotype, potentially opening new therapeutic avenues. However, the study's clinical impact remains theoretical pending validation studies. For Australian clinicians, this research may eventually inform treatment approaches for circadian rhythm disorders, particularly relevant given Australia's high prevalence of shift work and associated sleep disorders. The findings establish a molecular framework for understanding individual differences in circadian timing and may guide future personalized approaches to circadian medicine.

Evidence: Moderate

Key Findings

  • P Value: Not reported

  • Effect Size: Not specified in abstract

  • Primary Outcome: Identification of seven distinct human SCN neuron subtypes with specific transcriptomic profiles and spatial distributions

  • Nnt Or Sensitivity: Identified AVP/NMS subtype as potential neuronal correlate for morningness chronotype through GWAS integration

  • Confidence Interval: Not reported

Clinical Application

High feasibility for research applications; clinical translation requires further validation studies Relevant to Australian sleep medicine specialists and neurologists treating circadian disorders; may inform future therapeutic targets for conditions like delayed sleep phase disorder common in Australian adolescents and shift workers Adults with circadian rhythm disorders, sleep-wake cycle disturbances, and researchers studying human chronobiology

Abstract

The suprachiasmatic nucleus (SCN) is considered the master pacemaker of the circadian clock in mammals, but our current knowledge of the SCN is mostly based on rodent studies. Here, we report a comprehensive molecular and cellular atlas for the adult human SCN by spatial transcriptomics, single-nucleus RNA sequencing, and deep-learning-based histological analysis. We identified seven human SCN neuron subtypes with specific transcriptomes and spatial distributions. Comparison of humans, mice, and non-human primates revealed the conserved functional segregation within the SCN regulated by LIM homeobox 1 (LHX1) and RAR-related orphan receptor B (RORB). Furthermore, our results suggested that the human SCN has undergone marked reorganization of its neuropeptide signaling network. Finally, integrative analysis of human SCN transcriptomes and genome-wide association studies (GWASs) identified arginine vasopressin (AVP)/neuromedin S (NMS) subtype as the potential neuronal correlate for morningness chronotype. Thus, our spatial and single-cell transcriptomic atlas of the human SCN provided a basis for the understanding of neural and molecular mechanisms of the human circadian clock.

References

  1. 1.Yang, Q., Wang, H., Gao, L., Ma, D., Xiong, Y., Tian, Y., Liu, Y., Shen, Z., Zhang, X., Li, W., & Yan, J. (2026). Spatial and single-cell transcriptomic atlas of human suprachiasmatic nucleus. Neuron. https://doi.org/10.1016/j.neuron.2025.12.032
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