Single-cell multiomic and spatial landscape of the primate pineal gland reveals circadian and melatonin regulatory architecture.

Zheng, Jihong; Xiao, Yuchen; Lyu, Jianjun; Xu, Hongtao; Zhang, Yaqun; Li, Yanchuan; Li, Yihao; Wang, Tianjun et al. · Proc Natl Acad Sci U S A · 2026

basic_science · Level V

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Abstract

The mammalian pineal gland maintains normal circadian rhythms and homeostasis by secreting melatonin. However, the lack of a single-cell-resolved regulatory map limits our understanding of how these neuroendocrine functions are orchestrated. Here, we constructed a multiomics atlas of the pineal gland from <i>Macaca fascicularis</i> by integrating snRNA-seq, snATAC-seq, and spatial transcriptomics. We identified pinealocytes as the predominant cell type, alongside six glial and vascular lineages. Chromatin accessibility analysis delineated cell-type-specific regions enriched for melatonin synthesis and phototransduction genes. Notably, we resolved a dual-layer regulatory architecture: While melatonin synthesis programs are robustly organized, circadian clock regulators exhibit a distinct, sparse spatial pattern. Coexpression networks further identified core modules and regulatory hubs-including CRX/OTX2, LHX4, and RORA-that integrate these circadian and light-responsive signals. Cell-cell communication analysis identified signaling axes, such as <i>PTN</i>-<i>ALK</i>/<i>SDC2</i>, <i>RA</i>-<i>RORB</i>, and <i>NRG1</i>-<i>ERBB4</i>, that potentially coordinate this spatial functional organization. Integrating genetic traits showed that sleep and neuropsychiatric risk variants preferentially map to these pineal regulatory modules. Specifically, sleep-associated loci converged on <i>MEIS1</i>-linked elements, while bipolar disorder-associated loci highlighted candidate genes of <i>RDH12</i> and <i>SDK2</i>. Overall, this study reveals the cellular diversity and spatial regulatory logic of the primate pineal gland, providing a physiological foundation for investigating circadian and neuroendocrine regulation in healthy and disease models.

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