GEO series
Detecting Circadian Rhythmicity By Single Cell Multiomics
GSE288579
Mus musculus
Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing
12 samples
2026/02/04
GPL19057
Summary
This study employs advanced single cell multiomics to map the transcriptomic and epigenomic landscapes of liver peripheral clocks. By integrating these data, the research identifies core circadian genes, such as Bmal1, Clock, Per1, and Per2, exhibiting cyclic patterns across liver cell populations. Additionally, the study uncovers cell-type- and cell-state-specific cyclic genes, providing new insights into the circadian regulation tailored to the liver’s diverse metabolic functions.
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Paper (PMID 40291723) ↗
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