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Detecting Circadian Rhythmicity By Single Cell Multiomics

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NIAID Data Ecosystem2026-05-10 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP561216
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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. Overall design: Sequence mouse liver for six time points under light dark condition by the 10X Genomics Multiome ATAC + Gene Expression protocol.
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2026-02-05
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