A multi-tissue multi-omics analysis reveals distinct kineztics in entrainment of diurnal transcriptomes by inverted feeding.
A multi-tissue multi-omics analysis reveals distinct kineztics in entrainment of diurnal transcriptomes by inverted feeding.
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多组织多组学分析揭示了反向进食夹带昼夜转录组的独特动力学。
DOI:
10.1016/j.isci.2021.102335
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发表时间:
2021-04-23
期刊:
影响因子:
5.8
通讯作者:
Li MD
中科院分区:
文献类型:
--
作者:
Xin H;Deng F;Zhou M;Huang R;Ma X;Tian H;Tan Y;Chen X;Deng D;Shui G;Zhang Z;Li MD
Time of eating synchronizes circadian rhythms of metabolism and physiology. Inverted feeding can uncouple peripheral circadian clocks from the central clock located in the suprachiasmatic nucleus. However, system-wide changes of circadian metabolism and physiology entrained to inverted feeding in peripheral tissues remain largely unexplored. Here, we performed a 24-h global profiling of transcripts and metabolites in mouse peripheral tissues to study the transition kinetics during inverted feeding, and revealed distinct kinetics in phase entrainment of diurnal transcriptomes by inverted feeding, which graded from fat tissue (near-completely entrained), liver, kidney, to heart. Phase kinetics of tissue clocks tracked with those of transcriptomes and were gated by light-related cues. Integrated analysis of transcripts and metabolites demonstrated that fatty acid oxidation entrained completely to inverted feeding in heart despite the slow kinetics/resistance of the heart clock to entrainment by feeding. This multi-omics resource defines circadian signatures of inverted feeding in peripheral tissues (www.CircaMetDB.org.cn). A multi-omics analysis of food entrainment in mouse peripheral tissues Inverted feeding rhythm entrains diurnal transcriptomes with distinct kinetics Phase kinetics of tissue clocks is conditioned by constant light Cardiac metabolism entrains to feeding fast with slow kinetics of the heart clock Animal Physiology ; Systems Biology ; Metabolomics ; Transcriptomics
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DOI:
10.1523/jneurosci.2191-08.2008
发表时间:
2008-11-12
期刊:
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子:
--
作者:
Chen R;Seo DO;Bell E;von Gall C;Lee C
通讯作者:
Lee C
影响因子:
48
作者:
Langmead, Ben;Salzberg, Steven L.
通讯作者:
Salzberg, Steven L.
影响因子:
64.5
作者:
Dyar KA;Lutter D;Artati A;Ceglia NJ;Liu Y;Armenta D;Jastroch M;Schneider S;de Mateo S;Cervantes M;Abbondante S;Tognini P;Orozco-Solis R;Kinouchi K;Wang C;Swerdloff R;Nadeef S;Masri S;Magistretti P;Orlando V;Borrelli E;Uhlenhaut NH;Baldi P;Adamski J;Tschöp MH;Eckel-Mahan K;Sassone-Corsi P
通讯作者:
Sassone-Corsi P
影响因子:
29
作者:
Chaix A;Lin T;Le HD;Chang MW;Panda S
通讯作者:
Panda S
影响因子:
64.5
作者:
Guan D;Xiong Y;Borck PC;Jang C;Doulias PT;Papazyan R;Fang B;Jiang C;Zhang Y;Briggs ER;Hu W;Steger D;Ischiropoulos H;Rabinowitz JD;Lazar MA
通讯作者:
Lazar MA