High-throughput discovery of genetic determinants of circadian misalignment
High-throughput discovery of genetic determinants of circadian misalignment
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高通量发现昼夜节律失调的遗传决定因素
DOI:
10.1371/journal.pgen.1008577
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发表时间:
2020-01
期刊:
影响因子:
4.5
通讯作者:
e Ky
中科院分区:
文献类型:
--
作者:
Tao Zhang;Pancheng Xie;Yingying Dong;Zhiwei Liu;Fei Zhou;Dejing Pan;Zhengyun Huang;Qiaocheng Zhai;Yue Gu;Qingyu Wu;Nobuhiko Tanaka;uichi Obata;Allan Bradley;Christopher J;Marie-France Champy;teve D. M. Brown;Terry Meehan;Helen E. Parkinson;Kent Lloyd;e Ky
Circadian systems provide a fitness advantage to organisms by allowing them to adapt to daily changes of environmental cues, such as light/dark cycles. The molecular mechanism underlying the circadian clock has been well characterized. However, how internal circadian clocks are entrained with regular daily light/dark cycles remains unclear. By collecting and analyzing indirect calorimetry (IC) data from more than 2000 wild-type mice available from the International Mouse Phenotyping Consortium (IMPC), we show that the onset time and peak phase of activity and food intake rhythms are reliable parameters for screening defects of circadian misalignment. We developed a machine learning algorithm to quantify these two parameters in our misalignment screen (SyncScreener) with existing datasets and used it to screen 750 mutant mouse lines from five IMPC phenotyping centres. Mutants of five genes (Slc7a11, Rhbdl1, Spop, Ctc1 and Oxtr) were found to be associated with altered patterns of activity or food intake. By further studying the Slc7a11tm1a/tm1a mice, we confirmed its advanced activity phase phenotype in response to a simulated jetlag and skeleton photoperiod stimuli. Disruption of Slc7a11 affected the intercellular communication in the suprachiasmatic nucleus, suggesting a defect in synchronization of clock neurons. Our study has established a systematic phenotype analysis approach that can be used to uncover the mechanism of circadian entrainment in mice.
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影响因子:
3.4
作者:
Karatsoreos, IN;Romeo, RD;Silver, R
通讯作者:
Silver, R
影响因子:
64.8
作者:
Cheng, MY;Bullock, CM;Zhou, QY
通讯作者:
Zhou, QY
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64.8
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Skarnes WC;Rosen B;West AP;Koutsourakis M;Bushell W;Iyer V;Mujica AO;Thomas M;Harrow J;Cox T;Jackson D;Severin J;Biggs P;Fu J;Nefedov M;de Jong PJ;Stewart AF;Bradley A
通讯作者:
Bradley A
影响因子:
16.2
作者:
Mazuski C;Abel JH;Chen SP;Hermanstyne TO;Jones JR;Simon T;Doyle FJ 3rd;Herzog ED
通讯作者:
Herzog ED
影响因子:
7.2
作者:
Herzog, Erik D.;Hermanstyne, Tracey;Hastings, Michael H.
通讯作者:
Hastings, Michael H.