John H. Abel;Lukas A. Widmer;Peter C. St. John;Jörg Stelling;Francis J. Doyle
{"title":"一个耦合的随机模型解释了哭击行为的差异","authors":"John H. Abel;Lukas A. Widmer;Peter C. St. John;Jörg Stelling;Francis J. Doyle","doi":"10.1109/LLS.2015.2439498","DOIUrl":null,"url":null,"abstract":"In the mammalian suprachiasmatic nucleus (SCN), a population of noisy cell-autonomous oscillators synchronizes to generate robust circadian rhythms at the organism level. Within these cells, two isoforms of Cryptochrome, \n<italic>Cry1</i>\n and \n<italic>Cry2</i>\n, participate in a negative feedback loop driving oscillation. Previous work has shown that single, dissociated SCN neurons respond differently to \n<italic>Cry1</i>\n and \n<italic>Cry2</i>\n knockouts. These differences have led to speculation that CRY1 and CRY2 may play different functional roles in the oscillator. To address this proposition, we have developed a new coupled, stochastic model focused on the \n<italic>Period</i>\n (\n<italic>Per</i>\n) and \n<italic>Cry</i>\n feedback loop, and incorporating intercellular coupling via vasoactive intestinal peptide. We show that single dissociated \n<italic>Cry1</i>\n knockouts display partially rhythmic behavior. Additionally, intrinsic molecular noise and differences in relative abundance, rather than differing functions, are sufficient to explain the range of rhythmicity encountered in \n<italic>Cry</i>\n knockouts in the SCN. The results further highlight the essential role of stochastic behavior in understanding and accurately modeling the circadian network.","PeriodicalId":87271,"journal":{"name":"IEEE life sciences letters","volume":"1 1","pages":"3-6"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/LLS.2015.2439498","citationCount":"7","resultStr":"{\"title\":\"A Coupled Stochastic Model Explains Differences in Cry Knockout Behavior\",\"authors\":\"John H. Abel;Lukas A. Widmer;Peter C. St. John;Jörg Stelling;Francis J. Doyle\",\"doi\":\"10.1109/LLS.2015.2439498\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the mammalian suprachiasmatic nucleus (SCN), a population of noisy cell-autonomous oscillators synchronizes to generate robust circadian rhythms at the organism level. Within these cells, two isoforms of Cryptochrome, \\n<italic>Cry1</i>\\n and \\n<italic>Cry2</i>\\n, participate in a negative feedback loop driving oscillation. Previous work has shown that single, dissociated SCN neurons respond differently to \\n<italic>Cry1</i>\\n and \\n<italic>Cry2</i>\\n knockouts. These differences have led to speculation that CRY1 and CRY2 may play different functional roles in the oscillator. To address this proposition, we have developed a new coupled, stochastic model focused on the \\n<italic>Period</i>\\n (\\n<italic>Per</i>\\n) and \\n<italic>Cry</i>\\n feedback loop, and incorporating intercellular coupling via vasoactive intestinal peptide. We show that single dissociated \\n<italic>Cry1</i>\\n knockouts display partially rhythmic behavior. Additionally, intrinsic molecular noise and differences in relative abundance, rather than differing functions, are sufficient to explain the range of rhythmicity encountered in \\n<italic>Cry</i>\\n knockouts in the SCN. The results further highlight the essential role of stochastic behavior in understanding and accurately modeling the circadian network.\",\"PeriodicalId\":87271,\"journal\":{\"name\":\"IEEE life sciences letters\",\"volume\":\"1 1\",\"pages\":\"3-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1109/LLS.2015.2439498\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE life sciences letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/7117792/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE life sciences letters","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/7117792/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Coupled Stochastic Model Explains Differences in Cry Knockout Behavior
In the mammalian suprachiasmatic nucleus (SCN), a population of noisy cell-autonomous oscillators synchronizes to generate robust circadian rhythms at the organism level. Within these cells, two isoforms of Cryptochrome,
Cry1
and
Cry2
, participate in a negative feedback loop driving oscillation. Previous work has shown that single, dissociated SCN neurons respond differently to
Cry1
and
Cry2
knockouts. These differences have led to speculation that CRY1 and CRY2 may play different functional roles in the oscillator. To address this proposition, we have developed a new coupled, stochastic model focused on the
Period
(
Per
) and
Cry
feedback loop, and incorporating intercellular coupling via vasoactive intestinal peptide. We show that single dissociated
Cry1
knockouts display partially rhythmic behavior. Additionally, intrinsic molecular noise and differences in relative abundance, rather than differing functions, are sufficient to explain the range of rhythmicity encountered in
Cry
knockouts in the SCN. The results further highlight the essential role of stochastic behavior in understanding and accurately modeling the circadian network.