A novel mathematical method for disclosing oscillations in gene transcription: A comparative study.
A novel mathematical method for disclosing oscillations in gene transcription: A comparative study.
复制标题
DOI:
10.1371/journal.pone.0198503
复制
发表时间:
2018
期刊:
影响因子:
3.7
通讯作者:
Dacso CC
中科院分区:
文献类型:
--
作者:
Antoulas AC;Zhu B;Zhang Q;York B;O'Malley BW;Dacso CC
Circadian rhythmicity, the 24-hour cycle responsive to light and dark, is determined by periodic oscillations in gene transcription. This phenomenon has broad ramifications in physiologic function. Recent work has disclosed more cycles in gene transcription, and to the uncovering of these we apply a novel signal processing methodology known as the pencil method and compare it to conventional parametric, nonparametric, and statistical methods. Methods: In order to assess periodicity of gene expression over time, we analyzed a database derived from livers of mice entrained to a 12-hour light/12-hour dark cycle. We also analyzed artificially generated signals to identify differences between the pencil decomposition and other alternative methods. Results: The pencil decomposition revealed hitherto-unsuspected oscillations in gene transcription with 12-hour periodicity. The pencil method was robust in detecting the 24-hour circadian cycle that was known to exist, as well as confirming the existence of shorter-period oscillations. A key consequence of this approach is that orthogonality of the different oscillatory components can be demonstrated. thus indicating a biological independence of these oscillations, that has been subsequently confirmed empirically by knocking out the gene responsible for the 24-hour clock. Conclusion: System identification techniques can be applied to biological systems and can uncover important characteristics that may elude visual inspection of the data. Significance: The pencil method provides new insights on the essence of gene expression and discloses a wide variety of oscillations in addition to the well-studied circadian pattern. This insight opens the door to the study of novel mechanisms by which oscillatory gene expression signals exert their regulatory effect on cells to influence human diseases.
登录
查看更多内容
影响因子:
29
作者:
Zhu B;Zhang Q;Pan Y;Mace EM;York B;Antoulas AC;Dacso CC;O'Malley BW
通讯作者:
O'Malley BW
影响因子:
3.5
作者:
Hughes ME;Hogenesch JB;Kornacker K
通讯作者:
Kornacker K
影响因子:
--
作者:
Leise TL
通讯作者:
Leise TL
DOI:
10.1049/pbce076e_ch9
发表时间:
2012-01-01
期刊:
DEVELOPMENTS IN CONTROL THEORY TOWARDS GLOCAL CONTROL
影响因子:
--
作者:
Ionita, A. Cosmin;Antoulas, Athanasios C.
通讯作者:
Antoulas, Athanasios C.
影响因子:
4.5
作者:
Hughes ME;DiTacchio L;Hayes KR;Vollmers C;Pulivarthy S;Baggs JE;Panda S;Hogenesch JB
通讯作者:
Hogenesch JB