Pacemaker translocations and power laws in 2D stem cell-derived cardiomyocyte cultures.
Pacemaker translocations and power laws in 2D stem cell-derived cardiomyocyte cultures.
复制标题
DOI:
10.1371/journal.pone.0263976
复制
发表时间:
2022
期刊:
影响因子:
3.7
通讯作者:
Gimzewski JK
中科院分区:
文献类型:
--
作者:
Dunham CS;Mackenzie ME;Nakano H;Kim AR;Juda MB;Nakano A;Stieg AZ;Gimzewski JK
Power laws are of interest to several scientific disciplines because they can provide important information about the underlying dynamics (e.g. scale invariance and self-similarity) of a given system. Because power laws are of increasing interest to the cardiac sciences as potential indicators of cardiac dysfunction, it is essential that rigorous, standardized analytical methods are employed in the evaluation of power laws. This study compares the methods currently used in the fields of condensed matter physics, geoscience, neuroscience, and cardiology in order to provide a robust analytical framework for evaluating power laws in stem cell-derived cardiomyocyte cultures. One potential power law-obeying phenomenon observed in these cultures is pacemaker translocations, or the spatial and temporal instability of the pacemaker region, in a 2D cell culture. Power law analysis of translocation data was performed using increasingly rigorous methods in order to illustrate how differences in analytical robustness can result in misleading power law interpretations. Non-robust methods concluded that pacemaker translocations adhere to a power law while robust methods convincingly demonstrated that they obey a doubly truncated power law. The results of this study highlight the importance of employing comprehensive methods during power law analysis of cardiomyocyte cultures.
登录
查看更多内容
影响因子:
16.6
作者:
Funakoshi S;Fernandes I;Mastikhina O;Wilkinson D;Tran T;Dhahri W;Mazine A;Yang D;Burnett B;Lee J;Protze S;Bader GD;Nunes SS;Laflamme M;Keller G
通讯作者:
Keller G
DOI:
10.1073/pnas.0307156101
发表时间:
2004-03-30
影响因子:
11.1
作者:
Aon, MA;Cortassa, S;O'Rourke, B
通讯作者:
O'Rourke, B
影响因子:
37.8
作者:
Bigger, JT;Steinman, RC;Cohen, RJ
通讯作者:
Cohen, RJ
影响因子:
2.3
作者:
Deluca, Anna;Corral, Alvaro
通讯作者:
Corral, Alvaro
影响因子:
4.6
作者:
Ribeiro da Silva A;Neri EA;Turaça LT;Dariolli R;Fonseca-Alaniz MH;Santos-Miranda A;Roman-Campos D;Venturini G;Krieger JE
通讯作者:
Krieger JE