Visualizing the appearance and disappearance of the attractor of differentiation using Raman spectral imaging.
Visualizing the appearance and disappearance of the attractor of differentiation using Raman spectral imaging.
复制标题
使用拉曼光谱成像可视化分化吸引子的外观和消失。
DOI:
10.1038/srep11358
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发表时间:
2015-06-16
影响因子:
4.6
通讯作者:
Fujita H
中科院分区:
文献类型:
--
作者:
Ichimura T;Chiu LD;Fujita K;Machiyama H;Kawata S;Watanabe TM;Fujita H
Using Raman spectral imaging, we visualized the cell state transition during differentiation and constructed hypothetical potential landscapes for attractors of cellular states on a state space composed of parameters related to the shape of the Raman spectra. As models of differentiation, we used the myogenic C2C12 cell line and mouse embryonic stem cells. Raman spectral imaging can validate the amounts and locations of multiple cellular components that describe the cell state such as proteins, nucleic acids, and lipids; thus, it can report the state of a single cell. Herein, we visualized the cell state transition during differentiation using Raman spectral imaging of cell nuclei in combination with principal component analysis. During differentiation, cell populations with a seemingly homogeneous cell state before differentiation showed heterogeneity at the early stage of differentiation. At later differentiation stages, the cells returned to a homogeneous cell state that was different from the undifferentiated state. Thus, Raman spectral imaging enables us to illustrate the disappearance and reappearance of an attractor in a differentiation landscape, where cells stochastically fluctuate between states at the early stage of differentiation.
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影响因子:
--
作者:
Bhattacharya S;Zhang Q;Andersen ME
通讯作者:
Andersen ME
影响因子:
14.9
作者:
Calvanese V;Fernández AF;Urdinguio RG;Suárez-Alvarez B;Mangas C;Pérez-García V;Bueno C;Montes R;Ramos-Mejía V;Martínez-Camblor P;Ferrero C;Assenov Y;Bock C;Menendez P;Carrera AC;Lopez-Larrea C;Fraga MF
通讯作者:
Fraga MF
影响因子:
3.9
作者:
Wray, Jason;Kalkan, Tuzer;Smith, Austin G.
通讯作者:
Smith, Austin G.
影响因子:
3.4
作者:
Wang, Jin;Xu, Li;Huang, Sui
通讯作者:
Huang, Sui
影响因子:
48
作者:
Cloonan, Nicole;Forrest, Alistair R. R.;Grimmond, Sean M.
通讯作者:
Grimmond, Sean M.