Spatial and temporal dynamics of RhoA activities of single breast tumor cells in a 3D environment revealed by a machine learning-assisted FRET technique.
Spatial and temporal dynamics of RhoA activities of single breast tumor cells in a 3D environment revealed by a machine learning-assisted FRET technique.
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DOI:
10.1016/j.yexcr.2021.112939
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发表时间:
2022-01-15
影响因子:
3.7
通讯作者:
Wu M
中科院分区:
文献类型:
--
作者:
Cheung BCH;Hodgson L;Segall JE;Wu M
One of the hallmarks of cancer cells is their exceptional ability to migrate within the extracellular matrix (ECM) for gaining access to the circulatory system, a critical step of cancer metastasis. RhoA, a small GTPase, is known to be a key molecular switch that toggles between actomyosin contractility and lamellipodial protrusion during cell migration. Current understanding of RhoA activity in cell migration has been largely derived from studies of cells plated on a two-dimensional (2D) substrate using a FRET biosensor. There has been increasing evidence that cells behave differently in a more physiologically relevant three-dimensional (3D) environment. However, studies of RhoA activities in 3D have been hindered by low signal-to-noise ratio in fluorescence imaging. In this paper, we present a FRET technique in conjunction with a machine learning-assisted cell segmentation method to follow the spatiotemporal dynamics of RhoA activities of single breast tumor cells (MDA-MB-231) migrating in a 3D as well as a 2D environment using a RhoA biosensor. We found that RhoA activity is more polarized along the long axis of the cell for single cells migrating on 2D fibronectin-coated glass versus those embedded in 3D collagen matrices. In particular, RhoA activities of cells in 2D exhibit a distinct front-to-back and back-to-front movement during migration in contrast to those in 3D. Finally, regardless of dimensionality, RhoA polarization is found to be moderately correlated with cell shape.
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影响因子:
3.4
作者:
Costigliola, Nancy;Kapustina, Maryna T.;Jacobson, Ken
通讯作者:
Jacobson, Ken
影响因子:
3.7
作者:
Hall, Matthew S.;Long, Rong;Feng, Xinzeng;Huang, Yuling;Hui, Chung-Yuen;Wu, Mingming
通讯作者:
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影响因子:
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DOI:
10.1007/978-1-4939-8612-5_6
发表时间:
2018-01-01
期刊:
RHO GTPASES: METHODS AND PROTOCOLS, 2ND EDITION
影响因子:
--
作者:
Bell, George R. R.;Natwick, Dean E.;Collins, Sean R.
通讯作者:
Collins, Sean R.
影响因子:
14.8
作者:
Hodgson L;Spiering D;Sabouri-Ghomi M;Dagliyan O;DerMardirossian C;Danuser G;Hahn KM
通讯作者:
Hahn KM