scholarly journals Live-cell Imaging and Quantitative Analysis of Embryonic Epithelial Cells in Xenopus laevis

Author(s):  
Sagar D. Joshi ◽  
Lance A. Davidson
BIO-PROTOCOL ◽  
2020 ◽  
Vol 10 (20) ◽  
Author(s):  
Gunar Fabig ◽  
Falko Löffler ◽  
Christian Götze ◽  
Thomas Müller-Reichert

2016 ◽  
Vol 12 (11) ◽  
pp. e1005177 ◽  
Author(s):  
David A. Van Valen ◽  
Takamasa Kudo ◽  
Keara M. Lane ◽  
Derek N. Macklin ◽  
Nicolas T. Quach ◽  
...  

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Lorena Sigaut ◽  
Catalina von Bilderling ◽  
Micaela Bianchi ◽  
Juan Eduardo Burdisso ◽  
Laura Gastaldi ◽  
...  

2012 ◽  
Vol 26 (S1) ◽  
Author(s):  
Arnold Sipos ◽  
Farnoosh Fazlollahi ◽  
Yong Ho Kim ◽  
Robert H. Chow ◽  
Zea Borok ◽  
...  

2021 ◽  
Author(s):  
Jeremy Copperman ◽  
Sean M Gross ◽  
Young Hwan Chang ◽  
Laura M Heiser ◽  
Daniel M Zuckerman

Time-lapse imaging provides powerful insight into the dynamical response of cells to perturbation, but the quantitative analysis of morphological changes over time is a challenge. Here, we exploit the concept of "morphodynamical trajectories" to analyze cellular behavior using morphological feature trajectory histories, rather than the common practice of examining morphological feature time courses in the space of single-timepoint (snapshot) morphological features. Our morphodynamical trajectory embedding analysis yielded quantitative and descriptive models of future time points based on the extended history information of MCF10A mammary epithelial cells treated with a panel of ligands. The trajectory analysis constructs a shared morphodynamical cell-state landscape, where the response of MCF10A cells induced by various extracellular signals is characterized by ligand-specific regulation of state transitions. Additionally, we show that including trajectories in single-cell morphological analysis enables (i) systematic characterization of cell state trajectories, and (ii) better separation of phenotypes and more descriptive models of ligand-induced differences as compared to snapshot-based analysis. This morphodynamical trajectory embedding is broadly applicable for the quantitative analysis of cell responses via live-cell imaging across many biological and biomedical applications.


2006 ◽  
Vol 172 (7) ◽  
pp. 1035-1044 ◽  
Author(s):  
Wei Hua ◽  
David Sheff ◽  
Derek Toomre ◽  
Ira Mellman

Although epithelial cells are known to exhibit a polarized distribution of membrane components, the pathways responsible for delivering membrane proteins to their appropriate domains remain unclear. Using an optimized approach to three-dimensional live cell imaging, we have visualized the transport of newly synthesized apical and basolateral membrane proteins in fully polarized filter-grown Madin–Darby canine kidney cells. We performed a detailed quantitative kinetic analysis of trans-Golgi network (TGN) exit, passage through transport intermediates, and arrival at the plasma membrane using cyan/yellow fluorescent protein–tagged glycosylphosphatidylinositol-anchored protein and vesicular stomatitis virus glycoprotein as apical and basolateral reporters, respectively. For both pathways, exit from the TGN was rate limiting. Furthermore, apical and basolateral proteins were targeted directly to their respective membranes, resolving current confusion as to whether sorting occurs on the secretory pathway or only after endocytosis. However, a transcytotic protein did reach the apical surface after a prior appearance basolaterally. Finally, newly synthesized proteins appeared to be delivered to the entire lateral or apical surface, suggesting—contrary to expectations—that there is not a restricted site for vesicle docking or fusion adjacent to the junctional complex.


BIOPHYSICS ◽  
2014 ◽  
Vol 59 (1) ◽  
pp. 91-97 ◽  
Author(s):  
A. Kh. Timoshenko ◽  
A. V. Shevelkin ◽  
V. P. Nikitin ◽  
V. V. Sherstnev

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