scholarly journals 2PS044 Live cell imaging of the growth factor-induced nuclear translocation of ERK in PC12 cells(The 50th Annual Meeting of the Biophysical Society of Japan)

2012 ◽  
Vol 52 (supplement) ◽  
pp. S117
Author(s):  
Yuki Shindo ◽  
Kazunari Mouri ◽  
Kayo Hibino ◽  
Masaru Tomita ◽  
Yasushi Sako ◽  
...  
2012 ◽  
Vol 52 (supplement) ◽  
pp. S117
Author(s):  
Atsuko H. Iwane ◽  
Ruriko Ogawa ◽  
Rina Nagai ◽  
Akihiro Kawamoto ◽  
Kazuhiro Aoyama

2016 ◽  
Vol 1863 (7) ◽  
pp. 1552-1558 ◽  
Author(s):  
David Koschut ◽  
Ludovic Richert ◽  
Giuseppina Pace ◽  
Hartmut H. Niemann ◽  
Yves Mély ◽  
...  

2007 ◽  
Vol 85 (12) ◽  
pp. 2640-2647 ◽  
Author(s):  
Kenneth R. Myers ◽  
Kevin W.-H. Lo ◽  
R. John Lye ◽  
John M. Kogoy ◽  
Violetta Soura ◽  
...  

2019 ◽  
Vol 11 (4) ◽  
pp. 142-153 ◽  
Author(s):  
Ramesh Ramji ◽  
Amanda F Alexander ◽  
Andrés R Muñoz-Rojas ◽  
Laura N Kellman ◽  
Kathryn Miller-Jensen

Abstract Innate immune cells, including macrophages and dendritic cells, protect the host from pathogenic assaults in part through secretion of a program of cytokines and chemokines (C/Cs). Cell-to-cell variability in C/C secretion appears to contribute to the regulation of the immune response, but the sources of secretion variability are largely unknown. To begin to track the biological sources that control secretion variability, we developed and validated a microfluidic device to integrate live-cell imaging of fluorescent reporter proteins with a single-cell assay of protein secretion. We used this device to image NF-κB RelA nuclear translocation dynamics and Tnf transcription dynamics in macrophages in response to stimulation with the bacterial component lipopolysaccharide (LPS), followed by quantification of secretion of TNF, CCL2, CCL3, and CCL5. We found that the timing of the initial peak of RelA signaling in part determined the relative level of TNF and CCL3 secretion, but not CCL2 and CCL5 secretion. Our results support evidence that differences in timing across cell processes partly account for cell-to-cell variability in downstream responses, but that other factors introduce variability at each biological step.


2011 ◽  
Vol 71 ◽  
pp. e213
Author(s):  
Takashi Tsuboi ◽  
Yasunori Mori ◽  
Hideki Matsui ◽  
Ryo Aoki ◽  
Manami Oya ◽  
...  

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Soojung Lee ◽  
Jonathan Chang ◽  
Sung-Min Kang ◽  
Eric Parigoris ◽  
Ji-Hoon Lee ◽  
...  

AbstractThis manuscript describes a new method for forming basal-in MCF10A organoids using commercial 384-well ultra-low attachment (ULA) microplates and the development of associated live-cell imaging and automated analysis protocols. The use of a commercial 384-well ULA platform makes this method more broadly accessible than previously reported hanging drop systems and enables in-incubator automated imaging. Therefore, time points can be captured on a more frequent basis to improve tracking of early organoid formation and growth. However, one major challenge of live-cell imaging in multi-well plates is the rapid accumulation of large numbers of images. In this paper, an automated MATLAB script to handle the increased image load is developed. This analysis protocol utilizes morphological image processing to identify cellular structures within each image and quantify their circularity and size. Using this script, time-lapse images of aggregating and non-aggregating culture conditions are analyzed to profile early changes in size and circularity. Moreover, this high-throughput platform is applied to widely screen concentration combinations of Matrigel and epidermal growth factor (EGF) or heparin-binding EGF-like growth factor (HB-EGF) for their impact on organoid formation. These results can serve as a practical resource, guiding future research with basal-in MCF10A organoids.


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