TY - GEN
T1 - Spatiotemporal visualization of cell membrane dynamics and protein colocalization reveals correlation between membrane dynamics and metastatic invasion
AU - Hou, Yue
AU - Cooper, Lee
AU - Wilkinson, Scott
AU - Marcus, Adam
AU - Brat, Daniel
N1 - Funding Information:
This work was supported with funds from the National Cancer Institute U24 Informatics Technology for Cancer Research (1U24CA194362-01), National Library of Medicine (5K22LM011576-02) and U24 Grant (CA180924-01). We thank Dr. Matthias Machacek, et al. for providing us the PANDA algorithms to quantify cell membrane dynamics. We thank Dr. Jing Yuan, et al. for providing us the 3D graph cuts algorithms to segment our time-lapse images
PY - 2015/9/9
Y1 - 2015/9/9
N2 - Invasive migration is an important cellular behavior that drives cancer metastasis, which increases the difficulty in treatment and results in poor clinical outcomes. Metastasis is comprised of a series of dynamic processes including cancer cell migration, spreading through circulation system and invasion into distant organs. However, visualization of these underlying steps of metastasis is lack. Although spatiotemporal measurements of cell motion dynamics have been well studied to identify difierent dynamic patterns, little work has been done to visualize how these dynamic patterns occur on migrating cells. Therefore, we develop spatiotemporal visualization tools to broaden the application of the existing dynamical cell analysis. For instance, we propose visualization techniques to classify the cell edge velocities into three states: protrusion, quiescence and retraction and then visualize when and where these three states of membrane dynamics happen on videos of migrating cells. We also create a semi-automatic tool to allow the users to select the ROIs from the correlation map and then plot the ROIs back onto the original cell migration video. These visualization tools help the biologists to better understand the abstract velocity heat maps in a user friendly way. Biologists can also take the advantage of selecting any ROI through these tools, which enables them to easily observe important migration regions. Furthermore, we investigate the correlation between cell membrane dynamics and subcellular proteins colocalization in a cancer model system and discovered a tight coupling between active membrane dynamics and periodic protein colocalizaiton. This active membrane and periodic colocalization pattern correlates with slower and less persistent migration in 3D collagen matrix.
AB - Invasive migration is an important cellular behavior that drives cancer metastasis, which increases the difficulty in treatment and results in poor clinical outcomes. Metastasis is comprised of a series of dynamic processes including cancer cell migration, spreading through circulation system and invasion into distant organs. However, visualization of these underlying steps of metastasis is lack. Although spatiotemporal measurements of cell motion dynamics have been well studied to identify difierent dynamic patterns, little work has been done to visualize how these dynamic patterns occur on migrating cells. Therefore, we develop spatiotemporal visualization tools to broaden the application of the existing dynamical cell analysis. For instance, we propose visualization techniques to classify the cell edge velocities into three states: protrusion, quiescence and retraction and then visualize when and where these three states of membrane dynamics happen on videos of migrating cells. We also create a semi-automatic tool to allow the users to select the ROIs from the correlation map and then plot the ROIs back onto the original cell migration video. These visualization tools help the biologists to better understand the abstract velocity heat maps in a user friendly way. Biologists can also take the advantage of selecting any ROI through these tools, which enables them to easily observe important migration regions. Furthermore, we investigate the correlation between cell membrane dynamics and subcellular proteins colocalization in a cancer model system and discovered a tight coupling between active membrane dynamics and periodic protein colocalizaiton. This active membrane and periodic colocalization pattern correlates with slower and less persistent migration in 3D collagen matrix.
KW - Cancer metastasis
KW - Cell migration
KW - CellMembrane dynamics
KW - Colocalization
KW - Spatiotemporal visualization
UR - http://www.scopus.com/inward/record.url?scp=84963570052&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84963570052&partnerID=8YFLogxK
U2 - 10.1145/2808719.2811415
DO - 10.1145/2808719.2811415
M3 - Conference contribution
AN - SCOPUS:84963570052
T3 - BCB 2015 - 6th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
SP - 476
EP - 477
BT - BCB 2015 - 6th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
PB - Association for Computing Machinery, Inc
T2 - 6th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2015
Y2 - 9 September 2015 through 12 September 2015
ER -