Summary of 166-Takubo-ECsTrajectory

SSBD:database
SSBD:database URL
Title
Time-lapse images and BDML file for quantiative information about tracking of Vascular endothelial cells (ECs) nuclei in branches.
Description
-
Relase date
2021-09-30
Updated date
-
License
CC BY
Kind
Quantitative data, Image data based on Experiment
Number of Datasets
9 ( Image datasets: 5, Quantitative data datasets: 4 )
Size of Datasets
5.2 GB ( Image datasets: 5.2 GB, Quantitative data datasets: 5.4 MB )

Organism(s)
Mus musculus
Cell lines(s)
endothelial cell
Gene symbol(s)
NA
Protein name(s)
NA

Datatype
-
Molecular Function (MF)
-
Biological Process (BP)
endothelial cell morphogenesis
Cellular Component (CC)
nucleus
Biological Imaging Method
time lapse microscopy
X scale
0.83 micrometer/pixel, 1.25 micrometer/pixel
Y scale
0.83 micrometer/pixel, 1.25 micrometer/pixel
Z scale
-
T scale
3 minutes per time interval, 5 minutes per time interval

Image Acquisition
Experiment type
-
Microscope type
-
Acquisition mode
-
Contrast method
-
Microscope model
-
Detector model
-
Objective model
-
Filter set
-

Related paper(s)

Naoko Takubo, Fumitaka Yura, Kazuaki Naemura, Ryo Yoshida, Terumasa Tokunaga, Tetsuji Tokihiro, Hiroki Kurihara (2019) Cohesive and anisotropic vascular endothelial cell motility driving angiogenic morphogenesis., Scientific reports, Volume 9, Number 1, pp. 9304

Published in 2019 Jun 26 (Electronic publication in June 26, 2019, midnight )

(Abstract) Vascular endothelial cells (ECs) in angiogenesis exhibit inhomogeneous collective migration called "cell mixing", in which cells change their relative positions by overtaking each other. However, how such complex EC dynamics lead to the formation of highly ordered branching structures remains largely unknown. To uncover hidden laws of integration driving angiogenic morphogenesis, we analyzed EC behaviors in an in vitro angiogenic sprouting assay using mouse aortic explants in combination with mathematical modeling. Time-lapse imaging of sprouts extended from EC sheets around tissue explants showed directional cohesive EC movements with frequent U-turns, which often coupled with tip cell overtaking. Imaging of isolated branches deprived of basal cell sheets revealed a requirement of a constant supply of immigrating cells for ECs to branch forward. Anisotropic attractive forces between neighboring cells passing each other were likely to underlie these EC motility patterns, as evidenced by an experimentally validated mathematical model. These results suggest that cohesive movements with anisotropic cell-to-cell interactions characterize the EC motility, which may drive branch elongation depending on a constant cell supply. The present findings provide novel insights into a cell motility-based understanding of angiogenic morphogenesis.
(MeSH Terms)

Contact
Naoko Takubo, Hiroki Kurihara , The University of Tokyo, The University of Tokyo , Present address: Isotope Science Center, Department of Molecular Cell Biology, Graduate School of Medicine
Contributors
Naoko Takubo, Hiroki Kurihara, Ryo Yoshida, Terumasa Tokunaga


Dataset List of 166-Takubo-ECsTrajectory

#
Dataset ID
Kind
Size
4D View
SSBD:OMERO
Download BDML
Download Images
# 5034
Dataset Kind Image data
Dataset Size 1.5 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 5035
Datast ID Fig2c_ECs_U-turn
Dataset Kind Image data
Dataset Size 1.3 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 5036
Dataset Kind Image data
Dataset Size 1.4 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 5037
Dataset Kind Image data
Dataset Size 657.2 MB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 5038
Dataset Kind Image data
Dataset Size 432.1 MB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 6830
Dataset Kind Quantitative data
Dataset Size 995.5 KB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 6831
Dataset Kind Quantitative data
Dataset Size 1.9 MB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 6832
Dataset Kind Quantitative data
Dataset Size 1.9 MB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 6833
Dataset Kind Quantitative data
Dataset Size 678.8 KB
4D view
SSBD:OMERO
Download BDML
Download Image data