Summary of 142-Wen-CellShape

SSBD:database
SSBD:database URL
Title
Image data and quantitative data of cell shape changes in the early stage of Drosophila ventral furrow formation
Description
-
Relase date
2020-12-23
Updated date
-
License
CC BY
Kind
Quantitative data, Image data based on Experiment
Number of Datasets
8 ( Image datasets: 4, Quantitative data datasets: 4 )
Size of Datasets
5.5 GB ( Image datasets: 5.5 GB, Quantitative data datasets: 126.1 KB )

Organism(s)
Drosophila

Datatype
-
Molecular Function (MF)
Biological Process (BP)
mesodermal cell migration, ventral furrow formation
Cellular Component (CC)
-
Biological Imaging Method
two-photon laser scanning microscopy, time lapse microscopy
X scale
0.0138889 centimeter/pixel
Y scale
0.0138889 centimeter/pixel
Z scale
1 centimeter/slice
T scale
10 sec per time interval

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

Related paper(s)

Fu-Lai Wen, Yu-Chiun Wang, Tatsuo Shibata (2017) Epithelial Folding Driven by Apical or Basal-Lateral Modulation: Geometric Features, Mechanical Inference, and Boundary Effects., Biophysical journal, Volume 112, Number 12, pp. 2683-2695

Published in 2017 Jun 20

(Abstract) During embryonic development, epithelial sheets fold into complex structures required for tissue and organ functions. Although substantial efforts have been devoted to identifying molecular mechanisms underlying epithelial folding, far less is understood about how forces deform individual cells to sculpt the overall sheet morphology. Here we describe a simple and general theoretical model for the autonomous folding of monolayered epithelial sheets. We show that active modulation of intracellular mechanics along the basal-lateral as well as the apical surfaces is capable of inducing fold formation in the absence of buckling instability. Apical modulation sculpts epithelia into shallow and V-shaped folds, whereas basal-lateral modulation generates deep and U-shaped folds. These characteristic tissue shapes remain unchanged when subject to mechanical perturbations from the surroundings, illustrating that the autonomous folding is robust against environmental variabilities. At the cellular scale, how cells change shape depends on their initial aspect ratios and the modulation mechanisms. Such cell deformation characteristics are verified via experimental measurements for a canonical folding process driven by apical modulation, indicating that our theory could be used to infer the underlying folding mechanisms based on experimental data. The mechanical principles revealed in our model could potentially guide future studies on epithelial folding in diverse systems.
(MeSH Terms)

Contact
Tatsuo Shibata, Fu-Lai Wen , RIKEN, RIKEN , Center for Biosystems Dynamics Research, Center for Biosystems Dynamics Research , Laboratory for Physical Biology, Laboratory for Physical Biology
Contributors
NA


Dataset List of 142-Wen-CellShape

#
Dataset ID
Kind
Size
4D View
SSBD:OMERO
Download BDML
Download Images
# 5009
Dataset Kind Image data
Dataset Size 1.2 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 5010
Dataset Kind Image data
Dataset Size 2.2 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 5011
Dataset Kind Image data
Dataset Size 1.2 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 5012
Dataset Kind Image data
Dataset Size 960.4 MB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 10714
Dataset Kind Quantitative data
Dataset Size 28.9 KB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 10715
Dataset Kind Quantitative data
Dataset Size 28.9 KB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 10716
Dataset Kind Quantitative data
Dataset Size 39.2 KB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 10717
Dataset Kind Quantitative data
Dataset Size 28.9 KB
4D view
SSBD:OMERO
Download BDML
Download Image data