Summary of 126-Imanishi-CellMorNuCyM

SSBD:database
SSBD:database URL
Title
Time lapse images and quantitative data of cell morphologic analysis in NuCyM transgenic mouse
Description
-
Relase date
2021-09-30
Updated date
-
License
CC-BY
Kind
Image data based on Experiment
Number of Datasets
46 ( Image datasets: 46, Quantitative data datasets: 0 )
Size of Datasets
69.8 GB ( Image datasets: 69.8 GB, Quantitative data datasets: 0 bytes )

Organism(s)
Mus musculus
Cell lines(s)
MDCK cell

Datatype
-
Molecular Function (MF)
-
Biological Process (BP)
-
Cellular Component (CC)
plasma membrane
Biological Imaging Method
time lapse microscopy, FRET, light-sheet illumination
X scale
0.914592 micrometer/pixel, 0.365868 micrometer/pixel, 0.284 micrometer/pixel, 0.828 micrometer/pixel, 0.397 micrometer/pixel, 0.142 micrometer/pixel, 0.18 micrometer/pixel, 0.132 micrometer/pixel, 0.124 micrometer/pixel, 1.1432 micrometer/pixel, 0.228648 micrometer/pixel, 0.497 micrometer/pixel, 0.116 micrometer/pixel, 0.198 micrometer/pixel, 0.165 micrometer/pixel, 0.11 micrometer/pixel, 0.22 micrometer/pixel
Y scale
0.914592 micrometer/pixel, 0.365868 micrometer/pixel, 0.284 micrometer/pixel, 0.828 micrometer/pixel, 0.397 micrometer/pixel, 0.142 micrometer/pixel, 0.18 micrometer/pixel, 0.132 micrometer/pixel, 0.124 micrometer/pixel, 1.1432 micrometer/pixel, 0.228648 micrometer/pixel, 0.497 micrometer/pixel, 0.116 micrometer/pixel, 0.198 micrometer/pixel, 0.165 micrometer/pixel, 0.11 micrometer/pixel, 0.22 micrometer/pixel
Z scale
1 micrometer/slice, 1.9281 micrometer/slice, 0.581755 micrometer/slice, 1.9280518 micrometer/slice, 2 micrometer/slice
T scale
NA, 1901.48 second for each time interval, 0.01 second for each time interval, 665.1 second for each time interval, 645.68 second for each time interval, 1 second for each time interval

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

Related paper(s)

Ayako Imanishi, Tomokazu Murata, Masaya Sato, Kazuhiro Hotta, Itaru Imayoshi, Michiyuki Matsuda, Kenta Terai (2018) A Novel Morphological Marker for the Analysis of Molecular Activities at the Single-cell Level., Cell structure and function, Volume 43, Number 2, pp. 129-140

Published in 2018 Aug 10 (Electronic publication in June 29, 2018, midnight )

(Abstract) For more than a century, hematoxylin and eosin (H&E) staining has been the de facto standard for histological studies. Consequently, the legacy of histological knowledge is largely based on H&E staining. Due to the recent advent of multi-photon excitation microscopy, the observation of live tissue is increasingly being used in many research fields. Adoption of this technique has been further accelerated by the development of genetically encoded biosensors for ions and signaling molecules. However, H&E-based histology has not yet begun to fully utilize in vivo imaging due to the lack of proper morphological markers. Here, we report a genetically encoded fluorescent marker, NuCyM (Nucleus, Cytosol, and Membrane), which is designed to recapitulate H&E staining patterns in vivo. We generated a transgenic mouse line ubiquitously expressing NuCyM by using a ROSA26 bacterial artificial chromosome (BAC) clone. NuCyM evenly marked the plasma membrane, cytoplasm and nucleus in most tissues, yielding H&E staining-like images. In the NuCyM-expressing cells, cell division of a single cell was clearly observed as five basic phases during M phase by three-dimensional imaging. We next crossed NuCyM mice with transgenic mice expressing an ERK biosensor based on the principle of Forster resonance energy transfer (FRET). Using NuCyM, ERK activity in each cell could be extracted from the FRET images. To further accelerate the image analysis, we employed machine learning-based segmentation methods, and thereby automatically quantitated ERK activity in each cell. In conclusion, NuCyM is a versatile cell morphological marker that enables us to grasp histological information as with H&E staining.Key words: in vivo imaging, histology, machine learning, molecular activity.
(MeSH Terms)

Contact
Kenta Terai , Kyoto University , Graduate School of Biostudies , Laboratory of Bioimaging and Cell Signaling
Contributors


Dataset List of 126-Imanishi-CellMorNuCyM

#
Dataset ID
Kind
Size
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# 5715
Dataset Kind Image data
Dataset Size 89.9 MB
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# 5716
Dataset Kind Image data
Dataset Size 92.0 MB
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SSBD:OMERO
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# 5717
Dataset Kind Image data
Dataset Size 120.2 MB
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SSBD:OMERO
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# 5718
Dataset Kind Image data
Dataset Size 55.6 MB
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SSBD:OMERO
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# 5719
Dataset Kind Image data
Dataset Size 59.7 MB
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SSBD:OMERO
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# 5720
Dataset Kind Image data
Dataset Size 63.7 MB
4D view
SSBD:OMERO
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# 5721
Dataset Kind Image data
Dataset Size 49.6 MB
4D view
SSBD:OMERO
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# 5722
Dataset Kind Image data
Dataset Size 49.6 MB
4D view
SSBD:OMERO
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# 5723
Dataset Kind Image data
Dataset Size 59.7 MB
4D view
SSBD:OMERO
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# 5724
Dataset Kind Image data
Dataset Size 47.6 MB
4D view
SSBD:OMERO
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# 5725
Dataset Kind Image data
Dataset Size 55.6 MB
4D view
SSBD:OMERO
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# 5726
Dataset Kind Image data
Dataset Size 57.6 MB
4D view
SSBD:OMERO
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# 5727
Dataset Kind Image data
Dataset Size 67.7 MB
4D view
SSBD:OMERO
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# 5728
Dataset Kind Image data
Dataset Size 67.7 MB
4D view
SSBD:OMERO
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# 5729
Dataset Kind Image data
Dataset Size 77.8 MB
4D view
SSBD:OMERO
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# 5730
Dataset Kind Image data
Dataset Size 65.7 MB
4D view
SSBD:OMERO
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# 5731
Dataset Kind Image data
Dataset Size 63.7 MB
4D view
SSBD:OMERO
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# 5732
Dataset Kind Image data
Dataset Size 79.9 MB
4D view
SSBD:OMERO
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# 5733
Dataset Kind Image data
Dataset Size 51.6 MB
4D view
SSBD:OMERO
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# 5734
Dataset Kind Image data
Dataset Size 49.6 MB
4D view
SSBD:OMERO
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# 5735
Dataset Kind Image data
Dataset Size 61.7 MB
4D view
SSBD:OMERO
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# 5736
Dataset Kind Image data
Dataset Size 566.7 MB
4D view
SSBD:OMERO
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# 5737
Dataset Kind Image data
Dataset Size 61.7 MB
4D view
SSBD:OMERO
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# 5738
Dataset Kind Image data
Dataset Size 61.7 MB
4D view
SSBD:OMERO
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# 5739
Dataset Kind Image data
Dataset Size 63.7 MB
4D view
SSBD:OMERO
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# 5740
Dataset Kind Image data
Dataset Size 63.7 MB
4D view
SSBD:OMERO
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# 5741
Dataset Kind Image data
Dataset Size 75.8 MB
4D view
SSBD:OMERO
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# 5742
Dataset Kind Image data
Dataset Size 69.8 MB
4D view
SSBD:OMERO
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# 5743
Dataset Kind Image data
Dataset Size 59.7 MB
4D view
SSBD:OMERO
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# 5744
Dataset Kind Image data
Dataset Size 73.8 MB
4D view
SSBD:OMERO
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# 5745
Dataset Kind Image data
Dataset Size 53.6 MB
4D view
SSBD:OMERO
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# 5746
Dataset Kind Image data
Dataset Size 49.6 MB
4D view
SSBD:OMERO
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# 5747
Dataset Kind Image data
Dataset Size 59.7 MB
4D view
SSBD:OMERO
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# 5748
Dataset Kind Image data
Dataset Size 768.8 MB
4D view
SSBD:OMERO
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# 5749
Dataset Kind Image data
Dataset Size 679.4 MB
4D view
SSBD:OMERO
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# 5750
Dataset Kind Image data
Dataset Size 1.4 GB
4D view
SSBD:OMERO
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# 5751
Datast ID Figure3A_intestine
Dataset Kind Image data
Dataset Size 1.0 GB
4D view
SSBD:OMERO
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# 5752
Datast ID Figure3B_heart
Dataset Kind Image data
Dataset Size 1.4 GB
4D view
SSBD:OMERO
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# 5753
Datast ID Figure3B_kidney
Dataset Kind Image data
Dataset Size 34.8 GB
4D view
SSBD:OMERO
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# 5754
Datast ID Figure3B_liver
Dataset Kind Image data
Dataset Size 2.0 GB
4D view
SSBD:OMERO
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# 5755
Datast ID Figure3B_lung
Dataset Kind Image data
Dataset Size 16.3 GB
4D view
SSBD:OMERO
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# 5756
Datast ID Figure3B_muscle
Dataset Kind Image data
Dataset Size 450.1 MB
4D view
SSBD:OMERO
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# 5757
Datast ID Figure3B_pancreas
Dataset Kind Image data
Dataset Size 738.4 MB
4D view
SSBD:OMERO
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# 5758
Datast ID Figure3C_brain
Dataset Kind Image data
Dataset Size 6.8 GB
4D view
SSBD:OMERO
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# 5759
Dataset Kind Image data
Dataset Size 733.2 MB
4D view
SSBD:OMERO
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# 5760
Datast ID FigureS3B_liver
Dataset Kind Image data
Dataset Size 230.0 MB
4D view
SSBD:OMERO
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