Summary of 306-Kamei-microglia

SSBD:database
SSBD:database URL
Title
In vivo imaging of the phagocytic dynamics underlying efficient clearance of adult-born hippocampal granule cells by ramified microglia
Description
-
Relase date
2024-12-14
Updated date
-
License
CC BY
Kind
Image data based on Experiment
Number of Datasets
20 ( Image datasets: 20, Quantitative data datasets: 0 )
Size of Datasets
70.0 GB ( Image datasets: 70.0 GB, Quantitative data datasets: 0 bytes )

Organism(s)
Mus musculus
Strain(s)
CX3CR1^{+/GFP}, Nes-CreER^{T2+/-}, Rosa-CAG-LSL- tdTomato^{+/-}

Datatype
-
Molecular Function (MF)
Biological Process (BP)
phagocytosis, engulfment
Cellular Component (CC)
Biological Imaging Method
two-photon laser scanning microscopy, time lapse microscopy
X scale
0.499 micrometer/pixel, 0.249 micrometer/pixel
Y scale
0.499 micrometer/pixel, 0.249 micrometer/pixel
Z scale
1.0 micrometer/slice, 1.5 micrometer/slice
T scale
267 second per time interval, 600 second per time interval, 215 second per time interval, 265 second per time interval, 272 second per time interval

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

Related paper(s)

Ryosuke Kamei, Shigeo Okabe (2023) In vivo imaging of the phagocytic dynamics underlying efficient clearance of adult-born hippocampal granule cells by ramified microglia., Glia

Published in 2023 Apr 27 (Electronic publication in April 27, 2023, midnight )

(Abstract) The phagocytosis of dead cells by microglia is essential in brain development and homeostasis. However, the mechanism underlying the efficient removal of cell corpses by ramified microglia remains poorly understood. Here, we investigated the phagocytosis of dead cells by ramified microglia in the hippocampal dentate gyrus, where adult neurogenesis and homeostatic cell clearance occur. Two-color imaging of microglia and apoptotic newborn neurons revealed two important characteristics. Firstly, frequent environmental surveillance and rapid engulfment reduced the time required for dead cell clearance. The motile microglial processes frequently contacted and enwrapped apoptotic neurons at the protrusion tips and completely digested them within 3-6 h of the initial contact. Secondly, while a single microglial process engaged in phagocytosis, the remaining processes continued environmental surveillance and initiated the removal of other dead cells. The simultaneous removal of multiple dead cells increases the clearance capacity of a single microglial cell. These two characteristics of ramified microglia contributed to their phagocytic speed and capacity, respectively. Consistently, the cell clearance rate was estimated to be 8-20 dead cells/microglia/day, supporting the efficiency of removing apoptotic newborn neurons. We concluded that ramified microglia specialize in utilizing individual motile processes to detect stochastic cell death events and execute parallel phagocytoses.

Contact
Shigeo Okabe , University of Tokyo , Department of Cellular Neurobiology, Graduate School of Medicine , Department of Cellular Neurobiology, Graduate School of Medicine
Contributors
Ryosuke Kamei


Dataset List of 306-Kamei-microglia

#
Dataset ID
Kind
Size
4D View
SSBD:OMERO
Download BDML
Download Images
# 11918
Dataset Kind Image data
Dataset Size 6.7 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11919
Datast ID Fig3C_engulf
Dataset Kind Image data
Dataset Size 1.5 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11920
Datast ID Fig4A_digest_1
Dataset Kind Image data
Dataset Size 6.7 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11921
Datast ID Fig4A_digest_2
Dataset Kind Image data
Dataset Size 3.8 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11922
Datast ID Fig4A_digest_3
Dataset Kind Image data
Dataset Size 532.8 MB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11923
Datast ID Fig4A_digest_4
Dataset Kind Image data
Dataset Size 6.0 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11924
Datast ID Fig4A_digest_5
Dataset Kind Image data
Dataset Size 6.7 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11925
Datast ID Fig4A_digest_6
Dataset Kind Image data
Dataset Size 1.4 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11926
Datast ID Fig4A_digest_7
Dataset Kind Image data
Dataset Size 1.3 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11927
Datast ID Fig4A_digest_8
Dataset Kind Image data
Dataset Size 3.7 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11928
Datast ID Fig4A_digest_9
Dataset Kind Image data
Dataset Size 3.7 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11929
Datast ID Fig4A_digest_10
Dataset Kind Image data
Dataset Size 750.5 MB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11930
Datast ID Fig4A_digest_11
Dataset Kind Image data
Dataset Size 1.2 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11931
Datast ID Fig4A_digest_12
Dataset Kind Image data
Dataset Size 312.6 MB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11932
Datast ID Fig5A_retruct_1
Dataset Kind Image data
Dataset Size 6.7 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11933
Datast ID Fig5A_retruct_2
Dataset Kind Image data
Dataset Size 6.7 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11934
Datast ID Fig5A_retruct_3
Dataset Kind Image data
Dataset Size 3.7 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11935
Datast ID Fig5A_retruct_4
Dataset Kind Image data
Dataset Size 750.5 MB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11936
Datast ID Fig5A_retruct_5
Dataset Kind Image data
Dataset Size 1.2 GB
4D view
SSBD:OMERO
Download BDML
Download Image data

# 11937
Datast ID Fig5G_Video2_multi
Dataset Kind Image data
Dataset Size 6.7 GB
4D view
SSBD:OMERO
Download BDML
Download Image data