Detail of 20220621_STAR_Protocol_Figure6



Project
Title
Living-cell imaging of HeLa cells transfected with Tom20-CR.
Description
Living-cell imaging of HeLa cells transfected with Tom20-CR.
Release, Updated
2022-11-23
License
CC-BY
Kind
Image data
File Formats
.nd2
Data size
160.5 MB

Organism
Homo sapiens ( NCBITaxon:9606 )
Strain(s)
-
Cell Line
HeLa cell ( CLO_0003684 )
Reporter
Tom20-CR

Datatype
-
Molecular Function (MF)
Biological Process (BP)
Cellular Component (CC)
mitochondrial chromosome ( GO:0000262 )
Biological Imaging Method
fluorescence microscopy ( Fbbi:00000246 )
X scale
0.1647955 micrometer/pixel
Y scale
0.1647955 micrometer/pixel
Z scale
1 micrometer/slice
T scale
-

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

Summary of Methods
See details in Miyamoto T, et. al. (2021) STAR Protoc, Aug 5;2(3):100721.
Related paper(s)

Takafumi Miyamoto, Song-Iee Han, Hitoshi Shimano (2021) Protocol for rapid manipulation of mitochondrial morphology in living cells using inducible counter mitochondrial morphology (iCMM)., STAR protocols, Volume 2, Number 3, pp. 100721

Published in 2021 Sep 17 (Electronic publication in Aug. 5, 2021, midnight )

(Abstract) Disruption of mitochondrial morphology occurs during various diseases, but the biological significance is not entirely clear. Here, we describe a detailed step-by-step protocol for a chemically inducible dimerization system-based synthetic protein device, termed inducible counter mitochondrial morphology. This system allows artificial manipulation of mitochondrial morphology on a timescale of minutes in living mammalian cells. We also describe an AI-assisted imaging processing approach. For complete details on the use and execution of this protocol, please refer to Miyamoto et al., 2021.
(MeSH Terms)

Contact
Takafumi Miyamoto , University of Tsukuba , Faculty of Medicine , Department of Internal Medicine (Endocrinology and Metabolism)
Contributors

OMERO Dataset
OMERO Project
Source