Detail of Fig3_50nM_MMC_TL_9

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Project
Title
Time-lapse images of growth and division of L1210 cells in the microfluidic device with the response to 50 nM MMC.
Description
Time-lapse images of growth and division of L1210 cells in the microfluidic device with the response to 50 nM MMC.
Release, Updated
2023-08-29
License
CC BY
Kind
Image data
File Formats
.tif
Data size
1.8 GB

Organism
Mus musculus ( NCBI:txid10090 )
Strain(s)
-
Cell Line
L1210 cell ( CLO_0007156 )

Datatype
-
Molecular Function (MF)
Biological Process (BP)
growth ( GO:0040007 ) cell division ( GO:0051301 )
Cellular Component (CC)
nucleus ( GO:0005634 )
Biological Imaging Method
time lapse microscopy ( Fbbi:00000249 )
X scale
0.59 micrometer/pixel
Y scale
0.59 micrometer/pixel
Z scale
-
T scale
10 minutes of time interval

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

Summary of Methods
See details in Seita, A et. al. (2021) PLoS One 16, e0236534.
Related paper(s)

Akihisa Seita, Hidenori Nakaoka, Reiko Okura, Yuichi Wakamoto (2021) Intrinsic growth heterogeneity of mouse leukemia cells underlies differential susceptibility to a growth-inhibiting anticancer drug., PloS one, Volume 16, Number 2, pp. e0236534

Published in 2021 (Electronic publication in Feb. 1, 2021, midnight )

(Abstract) Cancer cell populations consist of phenotypically heterogeneous cells. Growing evidence suggests that pre-existing phenotypic differences among cancer cells correlate with differential susceptibility to anticancer drugs and eventually lead to a relapse. Such phenotypic differences can arise not only externally driven by the environmental heterogeneity around individual cells but also internally by the intrinsic fluctuation of cells. However, the quantitative characteristics of intrinsic phenotypic heterogeneity emerging even under constant environments and their relevance to drug susceptibility remain elusive. Here we employed a microfluidic device, mammalian mother machine, for studying the intrinsic heterogeneity of growth dynamics of mouse lymphocytic leukemia cells (L1210) across tens of generations. The generation time of this cancer cell line had a distribution with a long tail and a heritability across generations. We determined that a minority of cell lineages exist in a slow-cycling state for multiple generations. These slow-cycling cell lineages had a higher chance of survival than the fast-cycling lineages under continuous exposure to the anticancer drug Mitomycin C. This result suggests that heritable heterogeneity in cancer cells' growth in a population influences their susceptibility to anticancer drugs.
(MeSH Terms)

Contact
Yuichi Wakamoto, Hidenori Nakaoka , The University of Tokyo, Kyoto University , Graduate School of Arts and Sciences , Graduate School of Biostudies
Contributors

OMERO Dataset
OMERO Project
Source