scholarly journals High‐Throughput Automated Single‐Cell Imaging Analysis Reveals Dynamics of Glioblastoma Stem Cell Population During State Transition

2019 ◽  
Vol 95 (3) ◽  
pp. 290-301 ◽  
Author(s):  
Anastasia P. Chumakova ◽  
Masahiro Hitomi ◽  
Erik P. Sulman ◽  
Justin D. Lathia
Keyword(s):  
Stem Cell ◽  
Single Cell ◽  
Cell Population ◽  
High Throughput ◽  
Cell Imaging ◽  
State Transition ◽  
Stem Cell Population ◽  
Imaging Analysis ◽  
Glioblastoma Stem Cell ◽  
Single Cell Imaging

scholarly journals High-throughput Automated Single Cell Imaging Analysis Reveals Dynamics Of Glioblastoma Stem Cell Population During State Transition

2018 ◽  
Author(s):  
Anastasia P. Chumakova ◽  
Masahiro Hitomi ◽  
Erik P. Sulman ◽  
Justin D. Lathia
Keyword(s):  
Stem Cell ◽  
Protein Expression ◽  
Single Cell ◽  
High Throughput ◽  
Cell Imaging ◽  
State Transition ◽  
Imaging Analysis ◽  
Sox2 Expression ◽  
Single Cell Imaging ◽  
Stem Cell State

ABSTRACTCancer stem cells (CSCs) are a heterogeneous and dynamic population that stands at the top of tumor cellular hierarchy and is responsible for maintenance of the tumor microenvironment. As methods of CSC isolation and functional interrogation advance, there is a need for a reliable and accessible quantitative approach to assess heterogeneity and state transition dynamics in CSCs. We developed a High-throughput Automated Single Cell Imaging Analysis (HASCIA) approach for quantitative assessment of protein expression with single cell resolution and applied the method to investigate spatiotemporal factors that influence CSC state transition using glioblastoma (GBM) CSC as a model system. We were able to validate the quantitative nature of this approach through comparison of the protein expression levels determined by HASCIA to those determined by immunoblotting. A virtue of HASCIA was exemplified by detection of a subpopulation of SOX2-low cells, which expanded in fraction size during state transition. HASCIA also revealed that CSCs were committed to loose stem cell state at an earlier time point than the average SOX2 level decreased. Functional assessment of stem cell frequency in combination with quantification of SOX2 expression by HASCIA defined a stable cut-off of SOX2 expression level for stem cell state. We also developed an approach to assess local cell density and found that denser monolayer areas possess higher average levels of SOX2, higher cell diversity and a presence of a sub-population of slowly proliferating SOX2-low CSCs. HASCIA is an open source software that facilitates understanding the dynamics of heterogeneous cell population such as that of CSCs and their progeny. It is a powerful and easy-to-use image analysis and statistical analysis tool available athttps://hascia.lerner.ccf.org.

scholarly journals SC-04 * NON-UNIFORM NOTCH SIGNALING UNDERLIES HETEROGENEITY WITHIN THE GLIOBLASTOMA STEM CELL POPULATION

2014 ◽  
Vol 16 (suppl 5) ◽  
pp. v197-v197
Author(s):  
N. Sumru Bayin ◽  
S. Si ◽  
A. Modrek ◽  
H.-R. Song ◽  
D. Zagzag ◽  
...  
Keyword(s):  
Stem Cell ◽  
Notch Signaling ◽  
Cell Population ◽  
Stem Cell Population ◽  
Glioblastoma Stem Cell

Optofluidic time-stretch imaging – an emerging tool for high-throughput imaging flow cytometry

Lab on a Chip ◽  
2016 ◽  
Vol 16 (10) ◽  
pp. 1743-1756 ◽  
Author(s):  
Andy K. S. Lau ◽  
Ho Cheung Shum ◽  
Kenneth K. Y. Wong ◽  
Kevin K. Tsia
Keyword(s):  
Flow Cytometry ◽  
Single Cell ◽  
High Throughput ◽  
Cell Imaging ◽  
Imaging Flow Cytometry ◽  
Single Cell Imaging ◽  
Optical Time ◽  
High Throughput Imaging

Optical time-stretch imaging is now proven for ultrahigh-throughput optofluidic single-cell imaging, at least 10–100 times faster.

scholarly journals Diversity in ATP concentrations in a single bacterial cell population revealed by quantitative single-cell imaging

2014 ◽  
Vol 4 (1) ◽  
Author(s):  
Hideyuki Yaginuma ◽  
Shinnosuke Kawai ◽  
Kazuhito V. Tabata ◽  
Keisuke Tomiyama ◽  
Akira Kakizuka ◽  
...  
Keyword(s):  
Single Cell ◽  
Cell Population ◽  
Bacterial Cell ◽  
Cell Imaging ◽  
Single Cell Imaging

scholarly journals Virus Reduction Neutralization Test: A Single-Cell Imaging High-Throughput Virus Neutralization Assay for Dengue

2018 ◽  
Vol 99 (6) ◽  
pp. 1430-1439 ◽  
Author(s):  
Melissa C. Whiteman ◽  
Leah Bogardus ◽  
Danila G. Giacone ◽  
Leonard J. Rubinstein ◽  
Joseph M. Antonello ◽  
...  
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Cell Imaging ◽  
Neutralization Test ◽  
Neutralization Assay ◽  
Virus Neutralization ◽  
Virus Neutralization Assay ◽  
Single Cell Imaging
Sign in / Sign up

Export Citation Format

Share Document