Real-Time Integration of Cell Death and Proliferation Kinetics at the Single-Cell and Population-Level Using High-Throughput Live-Cell Imaging

2018 ◽  
Author(s):  
Jesse D. Gelles ◽  
Jarvier N. Mohammed ◽  
Luis C. Santos ◽  
Jerry E. Chipuk
Keyword(s):  
Cell Death ◽  
Single Cell ◽  
Real Time ◽  
High Throughput ◽  
Live Cell Imaging ◽  
Cell Imaging ◽  
Time Integration ◽  
Population Level ◽  
Live Cell ◽  
Proliferation Kinetics

scholarly journals Real-time integration of cell death mechanisms and proliferation kinetics at the single-cell and population-level using high-throughput live-cell imaging

2019 ◽  
Author(s):  
Jesse D. Gelles ◽  
Jarvier N. Mohammed ◽  
Luis C. Santos ◽  
Diana Legarda ◽  
Adrian T. Ting ◽  
...  
Keyword(s):  
Cell Death ◽  
Single Cell ◽  
Real Time ◽  
High Throughput ◽  
Live Cell Imaging ◽  
Cell Imaging ◽  
Time Integration ◽  
Population Level ◽  
Live Cell ◽  
Cell Death Mechanisms

SummaryQuantifying cytostatic and cytotoxic outcomes are integral components of characterizing perturbagens used as research tools and/or in drug discovery pipelines. Furthermore, data-rich acquisition coupled with robust methods for analysis is required to properly assess the function and impact of these perturbagens. Here, we present a detailed and versatile method for Single-cell and Population-level Analyses using Real-time Kinetic Labeling (SPARKL). SPARKL integrates high-content live-cell imaging with automated detection and analysis of fluorescent reporters of cell death. We outline several examples of zero-handling, non-disruptive protocols for detailing cell death mechanisms and proliferation profiles. Additionally, we suggest several methods for mathematically analyzing these data to best utilize the collected kinetic data. Compared to traditional methods of detection and analysis, SPARKL is more sensitive, accurate, and high-throughput while substantially eliminating sample processing and providing richer data.

scholarly journals High-Throughput Cell Death Assays with Single-Cell and Population-Level Analyses Using Real-Time Kinetic Labeling (SPARKL)

2020 ◽  
Vol 1 (1) ◽  
pp. 100034
Author(s):  
Jesse D. Gelles ◽  
Jerry E. Chipuk
Keyword(s):  
Cell Death ◽  
Single Cell ◽  
Real Time ◽  
High Throughput ◽  
Population Level

scholarly journals Erratum: Robust high-throughput kinetic analysis of apoptosis with real-time high-content live-cell imaging

2017 ◽  
Vol 8 (5) ◽  
pp. e2758-e2758 ◽  
Author(s):  
Jesse D Gelles ◽  
Jerry Edward Chipuk
Keyword(s):  
Kinetic Analysis ◽  
Real Time ◽  
High Throughput ◽  
Live Cell Imaging ◽  
Cell Imaging ◽  
Live Cell

High-throughput single-cell quantification using simple microwell-based cell docking and programmable time-course live-cell imaging

Lab on a Chip ◽  
2011 ◽  
Vol 11 (1) ◽  
pp. 79-86 ◽  
Author(s):  
Min Cheol Park ◽  
Jae Young Hur ◽  
Hye Sung Cho ◽  
Sang-Hyun Park ◽  
Kahp Y. Suh
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Live Cell Imaging ◽  
Time Course ◽  
Cell Imaging ◽  
Live Cell ◽  
Cell Quantification

scholarly journals Combining Live Cell Imaging with Cellular Impedance to Monitor Apoptotic Cell Death in Real Time

2020 ◽  
Vol 34 (S1) ◽  
pp. 1-1
Author(s):  
Brandon J. Lamarche ◽  
Grace Yang ◽  
Jiaming Zhang ◽  
Peifang Ye ◽  
Nancy Li ◽  
...  
Keyword(s):  
Cell Death ◽  
Real Time ◽  
Live Cell Imaging ◽  
Cell Imaging ◽  
Apoptotic Cell ◽  
Apoptotic Cell Death ◽  
Live Cell

scholarly journals SCOPE-Seq: a scalable technology for linking live cell imaging and single-cell RNA sequencing

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Jinzhou Yuan ◽  
Jenny Sheng ◽  
Peter A. Sims
Keyword(s):  
Single Cell ◽  
Rna Sequencing ◽  
Live Cell Imaging ◽  
Cell Imaging ◽  
Live Cell ◽  
Single Cell Rna Sequencing

scholarly journals A high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of Mycobacterium tuberculosis phenotypes

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sadaf Kalsum ◽  
Blanka Andersson ◽  
Jyotirmoy Das ◽  
Thomas Schön ◽  
Maria Lerm
Keyword(s):  
Mycobacterium Tuberculosis ◽  
High Throughput ◽  
High Throughput Screening ◽  
Live Cell Imaging ◽  
Cell Imaging ◽  
Imaging System ◽  
Aggregate Size ◽  
Live Cell ◽  
Screening Assay ◽  
High Throughput Screening Assay

Abstract Background Efficient high-throughput drug screening assays are necessary to enable the discovery of new anti-mycobacterial drugs. The purpose of our work was to develop and validate an assay based on live-cell imaging which can monitor the growth of two distinct phenotypes of Mycobacterium tuberculosis and to test their susceptibility to commonly used TB drugs. Results Both planktonic and cording phenotypes were successfully monitored as fluorescent objects using the live-cell imaging system IncuCyte S3, allowing collection of data describing distinct characteristics of aggregate size and growth. The quantification of changes in total area of aggregates was used to define IC50 and MIC values of selected TB drugs which revealed that the cording phenotype grew more rapidly and displayed a higher susceptibility to rifampicin. In checkerboard approach, testing pair-wise combinations of sub-inhibitory concentrations of drugs, rifampicin, linezolid and pretomanid demonstrated superior growth inhibition of cording phenotype. Conclusions Our results emphasize the efficiency of using automated live-cell imaging and its potential in high-throughput whole-cell screening to evaluate existing and search for novel antimycobacterial drugs.

scholarly journals mycelyso – high-throughput analysis of Streptomyces mycelium live cell imaging data

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Christian Carsten Sachs ◽  
Joachim Koepff ◽  
Wolfgang Wiechert ◽  
Alexander Grünberger ◽  
Katharina Nöh
Keyword(s):  
High Throughput ◽  
Live Cell Imaging ◽  
Cell Imaging ◽  
Live Cell ◽  
Imaging Data ◽  
High Throughput Analysis ◽  
Throughput Analysis

Live cell imaging analysis of the epigenetic regulation of the human endothelial cell migration at single-cell resolution

Lab on a Chip ◽  
2012 ◽  
Vol 12 (17) ◽  
pp. 3063 ◽  
Author(s):  
Chunhong Zheng ◽  
Zhilong Yu ◽  
Ying Zhou ◽  
Louis Tao ◽  
Yuhong Pang ◽  
...  
Keyword(s):  
Cell Migration ◽  
Endothelial Cell ◽  
Single Cell ◽  
Epigenetic Regulation ◽  
Live Cell Imaging ◽  
Cell Imaging ◽  
Live Cell ◽  
Endothelial Cell Migration ◽  
Human Endothelial Cell ◽  
Imaging Analysis

scholarly journals CellCognition: time-resolved phenotype annotation in high-throughput live cell imaging

2010 ◽  
Vol 7 (9) ◽  
pp. 747-754 ◽  
Author(s):  
Michael Held ◽  
Michael H A Schmitz ◽  
Bernd Fischer ◽  
Thomas Walter ◽  
Beate Neumann ◽  
...  
Keyword(s):  
High Throughput ◽  
Live Cell Imaging ◽  
Cell Imaging ◽  
Live Cell ◽  
Time Resolved ◽  
Phenotype Annotation
Sign in / Sign up

Export Citation Format

Share Document