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 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 Single-Cell and Population-Level Analyses Using Real-Time Kinetic Labeling Couples Proliferation and Cell Death Mechanisms

2019 ◽  
Vol 51 (2) ◽  
pp. 277-291.e4 ◽  
Author(s):  
Jesse D. Gelles ◽  
Jarvier N. Mohammed ◽  
Luis C. Santos ◽  
Diana Legarda ◽  
Adrian T. Ting ◽  
...  
Keyword(s):  
Cell Death ◽  
Single Cell ◽  
Real Time ◽  
Population Level ◽  
Cell Death Mechanisms

High-Throughput and Real-Time Monitoring of Single-Cell Extracellular pH Based on Polyaniline Microarrays

2021 ◽  
Author(s):  
Lihui Yang ◽  
Xiaobo Liu ◽  
Bing Yin ◽  
Xunxun Deng ◽  
Xiaotong Lin ◽  
...  
Keyword(s):  
Single Cell ◽  
Real Time ◽  
High Throughput ◽  
Extracellular Ph ◽  
Real Time Monitoring

scholarly journals High-throughput single-cell rheology in complex samples by dynamic real-time deformability cytometry

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Bob Fregin ◽  
Fabian Czerwinski ◽  
Doreen Biedenweg ◽  
Salvatore Girardo ◽  
Stefan Gross ◽  
...  
Keyword(s):  
Single Cell ◽  
Real Time ◽  
High Throughput ◽  
Complex Samples ◽  
Cell Rheology ◽  
Deformability Cytometry

Inertial-Force-Assisted, High-Throughput, Droplet-Free, Single-Cell Sampling Coupled with ICP-MS for Real-Time Cell Analysis

2020 ◽  
Vol 92 (9) ◽  
pp. 6604-6612 ◽  
Author(s):  
Xuan Zhang ◽  
Xing Wei ◽  
Xue Men ◽  
Ze Jiang ◽  
Wen-Qi Ye ◽  
...  
Keyword(s):  
Single Cell ◽  
Real Time ◽  
High Throughput ◽  
Inertial Force ◽  
Cell Analysis ◽  
Icp Ms
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