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

Gelles, Jesse D.; Mohammed, Jarvier N.; Santos, Leonardo D.; Legarda, Diana; Ting, Adrian T.; Chipuk, Jerry E.

doi:10.1016/j.devcel.2019.08.016

Cited by 14 publications

(20 citation statements)

References 57 publications

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“…Comparing Annexin V and YOYO3 kinetic data may suggest which cell death pathway activates following treatment of your perturbagen ( Figure 6 ). Coupled with pathway-specific inhibitors or genetic cell models, investigators can use SPARKL to determine relevant cell death machinery as exampled below (and detailed in Gelles et el., 2019 ).…”

Section: Quantification and Statistical Analysismentioning

confidence: 99%

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

Gelles

Chipuk

2020

STAR Protocols

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SUMMARY High-throughput cytostatic and cell death assays are a critical component of pharmacological screens and mechanism-based interrogations into cellular biology. We developed a method for single-cell and population-level analyses using real-time kinetic labeling (abbreviated “SPARKL”) with non-toxic fluorescent probes and high-content live-cell imagers. The protocols herein detail the steps, specifics, and suggested utilization of the SPARKL method within several “label-and-go” zero-handling workflows. For complete details on the use and execution of this protocol, please refer to Gelles et al. (2019) .

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Section: Quantification and Statistical Analysismentioning

confidence: 99%

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

Gelles

Chipuk

2020

STAR Protocols

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“…There is a necessity to define and quantify these outcomes to accurately characterize cell death research. Jesse Gelles (Icahn School of Medicine at Mount Sinai, USA) presented a self‐devised method for single‐cell and population‐level analyses using real‐time kinetic labeling (SPARKL), which utilizes live‐cell imagers to capture cell death kinetics in real time . This workflow was shown to afford users minimal handling, nondisruptive protocols for identifying and dichotomizing various cell death pathways engaged following perturbagen treatments.…”

Section: Pathways Off Broadwaymentioning

confidence: 99%

Cell death through the ages: The ICDS 25th Anniversary Meeting

et al. 2020

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In June of 2019, the International Cell Death Society (ICDS) held its 25th anniversary meeting in New York City at the Icahn School of Medicine at Mount Sinai organized by Drs. Richard A. Lockshin (St. John’s University, USA), Zahra Zakeri (Queens College, USA), and Jerry Edward Chipuk (Icahn School of Medicine at Mount Sinai, USA). The three‐day event, entitled ‘Cell death through the ages: The ICDS 25th anniversary meeting’, hosted ninety‐one delegates including thirty‐four speakers and twenty‐two poster presentations. Additionally, the organizers gave special recognition to the twenty‐one previous ICDS Lifetime Achievement awardees—those who have significantly contributed to the field of cell death and the growth of the organization. Here, we provide a summary of the meeting and highlight trending research in the fields of cell death, autophagy, immunology, and their impact on health and disease.

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“…First, the system contains only one characteristic exponent: the growth rate of the proliferating cells ( = − − ). Recent advancements in time-lapse imaging in live cell microscopy 17 potentially provide a useful platform for measuring the cellular kinetics to determine the growth rate. However, unless specifically enumerating the proliferating cells, a proper fitting function should be applied to the number of viable cells ( = + 1 − ) or dead cells ( = ( − 1) ) to determine the proliferating -growth-rate.…”

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confidence: 99%

Preclinical drug response metric based on cellular response phenotype provides better pharmacogenomic variables with phenotype relevance

Kim

Hwang

2020

Preprint

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Current drug-response metrics based on viability or apparent growth rates are limited by their dependency on the assay duration and lack of reflections regarding actual cellular drug-response phenotypes. To resolve these limitations, we evaluated the contribution of each cellular response phenotype to a drug on the overall growth behavior. This provides a time-independent phenotype metric which can reveal the mechanisms underlying growth inhibition of specific cells by a given drug.

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

Cited by 14 publications

References 57 publications

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

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

Cell death through the ages: The ICDS 25th Anniversary Meeting

Preclinical drug response metric based on cellular response phenotype provides better pharmacogenomic variables with phenotype relevance

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