Literature DB >> 31993499

Why not add some SPARKL to your life (and death)!?

Jesse D Gelles1,2, Jerry Edward Chipuk1,2,3,4,5.   

Abstract

Quantifying cytostatic and cytotoxic outcomes of cells responding to perturbagens is an essential component of mechanism-based studies and pharmacological screening approaches. We recently described an easy and versatile method for single-cell and population-level analyses using real-time kinetic labeling (SPARKL). This technology enables zero-handling, non-disruptive protocols for integrating proliferation profiles with cell death mechanisms, along with advanced mathematics for robust analyses.
© 2019 Taylor & Francis Group, LLC.

Entities:  

Keywords:  Apoptosis; SPARKL; cell death; ferroptosis; high-throughput; kinetics; live-cell imaging; necroptosis; proliferation; real-time analysis

Year:  2019        PMID: 31993499      PMCID: PMC6961694          DOI: 10.1080/23723556.2019.1685841

Source DB:  PubMed          Journal:  Mol Cell Oncol        ISSN: 2372-3556


  7 in total

Review 1.  Cell death assays for drug discovery.

Authors:  Oliver Kepp; Lorenzo Galluzzi; Marta Lipinski; Junying Yuan; Guido Kroemer
Journal:  Nat Rev Drug Discov       Date:  2011-03       Impact factor: 84.694

2.  Packing in the Proteins.

Authors:  Michelle S Massaquoi; Karen Guillemin
Journal:  Dev Cell       Date:  2019-10-07       Impact factor: 12.270

3.  NIH Image to ImageJ: 25 years of image analysis.

Authors:  Caroline A Schneider; Wayne S Rasband; Kevin W Eliceiri
Journal:  Nat Methods       Date:  2012-07       Impact factor: 28.547

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Authors:  Giovanni C Forcina; Megan Conlon; Alex Wells; Jennifer Yinuo Cao; Scott J Dixon
Journal:  Cell Syst       Date:  2017-06-07       Impact factor: 10.304

5.  Annexin V for flow cytometric detection of phosphatidylserine expression on B cells undergoing apoptosis.

Authors:  G Koopman; C P Reutelingsperger; G A Kuijten; R M Keehnen; S T Pals; M H van Oers
Journal:  Blood       Date:  1994-09-01       Impact factor: 22.113

6.  Fractional killing arises from cell-to-cell variability in overcoming a caspase activity threshold.

Authors:  Jérémie Roux; Marc Hafner; Samuel Bandara; Joshua J Sims; Hannah Hudson; Diana Chai; Peter K Sorger
Journal:  Mol Syst Biol       Date:  2015-05-07       Impact factor: 11.429

7.  Growth rate inhibition metrics correct for confounders in measuring sensitivity to cancer drugs.

Authors:  Marc Hafner; Mario Niepel; Mirra Chung; Peter K Sorger
Journal:  Nat Methods       Date:  2016-05-02       Impact factor: 28.547

  7 in total

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