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Related Experiment Video

Updated: Apr 22, 2026

Use of a Caspase Multiplexing Assay to Determine Apoptosis in a Hypothalamic Cell Model
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"Multiplexed viability, cytotoxicity, and caspase activity assays".

Andrew L Niles1, Terry L Riss

  • 1Promega Corporation, 2800 Woods Hollow Road, Madison, WI, 53711, USA, andrew.niles@promega.com.

Methods in Molecular Biology (Clifton, N.J.)
|October 14, 2014
PubMed
Summary

Multiplexed assays enable multiple cellular measurements in one well, offering cost efficiency and richer data. Combining assays like caspase activity with viability provides better normalization and insights into cytotoxic mechanisms.

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Area of Science:

  • Cellular biology
  • Assay development
  • Biochemistry

Background:

  • Multiplexed assays allow multiple measurements within a single assay well.
  • This approach is more cost-efficient and provides more comprehensive data on compounds or treatments.
  • Combining activity profiles within the same sample offers superior normalization compared to parallel assays.

Purpose of the Study:

  • To highlight the advantages of multiplexed assay chemistries.
  • To demonstrate the enhanced information content and normalization capabilities of multiplexing.
  • To illustrate the utility of combining caspase activity assays with viability/cytotoxicity assays.

Main Methods:

  • Utilizing multiplexed assay chemistries for simultaneous measurements.
  • Integrating caspase activity assays with viability and/or cytotoxicity assays.

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  • Analyzing combined activity profiles within single samples for normalization.

    • Main Results:

    • Multiplexing offers significant cost efficiencies in cellular assays.
    • Combined assays provide richer datasets for compound and treatment evaluation.
    • In-sample normalization corrects for variations like cell number, enhancing data reliability.

    Conclusions:

    • Multiplexed assays are a powerful tool for comprehensive cellular analysis.
    • Combining different assay types, such as caspase and viability, deepens mechanistic understanding.
    • This methodology improves data normalization and accuracy in toxicological studies.