High-sensitivity Assays
High-sensitivity Assays - Related Videos
08:34
Highly Sensitive Assay for Measurement of Arenavirus-cell Attachment
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Cited by 1 •
2016
The first step in the arenavirus life cycle is attachment of viral particles to host cells. We report a quantitative (q)RT-PCR-based assay for ultrasensitive detection and quantitation of arenavirus attachment events.
03:57
Sulforhodamine B Assay: A Sensitive Assay to Measure Drug Resistance Via Determination of Cellular Protein Content in Cancer Cells
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2023
This video describes the high throughput colorimetric screening assay, sulforhodamine B assay, to measure drug-induced cytotoxicity in cancer cells. The assay determines the drug resistance by measuring the cell density based on the cellular protein content.
07:28
An Inexpensive, Scalable Behavioral Assay for Measuring Ethanol Sedation Sensitivity and Rapid Tolerance in Drosophila
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Cited by 14 •
2015
Straightforward assays for measuring ethanol sensitivity and rapid tolerance in Drosophila facilitate the use of this model organism for investigating these important ethanol-related behaviors. Here, a relatively simple, scalable assay for measuring ethanol sensitivity and rapid tolerance in flies is described.
09:39
Drug-induced Sensitization of Adenylyl Cyclase: Assay Streamlining and Miniaturization for Small Molecule and siRNA Screening Applications
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Cited by 6 •
2014
Persistent activation of inhibitory G protein-coupled receptors results in sensitization of adenylyl cyclase signaling. To identify the essential molecular pathways, nonbiased approaches are necessary; however, this strategy requires the development of a scalable cell-based cAMP sensitization assay. Herein, we describe a sensitization assay for small molecule and siRNA screening.
05:14
Minimum Erythematous Dose Assay: A Method for Measuring UV Sensitivity in Mouse Models
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2023
This video describes a method to measure UV sensitivity in a humanized mouse model—a mouse model that mimics human skin. We determine the minimal erythematous dose (MED) of UV radiation that can cause erythema or edema on the skin. The method can help to find out the efficacy of drugs used to reduce UV sensitivity.
FAQs
High-sensitivity assays separate a meaningful target signal from measurement noise by pairing selective recognition with signal generation and readout conditions that preserve weak responses. Selectivity helps favor the intended substance over unrelated material, while optimized measurement makes the resulting signal easier to distinguish. This combination is important when small biological changes could otherwise remain hidden.
Selective target recognition determines which molecular signal an assay treats as relevant. By favoring the intended substance, it can reduce the influence of unrelated biological material and make a low-level result more interpretable. In clinical research, this matters because the value of detecting a subtle biomarker depends not only on seeing a signal, but on linking that signal to the biological target under study.
Background interference matters because a weak target signal may be difficult to distinguish from unrelated signal or noise. Reducing that interference improves the separation between the target response and the surrounding measurement background. In practice, this supports more reliable observation of subtle biological changes and helps preserve the usefulness of low-level measurements in clinical research.
High-sensitivity assays are especially useful when the biological feature of interest occurs at a low abundance or changes only slightly. Clinical researchers can apply them to low-abundance biomarkers, early disease-related changes, and situations in which treatment effects need to be assessed before larger differences become apparent. Their role is therefore strongest where subtle molecular information has clinical relevance.
Repeated measurements can turn a single biomarker result into a picture of change over time. In clinical research, this supports longitudinal monitoring by showing whether a disease-related signal remains stable, shifts, or changes alongside an intervention. The resulting pattern may provide more context for interpreting progression or response than one low-level measurement alone.
Treatment-response studies can use high-sensitivity assays to examine small biomarker changes associated with an intervention. Because these methods are intended to preserve information from weak signals, they may help researchers evaluate whether a disease-related molecular pattern changes during treatment. This makes them useful for connecting analytical measurements with response assessment in clinical research.