Luciferase Signal Dynamics and Compound Screening Data for Assay Optimization

Over 8000 bioactive compounds were screened to evaluate interference with benchmarked luciferase reporters. This dataset integrates computational modeling and experimental validation to define key kinetic parameters affecting signal intensity and duration for reliable luminescent assays. The work by Chenggang Xi, last updated in April 2026, provides a framework for selecting luciferase systems and implementing buffer recipes.

Use Cases

• Optimizing assay quantification and sensitivity based on defined enzyme kinetic parameters.
• Screening small-molecule compounds for nonspecific interference based on high-throughput screening data.
• Selecting appropriate luciferase systems for experimental objectives based on signal duration and dynamic range comparisons.
• Improving assay reproducibility in in vitro and in cellulo formats based on guidelines for glow-type emission kinetics.

Strengths

• Includes data from a high-throughput screen of over 8000 bioactive compounds.
• Provides a framework with open-access buffer recipes and tailored data analysis strategies.
• Compares performance of a de novo luciferase (LuxSit Pro) against natural variants.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect experimental bias inherent to the specific study methodology.

Provenance

Source

figshare

Collection Method

Integrates computational modeling with experimental validation.

Time Range

Study period not specified; dataset last updated in April 2026.

Freshness

Last updated 2026-04-08 18:37:41

Geography

Spatial coverage is not specified.