Bioassay and bioactivity testing.

About Bioassays

Bioassays play an important role in the product characterization of biological products. The assessment of the biological activity (potency) is part of the GMP requirements as described in the quality guideline ICH Q6B.

The main objective of a potency assay is to determine the relative potency which is a major GMP requirement for release of samples.

Bioassay Validation in compliance with United States Pharmacopeia (USP <1033>: Biological Assay Validation)

The objective of bioassay validation is to verify that the assay is fit for the intended purpose.

A validated bioassay characterizes the performance of the assay and its limitations, provides confidence in data quality and contributes to GMP compliance for batch release and submission for manufacturing and clinical trial studies.

The reason for performing the bioassay must be specified, e.g. batch release, stability, comparability, ect. The GMP requirements are stated in the ICH Q6B Quality Guideline, the validation guidelines are stated in the US Pharmcopeia.

Bioassay
Bioassay and bioactivity testing.

Bioactivity Testing

The assessment of the biological activity is part of the characterization profile as described in ICH Q6B. The bioactivity is depending on the overall shape of the protein which is laid out by the amino acid sequence.

How the protein is folded determines its function. Subtle changes in the protein structure can alter its bioactivity. Glycosylation is one of the most commonly known post-translation modifications.

Consistency in assays is mandatory for validation experiments and statistical analysis. Therefore, skilled, experienced and trained technicians are essential and challenging within your work environment.


Bioassay Analysis

Statistical Analysis

In some bioassays, a linear response model can be applied, for statistical analysis, to quantitatively determine the analyte.

However, the data type of the bioassay model to analyze the cellular response, follows in most cases a sigmoidal dose-response curve.

The dose-response curve represents a graphical illustration of the analyte (x-values) and the biological effect (y-values).

The four-parameter logistic regression model is quite useful for the statistical analysis of cell-based assays for dose-response analysis.

It is a sigmoidal-shaped, nonlinear regression model used to quantify the analyte.

Four parameters (minimum asymptote, maximum asymptote, inflection point (EC50), and Hill coefficient) define the validation characteristics of the test performance in which the inflection point reflects the EC50 value.

The EC50 value defines the half-maximal effective concentration of the analyte. The EC50 value is used to determine the potency of proteins.


Key Bioassay Benefits

Our validation engineers, who are well-qualified, specializes in cell and molecular biology, allowing us to contribute to the design, development and validation of cell-based assay, potency assays, ADCC assay, assay for target validation and drug screening, to support marketing authorization and GMP release of samples.

Bioassay Validation for gene and cell-based therapy.

Design, Development and Validation of Biological Assays

Bioassay Validation Services

  • USP Chapter <1032>: Design and Development of Biological Assays
  • USP Chapter<1033>: Biological Assay Validation
  • USP Chapter<1034>: Analysis of Biological Asssays
  • USP <111>: Design and Analysis of Biological Assays
Validation Services for bioassays.

Hands-on Experience

FACS
Analytical Method

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Your Benefits

Bioassay