IN VITRO FUNCTIONAL TESTING

Cell-Based Assay Services

Custom cellular testing for potency, viability and compound profiling.

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Service Scope & Study Types

Boster runs cell-based assays as part of its assay services, through Boster and its partner labs. The core menu uses standard cell lines and primary cells.

Study Type What It Measures What It Helps Decide
Bioactivity / potency Functional dose-response of a biologic or small molecule Activity relative to a reference standard
Proliferation & anti-proliferation Growth promotion or inhibition in responsive cell lines Cytokine or growth-factor activity
Cytotoxicity & viability Loss of membrane integrity or metabolic activity Early safety flags, hit triage
Apoptosis Markers of programmed cell death Whether apoptosis-associated changes contribute to the observed cell-death response
Signaling / reporter Pathway activation via luciferase, GFP, or NFAT/CRE reporters Pathway modulation and support for mechanism-of-action studies
Cytokine secretion & immune function Cytokine release, immune cell activation or suppression Immunomodulatory activity

Antiviral cytopathic-effect assays, stem-cell-derived models and organoids are available on request, with feasibility confirmed at quote. Projects outside these formats go through custom development.

How Boster Runs a Project

Cell-based work varies by nature, so each project starts with a written plan that fixes the design before any plates are run.

  • Assay design: we start from your biological question and agree on the cell model, endpoint, readout and dose range.
  • Pilot first: a small feasibility run confirms the signal window and model fit before a full study.
  • Controls: positive, negative and vehicle controls on every plate, plus a reference standard for potency work.
  • Replicates: the number per condition is set in the study plan and confirmed at quote.
  • Reporting: raw data, analysis methods, relevant plots and summary results, and any deviations. Concentration–response studies include EC50/IC50 estimates and fit statistics where supported by the data.
  • Timeline and price: quoted per project once the design is agreed.
Discuss Your Project

What You Receive

Deliverables are agreed before testing and may include:

  • Study methods: cell model, experimental conditions and analysis methods.
  • Raw data and processed results: measurements and summary tables.
  • Quality-control results: control performance and assessment against acceptance criteria.
  • Plots and analysis: relevant visualizations, concentration–response curves and fit statistics.
  • Findings and deviations: interpretation of results and documentation of departures from the study plan.
  • Protocol documentation: the final method and controls for agreed assay-development or transfer projects.

EC50/IC50 estimates include confidence intervals and fit statistics where estimable. Results that do not support a reliable estimate are identified in the report.

What Cell-Based Assays Measure

A cell-based assay measures a biological response in intact, living cells rather than in an isolated protein or receptor.

Biochemical assays measure target binding or biochemical activity, such as enzyme inhibition, in a defined system. Cell-based assays complement these measurements by assessing responses within a cellular context, where membrane permeability, signaling, metabolism and gene expression can influence the result. A compound can bind a receptor tightly and still fail to trigger the downstream biology a program needs.

Each assay reads one or more functional endpoints: cell number or viability, reporter or pathway activation, cytokine secretion, migration or differentiation. Results are usually reported as a dose-response relationship rather than a single yes/no answer.

Illustration of a cell surface receptor, signaling cascade and nucleus beside a dose-response curve

Why it matters: a functional cell-based result adds functional context that binding data lack, which helps decide which compounds and targets are worth taking further.

Cell Models & Biological Relevance

The cell model sets how closely a result reflects tissue biology, and how much the study costs.

Model Biological Relevance Throughput Typical Variability
Immortalized cell lines Moderate; genetically stable but drifted from native tissue High Low
Donor-derived primary cells High; keeps native receptor and signaling profile Moderate Moderate to high, donor dependent
Stem-cell-derived models (on request) High; reaches cell types that are hard to isolate Low to moderate Moderate, batch dependent
Organoids (on request) Highest; multicellular, tissue-like structure Low High
Microscopy-style comparison of immortalized cell lines, primary cells, stem-cell-derived neuronal models and a 3D organoid

Immortalized cell lines are cheap, consistent and easy to scale, but genetic drift over many passages can shift receptor density and signaling. Donor-derived primary cells keep a more native profile, at the cost of donor-to-donor variability, which donor selection and pooling help control.

Stem-cell-derived models and organoids give access to cell types such as cardiomyocytes, neurons and hepatocytes, or to multicellular tissue structure. They bring lower throughput, higher cost and longer development, so the right model is the one that fits the biological question, not the most complex one.

Custom Assay Development

When a target or pathway has no established assay, Boster builds one in five stages.

  1. Feasibility review. Check the literature, target biology and available reagents to decide whether a functional readout is achievable, and in which cell background.
  2. Model selection. Choose a cell line or primary cell that expresses the target in the right context. For target validation, a custom knockout cell line can serve as the matched negative control.
  3. Optimization. Titrate cell density, incubation time, reagent concentrations and readout to widen the signal window and cut noise.
  4. Qualification. Confirm reproducibility, specificity and acceptance criteria across independent runs and cell lots.
  5. Protocol handoff. Document the final protocol, controls and analysis method so results stay interpretable across studies, or so your team can run it in-house.

Potency & Bioactivity Testing

In a cell-based assay, functional potency describes the amount or concentration of a test article needed to produce a defined cellular response under specified assay conditions. It provides information distinct from binding affinity.

A potency assay measures a functional endpoint, such as proliferation, reporter activation or cytokine release, across a concentration range. Depending on the assay and study objective, curve fitting may provide an EC50, an IC50, or a relative potency estimate against a suitable reference standard. EC50 and IC50 values depend on the assay conditions and the response definition used.

Relative potency compares the amount or concentration of a test article needed to produce a defined response with that of a reference standard. Reporting requires suitable assay performance and assessment of dose–response comparability, including parallelism where appropriate.

Example sigmoidal dose-response curve: percent response against log concentration, with the EC50 marked
Binding assays characterize molecular interactions. Cell-based potency assays measure the resulting functional response in the selected cellular system.

Toxicity & Cytotoxicity Assessment

Cytotoxicity testing shows early whether a compound harms cells at concentrations close to those needed for activity.

What Is Cell Viability?

Cell viability describes the proportion or relative abundance of living cells, assessed through indicators such as membrane integrity or metabolic activity. Viability is a prerequisite for cell division, while proliferation assays measure whether and how much cells divide. Depending on the method, results may be reported as the percentage of viable cells or as a signal relative to an untreated or vehicle control:

  • Membrane integrity dyes (e.g., trypan blue exclusion), which stain only cells with compromised membranes.
  • Metabolic activity assays (e.g., MTT, MTS or resazurin reduction), which use cellular reducing activity as a proxy for viable cell abundance. Changes in metabolism or compound interference can also affect the signal.
  • ATP-based luminescence, which quantifies intracellular ATP as a marker of metabolically active cells.
  • Fluorescent live/dead staining, paired with imaging or flow cytometry to assess cell viability. Additional apoptosis-associated markers and complementary measurements can help distinguish cell-death populations.

A parallel viability readout helps determine whether a drop in a functional signal reflects biological modulation, reduced viable cell numbers, or both. Without this assessment, proliferation and signaling results can be misinterpreted.

Beyond Viability: Cytotoxicity Endpoints

Proliferation Inhibition

Reduced cell growth over time relative to untreated controls.

Apoptosis Markers

Apoptosis-associated changes assessed alongside membrane integrity and other relevant endpoints to help characterize cell death.

Off-Target Effects

Activity against unrelated cell types or pathways outside the intended mechanism.

Finding a cytotoxicity problem at the hit stage, in cells, costs far less than finding it later in an animal study.

Immune-Cell & Cytokine Assays

Immune-cell assays expose a responsive cell population to a test article and measure a defined functional outcome.

Microscopy-inspired illustration of immune cells with varied sizes and surface textures

The endpoint is usually cytokine secretion, proliferation or activation-marker expression in T cells, NK cells or monocytes. Secreted cytokines can be measured as a panel through Boster's multiplex assay services. These assays help assess immunosuppressive or immunostimulatory activity.

Antiviral cytopathic effect (CPE) inhibition assays are available on request. Cells are challenged with a virus that damages them, and the readout is whether the test article, such as an interferon or antiviral candidate, protects them, typically reported as the concentration that protects 50% of cells.

A note on scope: these assays measure defined endpoints in specific cell/stimulus or cell/virus pairings. Read results within the context of the model used, not as evidence of broader antiviral or immunomodulatory effect.

Screening & Drug Discovery Applications

The assay format and cell model change with the question at each stage of a discovery program.

Pipeline Stage Typical Assay Use
Hit confirmation Confirmatory and orthogonal assays to remove false positives and rank hits
Lead optimization Dose-response potency across chemical analogs
Mechanism of action Pathway reporter or signaling assays
Target validation Assess whether target modulation produces the expected cellular response
Safety profiling Cytotoxicity, viability and off-target screening

Primary screening of compound libraries runs through Boster's compound screening services; cell-based assays then confirm and rank the hits.

Technology Platforms & Readouts

The readout sets an assay's sensitivity, throughput and how much detail one run captures.

Platform Best Suited For Trade-off
Plate reader (absorbance/colorimetric) Simple viability or proliferation readouts at scale Lower sensitivity, population average only
Luminescence ATP-based viability, reporter-gene assays High sensitivity; usually one endpoint per well
Fluorescence Live/dead staining, pathway reporters, kinetic assays Susceptible to compound autofluorescence
Flow cytometry Multi-parameter, single-cell immune or viability profiling Lower throughput per sample; more complex data
High-content imaging Morphological and spatial endpoints, multiplexed phenotypes Larger data volumes; longer analysis

To quantify protein levels or phosphorylation directly in fixed cells on the plate, see Boster's In-Cell Western service. Multiplexing, such as reading viability alongside a functional signal from the same well, saves cells and catches cytotoxicity that could mask a real signaling result.

Automation & Scalable Screening

Automated liquid handling and 384-well formats help when a study needs more compounds, conditions or replicates than manual pipetting handles reliably. Smaller volumes are more sensitive to evaporation, edge effects and pipetting error, so an assay moved to a smaller format needs extra optimization first.

Automated and miniaturized formats are available on request. For larger screening campaigns, explore our high-throughput screening (HTS) services. Small or exploratory panels are often faster to set up and troubleshoot by hand.

Illustrative image of pipette tips dispensing into a 384-well microplate

Assay Validation, Quality & Data Analysis

A cell-based result is only as credible as the controls and analysis behind it. Boster builds these into each study plan.

Controls & Replicates

Positive, negative and vehicle controls alongside replicates per condition, to separate real signal from assay noise.

Acceptance Criteria

Assay-specific criteria agreed before testing, such as control performance, replicate variability, signal-to-background ratio, or Z′-factor for suitable screening formats.

Robustness & Reproducibility

Consistency checked across independent runs and cell lots, not only within one experiment.

Curve Fitting & EC50/IC50

Nonlinear regression for suitable concentration–response datasets, with confidence intervals and fit statistics where estimable. Responses that do not support a reliable EC50 or IC50 estimate are identified in the report.

Data Visualization

Dose-response curves and summary tables you can read without reprocessing raw data.

Transparent Reporting

Methods, raw data and any deviations documented, so results can be reviewed or reproduced.

What good reporting looks like: your scientists can trace every EC50 or IC50 value back to the raw dose-response data, with the acceptance criteria the run was judged against stated plainly.

Frequently Asked Questions

Can you work with our existing cell line, assay protocol or SOP?

Yes. We can assess projects using customer-provided cell lines, assay protocols or SOPs. Depending on the method and receiving laboratory, the project may involve direct testing, assay transfer or additional optimization.

How is routine testing different from custom assay development?

Routine testing uses an established assay with defined conditions and acceptance criteria. Custom development may include model selection, feasibility testing, optimization and assay qualification; your quote distinguishes development work from sample testing.

Request a Quote

Tell us about your cells, compounds and the endpoint you need, and we will reply with a study plan and quote.

Email services@bosterbio.com or call (888) 466-3604.

GLP and other quality requirements are confirmed for each project before quotation.