Human Granulocyte–Macrophage Colony-Stimulating Factor (GM-CSF) ELISA Kit

$890.00

Short Description
The BioDeviceLab Human Granulocyte–Macrophage Colony-Stimulating Factor (GM-CSF) ELISA Kit is a high-sensitivity sandwich immunoassay designed for quantitative measurement of GM-CSF in serum, plasma, and cell culture supernatants. The assay enables precise assessment of myeloid cell activation, epithelial–immune crosstalk, and inflammatory signaling in gut-on-chip and immunology models.

For Research Use Only (RUO).

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Product Overview
The BioDeviceLab Human GM-CSF ELISA Kit is a high-performance enzyme-linked immunosorbent assay developed for the quantitative determination of GM-CSF, a pleiotropic cytokine produced by epithelial cells, T cells, macrophages, and stromal cells in response to inflammatory and microbial stimuli. GM-CSF regulates the differentiation, activation, and survival of granulocytes and macrophages and shapes innate immune responses at mucosal surfaces.

In gastrointestinal systems, GM-CSF is a key mediator of epithelial–immune communication, influencing barrier maintenance, antimicrobial responses, and tissue inflammation. Altered GM-CSF signaling is implicated in inflammatory bowel disease and infection-driven immune dysregulation. In gut-on-chip platforms, GM-CSF serves as a robust biomarker for myeloid activation gradients, immune recruitment, and therapeutic modulation of inflammatory pathways. This assay combines high analytical sensitivity, strong specificity, and reproducible performance, making it suitable for mechanistic studies and advanced biodevice validation workflows.

Intended Use
This kit is intended for the quantitative determination of GM-CSF in:
• Serum
• Plasma
• Cell culture supernatants

Applications include gut-on-chip immune activation studies, myeloid differentiation and recruitment assays, host–microbiome interaction research, inflammatory signaling analysis, drug and biologic screening, and biodevice calibration and benchmarking.

Assay Principle
This assay employs a sandwich ELISA format:
• GM-CSF present in the sample binds to capture antibodies immobilized on a 96-well microplate.
• A biotinylated detection antibody specific to GM-CSF binds to the captured cytokine.
• An enzyme conjugate is added, followed by chromogenic substrate (TMB).
• The enzymatic reaction generates a colorimetric signal measured at 450 nm.
• Absorbance is directly proportional to the GM-CSF concentration in the sample.

Calibration Curve
• A calibration curve is generated using recombinant human GM-CSF standards with known concentrations.
• Mean absorbance values are plotted against GM-CSF concentration on a semi-logarithmic scale.
• A four-parameter logistic (4PL) regression model is recommended for curve fitting.
• Sample concentrations are calculated by interpolation from the standard curve.

Analytical Performance
Dynamic Detection Range
• 5 – 1,000 pg/mL

Analytical Sensitivity
• Limit of Detection (LOD): ≤ 2 pg/mL

Precision
• Intra-assay CV: < 7%
• Inter-assay CV: < 11%

Selectivity & Specificity
The assay demonstrates high specificity for GM-CSF with minimal cross-reactivity to related cytokines (IL-3, IL-5, IL-6, TNF-α) (< 1%).

Kit Components
Each kit contains sufficient reagents for up to 96 determinations:
• Antibody-coated 96-well microplate
• GM-CSF standards (lyophilized, multiple concentrations)
• Biotinylated detection antibody
• Enzyme conjugate
• Assay buffer
• Wash buffer (10×)
• TMB substrate
• Stop solution
• Detailed assay protocol

Sample Collection & Handling
• Collect samples using standard laboratory procedures.
• Avoid repeated freeze–thaw cycles.
• Samples exceeding the highest standard should be diluted using assay buffer.
• Clarify samples prior to analysis if turbidity is present.

Storage & Stability
• Store all components at 2–8 °C.
• Do not freeze reagents unless explicitly stated.
• Unopened kits are stable until the stated expiration date.

Applications
• Myeloid cell activation and differentiation studies
• Gut-on-chip epithelial–immune crosstalk modeling
• Host–microbiome immune interaction research
• Inflammatory signaling and tissue injury models
• Drug and biologic screening
• Biodevice calibration and benchmarking

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