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Macrophage Chemokine Ligand 20 (CCL20) ELISA Kit, qPCR (MTS-1123-HM30)

Datasheet

Overview

Description

Creative Biolabs provides sandwich ELISA kit for semi-quantitative measurement of Chemokine Ligand 20 (CCL20) in different sample types by qPCR.

Applications

ELISA

Qualified With

Quality Certificate

Detection Method

qPCR

Method Type

Sandwich ELISA

Analytical Method

Semi-Quantitative

Sample Type

Cell Culture Supernatant, Plasma, Serum

Specificity

Chemokine Ligand 20 (CCL20)

Specification

Size

96 tests

Sample Volume

25 µL

Plate

Pre-coated

Bioassay Target Name

Chemokine Ligand 20 (CCL20)

Storage

4 °C, -20 °C, -80 °C

Storage Comment

Reference to the protocol

Expiry Date

6 months

Product Disclaimer

This product is provided for research only, not suitable for human or animal use.

Target Details

Full Name

C-C motif chemokine ligand 20

Synonyms

CKb4; LARC; ST38; MIP3A; Exodus; MIP-3a; SCYA20; MIP-3-alpha

Background

This antimicrobial gene belongs to the subfamily of small cytokine CC genes. Cytokines are a family of secreted proteins involved in immunoregulatory and inflammatory processes. The CC cytokines are proteins characterized by two adjacent cysteines. The protein encoded by this gene displays chemotactic activity for lymphocytes and can repress proliferation of myeloid progenitors. Two transcript variants encoding different isoforms have been found for this gene.

Sub Cat	Reactivity	Sensitivity	Detection Range
MTS-1123-HM813	Human	0.15 pg/mL		Inquiry
MTS-1123-HM814	Mouse	0.3 pg/mL		Inquiry
MTS-1123-HM815	Rat	0.85 pg/mL		Inquiry
MTS-1123-HM816	Chicken	User optimized		Inquiry

FAQs Customer Reviews Related Products

I'm used to standard colorimetric ELISA-why would I choose the qPCR-based readout for CCL20, and what should I expect in terms of interpretation?

This kit is designed as a sandwich ELISA workflow with a qPCR detection readout, described as semi-quantitative for CCL20. Practically, it can be helpful when you want a readout that supports broader dynamic tracking rather than absolute concentration reporting in every scenario. We recommend running an internal reference sample across plates and including a dilution series to confirm linearity in your own matrix, so your trend comparisons remain consistent across experiments.

Can I use this kit for different sample matrices (e.g., serum vs. cell culture supernatant), and how do I reduce matrix interference?

The kit is positioned for use across different sample types (as stated on the product overview), but matrix effects can vary widely between serum/plasma and culture supernatants. To minimize interference, we suggest (1) performing a small pilot with spike-and-recovery in your target matrix, (2) testing 2-3 dilution factors to bring signals into a comparable window, and (3) keeping sample collection/handling consistent (freeze-thaw cycles are a common source of variability). This approach helps you separate true biology from matrix-driven shifts.

How do I decide if "semi-quantitative" performance is enough for my project and publication?

"Semi-quantitative" generally fits studies focused on relative changes (e.g., treatment vs. control, time-course trends, or pathway activation comparisons). If your manuscript requires strict absolute concentration claims across multiple matrices, you may want to validate with an orthogonal quantitative method or run a fully quantitative colorimetric kit in parallel. Many customers handle this by using the qPCR readout for screening and ranking, then confirming top findings with a quantitative assay on the final sample set.

Reliable for tracking CCL20 trends across treatment groups with good consistency
We used this CCL20 kit in a macrophage stimulation study where the main goal was comparing fold-changes between conditions, not reporting absolute pg/mL. The workflow was straightforward and the signal separation between control and stimulated samples was clear once we optimized dilution. It helped us quickly identify the strongest responders and narrow down candidates for follow-up assays. For trend-based projects, it's been a practical and repeatable option.
Helpful semi-quant readout for screening, but validate absolute values separately
This kit worked well for our early-phase screening of cytokine/chemokine responses. The semi-quantitative positioning matched our needs: we mainly needed directionality and ranking. We still validated a subset with another method before final reporting. The biggest improvement came from running a matrix-matched dilution series and keeping a consistent reference sample between plates. Overall, it saved time and gave stable comparative signals.
Good option when sample volume is limited and comparisons matter most
We had limited sample availability and needed a method that could still differentiate groups without consuming too much material for repeats. After a short pilot to tune dilution, we got consistent relative patterns that matched our biological expectations. I'd recommend it for labs prioritizing comparative changes and pathway readouts. If you need absolute concentrations for every figure, plan a confirmatory assay on key samples.

For Research Use Only. Do Not Use in Food Manufacturing or Medical Procedures (Diagnostics or Therapeutics). Do Not Use in Humans.