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Macrophage Chemokine Ligand 22 (CCL22) ELISA Kit, qPCR (MTS-1123-HM23)

Datasheet

Overview

Description

Creative Biolabs provides sandwich ELISA kit for semi-quantitative measurement of Chemokine Ligand 22 (CCL22) 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 22 (CCL22)

Specification

Size

96 tests

Sample Volume

25 µL

Plate

Pre-coated

Bioassay Target Name

Chemokine Ligand 22 (CCL22)

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 22

Synonyms

MDC; ABCD-1; SCYA22; STCP-1; DC/B-CK; A-152E5.1

Background

This antimicrobial gene is one of several Cys-Cys (CC) cytokine genes clustered on the q arm of chromosome 16. Cytokines are a family of secreted proteins involved in immunoregulatory and inflammatory processes. The CC cytokines are proteins characterized by two adjacent cysteines. The cytokine encoded by this gene displays chemotactic activity for monocytes, dendritic cells, natural killer cells and for chronically activated T lymphocytes. It also displays a mild activity for primary activated T lymphocytes and has no chemoattractant activity for neutrophils, eosinophils and resting T lymphocytes. The product of this gene binds to chemokine receptor CCR4. This chemokine may play a role in the trafficking of activated T lymphocytes to inflammatory sites and other aspects of activated T lymphocyte physiology.

Sub Cat	Reactivity	Sensitivity	Detection Range
MTS-1123-HM805	Human	0.15 pg/mL		Inquiry
MTS-1123-HM806	Mouse	0.2 pg/mL		Inquiry
MTS-1123-HM807	Rhesus Monkey	User optimized		Inquiry

FAQs Customer Reviews Related Products

Is this kit measuring CCL22 protein or CCL22 gene expression, and how should I interpret the results?

A qPCR-based kit measures CCL22 mRNA expression rather than secreted protein concentration. That means results reflect transcriptional changes, which can precede, exceed, or sometimes fail to translate into protein changes depending on post-transcriptional regulation and secretion dynamics. For interpretation, normalize to appropriate housekeeping genes validated for your cell type and treatment, and report fold-changes relative to a control condition. If your study aims to connect gene expression with functional chemokine levels, pairing qPCR with a protein assay (e.g., ELISA) provides a more complete picture.

Can I compare qPCR results across different cell types or tissues directly?

Direct comparison across cell types can be misleading unless normalization and assay efficiency are carefully controlled. Different tissues may have different baseline expression and different stability of housekeeping genes. We recommend validating at least two reference genes for each sample type and checking PCR efficiency. Report results as relative expression (ΔΔCt) within a defined experimental context rather than claiming absolute equivalence between unrelated tissues. If cross-tissue comparison is essential, consider standard curves, RNA quality metrics, and consistent input amounts, and interpret differences conservatively.

What are the biggest sources of variability, and how can I reduce them?

The biggest variability typically comes from RNA quality, genomic DNA contamination, inconsistent reverse transcription, and pipetting differences. Use high-integrity RNA, include DNase treatment when appropriate, and run no-RT and no-template controls to detect contamination. Keep reaction setup consistent by using master mixes and calibrated pipettes, and run technical replicates. For macrophage-related samples, inhibitors can appear in lysates, so thorough purification and optional dilution can improve performance. A short pilot run to confirm amplification specificity and melt-curve behavior can prevent wasted sample later.

Clear amplification and consistent fold-changes for CCL22 mRNA tracking
We used this qPCR kit to monitor CCL22 transcription after macrophage stimulation. The assay produced clean amplification curves and consistent fold-changes when we normalized to two validated housekeeping genes. It also helped us detect early transcriptional shifts before protein secretion became obvious. The workflow was straightforward, and it fit well with our existing qPCR setup. We recommend running RNA quality checks and controls, but overall performance was dependable for gene expression profiling.
Good specificity after validating melt curves and including proper negative controls
Our main concern was specificity, but melt-curve analysis and no-template controls looked clean. Once we standardized RNA input and reverse transcription conditions, variability dropped. The kit was particularly useful for comparing treatment conditions within the same macrophage model. We did not treat the results as a direct substitute for protein quantification, but as a complementary readout it was valuable. Overall, it provided reliable mRNA-level insight with minimal troubleshooting.
Convenient option for labs needing expression data without building primers from scratch
This kit saved time compared with designing and validating primers ourselves. For our project timeline, having a ready-to-run CCL22 qPCR solution reduced setup effort and allowed us to focus on experimental design. Results were stable across runs when RNA prep was consistent. We also appreciated that the kit encouraged use of controls, which improved our data quality. It's a practical choice for quick expression screening or confirming ELISA findings at the transcript level.

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