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Human Macrophage Polarization Markers qPCR Array Kit (MTS-1123-HM124)

Overview

Description
This product is designed to facilitate gene expression profiling of 40 marker genes involved in macrophage polarization, which has important implications for regulating innate immunological functions and maintaining homeostasis.
Applications
ELISA
Qualified With
Quality Certificate
Detection Method
qPCR

Specification

Size
1 Kit
Storage
4 °C, -20 °C
Storage Comment
Reference to the protocol
Product Disclaimer
This product is provided for research only, not suitable for human or animal use.
FAQs Customer Reviews Related Products

What exactly does this kit profile, and how can it help me distinguish nuanced polarization states beyond the simplistic M1/M2 split?

This kit is designed for gene expression profiling of 40 marker genes involved in macrophage polarization, supporting studies on innate immune regulation and homeostasis. Instead of relying on one or two markers, you can evaluate multi-gene patterns that reflect mixed or transitional phenotypes, which are common in real biological systems (tumor microenvironments, chronic inflammation, biomaterials). For best interpretation, pair the array results with a small set of functional assays (cytokine release, phagocytosis, antigen presentation proxies) and include a consistent reference condition (e.g., M0 baseline) so you can interpret shifts as a polarization "direction" rather than a binary label.

What's the detection method and storage requirement, and how should I manage reagents to avoid RNA/qPCR quality issues?

The specification lists the detection method as qPCR, with storage at 4 °C and -20 °C (see protocol for details). To protect qPCR quality, use RNase-free technique throughout, assess RNA integrity (at least by A260/280 and a quick gel or fragment analysis if available), and keep reverse transcription timing consistent across samples. We also recommend including no-RT and no-template controls, plus one inter-run calibrator sample if you plan multiple plates. Finally, avoid repeated freeze-thaw cycles of sensitive components by aliquoting where allowed, and document Ct acceptance thresholds for internal QC.

I have limited sample material. Can I still use the array, and how do you recommend analyzing the results to make them publication-ready?

With limited material, the key is RNA quality and consistent input rather than sheer quantity. You can often succeed by concentrating RNA, using high-efficiency reverse transcription, and keeping technical replicates focused on a subset of critical samples while prioritizing biological replicates. For analysis, use a clearly defined housekeeping strategy, apply ΔΔCt with an explicit reference condition, and pre-register criteria for calling genes "changed" (e.g., fold-change plus Ct reliability cutoffs). Visualization like heatmaps and pathway grouping of the 40 markers can make the narrative clearer. Reviewers also value cross-validation: confirm 3-5 key genes with independent primers or orthogonal protein assays.

  • The 40-gene panel gave a much richer polarization fingerprint
    We used this qPCR array kit to profile macrophage polarization under different biomaterial coatings. The strength is the multi-marker view-having 40 genes in one workflow helped us see mixed states that wouldn't be obvious from one "classic" marker. We built a simple analysis pipeline using ΔΔCt, a fixed baseline reference, and a heatmap for visualization. Once we added a few confirmatory cytokine assays, the story was very coherent. It's a solid choice if you want to move beyond binary M1/M2 labels and present a more realistic phenotype profile.
  • Practical storage and straightforward qPCR workflow fit our core facility
    Our core facility runs qPCR routinely, so this kit slotted in easily. The detection method is qPCR and the storage conditions (4 °C and -20 °C) were simple to manage in our inventory system. The main value was standardization: a defined marker set and consistent reagents reduced the variability we saw when different lab members ordered different primer sets. For multi-project teams, it saves time and avoids debate about which genes "count" as polarization markers. We recommend adding an inter-run calibrator sample to keep long studies comparable.
  • Helped connect phenotype shifts to functional assays in TAM-like models
    We're modeling tumor-associated macrophage-like states, which are rarely clean M1 or M2. This array helped us quantify polarization drift under tumor-conditioned media and compare it to cytokine secretion and phagocytosis changes. The panel approach made it easier to justify conclusions in a manuscript because we could show coordinated gene programs rather than cherry-picking a couple of markers. We also liked that it forced better experimental discipline-RNA QC, consistent input, and clear normalization rules. Overall, it's a strong tool for mechanistic studies where nuanced polarization states matter.

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

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