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Macrophage Chemokine Ligand 11 (CXCL11) ELISA Kit, qPCR (MTS-1123-HM117)

Overview

Description
Creative Biolabs provides sandwich ELISA kit for semi-quantitative measurement of Chemokine Ligand 11 (CXCL11) 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 11 (CXCL11)

Specification

Size
96 tests
Sample Volume
25 µL
Plate
Pre-coated
Bioassay Target Name
Chemokine Ligand 11 (CXCL11)
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-X-C motif chemokine ligand 11
Synonyms
IP9; H174; IP-9; b-R1; I-TAC; SCYB11; SCYB9B
Background
Chemokines are a group of small (approximately 8 to 14 kD), mostly basic, structurally related molecules that regulate cell trafficking of various types of leukocytes through interactions with a subset of 7-transmembrane, G protein-coupled receptors. Chemokines also play fundamental roles in the development, homeostasis, and function of the immune system, and they have effects on cells of the central nervous system as well as on endothelial cells involved in angiogenesis or angiostasis. Chemokines are divided into 2 major subfamilies, CXC and CC. This antimicrobial gene is a CXC member of the chemokine superfamily. Its encoded protein induces a chemotactic response in activated T-cells and is the dominant ligand for CXC receptor-3. The gene encoding this protein contains 4 exons and at least three polyadenylation signals which might reflect cell-specific regulation of expression. IFN-gamma is a potent inducer of transcription of this gene. Two transcript variants encoding different isoforms have been found for this gene.
Sub Cat Reactivity Sensitivity Detection Range  
MTS-1123-HM923 Human 0.2 pg/mL Inquiry
MTS-1123-HM924 Mouse 0.6 pg/mL Inquiry
FAQs Customer Reviews Related Products

For CXCL11, I mostly need to compare relative induction between macrophage treatments. Is this kit appropriate for that, and how should I report results to avoid over-claiming?

Yes-this CXCL11 kit is presented as a sandwich ELISA designed for semi-quantitative measurement by qPCR, which is well-suited to comparative readouts across conditions (e.g., control vs. stimulated macrophages). To avoid over-claiming, report findings as relative changes or normalized signals, and emphasize consistent processing rather than absolute concentrations. Include technical replicates and a bridging control sample across runs. If a manuscript requires absolute numbers, consider confirming key samples with a fully quantitative colorimetric ELISA while keeping this kit for higher-throughput screening.

We worry about run-to-run variability with semi-quantitative assays. What controls do you recommend so data remain comparable across plates and weeks?

The most effective strategy is a "control ladder." Include: (1) a negative matrix control, (2) a mid-level positive control (a pooled macrophage supernatant works well), and (3) a high-level control if you have a strongly stimulated sample. Run these controls on every plate in fixed positions. Track them on a simple Levey-Jennings style plot to spot drift early. Keep reagent handling consistent (same thaw pattern, same mix order) and standardize sample dilution. Semi-quantitative assays can be extremely dependable when you treat them like a controlled process rather than a one-off experiment.

If I'm monitoring multiple chemokines, can I align this kit's results with qPCR gene-expression panels, or are the outputs too different?

Many teams pair semi-quantitative protein-level assays with gene-expression panels to strengthen mechanistic interpretation. Because this kit uses a qPCR-based readout while still being a sandwich ELISA for CXCL11, it can feel operationally closer to nucleic-acid workflows than traditional colorimetric ELISA. That said, protein secretion and mRNA expression won't always match timepoint-by-timepoint. The best practice is to synchronize sampling times, compare trends rather than expecting perfect correlation, and use mismatches as biological insight (e.g., post-transcriptional regulation).

  • Excellent for relative CXCL11 screening across many macrophage conditions quickly
    We used this kit to compare CXCL11 responses across a large set of macrophage treatments, and it served its purpose well because it's described as semi-quantitative with a sandwich ELISA structure and a qPCR readout. Instead of obsessing over absolute concentrations, we focused on ranking conditions and identifying the strongest inducers. The signal differences between groups were consistent, and the workflow fit our high-throughput mindset. When we needed absolute numbers for a figure, we confirmed a subset with a quantitative ELISA, but for the broad screen this kit saved a lot of time.
  • Consistent trends across runs when paired with good internal controls
    Semi-quantitative assays can be frustrating if you don't anchor them with controls. Once we included a pooled supernatant as a bridging control on every plate, the kit delivered stable relative CXCL11 changes across different weeks. The strongest stimulation conditions always ranked highest, and negative controls stayed low. That consistency is exactly what we wanted for decision-making in an early discovery project. We appreciate that the kit is clearly positioned for semi-quantitative measurement, which set expectations appropriately and reduced debate about minor numeric shifts.
  • Helpful complement to transcript-level panels; highlights secretion-level biology
    We run transcript panels routinely, but mRNA does not always predict secreted chemokine abundance. This CXCL11 kit helped us add a secretion-focused layer without switching entirely to a classic quantitative ELISA for every sample. Because it's described as a sandwich ELISA with qPCR-based semi-quantitative measurement, it fit our lab's pipeline and provided interpretable trend data. In several cases, CXCL11 secretion lagged behind mRNA induction, which was scientifically useful rather than a problem. Overall, it's a practical bridging tool between expression screens and targeted quantitative confirmation.

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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