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Macrophage Chemokine Ligand 10 (CXCL10) ELISA Kit, qPCR (MTS-1123-HM115)

Overview

Description
Creative Biolabs provides sandwich ELISA kit for semi-quantitative measurement of Chemokine Ligand 10 (CXCL10) 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 10 (CXCL10)

Specification

Size
96 tests
Sample Volume
25 µL
Plate
Pre-coated
Bioassay Target Name
Chemokine Ligand 10 (CXCL10)
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 10
Synonyms
C7; IFI10; INP10; IP-10; crg-2; mob-1; SCYB10; gIP-10
Background
This antimicrobial gene encodes a chemokine of the CXC subfamily and ligand for the receptor CXCR3. Binding of this protein to CXCR3 results in pleiotropic effects, including stimulation of monocytes, natural killer and T-cell migration, and modulation of adhesion molecule expression. This gene may also be a key regulator of the 'cytokine storm' immune response to SARS-CoV-2 infection.
Sub Cat Reactivity Sensitivity Detection Range  
MTS-1123-HM917 Human, Rhesus Monkey 2 pg/mL Inquiry
MTS-1123-HM918 Human 0.8 pg/mL Inquiry
MTS-1123-HM919 Mouse 1.5 pg/mL Inquiry
MTS-1123-HM920 Cow 0.012 ng/mL Inquiry
MTS-1123-HM921 Sheep 2.8 pg/mL Inquiry
MTS-1123-HM922 Pig 0.04 ng/mL Inquiry
FAQs Customer Reviews Related Products

My samples are limited and sometimes "dirty" (cell culture supernatants with serum, or lysates with inhibitors). What kinds of sample prep steps do you recommend to reduce interference and keep results reproducible?

For complex matrices, consistency is the biggest predictor of reproducible CXCL10 trends. Start by clarifying samples (spin to remove debris) and standardize dilution so the matrix composition is similar across groups (especially if serum percentages differ). If you suspect inhibitors, a simple dilution series can reveal whether signal behaves linearly-nonlinearity often indicates interference. Run matched blanks (matrix-only controls) and treat all groups identically in timing and temperature exposure. Even for semi-quantitative outputs, tight process control (same plate layout logic, same incubation windows, and harmonized storage conditions) will greatly improve comparability across experiments.

We already have a traditional colorimetric ELISA in-house for CXCL10. Why would I choose this qPCR-oriented option, and what's the best way to validate it against our existing method?

If your current goal is absolute quantification with a classical standard curve, a conventional colorimetric ELISA can be ideal. This kit, however, is described as a sandwich ELISA intended for semi-quantitative CXCL10 measurement by qPCR, which can be attractive when you prioritize sensitivity to relative differences, need a readout style aligned to nucleic-acid workflows, or want an orthogonal confirmation to protein-only colorimetric signals. For validation, test the same sample set side-by-side, compare rank ordering across conditions, and verify that high/low groups stay consistent. Correlation of trends is typically the most meaningful endpoint.

I'm running macrophage polarization experiments and need to track CXCL10 changes across many conditions. How does an "ELISA kit, qPCR" workflow fit into a routine screening setup, and what should I expect for data interpretation?

This kit is positioned for semi-quantitative measurement of CXCL10 using a sandwich ELISA format combined with a qPCR-based readout. In practice, it works well for comparing relative CXCL10 trends across multiple groups (e.g., untreated vs. IFN-γ-stimulated macrophages) where the key goal is consistency and directionality rather than absolute pg/mL precision. We recommend keeping sample handling uniform (same collection time, same freeze-thaw count) and including internal controls across plates/runs so you can confidently compare fold-changes between conditions.

  • Reliable trend detection for macrophage stimulation studies with clear separation
    We used this CXCL10 kit in an IFN-γ stimulation panel where we mainly needed to confirm "up vs. down" across many macrophage conditions rather than chase a perfect absolute concentration. The workflow fit our screening style, and the data were consistent in ranking the conditions from highest to lowest CXCL10. We appreciated that it's positioned for semi-quantitative measurement, which matched our expectations and reduced frustration about tiny numeric differences. Most importantly, repeats done on different days still showed the same biological story, which is what we needed for decision-making in early-stage experiments.
  • Good for comparative experiments, especially when sample variability is unavoidable
    Our samples varied a lot (different media and serum lots), and that usually creates headaches in standard ELISA. With this kit, we focused on controlling sample handling and running consistent internal controls, and the relative trends were stable enough to support our conclusions. It helped us confirm that CXCL10 responds strongly to inflammatory cues in our macrophage model and allowed quick go/no-go decisions on candidate modulators. I wouldn't market it as a perfect replacement for absolute quant ELISA when you need exact numbers for publication, but for comparative profiling it performed as expected and saved time.
  • Useful semi-quantitative readout for quick cytokine/chemokine profiling
    We chose this kit because it is explicitly described for semi-quantitative CXCL10 measurement with a sandwich ELISA structure and a qPCR readout. That matched our internal pipeline, where we already run many qPCR assays and wanted a compatible readout style. The biggest value was speed in interpreting results: the "signal shift" between treatment groups was obvious, and replicate variability was manageable when we standardized dilution and freeze-thaw cycles. For labs that think in terms of fold-change and condition ranking, it's a practical option.

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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