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Macrophage Chemokine Ligand 9 (CCL9) ELISA Kit, qPCR (MTS-1123-HM33)

Datasheet

Overview

Description

Creative Biolabs provides sandwich ELISA kit for semi-quantitative measurement of Chemokine Ligand 9 (CCL9) in different sample types by qPCR.

Applications

ELISA

Qualified With

Quality Certificate

Reactivity

Mouse

Detection Method

qPCR

Method Type

Sandwich ELISA

Analytical Method

Semi-Quantitative

Sensitivity

0.1 pg/mL

Sample Type

Cell Culture Supernatant, Plasma, Serum

Specificity

Chemokine Ligand 9 (CCL9)

Specification

Size

96 tests

Sample Volume

25 µL

Plate

Pre-coated

Bioassay Target Name

Chemokine Ligand 9 (CCL9)

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 9

Synonyms

CCF18; MRP-2; Scya9; Scya10

Background

Predicted to enable CCR1 chemokine receptor binding activity; chemoattractant activity; and chemokine activity. Acts upstream of or within negative regulation of myoblast differentiation. Predicted to be located in extracellular region. Predicted to be active in extracellular space. Is expressed in several structures, including alimentary system; brain; eye; genitourinary system; and limb. Orthologous to several human genes including CCL23 (C-C motif chemokine ligand 23).

FAQs Customer Reviews Related Products

The kit says qPCR detection-does that mean it's not fully quantitative like colorimetric ELISA?

The product overview describes this as a sandwich ELISA kit using qPCR as the detection method and positions it for semi-quantitative measurement of CCL9. That generally means it's excellent for robust relative comparisons (dose response, time-course, treatment ranking). If your project requires absolute concentration claims across multiple runs and matrices, we recommend validating key findings with a fully quantitative assay as part of your final reporting strategy.

What's the best way to set up controls so I can compare plates from different days?

We recommend including: (1) a no-template/blank control appropriate to your readout workflow, (2) a consistent positive control sample (aliquoted and frozen), and (3) a small dilution series of a pooled reference sample to confirm plate performance. With semi-quantitative assays, the pooled reference is especially helpful because it anchors your dataset to a stable point. Keeping extraction/handling consistent also matters, since variability often comes from upstream steps.

Can I use this kit for screening many samples quickly, like a treatment panel?

Yes-this is one of the most common use cases for semi-quantitative readouts. You can screen a broad treatment panel, identify high-responders, and then focus confirmatory work on a smaller subset. To make high-throughput screening reliable, we suggest running duplicates, using the same operator timing, and placing controls in multiple plate positions to monitor any edge effects. That way, you can trust rank-order conclusions across many samples.

Efficient for screening CCL9 responses across many treatments without overcomplicating workflow
We used this kit for a medium-throughput screen to compare CCL9 responses across multiple compounds. It was a good fit because we mainly needed relative ranking and fold-change, not absolute concentrations. Adding a pooled reference control on every plate made the day-to-day comparison much easier. After one pilot run to choose dilutions, the workflow became routine and we could process many samples with consistent comparative results.
Semi-quantitative but very reproducible trends when controls are handled carefully
The semi-quantitative positioning is accurate: it's excellent at showing directionality and consistent differences between groups. We got reproducible patterns over repeated runs as long as we standardized sample handling and included the same internal control each time. For publication, we plan to confirm a subset with an orthogonal quantitative method, but for discovery and prioritization, this kit has been a strong time-saver.
Great for comparative biology studies, especially time-course experiments and dose responses
Our main application was a time-course study where the key outcome was how quickly CCL9 increased after stimulation. This kit captured the expected kinetics and allowed clean comparisons between donors and conditions. We recommend spending a little time up front optimizing dilution and ensuring consistent handling, because semi-quant assays benefit heavily from good normalization practices. Once set, it produced dependable comparative biology signals.

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