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Macrophage Colony Stimulating Factor (MCSF) ELISA Kit, qPCR (MTS-1123-HM8)

Overview

Description
Creative Biolabs provides sandwich ELISA kit for semi-quantitative measurement of Colony Stimulating Factor 1 Receptor (MCSF) in different sample types by qPCR.
Applications
ELISA
Qualified With
Quality Certificate
Reactivity
Human
Detection Method
qPCR
Method Type
Sandwich ELISA
Analytical Method
Semi-Quantitative
Sample Type
Cell Culture Supernatant, Plasma, Serum
Specificity
Colony Stimulating Factor 1 Receptor (MCSF)

Specification

Size
96 tests
Sample Volume
25 µL
Plate
Pre-coated
Bioassay Target Name
Colony Stimulating Factor 1 Receptor (MCSF)
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
colony stimulating factor 1
Synonyms
MCSF; CSF-1; PG-M-CSF
Background
The protein encoded by this gene is a cytokine that controls the production, differentiation, and function of macrophages. The active form of the protein is found extracellularly as a disulfide-linked homodimer, and is thought to be produced by proteolytic cleavage of membrane-bound precursors. The encoded protein may be involved in development of the placenta. Alternate splicing results in multiple transcript variants.
FAQs Customer Reviews Related Products

The page calls this "semi-quantitative measurement by qPCR." How should I structure my experiment so the conclusions are strong?

Because it's described as semi-quantitative, the strongest use is within-study comparisons under matched conditions. Keep matrices consistent across groups, process samples identically, and include at least one internal reference sample on every run. Report results as relative signal or fold-change rather than absolute concentration unless you have validated calibrators and parallelism. Incorporating spike recovery checks in representative matrices will make conclusions more defensible.

Can I compare results from this qPCR format directly to the colorimetric or fluorometric MCSF kits?

Direct one-to-one numeric comparison is not recommended because the readout principles and quantitation claims differ (semi-quantitative vs quantitative). A better approach is to compare directionality and relative trends: do groups move up or down consistently across formats? If you need absolute quantification for reporting concentrations, select the quantitative colorimetric or fluorometric options, and use this qPCR format for relative ranking when it best matches your lab's workflow.

What's the quickest way to troubleshoot unexpectedly low signal in a subset of samples?

First, rule out matrix inhibition by diluting the low-signal samples and checking whether signal increases proportionally. Add a spike-in control to see if recovery is suppressed. Also confirm sample handling-freeze-thaw history, clarification, and buffer composition-because inhibitors and degradation can disproportionately affect some samples. Finally, ensure your control samples behave as expected; if controls are fine, the issue is likely sample-specific rather than reagent-related.

  • Convenient semi-quantitative MCSF comparisons aligned with our workflow
    We adopted the qPCR-format MCSF kit to compare multiple stimulation conditions quickly. After adding internal reference samples and doing spike recovery in one representative matrix, results were reproducible and trends matched our expectations. We treated the output as semi-quantitative and focused on fold-changes rather than absolute concentration claims. It's a good fit for labs that want consistent relative comparisons without relying solely on absorbance-based readouts.
  • Works best when sample matrices are tightly controlled and standardized
    The first run was noisy because we mixed different sample buffers across groups. Once we standardized collection media and clarified samples consistently, the data improved significantly. The kit is useful for within-experiment ranking and it saved time when screening conditions. I recommend adding a pooled reference sample and repeating it across plates; it greatly improved our ability to compare runs from different days.
  • Good reproducibility after implementing dilution checks for inhibition
    A subset of our samples initially showed low signal. Dilution testing revealed inhibition in those matrices, and a simple dilution step resolved it while preserving group differences. After that, results were stable across repeats. This kit is not what I'd choose for publishing absolute pg/mL values, but it is very effective for relative comparisons and for identifying which conditions warrant deeper follow-up using quantitative methods.

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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