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Q-Plex™ Mouse IL-10

  • Regulatory status:RUO
  • Type:Singleplex Assays
  • Other names:IL-10, Cytokine synthesis inhibitory factor, B cell derived T cell growth factor, Mast cell growth factor III), Insulin receptor substrate (IRS)
  • Species:Mouse
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Cat. No. Size Price


463149MS 96 wells (1 kit)
PubMed Product Details
Technical Data

Cat # changed from RQS463149MS to 463149MS

Type

Singleplex Assays

Applications

Serum, Plasma, Cell culture supernatant

Sample Requirements

50 µl/well

Storage/Expiration

Store the complete kit at 2–8°C. Under these conditions, the kit is stable until the expiration date.

Calibration Range

2000–2.74 pg/mL

Limit of Detection

3 pg/mL

Summary

Features

  • For research use only
  • Detection Method: Chemiluminescent
  • The kit measures Mouse IL-6
  • This kit is validated for use with plasma, serum, and cell culture supernates
  • Wide range across the standard curve means fewer dilutions per sample.
  • Better sensitivity than traditional ELISAs capture low analyte levels.
  • High end range captures data for concentrated samples.
  • Intra-well precision from replicate micro-spots provides greater assurity of results
  • Easy to use ELISA protocol

Research topic

Cytokines and chemokines and related molecules, Animal studies

Summary

The Q-Plex™ Mouse IL-10 Kit is a fully quantitative ELISA. The assay measurement is achieved by placing two spots consisting of capture antibodies in a defined array to the bottom of each well of a 96-well plate. Along with the assay spots, there is one positive control spot for assuring proper assay procedure and for software overlay placement. High quality reagents help ensure the accuracy and precision of your results.

Using less than 50 μL of sample per well, up to 80 samples can be assayed for a single assay within 2.5 hours. The array design of the singleplex kit, allows the user to have intra-well replicates for additional statistical data. The Q-Plex™ Mouse IL-10 ELISA provides researchers an easy to use and cost effective means of generating data for each sample.

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