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Porcine Matrix metallopeptidase 13 (MMP13) ELISA Kit-Sandwich

Name: Porcine Matrix metallopeptidase 13 (MMP13) ELISA Kit-Sandwich
SKU: EK9F745
Rating: 5 (1 reviews)

Cat. No.EK9F745

Product TypeAnimal Immunoassay Kits

Size

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Product Overview

BioVenic Porcine MMP13 ELISA Kit-Sandwich is designed for the quantitative determination of Porcine matrix metallopeptidase 13 (MMP13) in serum, plasma, tissue homogenate, cell culture supernatant, cell lysate, and other biological fluids using a Sandwich ELISA method. For research use only.

Specifications

Assay Type ELISA-Sandwich

Specificity The assay kit is specific for Porcine MMP13.

Target Species Swine

Species Reactivity Swine

Detection Range 0.2-10 ng/mL

Sensitivity 0.03 ng/mL

Reproducibility Intra-Assay: CV < 10%; Inter-Assay: CV < 10%

Assay Time Around 180 min

Sample Requirement Serum, plasma, tissue homogenate, cell culture supernatant, cell lysate, and other biological fluids.

Target Information

Matrix metallopeptidase 13, also known as collagenase 3, is encoded by the MMP13 gene in pigs. Research found that the presence of IL-1α, IL-1RA, IL-2, IL-4, IL-6, and IL-10 and MMP-2, MMP-3, MMP-12, and MMP-13 in the synovial fluid was associated with better cartilage outcomes in a porcine model.

Target/Biomarker Porcine MMP13

Target Synonym matrix metallopeptidase 13; MMP-13; collagenase 3; matrix metallopeptidase 13 (collagenase 3); matrix metalloproteinase-13

Gene ID 397346

UniProt ID F1SV56

Shipping and Storage

This product is shipped with gel ice packs. It is recommended to store at 2-8 °C (Up to 6 months).

Documents

Datasheet

COA

To request a Certificate of Analysis, please enter the Lot No. in the search box. Note: Certificate of Analysis not available for kits.

The product is for research use only.
Not for commercial, prophylactic, diagnostic, or therapeutic applications.

References

Donnenfield, J. I. et al. Predicting severity of cartilage damage in a post-traumatic porcine model: Synovial fluid and gait in a support vector machine. PloS one. 2022, 17: e0268198.