Recombinant human CD26/DPP4 protein , 39-766aa

Recombinant human CD26/DPP4 protein , 39-766aa

Catalog Number:
P001445713NKM
Mfr. No.:
DPP0901
Price:
$279
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      • Overview
        • Please contact us at for specific academic pricing.

      • Properties
        • Protein Name
          TP103, T-cell activation antigen CD26, DPPIV, DPP4, Dipeptidylpeptidase IV (CD26 adenosine deaminase complexing protein 2), Dipeptidyl peptidase 4, CD26, Adenosine deaminase complexing protein 2, ADCP2, ADABP
          Type
          Recombinant Proteins
          Purification
          > 95% by SDS-PAGE
          Formulation
          Liquid. In 20mM Tris-HCl buffer (pH 8.0) containing 100mM NaCl, 1mM EDTA, 10% glycerol
          Storage
          Stored at +2°C to +8°C for 1 week. For long term storage, aliquot and store at -20°C to -80°C. Avoid repeated freezing and thawing cycles.
          Concentration
          0.5mg/ml (determined by absorbance at 280nm)
          Molecular Weight
          85.4 kDa (737aa) confirmed by MALDI-TOF
          Expression system
          Baculovirus

          More Information

          UniProt
          P27487

          * For research use only. Not intended for human, diagnostics or veterinary use.

      • Applications
        • Application
          SDS-PAGE; Enzyme Activity
      • Reference
        • Hussein GM, et al. Mate tea (Ilex paraguariensis) promotes satiety and body weight lowering in mice: involvement of glucagon-like peptide-1. (Biol Pharm Bull. 2011)
          Sato Y, et al. The role of dipeptidyl peptidase 4 (DPP4) in the preservation of renal function: DPP4 involvement in hemoglobin expression. (J Endocrinol. 2014)
          Roppongi S, et al. Crystal structures of a bacterial dipeptidyl peptidase IV reveal a novel substrate recognition mechanism distinct from that of mammalian orthologues. (Sci Rep. 2018)
          Guan C, et al. Strategic Preparations of DPP-IV Inhibitory Peptides from Val-Pro-Xaa and Ile-Pro-Xaa Peptide Mixtures. (Int J Pept Res Ther. 2020)
          Guan C, et al. A novel attention-based peptide language model for mining dipeptidyl peptidase-IV inhibitory peptides. (bioRxiv. 2022)

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